Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study

preprint OA: closed CC-BY-4.0

Abstract

BackgroundDisproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia.MethodsThe study has two distinct phases. In Phase 1, HCD solutions were developed through co-design workshops with vulnerable pregnant women and key stakeholders. Final solutions included home visit education, audio programs promoting couple discussion, and print materials, implemented in collaboration with community health workers and health officers. A community-based, quasi-experimental, mixed-method study design was used to assess differences between intervention and control arms. A panel sample was enrolled after screening for pregnancy and vulnerability level and surveyed at baseline and midline in Phase 1. Phase 2 adopts an identical design approach with a focus on refining Phase 1 solutions. Newly recruited pregnant women will receive refined solutions for six months, which will be evaluated using post-only end-line surveys and in-depth interviews.Conclusions and implicationsOur sequential approach to evaluating initial solutions, which in turn will inform the enhancement of solutions, will provide practical insights into how solutions are accepted among vulnerable women and how they can be better integrated into women's lives and health systems. This will inform equity-focused practice and policies targeting populations experiencing greater barriers to accessing care and provide insights into system strengthening in rural areas. Our findings will be disseminated to the Ethiopian Ministry of Health and its partners to inform large-scale implementation at the national level.
Full text 235,073 characters · extracted from preprint-html · click to expand
Developing and evaluating human-centered... | Gates Open Research "use strict";function _typeof(t){return(_typeof="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}!function(){var t=function(){var t,e,o=[],n=window,r=n;for(;r;){try{if(r.frames.__tcfapiLocator){t=r;break}}catch(t){}if(r===n.top)break;r=r.parent}t||(!function t(){var e=n.document,o=!!n.frames.__tcfapiLocator;if(!o)if(e.body){var r=e.createElement("iframe");r.style.cssText="display:none",r.name="__tcfapiLocator",e.body.appendChild(r)}else setTimeout(t,5);return!o}(),n.__tcfapi=function(){for(var t=arguments.length,n=new Array(t),r=0;r 3&&2===parseInt(n[1],10)&&"boolean"==typeof n[3]&&(e=n[3],"function"==typeof n[2]&&n[2]("set",!0)):"ping"===n[0]?"function"==typeof n[2]&&n[2]({gdprApplies:e,cmpLoaded:!1,cmpStatus:"stub"}):o.push(n)},n.addEventListener("message",(function(t){var e="string"==typeof t.data,o={};if(e)try{o=JSON.parse(t.data)}catch(t){}else o=t.data;var n="object"===_typeof(o)&&null!==o?o.__tcfapiCall:null;n&&window.__tcfapi(n.command,n.version,(function(o,r){var a={__tcfapiReturn:{returnValue:o,success:r,callId:n.callId}};t&&t.source&&t.source.postMessage&&t.source.postMessage(e?JSON.stringify(a):a,"*")}),n.parameter)}),!1))};"undefined"!=typeof module?module.exports=t:t()}(); dataLayer = dataLayer || []; // Standard GTM initialization - Google Consent Mode handles consent automatically (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl+ '>m_auth=hzk0Vc3qFsQYhCrIoHz68A>m_preview=env-1>m_cookies_win=x';f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-MWFK8L5J'); ;window.NREUM||(NREUM={});NREUM.init={distributed_tracing:{enabled:true},privacy:{cookies_enabled:true},ajax:{deny_list:["bam.nr-data.net"]}}; ;NREUM.loader_config={accountID:"438030",trustKey:"438030",agentID:"772317073",licenseKey:"97f8f67f26",applicationID:"772317073"} ;NREUM.info={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net",licenseKey:"97f8f67f26",applicationID:"772317073",sa:1} ;/*! For license information please see nr-loader-spa-1.236.0.min.js.LICENSE.txt */ (()=>{"use strict";var e,t,r={5763:(e,t,r)=>{r.d(t,{P_:()=>l,Mt:()=>g,C5:()=>s,DL:()=>v,OP:()=>T,lF:()=>D,Yu:()=>y,Dg:()=>h,CX:()=>c,GE:()=>b,sU:()=>_});var n=r(8632),i=r(9567);const o={beacon:n.ce.beacon,errorBeacon:n.ce.errorBeacon,licenseKey:void 0,applicationID:void 0,sa:void 0,queueTime:void 0,applicationTime:void 0,ttGuid:void 0,user:void 0,account:void 0,product:void 0,extra:void 0,jsAttributes:{},userAttributes:void 0,atts:void 0,transactionName:void 0,tNamePlain:void 0},a={};function s(e){if(!e)throw new Error("All info objects require an agent identifier!");if(!a[e])throw new Error("Info for ".concat(e," was never set"));return a[e]}function c(e,t){if(!e)throw new Error("All info objects require an agent identifier!");a[e]=(0,i.D)(t,o),(0,n.Qy)(e,a[e],"info")}var u=r(7056);const d=()=>{const e={blockSelector:"[data-nr-block]",maskInputOptions:{password:!0}};return{allow_bfcache:!0,privacy:{cookies_enabled:!0},ajax:{deny_list:void 0,enabled:!0,harvestTimeSeconds:10},distributed_tracing:{enabled:void 0,exclude_newrelic_header:void 0,cors_use_newrelic_header:void 0,cors_use_tracecontext_headers:void 0,allowed_origins:void 0},session:{domain:void 0,expiresMs:u.oD,inactiveMs:u.Hb},ssl:void 0,obfuscate:void 0,jserrors:{enabled:!0,harvestTimeSeconds:10},metrics:{enabled:!0},page_action:{enabled:!0,harvestTimeSeconds:30},page_view_event:{enabled:!0},page_view_timing:{enabled:!0,harvestTimeSeconds:30,long_task:!1},session_trace:{enabled:!0,harvestTimeSeconds:10},harvest:{tooManyRequestsDelay:60},session_replay:{enabled:!1,harvestTimeSeconds:60,sampleRate:.1,errorSampleRate:.1,maskTextSelector:"*",maskAllInputs:!0,get blockClass(){return"nr-block"},get ignoreClass(){return"nr-ignore"},get maskTextClass(){return"nr-mask"},get blockSelector(){return e.blockSelector},set blockSelector(t){e.blockSelector+=",".concat(t)},get maskInputOptions(){return e.maskInputOptions},set maskInputOptions(t){e.maskInputOptions={...t,password:!0}}},spa:{enabled:!0,harvestTimeSeconds:10}}},f={};function l(e){if(!e)throw new Error("All configuration objects require an agent identifier!");if(!f[e])throw new Error("Configuration for ".concat(e," was never set"));return f[e]}function h(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");f[e]=(0,i.D)(t,d()),(0,n.Qy)(e,f[e],"config")}function g(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");var r=l(e);if(r){for(var n=t.split("."),i=0;i {r.d(t,{D:()=>i});var n=r(50);function i(e,t){try{if(!e||"object"!=typeof e)return(0,n.Z)("Setting a Configurable requires an object as input");if(!t||"object"!=typeof t)return(0,n.Z)("Setting a Configurable requires a model to set its initial properties");const r=Object.create(Object.getPrototypeOf(t),Object.getOwnPropertyDescriptors(t)),o=0===Object.keys(r).length?e:r;for(let a in o)if(void 0!==e[a])try{"object"==typeof e[a]&&"object"==typeof t[a]?r[a]=i(e[a],t[a]):r[a]=e[a]}catch(e){(0,n.Z)("An error occurred while setting a property of a Configurable",e)}return r}catch(e){(0,n.Z)("An error occured while setting a Configurable",e)}}},6818:(e,t,r)=>{r.d(t,{Re:()=>i,gF:()=>o,q4:()=>n});const n="1.236.0",i="PROD",o="CDN"},385:(e,t,r)=>{r.d(t,{FN:()=>a,IF:()=>u,Nk:()=>f,Tt:()=>s,_A:()=>o,il:()=>n,pL:()=>c,v6:()=>i,w1:()=>d});const n="undefined"!=typeof window&&!!window.document,i="undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self.navigator instanceof WorkerNavigator||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis.navigator instanceof WorkerNavigator),o=n?window:"undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis),a=""+o?.location,s=/iPad|iPhone|iPod/.test(navigator.userAgent),c=s&&"undefined"==typeof SharedWorker,u=(()=>{const e=navigator.userAgent.match(/Firefox[/\s](\d+\.\d+)/);return Array.isArray(e)&&e.length>=2?+e[1]:0})(),d=Boolean(n&&window.document.documentMode),f=!!navigator.sendBeacon},1117:(e,t,r)=>{r.d(t,{w:()=>o});var n=r(50);const i={agentIdentifier:"",ee:void 0};class o{constructor(e){try{if("object"!=typeof e)return(0,n.Z)("shared context requires an object as input");this.sharedContext={},Object.assign(this.sharedContext,i),Object.entries(e).forEach((e=>{let[t,r]=e;Object.keys(i).includes(t)&&(this.sharedContext[t]=r)}))}catch(e){(0,n.Z)("An error occured while setting SharedContext",e)}}}},8e3:(e,t,r)=>{r.d(t,{L:()=>d,R:()=>c});var n=r(2177),i=r(1284),o=r(4322),a=r(3325);const s={};function c(e,t){const r={staged:!1,priority:a.p[t]||0};u(e),s[e].get(t)||s[e].set(t,r)}function u(e){e&&(s[e]||(s[e]=new Map))}function d(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"feature";if(u(e),!e||!s[e].get(t))return a(t);s[e].get(t).staged=!0;const r=[...s[e]];function a(t){const r=e?n.ee.get(e):n.ee,a=o.X.handlers;if(r.backlog&&a){var s=r.backlog[t],c=a[t];if(c){for(var u=0;s&&u {let[t,r]=e;return r.staged}))&&(r.sort(((e,t)=>e[1].priority-t[1].priority)),r.forEach((e=>{let[t]=e;a(t)})))}function f(e,t){var r=e[1];(0,i.D)(t[r],(function(t,r){var n=e[0];if(r[0]===n){var i=r[1],o=e[3],a=e[2];i.apply(o,a)}}))}},2177:(e,t,r)=>{r.d(t,{c:()=>f,ee:()=>u});var n=r(8632),i=r(2210),o=r(1284),a=r(5763),s="nr@context";let c=(0,n.fP)();var u;function d(){}function f(e){return(0,i.X)(e,s,l)}function l(){return new d}function h(){u.aborted=!0,u.backlog={}}c.ee?u=c.ee:(u=function e(t,r){var n={},c={},f={},g=!1;try{g=16===r.length&&(0,a.OP)(r).isolatedBacklog}catch(e){}var p={on:b,addEventListener:b,removeEventListener:y,emit:v,get:x,listeners:w,context:m,buffer:A,abort:h,aborted:!1,isBuffering:E,debugId:r,backlog:g?{}:t&&"object"==typeof t.backlog?t.backlog:{}};return p;function m(e){return e&&e instanceof d?e:e?(0,i.X)(e,s,l):l()}function v(e,r,n,i,o){if(!1!==o&&(o=!0),!u.aborted||i){t&&o&&t.emit(e,r,n);for(var a=m(n),s=w(e),d=s.length,f=0;fn,p:()=>i});var n=r(2177).ee.get("handle");function i(e,t,r,i,o){o?(o.buffer([e],i),o.emit(e,t,r)):(n.buffer([e],i),n.emit(e,t,r))}},4322:(e,t,r)=>{r.d(t,{X:()=>o});var n=r(5546);o.on=a;var i=o.handlers={};function o(e,t,r,o){a(o||n.E,i,e,t,r)}function a(e,t,r,i,o){o||(o="feature"),e||(e=n.E);var a=t[o]=t[o]||{};(a[r]=a[r]||[]).push([e,i])}},3239:(e,t,r)=>{r.d(t,{bP:()=>s,iz:()=>c,m$:()=>a});var n=r(385);let i=!1,o=!1;try{const e={get passive(){return i=!0,!1},get signal(){return o=!0,!1}};n._A.addEventListener("test",null,e),n._A.removeEventListener("test",null,e)}catch(e){}function a(e,t){return i||o?{capture:!!e,passive:i,signal:t}:!!e}function s(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;window.addEventListener(e,t,a(r,n))}function c(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;document.addEventListener(e,t,a(r,n))}},4402:(e,t,r)=>{r.d(t,{Ht:()=>u,M:()=>c,Rl:()=>a,ky:()=>s});var n=r(385);const i="xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx";function o(e,t){return e?15&e[t]:16*Math.random()|0}function a(){const e=n._A?.crypto||n._A?.msCrypto;let t,r=0;return e&&e.getRandomValues&&(t=e.getRandomValues(new Uint8Array(31))),i.split("").map((e=>"x"===e?o(t,++r).toString(16):"y"===e?(3&o()|8).toString(16):e)).join("")}function s(e){const t=n._A?.crypto||n._A?.msCrypto;let r,i=0;t&&t.getRandomValues&&(r=t.getRandomValues(new Uint8Array(31)));const a=[];for(var s=0;s {r.d(t,{Bq:()=>n,Hb:()=>o,oD:()=>i});const n="NRBA",i=144e5,o=18e5},7894:(e,t,r)=>{function n(){return Math.round(performance.now())}r.d(t,{z:()=>n})},7243:(e,t,r)=>{r.d(t,{e:()=>o});var n=r(385),i={};function o(e){if(e in i)return i[e];if(0===(e||"").indexOf("data:"))return{protocol:"data"};let t;var r=n._A?.location,o={};if(n.il)t=document.createElement("a"),t.href=e;else try{t=new URL(e,r.href)}catch(e){return o}o.port=t.port;var a=t.href.split("://");!o.port&&a[1]&&(o.port=a[1].split("/")[0].split("@").pop().split(":")[1]),o.port&&"0"!==o.port||(o.port="https"===a[0]?"443":"80"),o.hostname=t.hostname||r.hostname,o.pathname=t.pathname,o.protocol=a[0],"/"!==o.pathname.charAt(0)&&(o.pathname="/"+o.pathname);var s=!t.protocol||":"===t.protocol||t.protocol===r.protocol,c=t.hostname===r.hostname&&t.port===r.port;return o.sameOrigin=s&&(!t.hostname||c),"/"===o.pathname&&(i[e]=o),o}},50:(e,t,r)=>{function n(e,t){"function"==typeof console.warn&&(console.warn("New Relic: ".concat(e)),t&&console.warn(t))}r.d(t,{Z:()=>n})},2587:(e,t,r)=>{r.d(t,{N:()=>c,T:()=>u});var n=r(2177),i=r(5546),o=r(8e3),a=r(3325);const s={stn:[a.D.sessionTrace],err:[a.D.jserrors,a.D.metrics],ins:[a.D.pageAction],spa:[a.D.spa],sr:[a.D.sessionReplay,a.D.sessionTrace]};function c(e,t){const r=n.ee.get(t);e&&"object"==typeof e&&(Object.entries(e).forEach((e=>{let[t,n]=e;void 0===u[t]&&(s[t]?s[t].forEach((e=>{n?(0,i.p)("feat-"+t,[],void 0,e,r):(0,i.p)("block-"+t,[],void 0,e,r),(0,i.p)("rumresp-"+t,[Boolean(n)],void 0,e,r)})):n&&(0,i.p)("feat-"+t,[],void 0,void 0,r),u[t]=Boolean(n))})),Object.keys(s).forEach((e=>{void 0===u[e]&&(s[e]?.forEach((t=>(0,i.p)("rumresp-"+e,[!1],void 0,t,r))),u[e]=!1)})),(0,o.L)(t,a.D.pageViewEvent))}const u={}},2210:(e,t,r)=>{r.d(t,{X:()=>i});var n=Object.prototype.hasOwnProperty;function i(e,t,r){if(n.call(e,t))return e[t];var i=r();if(Object.defineProperty&&Object.keys)try{return Object.defineProperty(e,t,{value:i,writable:!0,enumerable:!1}),i}catch(e){}return e[t]=i,i}},1284:(e,t,r)=>{r.d(t,{D:()=>n});const n=(e,t)=>Object.entries(e||{}).map((e=>{let[r,n]=e;return t(r,n)}))},4351:(e,t,r)=>{r.d(t,{P:()=>o});var n=r(2177);const i=()=>{const e=new WeakSet;return(t,r)=>{if("object"==typeof r&&null!==r){if(e.has(r))return;e.add(r)}return r}};function o(e){try{return JSON.stringify(e,i())}catch(e){try{n.ee.emit("internal-error",[e])}catch(e){}}}},3960:(e,t,r)=>{r.d(t,{K:()=>a,b:()=>o});var n=r(3239);function i(){return"undefined"==typeof document||"complete"===document.readyState}function o(e,t){if(i())return e();(0,n.bP)("load",e,t)}function a(e){if(i())return e();(0,n.iz)("DOMContentLoaded",e)}},8632:(e,t,r)=>{r.d(t,{EZ:()=>u,Qy:()=>c,ce:()=>o,fP:()=>a,gG:()=>d,mF:()=>s});var n=r(7894),i=r(385);const o={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net"};function a(){return i._A.NREUM||(i._A.NREUM={}),void 0===i._A.newrelic&&(i._A.newrelic=i._A.NREUM),i._A.NREUM}function s(){let e=a();return e.o||(e.o={ST:i._A.setTimeout,SI:i._A.setImmediate,CT:i._A.clearTimeout,XHR:i._A.XMLHttpRequest,REQ:i._A.Request,EV:i._A.Event,PR:i._A.Promise,MO:i._A.MutationObserver,FETCH:i._A.fetch}),e}function c(e,t,r){let i=a();const o=i.initializedAgents||{},s=o[e]||{};return Object.keys(s).length||(s.initializedAt={ms:(0,n.z)(),date:new Date}),i.initializedAgents={...o,[e]:{...s,[r]:t}},i}function u(e,t){a()[e]=t}function d(){return function(){let e=a();const t=e.info||{};e.info={beacon:o.beacon,errorBeacon:o.errorBeacon,...t}}(),function(){let e=a();const t=e.init||{};e.init={...t}}(),s(),function(){let e=a();const t=e.loader_config||{};e.loader_config={...t}}(),a()}},7956:(e,t,r)=>{r.d(t,{N:()=>i});var n=r(3239);function i(e){let t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2?arguments[2]:void 0,i=arguments.length>3?arguments[3]:void 0;return void(0,n.iz)("visibilitychange",(function(){if(t)return void("hidden"==document.visibilityState&&e());e(document.visibilityState)}),r,i)}},1214:(e,t,r)=>{r.d(t,{em:()=>v,u5:()=>N,QU:()=>S,_L:()=>I,Gm:()=>L,Lg:()=>M,gy:()=>U,BV:()=>Q,Kf:()=>ee});var n=r(2177);const i="nr@original";var o=Object.prototype.hasOwnProperty,a=!1;function s(e,t){return e||(e=n.ee),r.inPlace=function(e,t,n,i,o){n||(n="");var a,s,c,u="-"===n.charAt(0);for(c=0;c 2?n-2:0),o=2;o {r(A[T],e,w),r(E[T],e,w)})),r(l._A,"fetch",y),t.on(y+"end",(function(e,r){var n=this;if(r){var i=r.headers.get("content-length");null!==i&&(n.rxSize=i),t.emit(y+"done",[null,r],n)}else t.emit(y+"done",[e],n)})),t}const O={},j=["pushState","replaceState"];function S(e){const t=function(e){return(e||n.ee).get("history")}(e);return!l.il||O[t.debugId]++||(O[t.debugId]=1,s(t).inPlace(window.history,j,"-")),t}var P=r(3239);const C={},R=["appendChild","insertBefore","replaceChild"];function I(e){const t=function(e){return(e||n.ee).get("jsonp")}(e);if(!l.il||C[t.debugId])return t;C[t.debugId]=!0;var r=s(t),i=/[?&](?:callback|cb)=([^&#]+)/,o=/(.*)\.([^.]+)/,a=/^(\w+)(\.|$)(.*)$/;function c(e,t){var r=e.match(a),n=r[1],i=r[3];return i?c(i,t[n]):t[n]}return r.inPlace(Node.prototype,R,"dom-"),t.on("dom-start",(function(e){!function(e){if(!e||"string"!=typeof e.nodeName||"script"!==e.nodeName.toLowerCase())return;if("function"!=typeof e.addEventListener)return;var n=(a=e.src,s=a.match(i),s?s[1]:null);var a,s;if(!n)return;var u=function(e){var t=e.match(o);if(t&&t.length>=3)return{key:t[2],parent:c(t[1],window)};return{key:e,parent:window}}(n);if("function"!=typeof u.parent[u.key])return;var d={};function f(){t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}function l(){t.emit("jsonp-error",[],d),t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}r.inPlace(u.parent,[u.key],"cb-",d),e.addEventListener("load",f,(0,P.m$)(!1)),e.addEventListener("error",l,(0,P.m$)(!1)),t.emit("new-jsonp",[e.src],d)}(e[0])})),t}var k=r(5763);const H={};function L(e){const t=function(e){return(e||n.ee).get("mutation")}(e);if(!l.il||H[t.debugId])return t;H[t.debugId]=!0;var r=s(t),i=k.Yu.MO;return i&&(window.MutationObserver=function(e){return this instanceof i?new i(r(e,"fn-")):i.apply(this,arguments)},MutationObserver.prototype=i.prototype),t}const z={};function M(e){const t=function(e){return(e||n.ee).get("promise")}(e);if(z[t.debugId])return t;z[t.debugId]=!0;var r=n.c,o=s(t),a=k.Yu.PR;return a&&function(){function e(r){var n=t.context(),i=o(r,"executor-",n,null,!1);const s=Reflect.construct(a,[i],e);return t.context(s).getCtx=function(){return n},s}l._A.Promise=e,Object.defineProperty(e,"name",{value:"Promise"}),e.toString=function(){return a.toString()},Object.setPrototypeOf(e,a),["all","race"].forEach((function(r){const n=a[r];e[r]=function(e){let i=!1;[...e||[]].forEach((e=>{this.resolve(e).then(a("all"===r),a(!1))}));const o=n.apply(this,arguments);return o;function a(e){return function(){t.emit("propagate",[null,!i],o,!1,!1),i=i||!e}}}})),["resolve","reject"].forEach((function(r){const n=a[r];e[r]=function(e){const r=n.apply(this,arguments);return e!==r&&t.emit("propagate",[e,!0],r,!1,!1),r}})),e.prototype=a.prototype;const n=a.prototype.then;a.prototype.then=function(){var e=this,i=r(e);i.promise=e;for(var a=arguments.length,s=new Array(a),c=0;c e())),t};function m(e,t){i.inPlace(t,["onreadystatechange"],"fn-",E)}function b(){var e=this,t=r.context(e);e.readyState>3&&!t.resolved&&(t.resolved=!0,r.emit("xhr-resolved",[],e)),i.inPlace(e,f,"fn-",E)}if(function(e,t){for(var r in e)t[r]=e[r]}(o,p),p.prototype=o.prototype,i.inPlace(p.prototype,J,"-xhr-",E),r.on("send-xhr-start",(function(e,t){m(e,t),function(e){h.push(e),a&&(y?y.then(A):u?u(A):(w=-w,x.data=w))}(t)})),r.on("open-xhr-start",m),a){var y=c&&c.resolve();if(!u&&!c){var w=1,x=document.createTextNode(w);new a(A).observe(x,{characterData:!0})}}else t.on("fn-end",(function(e){e[0]&&e[0].type===d||A()}));function A(){for(var e=0;e {r.d(t,{t:()=>n});const n=r(3325).D.ajax},6660:(e,t,r)=>{r.d(t,{A:()=>i,t:()=>n});const n=r(3325).D.jserrors,i="nr@seenError"},3081:(e,t,r)=>{r.d(t,{gF:()=>o,mY:()=>i,t9:()=>n,vz:()=>s,xS:()=>a});const n=r(3325).D.metrics,i="sm",o="cm",a="storeSupportabilityMetrics",s="storeEventMetrics"},4649:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageAction},7633:(e,t,r)=>{r.d(t,{Dz:()=>i,OJ:()=>a,qw:()=>o,t9:()=>n});const n=r(3325).D.pageViewEvent,i="firstbyte",o="domcontent",a="windowload"},9251:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageViewTiming},3614:(e,t,r)=>{r.d(t,{BST_RESOURCE:()=>i,END:()=>s,FEATURE_NAME:()=>n,FN_END:()=>u,FN_START:()=>c,PUSH_STATE:()=>d,RESOURCE:()=>o,START:()=>a});const n=r(3325).D.sessionTrace,i="bstResource",o="resource",a="-start",s="-end",c="fn"+a,u="fn"+s,d="pushState"},7836:(e,t,r)=>{r.d(t,{BODY:()=>A,CB_END:()=>E,CB_START:()=>u,END:()=>x,FEATURE_NAME:()=>i,FETCH:()=>_,FETCH_BODY:()=>v,FETCH_DONE:()=>m,FETCH_START:()=>p,FN_END:()=>c,FN_START:()=>s,INTERACTION:()=>l,INTERACTION_API:()=>d,INTERACTION_EVENTS:()=>o,JSONP_END:()=>b,JSONP_NODE:()=>g,JS_TIME:()=>T,MAX_TIMER_BUDGET:()=>a,REMAINING:()=>f,SPA_NODE:()=>h,START:()=>w,originalSetTimeout:()=>y});var n=r(5763);const i=r(3325).D.spa,o=["click","submit","keypress","keydown","keyup","change"],a=999,s="fn-start",c="fn-end",u="cb-start",d="api-ixn-",f="remaining",l="interaction",h="spaNode",g="jsonpNode",p="fetch-start",m="fetch-done",v="fetch-body-",b="jsonp-end",y=n.Yu.ST,w="-start",x="-end",A="-body",E="cb"+x,T="jsTime",_="fetch"},5938:(e,t,r)=>{r.d(t,{W:()=>o});var n=r(5763),i=r(2177);class o{constructor(e,t,r){this.agentIdentifier=e,this.aggregator=t,this.ee=i.ee.get(e,(0,n.OP)(this.agentIdentifier).isolatedBacklog),this.featureName=r,this.blocked=!1}}},9144:(e,t,r)=>{r.d(t,{j:()=>m});var n=r(3325),i=r(5763),o=r(5546),a=r(2177),s=r(7894),c=r(8e3),u=r(3960),d=r(385),f=r(50),l=r(3081),h=r(8632);function g(){const e=(0,h.gG)();["setErrorHandler","finished","addToTrace","inlineHit","addRelease","addPageAction","setCurrentRouteName","setPageViewName","setCustomAttribute","interaction","noticeError","setUserId"].forEach((t=>{e[t]=function(){for(var r=arguments.length,n=new Array(r),i=0;i 1?r-1:0),i=1;i {e.exposed&&e.api[t]&&o.push(e.api[t](...n))})),o.length>1?o:o[0]}(t,...n)}}))}var p=r(2587);function m(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},m=arguments.length>2?arguments[2]:void 0,v=arguments.length>3?arguments[3]:void 0,{init:b,info:y,loader_config:w,runtime:x={loaderType:m},exposed:A=!0}=t;const E=(0,h.gG)();y||(b=E.init,y=E.info,w=E.loader_config),(0,i.Dg)(e,b||{}),(0,i.GE)(e,w||{}),(0,i.sU)(e,x),y.jsAttributes??={},d.v6&&(y.jsAttributes.isWorker=!0),(0,i.CX)(e,y),g();const T=function(e,t){t||(0,c.R)(e,"api");const h={};var g=a.ee.get(e),p=g.get("tracer"),m="api-",v=m+"ixn-";function b(t,r,n,o){const a=(0,i.C5)(e);return null===r?delete a.jsAttributes[t]:(0,i.CX)(e,{...a,jsAttributes:{...a.jsAttributes,[t]:r}}),x(m,n,!0,o||null===r?"session":void 0)(t,r)}function y(){}["setErrorHandler","finished","addToTrace","inlineHit","addRelease"].forEach((e=>h[e]=x(m,e,!0,"api"))),h.addPageAction=x(m,"addPageAction",!0,n.D.pageAction),h.setCurrentRouteName=x(m,"routeName",!0,n.D.spa),h.setPageViewName=function(t,r){if("string"==typeof t)return"/"!==t.charAt(0)&&(t="/"+t),(0,i.OP)(e).customTransaction=(r||"http://custom.transaction")+t,x(m,"setPageViewName",!0)()},h.setCustomAttribute=function(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];if("string"==typeof e){if(["string","number"].includes(typeof t)||null===t)return b(e,t,"setCustomAttribute",r);(0,f.Z)("Failed to execute setCustomAttribute.\nNon-null value must be a string or number type, but a type of was provided."))}else(0,f.Z)("Failed to execute setCustomAttribute.\nName must be a string type, but a type of was provided."))},h.setUserId=function(e){if("string"==typeof e||null===e)return b("enduser.id",e,"setUserId",!0);(0,f.Z)("Failed to execute setUserId.\nNon-null value must be a string type, but a type of was provided."))},h.interaction=function(){return(new y).get()};var w=y.prototype={createTracer:function(e,t){var r={},i=this,a="function"==typeof t;return(0,o.p)(v+"tracer",[(0,s.z)(),e,r],i,n.D.spa,g),function(){if(p.emit((a?"":"no-")+"fn-start",[(0,s.z)(),i,a],r),a)try{return t.apply(this,arguments)}catch(e){throw p.emit("fn-err",[arguments,this,"string"==typeof e?new Error(e):e],r),e}finally{p.emit("fn-end",[(0,s.z)()],r)}}}};function x(e,t,r,i){return function(){return(0,o.p)(l.xS,["API/"+t+"/called"],void 0,n.D.metrics,g),i&&(0,o.p)(e+t,[(0,s.z)(),...arguments],r?null:this,i,g),r?void 0:this}}function A(){r.e(439).then(r.bind(r,7438)).then((t=>{let{setAPI:r}=t;r(e),(0,c.L)(e,"api")})).catch((()=>(0,f.Z)("Downloading runtime APIs failed...")))}return["actionText","setName","setAttribute","save","ignore","onEnd","getContext","end","get"].forEach((e=>{w[e]=x(v,e,void 0,n.D.spa)})),h.noticeError=function(e,t){"string"==typeof e&&(e=new Error(e)),(0,o.p)(l.xS,["API/noticeError/called"],void 0,n.D.metrics,g),(0,o.p)("err",[e,(0,s.z)(),!1,t],void 0,n.D.jserrors,g)},d.il?(0,u.b)((()=>A()),!0):A(),h}(e,v);return(0,h.Qy)(e,T,"api"),(0,h.Qy)(e,A,"exposed"),(0,h.EZ)("activatedFeatures",p.T),T}},3325:(e,t,r)=>{r.d(t,{D:()=>n,p:()=>i});const n={ajax:"ajax",jserrors:"jserrors",metrics:"metrics",pageAction:"page_action",pageViewEvent:"page_view_event",pageViewTiming:"page_view_timing",sessionReplay:"session_replay",sessionTrace:"session_trace",spa:"spa"},i={[n.pageViewEvent]:1,[n.pageViewTiming]:2,[n.metrics]:3,[n.jserrors]:4,[n.ajax]:5,[n.sessionTrace]:6,[n.pageAction]:7,[n.spa]:8,[n.sessionReplay]:9}}},n={};function i(e){var t=n[e];if(void 0!==t)return t.exports;var o=n[e]={exports:{}};return r[e](o,o.exports,i),o.exports}i.m=r,i.d=(e,t)=>{for(var r in t)i.o(t,r)&&!i.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:t[r]})},i.f={},i.e=e=>Promise.all(Object.keys(i.f).reduce(((t,r)=>(i.f[r](e,t),t)),[])),i.u=e=>(({78:"page_action-aggregate",147:"metrics-aggregate",242:"session-manager",317:"jserrors-aggregate",348:"page_view_timing-aggregate",412:"lazy-feature-loader",439:"async-api",538:"recorder",590:"session_replay-aggregate",675:"compressor",733:"session_trace-aggregate",786:"page_view_event-aggregate",873:"spa-aggregate",898:"ajax-aggregate"}[e]||e)+"."+{78:"ac76d497",147:"3dc53903",148:"1a20d5fe",242:"2a64278a",317:"49e41428",348:"bd6de33a",412:"2f55ce66",439:"30bd804e",538:"1b18459f",590:"cf0efb30",675:"ae9f91a8",733:"83105561",786:"06482edd",860:"03a8b7a5",873:"e6b09d52",898:"998ef92b"}[e]+"-1.236.0.min.js"),i.o=(e,t)=>Object.prototype.hasOwnProperty.call(e,t),e={},t="NRBA:",i.l=(r,n,o,a)=>{if(e[r])e[r].push(n);else{var s,c;if(void 0!==o)for(var u=document.getElementsByTagName("script"),d=0;d {s.onerror=s.onload=null,clearTimeout(h);var i=e[r];if(delete e[r],s.parentNode&&s.parentNode.removeChild(s),i&&i.forEach((e=>e(n))),t)return t(n)},h=setTimeout(l.bind(null,void 0,{type:"timeout",target:s}),12e4);s.onerror=l.bind(null,s.onerror),s.onload=l.bind(null,s.onload),c&&document.head.appendChild(s)}},i.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},i.j=364,i.p="https://js-agent.newrelic.com/",(()=>{var e={364:0,953:0};i.f.j=(t,r)=>{var n=i.o(e,t)?e[t]:void 0;if(0!==n)if(n)r.push(n[2]);else{var o=new Promise(((r,i)=>n=e[t]=[r,i]));r.push(n[2]=o);var a=i.p+i.u(t),s=new Error;i.l(a,(r=>{if(i.o(e,t)&&(0!==(n=e[t])&&(e[t]=void 0),n)){var o=r&&("load"===r.type?"missing":r.type),a=r&&r.target&&r.target.src;s.message="Loading chunk "+t+" failed.\n("+o+": "+a+")",s.name="ChunkLoadError",s.type=o,s.request=a,n[1](s)}}),"chunk-"+t,t)}};var t=(t,r)=>{var n,o,[a,s,c]=r,u=0;if(a.some((t=>0!==e[t]))){for(n in s)i.o(s,n)&&(i.m[n]=s[n]);if(c)c(i)}for(t&&t(r);u {i.r(o);var e=i(3325),t=i(5763);const r=Object.values(e.D);function n(e){const n={};return r.forEach((r=>{n[r]=function(e,r){return!1!==(0,t.Mt)(r,"".concat(e,".enabled"))}(r,e)})),n}var a=i(9144);var s=i(5546),c=i(385),u=i(8e3),d=i(5938),f=i(3960),l=i(50);class h extends d.W{constructor(e,t,r){let n=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];super(e,t,r),this.auto=n,this.abortHandler,this.featAggregate,this.onAggregateImported,n&&(0,u.R)(e,r)}importAggregator(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};if(this.featAggregate||!this.auto)return;const r=c.il&&!0===(0,t.Mt)(this.agentIdentifier,"privacy.cookies_enabled");let n;this.onAggregateImported=new Promise((e=>{n=e}));const o=async()=>{let t;try{if(r){const{setupAgentSession:e}=await Promise.all([i.e(860),i.e(242)]).then(i.bind(i,3228));t=e(this.agentIdentifier)}}catch(e){(0,l.Z)("A problem occurred when starting up session manager. This page will not start or extend any session.",e)}try{if(!this.shouldImportAgg(this.featureName,t))return void(0,u.L)(this.agentIdentifier,this.featureName);const{lazyFeatureLoader:r}=await i.e(412).then(i.bind(i,8582)),{Aggregate:o}=await r(this.featureName,"aggregate");this.featAggregate=new o(this.agentIdentifier,this.aggregator,e),n(!0)}catch(e){(0,l.Z)("Downloading and initializing ".concat(this.featureName," failed..."),e),this.abortHandler?.(),n(!1)}};c.il?(0,f.b)((()=>o()),!0):o()}shouldImportAgg(r,n){return r!==e.D.sessionReplay||!1!==(0,t.Mt)(this.agentIdentifier,"session_trace.enabled")&&(!!n?.isNew||!!n?.state.sessionReplay)}}var g=i(7633),p=i(7894);class m extends h{static featureName=g.t9;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(super(r,n,g.t9,i),("undefined"==typeof PerformanceNavigationTiming||c.Tt)&&"undefined"!=typeof PerformanceTiming){const n=(0,t.OP)(r);n[g.Dz]=Math.max(Date.now()-n.offset,0),(0,f.K)((()=>n[g.qw]=Math.max((0,p.z)()-n[g.Dz],0))),(0,f.b)((()=>{const t=(0,p.z)();n[g.OJ]=Math.max(t-n[g.Dz],0),(0,s.p)("timing",["load",t],void 0,e.D.pageViewTiming,this.ee)}))}this.importAggregator()}}var v=i(1117),b=i(1284);class y extends v.w{constructor(e){super(e),this.aggregatedData={}}store(e,t,r,n,i){var o=this.getBucket(e,t,r,i);return o.metrics=function(e,t){t||(t={count:0});return t.count+=1,(0,b.D)(e,(function(e,r){t[e]=w(r,t[e])})),t}(n,o.metrics),o}merge(e,t,r,n,i){var o=this.getBucket(e,t,n,i);if(o.metrics){var a=o.metrics;a.count+=r.count,(0,b.D)(r,(function(e,t){if("count"!==e){var n=a[e],i=r[e];i&&!i.c?a[e]=w(i.t,n):a[e]=function(e,t){if(!t)return e;t.c||(t=x(t.t));return t.min=Math.min(e.min,t.min),t.max=Math.max(e.max,t.max),t.t+=e.t,t.sos+=e.sos,t.c+=e.c,t}(i,a[e])}}))}else o.metrics=r}storeMetric(e,t,r,n){var i=this.getBucket(e,t,r);return i.stats=w(n,i.stats),i}getBucket(e,t,r,n){this.aggregatedData[e]||(this.aggregatedData[e]={});var i=this.aggregatedData[e][t];return i||(i=this.aggregatedData[e][t]={params:r||{}},n&&(i.custom=n)),i}get(e,t){return t?this.aggregatedData[e]&&this.aggregatedData[e][t]:this.aggregatedData[e]}take(e){for(var t={},r="",n=!1,i=0;i t.max&&(t.max=e),e 2&&void 0!==arguments[2])||arguments[2];super(e,r,j.t,n),c.il&&((0,t.OP)(e).initHidden=Boolean("hidden"===document.visibilityState),(0,N.N)((()=>(0,s.p)("docHidden",[(0,p.z)()],void 0,j.t,this.ee)),!0),(0,O.bP)("pagehide",(()=>(0,s.p)("winPagehide",[(0,p.z)()],void 0,j.t,this.ee))),this.importAggregator())}}var P=i(3081);class C extends h{static featureName=P.t9;constructor(e,t){let r=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(e,t,P.t9,r),this.importAggregator()}}var R,I=i(2210),k=i(1214),H=i(2177),L={};try{R=localStorage.getItem("__nr_flags").split(","),console&&"function"==typeof console.log&&(L.console=!0,-1!==R.indexOf("dev")&&(L.dev=!0),-1!==R.indexOf("nr_dev")&&(L.nrDev=!0))}catch(e){}function z(e){try{L.console&&z(e)}catch(e){}}L.nrDev&&H.ee.on("internal-error",(function(e){z(e.stack)})),L.dev&&H.ee.on("fn-err",(function(e,t,r){z(r.stack)})),L.dev&&(z("NR AGENT IN DEVELOPMENT MODE"),z("flags: "+(0,b.D)(L,(function(e,t){return e})).join(", ")));var M=i(6660);class B extends h{static featureName=M.t;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(r,n,M.t,i),this.skipNext=0;try{this.removeOnAbort=new AbortController}catch(e){}const o=this;o.ee.on("fn-start",(function(e,t,r){o.abortHandler&&(o.skipNext+=1)})),o.ee.on("fn-err",(function(t,r,n){o.abortHandler&&!n[M.A]&&((0,I.X)(n,M.A,(function(){return!0})),this.thrown=!0,(0,s.p)("err",[n,(0,p.z)()],void 0,e.D.jserrors,o.ee))})),o.ee.on("fn-end",(function(){o.abortHandler&&!this.thrown&&o.skipNext>0&&(o.skipNext-=1)})),o.ee.on("internal-error",(function(t){(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,o.ee)})),this.origOnerror=c._A.onerror,c._A.onerror=this.onerrorHandler.bind(this),c._A.addEventListener("unhandledrejection",(t=>{const r=function(e){let t="Unhandled Promise Rejection: ";if(e instanceof Error)try{return e.message=t+e.message,e}catch(t){return e}if(void 0===e)return new Error(t);try{return new Error(t+(0,D.P)(e))}catch(e){return new Error(t)}}(t.reason);(0,s.p)("err",[r,(0,p.z)(),!1,{unhandledPromiseRejection:1}],void 0,e.D.jserrors,this.ee)}),(0,O.m$)(!1,this.removeOnAbort?.signal)),(0,k.gy)(this.ee),(0,k.BV)(this.ee),(0,k.em)(this.ee),(0,t.OP)(r).xhrWrappable&&(0,k.Kf)(this.ee),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}onerrorHandler(t,r,n,i,o){"function"==typeof this.origOnerror&&this.origOnerror(...arguments);try{this.skipNext?this.skipNext-=1:(0,s.p)("err",[o||new F(t,r,n),(0,p.z)()],void 0,e.D.jserrors,this.ee)}catch(t){try{(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,this.ee)}catch(e){}}return!1}}function F(e,t,r){this.message=e||"Uncaught error with no additional information",this.sourceURL=t,this.line=r}let U=1;const q="nr@id";function G(e){const t=typeof e;return!e||"object"!==t&&"function"!==t?-1:e===c._A?0:(0,I.X)(e,q,(function(){return U++}))}function V(e){if("string"==typeof e&&e.length)return e.length;if("object"==typeof e){if("undefined"!=typeof ArrayBuffer&&e instanceof ArrayBuffer&&e.byteLength)return e.byteLength;if("undefined"!=typeof Blob&&e instanceof Blob&&e.size)return e.size;if(!("undefined"!=typeof FormData&&e instanceof FormData))try{return(0,D.P)(e).length}catch(e){return}}}var X=i(7243);class W{constructor(e){this.agentIdentifier=e,this.generateTracePayload=this.generateTracePayload.bind(this),this.shouldGenerateTrace=this.shouldGenerateTrace.bind(this)}generateTracePayload(e){if(!this.shouldGenerateTrace(e))return null;var r=(0,t.DL)(this.agentIdentifier);if(!r)return null;var n=(r.accountID||"").toString()||null,i=(r.agentID||"").toString()||null,o=(r.trustKey||"").toString()||null;if(!n||!i)return null;var a=(0,_.M)(),s=(0,_.Ht)(),c=Date.now(),u={spanId:a,traceId:s,timestamp:c};return(e.sameOrigin||this.isAllowedOrigin(e)&&this.useTraceContextHeadersForCors())&&(u.traceContextParentHeader=this.generateTraceContextParentHeader(a,s),u.traceContextStateHeader=this.generateTraceContextStateHeader(a,c,n,i,o)),(e.sameOrigin&&!this.excludeNewrelicHeader()||!e.sameOrigin&&this.isAllowedOrigin(e)&&this.useNewrelicHeaderForCors())&&(u.newrelicHeader=this.generateTraceHeader(a,s,c,n,i,o)),u}generateTraceContextParentHeader(e,t){return"00-"+t+"-"+e+"-01"}generateTraceContextStateHeader(e,t,r,n,i){return i+"@nr=0-1-"+r+"-"+n+"-"+e+"----"+t}generateTraceHeader(e,t,r,n,i,o){if(!("function"==typeof c._A?.btoa))return null;var a={v:[0,1],d:{ty:"Browser",ac:n,ap:i,id:e,tr:t,ti:r}};return o&&n!==o&&(a.d.tk=o),btoa((0,D.P)(a))}shouldGenerateTrace(e){return this.isDtEnabled()&&this.isAllowedOrigin(e)}isAllowedOrigin(e){var r=!1,n={};if((0,t.Mt)(this.agentIdentifier,"distributed_tracing")&&(n=(0,t.P_)(this.agentIdentifier).distributed_tracing),e.sameOrigin)r=!0;else if(n.allowed_origins instanceof Array)for(var i=0;i 2&&void 0!==arguments[2])||arguments[2];super(r,n,Z.t,i),(0,t.OP)(r).xhrWrappable&&(this.dt=new W(r),this.handler=(e,t,r,n)=>(0,s.p)(e,t,r,n,this.ee),(0,k.u5)(this.ee),(0,k.Kf)(this.ee),function(r,n,i,o){function a(e){var t=this;t.totalCbs=0,t.called=0,t.cbTime=0,t.end=E,t.ended=!1,t.xhrGuids={},t.lastSize=null,t.loadCaptureCalled=!1,t.params=this.params||{},t.metrics=this.metrics||{},e.addEventListener("load",(function(r){_(t,e)}),(0,O.m$)(!1)),c.IF||e.addEventListener("progress",(function(e){t.lastSize=e.loaded}),(0,O.m$)(!1))}function s(e){this.params={method:e[0]},T(this,e[1]),this.metrics={}}function u(e,n){var i=(0,t.DL)(r);i.xpid&&this.sameOrigin&&n.setRequestHeader("X-NewRelic-ID",i.xpid);var a=o.generateTracePayload(this.parsedOrigin);if(a){var s=!1;a.newrelicHeader&&(n.setRequestHeader("newrelic",a.newrelicHeader),s=!0),a.traceContextParentHeader&&(n.setRequestHeader("traceparent",a.traceContextParentHeader),a.traceContextStateHeader&&n.setRequestHeader("tracestate",a.traceContextStateHeader),s=!0),s&&(this.dt=a)}}function d(e,t){var r=this.metrics,i=e[0],o=this;if(r&&i){var a=V(i);a&&(r.txSize=a)}this.startTime=(0,p.z)(),this.listener=function(e){try{"abort"!==e.type||o.loadCaptureCalled||(o.params.aborted=!0),("load"!==e.type||o.called===o.totalCbs&&(o.onloadCalled||"function"!=typeof t.onload)&&"function"==typeof o.end)&&o.end(t)}catch(e){try{n.emit("internal-error",[e])}catch(e){}}};for(var s=0;s 1?e[1]=i:e.push(i)}else e[0]&&e[0].headers&&s(e[0].headers,n)&&(this.dt=n);function s(e,t){var r=!1;return t.newrelicHeader&&(e.set("newrelic",t.newrelicHeader),r=!0),t.traceContextParentHeader&&(e.set("traceparent",t.traceContextParentHeader),t.traceContextStateHeader&&e.set("tracestate",t.traceContextStateHeader),r=!0),r}}function x(e,t){this.params={},this.metrics={},this.startTime=(0,p.z)(),this.dt=t,e.length>=1&&(this.target=e[0]),e.length>=2&&(this.opts=e[1]);var r,n=this.opts||{},i=this.target;"string"==typeof i?r=i:"object"==typeof i&&i instanceof Y?r=i.url:c._A?.URL&&"object"==typeof i&&i instanceof URL&&(r=i.href),T(this,r);var o=(""+(i&&i instanceof Y&&i.method||n.method||"GET")).toUpperCase();this.params.method=o,this.txSize=V(n.body)||0}function A(t,r){var n;this.endTime=(0,p.z)(),this.params||(this.params={}),this.params.status=r?r.status:0,"string"==typeof this.rxSize&&this.rxSize.length>0&&(n=+this.rxSize);var o={txSize:this.txSize,rxSize:n,duration:(0,p.z)()-this.startTime};i("xhr",[this.params,o,this.startTime,this.endTime,"fetch"],this,e.D.ajax)}function E(t){var r=this.params,n=this.metrics;if(!this.ended){this.ended=!0;for(var o=0;o 2&&void 0!==arguments[2])||arguments[2];super(e,t,we.t,r),this.importAggregator()}}new class{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:(0,_.ky)(16);c._A?(this.agentIdentifier=t,this.sharedAggregator=new y({agentIdentifier:this.agentIdentifier}),this.features={},this.desiredFeatures=new Set(e.features||[]),this.desiredFeatures.add(m),Object.assign(this,(0,a.j)(this.agentIdentifier,e,e.loaderType||"agent")),this.start()):(0,l.Z)("Failed to initial the agent. Could not determine the runtime environment.")}get config(){return{info:(0,t.C5)(this.agentIdentifier),init:(0,t.P_)(this.agentIdentifier),loader_config:(0,t.DL)(this.agentIdentifier),runtime:(0,t.OP)(this.agentIdentifier)}}start(){const t="features";try{const r=n(this.agentIdentifier),i=[...this.desiredFeatures];i.sort(((t,r)=>e.p[t.featureName]-e.p[r.featureName])),i.forEach((t=>{if(r[t.featureName]||t.featureName===e.D.pageViewEvent){const n=function(t){switch(t){case e.D.ajax:return[e.D.jserrors];case e.D.sessionTrace:return[e.D.ajax,e.D.pageViewEvent];case e.D.sessionReplay:return[e.D.sessionTrace];case e.D.pageViewTiming:return[e.D.pageViewEvent];default:return[]}}(t.featureName);n.every((e=>r[e]))||(0,l.Z)("".concat(t.featureName," is enabled but one or more dependent features has been disabled (").concat((0,D.P)(n),"). This may cause unintended consequences or missing data...")),this.features[t.featureName]=new t(this.agentIdentifier,this.sharedAggregator)}})),(0,T.Qy)(this.agentIdentifier,this.features,t)}catch(e){(0,l.Z)("Failed to initialize all enabled instrument classes (agent aborted) -",e);for(const e in this.features)this.features[e].abortHandler?.();const r=(0,T.fP)();return delete r.initializedAgents[this.agentIdentifier]?.api,delete r.initializedAgents[this.agentIdentifier]?.[t],delete this.sharedAggregator,r.ee?.abort(),delete r.ee?.get(this.agentIdentifier),!1}}}({features:[J,m,S,class extends h{static featureName=oe;constructor(t,r){if(super(t,r,oe,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;const n=this.ee;let i;(0,k.QU)(n),this.eventsEE=(0,k.em)(n),this.eventsEE.on(se,(function(e,t){this.bstStart=(0,p.z)()})),this.eventsEE.on(ae,(function(t,r){(0,s.p)("bst",[t[0],r,this.bstStart,(0,p.z)()],void 0,e.D.sessionTrace,n)})),n.on(ce+ne,(function(e){this.time=(0,p.z)(),this.startPath=location.pathname+location.hash})),n.on(ce+ie,(function(t){(0,s.p)("bstHist",[location.pathname+location.hash,this.startPath,this.time],void 0,e.D.sessionTrace,n)}));try{i=new PerformanceObserver((t=>{const r=t.getEntries();(0,s.p)(te,[r],void 0,e.D.sessionTrace,n)})),i.observe({type:re,buffered:!0})}catch(e){}this.importAggregator({resourceObserver:i})}},C,xe,B,class extends h{static featureName=de;constructor(e,r){if(super(e,r,de,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;if(!(0,t.OP)(e).xhrWrappable)return;try{this.removeOnAbort=new AbortController}catch(e){}let n,i=0;const o=this.ee.get("tracer"),a=(0,k._L)(this.ee),s=(0,k.Lg)(this.ee),u=(0,k.BV)(this.ee),d=(0,k.Kf)(this.ee),f=this.ee.get("events"),l=(0,k.u5)(this.ee),h=(0,k.QU)(this.ee),g=(0,k.Gm)(this.ee);function m(e,t){h.emit("newURL",[""+window.location,t])}function v(){i++,n=window.location.hash,this[ve]=(0,p.z)()}function b(){i--,window.location.hash!==n&&m(0,!0);var e=(0,p.z)();this[pe]=~~this[pe]+e-this[ve],this[ye]=e}function y(e,t){e.on(t,(function(){this[t]=(0,p.z)()}))}this.ee.on(ve,v),s.on(be,v),a.on(be,v),this.ee.on(ye,b),s.on(ge,b),a.on(ge,b),this.ee.buffer([ve,ye,"xhr-resolved"],this.featureName),f.buffer([ve],this.featureName),u.buffer(["setTimeout"+le,"clearTimeout"+fe,ve],this.featureName),d.buffer([ve,"new-xhr","send-xhr"+fe],this.featureName),l.buffer([me+fe,me+"-done",me+he+fe,me+he+le],this.featureName),h.buffer(["newURL"],this.featureName),g.buffer([ve],this.featureName),s.buffer(["propagate",be,ge,"executor-err","resolve"+fe],this.featureName),o.buffer([ve,"no-"+ve],this.featureName),a.buffer(["new-jsonp","cb-start","jsonp-error","jsonp-end"],this.featureName),y(l,me+fe),y(l,me+"-done"),y(a,"new-jsonp"),y(a,"jsonp-end"),y(a,"cb-start"),h.on("pushState-end",m),h.on("replaceState-end",m),window.addEventListener("hashchange",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("load",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("popstate",(function(){m(0,i>1)}),(0,O.m$)(!0,this.removeOnAbort?.signal)),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}}],loaderType:"spa"})})(),window.NRBA=o})(); window.jQuery || document.write(' ') CKEDITOR_BASEPATH='https://gatesopenresearch.org/js/vendor/ckeditor/' window.reactTheme = 'gates'; window.MathJax = { CommonHTML: { linebreaks: { automatic: true } }, 'HTML-CSS': { linebreaks: { automatic: true } }, SVG: { linebreaks: { automatic: true } }, AuthorInit: function() { MathJax.Hub.Register.MessageHook('End Process', function () { let timeout = false; // holder for timeout id const delay = 250; // delay after event is "complete" to run callback const reflowMath = function() { const dispFormulas = document.querySelectorAll('.disp-formula.panel'); if (!dispFormulas) { return; } for (const dispFormula of dispFormulas) { const child = dispFormula.querySelector('.MathJax_Preview').nextSibling.firstChild; const isMultiline = MathJax.Hub.getAllJax(dispFormula)[0].root.isMultiline; if (dispFormula.offsetWidth < child.offsetWidth || isMultiline) { MathJax.Hub.Queue(['Rerender', MathJax.Hub, dispFormula]); } } }; window.addEventListener('resize', function() { clearTimeout(timeout); // clear the timeout timeout = setTimeout(reflowMath, delay); // start timing for event "completion" }); }); }, }; if (window.location.hash == '#_=_'){ window.location = window.location.href.split('#')[0] } !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function() {n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)} ;if(!f._fbq)f._fbq=n; n.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window, document,'script','https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '1641728616063202'); fbq('track', "PixelInitialized", {}); Skip to content Gates Open Research file_upload Submit via VeriXiv search clear search menu close clear Search Browse Gateways & Collections How to Publish Submit via VeriXiv My Submissions Article Guidelines Article Guidelines (New Versions) Open Data, Software and Code Guidelines Open Data and Accessible Source Materials Guidelines (HSS) Prepublication Checks Production Process Posters and Slides Guidelines Document Guidelines Publication Charges Finding Article Reviewers About How it Works For Reviewers Our Advisors Policies Glossary FAQs For Developers Contact Blog My Account Submissions Content and Tracking Alerts My Details Sign In Submit via VeriXiv { "@context": "https://schema.org", "@type": "ScholarlyArticle", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://gatesopenresearch.org/articles/8-93" }, "headline": "Developing and evaluating human-centered design solutions for enhancing maternal health service utilization...", "datePublished": "2024-08-27T14:37:42", "dateModified": "2025-02-21T14:10:06", "author": [ { "@type": "Person", "name": "Bee-Ah Kang" }, { "@type": "Person", "name": "Habtamu Tamene" }, { "@type": "Person", "name": "Yihunie Lakew" }, { "@type": "Person", "name": "Daryl Stephens" }, { "@type": "Person", "name": "Rajiv Rimal" } ], "publisher": { "@type": "Organization", "name": "Gates Open Research", "logo": { "@type": "ImageObject", "url": "https://gatesopenresearch.org/img/AMP/Gates_image.png", "height": 600, "width": 47 } }, "image": { "@type": "ImageObject", "url": "https://gatesopenresearch.org/img/AMP/Gates_image.png", "height": 1200, "width": 94 }, "description": " Background Disproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia. Methods The study has two distinct phases. In Phase 1, HCD solutions were developed through co-design workshops with vulnerable pregnant women and key stakeholders. Final solutions included home visit education, audio programs promoting couple discussion, and print materials, implemented in collaboration with community health workers and health officers. A community-based, quasi-experimental, mixed-method study design was used to assess differences between intervention and control arms. A panel sample was enrolled after screening for pregnancy and vulnerability level and surveyed at baseline and midline in Phase 1. Phase 2 adopts an identical design approach with a focus on refining Phase 1 solutions. Newly recruited pregnant women will receive refined solutions for six months, which will be evaluated using post-only end-line surveys and in-depth interviews. Conclusions and Implications Our sequential approach to evaluating initial solutions, which in turn will inform the enhancement of solutions, will provide practical insights into how solutions are accepted among vulnerable women and how they can be better integrated into women’s lives and health systems. This will inform equity-focused practice and policies targeting populations experiencing greater barriers to accessing care and provide insights into system strengthening in rural areas. Our findings will be disseminated to the Ethiopian Ministry of Health and its partners to inform large-scale implementation at the national level. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://gatesopenresearch.org/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://gatesopenresearch.org/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://gatesopenresearch.org/articles/8-93", "name": "Developing and evaluating human-centered design solutions for enhancing..." } } ] } Home Browse Developing and evaluating human-centered design solutions for enhancing... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Kang BA, Tamene H, Lakew Y et al. Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.12688/gatesopenres.16277.3 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Study Protocol Update Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] Previous Title 'Enhancing maternal health service utilization among highly vulnerable pregnant women through a human-centered design process: Study protocol for a quasi-experimental study in Oromia, Ethiopia' Bee-Ah Kang https://orcid.org/0000-0002-1124-2481 1 , Habtamu Tamene 2 , Yihunie Lakew 2 , Daryl Stephens https://orcid.org/0009-0001-0167-2920 1 , Rajiv Rimal https://orcid.org/0000-0003-1413-9305 1 Bee-Ah Kang https://orcid.org/0000-0002-1124-2481 1 , Habtamu Tamene 2 , [...] Yihunie Lakew 2 , Daryl Stephens https://orcid.org/0009-0001-0167-2920 1 , Rajiv Rimal https://orcid.org/0000-0003-1413-9305 1 PUBLISHED 21 Feb 2025 Author details Author details 1 Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21215, USA 2 Center for Communication Programs, Johns Hopkins Bloomberg School of Public Health, Africa Avenue (Bole Road), Dembel City Center 10th Floor, P.O Box: 26171, Addis Ababa, 1000, Ethiopia Bee-Ah Kang Roles: Conceptualization, Methodology, Project Administration, Writing – Original Draft Preparation, Writing – Review & Editing Habtamu Tamene Roles: Conceptualization, Investigation, Methodology, Project Administration, Supervision, Validation, Writing – Original Draft Preparation Yihunie Lakew Roles: Investigation, Methodology, Supervision, Validation, Writing – Original Draft Preparation Daryl Stephens Roles: Writing – Review & Editing Rajiv Rimal Roles: Conceptualization, Funding Acquisition, Methodology, Project Administration, Supervision, Writing – Original Draft Preparation OPEN PEER REVIEW DETAILS REVIEWER STATUS Abstract Background Disproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia. Methods The study has two distinct phases. In Phase 1, HCD solutions were developed through co-design workshops with vulnerable pregnant women and key stakeholders. Final solutions included home visit education, audio programs promoting couple discussion, and print materials, implemented in collaboration with community health workers and health officers. A community-based, quasi-experimental, mixed-method study design was used to assess differences between intervention and control arms. A panel sample was enrolled after screening for pregnancy and vulnerability level and surveyed at baseline and midline in Phase 1. Phase 2 adopts an identical design approach with a focus on refining Phase 1 solutions. Newly recruited pregnant women will receive refined solutions for six months, which will be evaluated using post-only end-line surveys and in-depth interviews. Conclusions and Implications Our sequential approach to evaluating initial solutions, which in turn will inform the enhancement of solutions, will provide practical insights into how solutions are accepted among vulnerable women and how they can be better integrated into women’s lives and health systems. This will inform equity-focused practice and policies targeting populations experiencing greater barriers to accessing care and provide insights into system strengthening in rural areas. Our findings will be disseminated to the Ethiopian Ministry of Health and its partners to inform large-scale implementation at the national level. READ ALL READ LESS Keywords maternal and child health, vulnerability, human-centered design, research protocol Corresponding Author(s) Bee-Ah Kang ( [email protected] ) Close Corresponding author: Bee-Ah Kang Competing interests: No competing interests were disclosed. Grant information: This work was supported by a grant to Johns Hopkins University (Rajiv N. Rimal, Principal Investigator) from The Gates Foundation grant number INV-035431. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2025 Kang BA et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Kang BA, Tamene H, Lakew Y et al. Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.12688/gatesopenres.16277.3 ) First published: 27 Aug 2024, 8 :93 ( https://doi.org/10.12688/gatesopenres.16277.1 ) Latest published: 21 Feb 2025, 8 :93 ( https://doi.org/10.12688/gatesopenres.16277.3 ) Update Updates from Version 2 Thank you to the reviewers for their comments. We have made proofreading errors across the document, including correcting the duplicative abstract and any grammatical errors. We provided additional detail on how the study settings (woredas) were selected as intervention and control groups. We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. Lastly, we added information about data availability in the future dissemination of study findings. Thank you to the reviewers for their comments. We have made proofreading errors across the document, including correcting the duplicative abstract and any grammatical errors. We provided additional detail on how the study settings (woredas) were selected as intervention and control groups. We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. Lastly, we added information about data availability in the future dissemination of study findings. See the authors' detailed response to the review by Syeda Tabeena Ali See the authors' detailed response to the review by Kahabi Isangula See the authors' detailed response to the review by Brooke A Levandowski READ REVIEWER RESPONSES Introduction Reducing maternal mortality ratio has been one of the major priorities on the global health agenda. With the launch of the Sustainable Development Goals in 2015, the World Health Organization (WHO) and partners reached a consensus on endorsing Target 3.1 that aims to reduce the global MMR to less than 70 per 100,000 livebirths by 2030. The target has shown a steady progress with its 34.3% reduction between 2000 and 2020 1 . However, such aggregated outcomes in health indicators often obscure disparities across countries and within sub-regions. Ethiopia has shown steady improvements in many maternal and child health indicators over the past two decades. In 2000, the maternal mortality ratio was 871 deaths per 100,000 livebirths, which declined to 412 in 2016 2 . Between 2005 and 2019, under-5 mortality also decreased by 52% 3 . Despite this substantial progress, Ethiopia faces persistent health challenges. The maternal mortality ratio in-country accounts for 3.6% of global maternal mortalities 4 . Twenty-five percent of female deaths from the 2016 data were found to be from pregnancy-related causes 2 , and the neonatal mortality rate also increased by four points per 1,000 livebirths between 2016 and 2019 3 . To achieve faster and more equitable improvements in maternal and child health outcomes, the government of Ethiopia has implemented a three-tiered health system with an intensive Health Extension Program, which takes a community-based approach to improving health knowledge, health-related skills, and access to primary healthcare 5 . In addition, the Health System Transformation Plan (HSTP-II) is being implemented from 2020 to 2025 with an overall objective to improve the population’s health status by accelerating progress towards universal health coverage, protecting populations during health emergencies, reducing home delivery across woredas (districts), and improving health system responsiveness to the needs of target populations and communities 6 . The HSTP-II has a target to reduce the maternal mortality ratio to 279 per 100,000 live births and under-5 and neonatal mortalities to 44 and 21 per 1,000 live births, respectively 6 . Under these national goals, providing pregnant women with essential maternal health services, including institutional delivery (i.e., childbirth in health facilities attended by skilled birth attendants), antenatal care (ANC), and iron and folic acid supplementation, has been a key strategy for optimizing maternal and child health outcomes in Ethiopia. These maternal health services can significantly reduce the risk of maternal, perinatal and neonatal mortality in low- and middle-income countries and alleviate health disparities worldwide 7 – 9 . Nevertheless, there remains an urgent need to address disproportionate uptake of and access to maternal health services in Ethiopia. Taking institutional delivery coverage as an example, women’s use of health facilities for childbirth greatly varies by region and sociodemographic characteristics. With the national average being approximately 48%, the percentage of institutional delivery use ranges from 23.3% in Somali Region to 94.8% in Addis Ababa, the capital city 3 . Also, 79% of women in the lowest wealth quintile delivered a baby at home; the corresponding figure for women in the highest wealth quintile was 14%. Parity is also associated with home delivery: women having six or more births are more likely to deliver at home, compared to those delivering for the first time. Prior evidence suggests that women’s use of maternal health services is shaped by multiple factors at the socio-ecological continuum. Barriers to maternal health service uptake among pregnant women reside at multiple levels, including at the individual level (having poor knowledge of obstetric complications and danger signs, low risk perceptions, high parity, and no birth preparedness plans) 10 – 12 , social level (social and gender norms, support from family, decision-making power) 11 , 13 , 14 , cultural level (respect for elders, perception about pregnancy-related matters as women’s privacy, relationship with traditional birth attendants in the community) 3 , 15 – 17 , structural level (distance to health facilities, transportation and road infrastructure, costs for traveling, delivery cost) 11 , 15 , 18 , and those that are service-related (lack of services that respect women’s privacy and preferences, disrespectful treatment by health workers, and staff and medical supply shortages) 10 , 15 , 19 , 20 . Understanding vulnerabilities of key target populations has important implications for developing and implementing tailored programs and policies 21 . Nevertheless, less attention has been paid to how vulnerability is defined, conceptualized and operationalized in the realm of maternal health service coverage 22 . Indeed, despite remarkable improvements in disease-focused service coverage, global health programs have been highlighted as neglecting inequity by not reaching the most disadvantaged population, straining weak local health systems, and distorting local health priorities and agendas 23 , 24 . Our project is based on the assumption that accurate and comprehensive assessment of vulnerability in maternal service uptake can help identify vulnerable pregnant women with the lowest likelihood of accessing necessary health services, which will subsequently help generate evidence and provide guidance on effective policies and interventions. Therefore, identifying the most vulnerable pregnant women and engaging them in program development would enhance the applicability, viability, and effectiveness of an intervention. Adopting user-oriented strategies, our study attempts to render vulnerable pregnant women an opportunity to take ownership of their problems and participate in generating solutions with the study team to cater to their unique needs, challenges, and hopes. Given the complex interplay of factors which prevent or hinder access to maternal health services, and with special attention to the social and economic factors which underpin vulnerability in this context, we chose to adopt a human-centered design (HCD) approach in the development of the solutions. Prior interventions effectively developed HCD-based health solutions, taking account of multiple factors, including decision-making power, gender roles, and social norms 25 , 26 . HCD leverages creative thinking through an iterative process and has proven to be a meaningful tool in program and solution design 27 , 28 . HCD can offer a novel approach to solution design through putting key stakeholders, in this case pregnant women and the network of providers and volunteers who offer care during pregnancy, at the center of the process to find solutions that are most relevant to their daily lives and circumstances. Further, the iterative nature of HCD allows for the refinement of solutions along multiple axes, including feasibility, sustainability, and ability to be enmeshed in pre-existing health systems. Furthermore, we argue for the need for conducting implementation research, given that determining true program effectiveness necessitates evidence on how an intervention fits in “real world” settings beyond a controlled study environment. Implementation research is distinguished from monitoring or process evaluation efforts due to its focused goals to explore 1) a program’s likelihood of being adopted and scaled up in real-world settings, 2) contextual factors that may facilitate or hinder implementation, 3) implementation strategies (rather than intervention strategies), 4) and the engagement of stakeholders to achieve successful implementation 25 . Well-designed implementation research provides an insight into whether an intervention would likely be integrated into its target environment, and more broadly, into health systems beyond study duration and scope. Implementation research also generates evidence that helps policy makers and implementers foresee challenges, contributing to saving costs and resources for future programs. Although there is no scientific consensus on what elements and principles are necessary for conducting implementation research, the WHO guide 26 encourages researchers to outline implementation research questions, use a framework that describes implementation research outcomes, and select a study design and methods that are most pertinent to understand how implementation occurs in a given context. Study objectives The objective of this study is to develop and evaluate the effectiveness of an HCD intervention package through a two-phased sequential study design. Our objective tailored to intervention development is to co-design solutions with vulnerable pregnant women and key stakeholders to improve maternal health service (institutional delivery and ANC) uptake in rural Oromia region in Ethiopia based on 5-step design processes. In Phase 1, HCD solutions (home visit education, audio programs, and print materials) were finalized in January 2024 and implemented until May 2024. Our objective in Phase 2 is to refine the solutions to optimize scalability and ownership in the health system, in turn to ensure service uptake among pregnant women. Our evaluation objectives across the two phases are: 1. To assess whether changes in institutional delivery and ANC visits among women in the intervention arm are significantly greater than corresponding changes in the control arm. 2. To explore how social and behavioral factors, including social norms, gender norms, women’s empowerment, and spousal dynamics, are associated with maternal health service uptake. 3. To understand the extent to which the intervention meets key implementation research outcomes, including fidelity, acceptability, feasibility, scalability, and sustainability, among pregnant women and health workers in the intervention arm. Methods Study setting Administratively, Ethiopia is divided into 12 regions and two administrative cities, with regions further subdivided into zones, woredas, and kebeles (the lowest administrative unit), as described in Figure 1 . Enumeration areas are created by the Ethiopian Statistical Services for the purposes of population and housing census-taking to serve as clusters that typically contain about 750 to 1000 people, with each kebele possibly containing multiple enumeration areas. Figure 1. Administration and health system structure in Ethiopia, adapted from the Federal Ministry of Health (FMOH). Ethiopia's health system consists of three tiers: the primary tier includes one primary hospital, five health centers, and 25 health posts serving about 100,000 people; the secondary tier comprises general hospitals serving 1 to 1.5 million people; and the tertiary tier includes specialized hospitals serving 3.5 to 5 million people. Our study sites are in Oromia, the most populous region in Ethiopia. Within this region, Siraro and Shalla woredas were selected as intervention arms, and Gera and Shebe woredas as control arms. The study sites were not randomly selected due to the on-going security issues in Ethiopia. The distance of woredas from major regional towns, maternal and child health service utilization (obtained from the national Health Management Information System data), and major livelihoods of the target study population were taken into consideration in the selection of intervention and control woredas. Two woredas (one nearby and one remote from towns) with similar health service uptake and predominantly agricultural livelihoods were assigned as the intervention group. The same strategies were used to select the control woredas. Study design A community-based quasi-experimental study design was chosen to assess differences in key variables between the intervention and control arms. We chose a quasi-experimental design for several reasons. We lacked information about clear randomization unit given the characteristics of individuals or clusters (woredas), and it was likely that many woredas in Oromia region are not homogenous towards our outcomes of interest. Another reason was due to resource constraints, as we did not have a sufficient number of woredas in our study to conduct a pure randomized trial design. The study included two waves of data collection from a panel of recruited pregnant women at Phase 1. We attempt to leverage Phase 1 findings to inform the development of study tools and identify factors affecting implementation to provide insights into the improvement our intervention at Phase 2. This study is registered at ClinicalTrial.gov (NCT05907720). In Phase 1, we conducted the baseline survey with 470 pregnant women enrolled in intervention and control arms in January 2024. After the baseline survey, we implemented a set of HCD prototype solutions in the intervention arm only, keeping the usual standard of care intact in the control arm. After the 4-month period of HCD solution implementation, we conducted the midline survey among the same women in the panel from both the intervention and control arms. In the midline survey, we interviewed 453 pregnant women, with 17 pregnant women lost to follow-up. The midline assessment also included in-depth interviews with purposively selected pregnant women from the panel and health workers who engaged in implementation. In Phase 2, we will conduct a post-only study with a new sample of vulnerable pregnant women who will be recruited after the implementation of refined HCD solutions. Since the focus is on enhancing implementation feasibility, scalability, and health system ownership of Phase 1 solutions, which have already shown significant improvements in institutional delivery, we believe a post-only assessment is sufficient to observe consistent effectiveness. We will compare outcomes between the intervention and control arms at end-line, and the end-line findings will also be compared with the baseline to identify whether refined solutions bring greater impact than our initial solutions did in Phase 1. Thus, our overall study design includes three waves of data points: baseline and midline assessments in Phase 1 and end-line assessment in Phase 2. The study design is further described in Figure 2 . Figure 2. Quasi-experimental evaluation study among vulnerable pregnant women. Sample Our primary target participants are vulnerable pregnant women aged 15–49. For consent administration, we segmented adult pregnant women aged 19 and above, pregnant adolescent girls aged 15–18, and service providers. Service providers, such as midwives, health extension workers and health development armies who had engaged in the study were recruited for qualitative assessment at midline (Phase 1) and will be enrolled in end-line (Phase 2). Table 1 below summarizes inclusion and exclusion criteria for each sample population. Table 1. Summary of inclusion and exclusion criteria of study sample. Respondent type Inclusion criteria Exclusion criteria Pregnant women Women in their 5th or higher months of pregnancy; meet the high vulnerability criteria. Pregnant women who are less than 5 months pregnant; meet the low vulnerability criteria. Women who delivered recently (Midline and end-line only) Recently delivered women included in the panel for baseline assessments during Phase 1; those who have received HCD solutions during Phase 2; meet the high vulnerability criteria. Recently delivered women who were not included in the panel; did not have exposure to HCD solutions; meet the low vulnerability criteria. Heath Extension Workers Who work in health promotion and essential maternal health services in heath posts. Who have worked in this position less than 6 months in the intervention arm. Health Development Armies Community volunteers who work on early screening and health promotion activities for pregnant women. Who have worked in this position less than 6 months in the intervention arm. Head of woreda health office Head/Vice Head of the woreda Health Office who help facilitate implementation of the project Who have worked in this position less than 6 months in the intervention arm. Sample size calculation For Phase 1, we considered institutional delivery (a major outcome variable) as a basis for the sample size calculation. To estimate sample size, we took account of our longitudinal design that measures the same subjects before and after the intervention and assumed an intervention effect of 9% in improving institutional delivery beyond the current 48% 3 . Assuming a p-value of 0.05, interclass correlation coefficient (ICC) of 0.009, a power of 80%, a total of 240 pregnant women from the intervention arm and another 240 pregnant women from the control arm are needed, for a total sample size of 480 pregnant women in each study phase. The assumptions of sample size also took into account feasibility and sample characteristics. The number of enumeration areas in the first phase was 80 per study arm, and approximately 5 women were expected to be eligible in each enumeration area. Based on the cross-sectional study design in Phase 2, we assumed 9% detectable difference between the study arms with an 80% power, which led to a sample of 531 for each study arm, taking account of 10% non-response rate. Approximately 106 enumeration areas will be reached from given the number of eligible women in each area. Both intervention and control arms will have an equal sample size in each phase, having 1:1 ratio of women between the intervention and control arms. As such, the total number of women to recruit across study arms in Phase 1 will be 1062. For qualitative assessments, we use the same approach in Phase 1 and 2. An equal number of health workers (n= 32) are interviewed at mid-line (post-intervention of Phase 1) and end-line (post-intervention of Phase 2). The interviews with health workers explore the feasibility, acceptability, and scalability of the prototype solutions along with perceived program effects. The interviewees selected for Phase 2 may be the same service providers recruited from Phase 1 depending on their availability and engagement in the program. We have chosen 32 as the target sample size based on our best estimate about achieving data saturation. In each phase, we will also interview 20 pregnant women from the panel who recently delivered and were exposed to our HCD solutions. The qualitative interviews will be conducted only in the intervention sites. Maternal Vulnerability Segmentation Tool A vulnerability screening tool was developed to identify pregnant women with heightened vulnerabilities. We performed logistic regression analyses using the 2019 Ethiopian Demographic and Health Survey to identify factors associated with ANC attendance and institutional delivery. Next, a multivariate cluster analysis (K-medoids) was conducted to evaluate the tool’s ability to classify pregnant women as having low, moderate, or high vulnerability. The initial validation of the tool was conducted through expert reviews and group discussions with healthcare workers. Feedback from these stakeholders helped evaluate whether the screening items were comprehensive and relevant to women living in the study areas. The tool was then pretested with the target group of pregnant women to ensure its clarity and applicability. This process allowed us to refine the questions and incorporate illustrations to enhance understanding among rural communities. The final screening tool included 20 items assessing individual, social, structural, and service-level determinants. Women who scored less than 12 were classified as having low vulnerability, those scoring 12–15 as moderate, and those scoring greater than 16 as highly vulnerable. Thus, an aggregate score of 12 or more indicated moderate to high vulnerability. These cutoffs were determined as ANC and health facility delivery were lower among pregnant women with moderate and high vulnerability scores compared to those with low vulnerability scores. Recruitment After obtaining a list of all interested women from health extension workers and health development armies, data collectors visit the women in person to screen their pregnancy status and vulnerability level to assess their eligibility. With the woman’s verbal consent, the data collector administers the pregnancy screening tool to identify her pregnancy status. Only women at 5+ months of pregnancy and aged 15–49 are considered eligible. If eligible, she is screened for her vulnerability level, assessed through the vulnerability screening tool. Those considered to be moderately to highly vulnerable are eligible and entered into the sampling frame. Women who score at least 9 out of the maximum 20 vulnerability screening questions will be identified as a study participant. All responses to the screening questions will be entered into the data collectors’ mobile phone application that automatically determines pregnant women’s eligibility during the visit. All eligible women are entered into our sampling frame. After listing eligible pregnant women, we aim to recruit approximately three women per enumeration area to achieve our target sample size. If an enumeration area has five or fewer eligible women, they are all contacted for recruitment. If there are more pregnant women than the minimum required number of pregnant women, we randomly select the required number. If a woman is not interested or available for participation, we contact the next randomly selected woman for recruitment. Recruitment continues until our sample size is reached, expanding to other enumeration areas if necessary. Recruitment in Phase 1 was completed in this way, and Phase 2 recruitment will follow this procedure. For the qualitative assessment, recently delivered women who receive our intervention and health workers in the intervention sites are purposively recruited. Purposive selection of the sample allows us to understand the experiences of engaging in our implementation process among diverse individuals. For women, the selection criteria include: 1) residing in Siraro and Shalla woredas, 2) being exposed to the HCD solutions during their last pregnancy, and 3) having delivered after receiving the solutions. To further obtain diverse and in-depth experiences among our sample, we prioritize recruiting women who are in earlier gestational ages (5 th month or earlier) at the time of recruitment (before intervention), as those in late pregnancy terms may not be fully exposed to our solutions. Also, both women who delivered in health facilities and at home are contacted for recruitment to capture a broad range of experiences. We also attempt to ensure diversity in kebeles and primary health care units in the selected sample to ascertain potential differences. The criteria for recruiting health workers include: 1) those working in Siraro and Shalla woredas, 2) serving as a health extension worker, health development army, primary health care unit (PHCU) staff in the woreda, or health officials such as woreda health leaders, and 3) being engaged in the implementation of the HCD solutions. Trained data collectors administer consent and interview with eligible pregnant women at their homes and with health workers at their workplaces (e.g., local health center). We will use the same sampling approach for both midline and end-line qualitative assessments. Data collection and measurement Survey interview . All participants from Phases 1 and 2 undergo a one-on-one survey interview to assess sociodemographic information, psychological factors, social and structural factors, and maternal health service utilization. A structured interview is administered by a local data collector in the local language. The survey captures the self-reported place of the most recent childbirth along with uptake and frequency of ANC visits during the most recent pregnancy. Secondary outcomes include knowledge, attitudes, and perceptions about maternal health service utilization, social norms, gender norms, spousal dynamics, decision-making, and community and structural factors. Midline (post-intervention in Phase 1) and end-line (post-intervention in Phase 2) assessments additionally include questions measuring program exposure. Qualitative interview . Purposively selected women from the study participants (n=20) along with health workers (n=32) engaged in the program participate in an in-depth interview. Given the 4-month duration of program implementation among pregnant women in their 5 th or higher months of pregnancy, interviews are administered to recently delivered women inquiring about their perceived effects of the intervention on the place of childbirth and ANC uptake during pregnancy. Additionally, the interview guides for women and health workers contain questions around key implementation research outcomes, including acceptability and feasibility, to identify any similarities and differences arising across different types of interview participants. Intervention HCD workshop procedure . In Phase 1, prior to the HCD process, an extensive desk review and secondary data analysis were conducted to identify key drivers of vulnerability affecting uptakes of maternal and child health services (ANC and institutional delivery). Vulnerability driving factors, such as women's illiteracy, distance from health facilities, high parity, decision-making power, exposure to media, and lack of household assets were identified as major barriers to maternal health service use. Based on these factors, a vulnerability screening tool was developed to identify the target population of rural vulnerable pregnant women. Couples who met three or more of the vulnerability criteria among those driving factors (e.g., living over 30 minutes from a health facility, being illiterate, having poor housing conditions, and lacking a mobile phone) were identified. From a desk review and evidence synthesis of secondary data, two initial design challenges focusing on ANC and institutional delivery were prioritized: 1) reimagining how to support pregnant women to attend ANC, and 2) reimagining how to support pregnant women to deliver in a health center. Then, an iterative five-phase design thinking process was implemented, including empathy, define, ideate, prototype, and testing that provides a flexible framework for co-creating solutions with community members and heath care stakeholders. The process involved a series of co-creation workshops in two rounds with diverse stakeholders. The initial round of workshops included pregnant women and husbands, organized as separate workshops to ensure open discussion. A total of eight teams (four teams of pregnant women and four teams of husbands) were organized in the two implementation woredas. A design team constituted up to six participants per concurrent session. Four teams focused on the design challenge on ANC, while the remaining focused on institutional delivery. These teams engaged in the empathy, design, and ideate phases of the HCD process. Subsequently, another set of workshops was conducted with healthcare providers (health development army, health extension workers, midwives/nurses, PHCU directors and woreda maternal and child health coordinators) organized into eight different teams: four on the first design challenge and four on the second. The second round of workshops was led by trained design workshop facilitators, building on the first-round outputs to ensure key insights from the teams of pregnant women and husbands were not lost. The mid-fidelity prototype solutions were tested with vulnerable pregnant women, husbands and community health workers to assess feasibility and acceptability. A total of 204 participants engaged in workshops and prototype testing. A core team of senior design staff further synthesized the outputs of the first and second round workshops. Insights around limited household support for pregnant women, low awareness on importance of healthcare services, demotivated healthcare providers, and poor service quality were harvested from these workshops. Development of HCD solutions . In the prototyping phase, our team prioritized potential prototype solutions based on an impact and feasibility matrix. The matrix served as a grading system to narrow down prototype solutions from those that were initially ideated among workshop participants based on the two dimensions: perceived impact (low or high) of solutions on institutional and ANC uptake and perceived feasibility (less or more likely to be implemented) pertaining to resource constraints. For example, while some solutions addressing structural-level factors, including transportation, were perceived as impactful, they were eliminated due to limited resources to address them. Ultimately, three solutions were selected: a self-paced, audio-based program on ANC and health facility delivery to promote couple discussion on these issues, visual print materials reinforcing the audio content on ANC and institutional delivery, and home visits by health development armies (community health volunteers) to deliver these materials and provide interpersonal education to couples. Our final solutions primarily addressed individual and social-level factors, such as perceptions, knowledge, and social and gender norms, while also partially influencing service-level factors by improving service providers' perceptions and engagement. The study team developed two pre-recorded audio programs containing real stories of pregnant women in the local language of the target area. The first audio session focuses on the importance of ANC through the narration of a couple's story, highlighting their communication and the husband's support in household tasks, as well as accompanying the wife to ANC visits. The second audio session focuses on the importance of institutional delivery from a story of a pregnant woman. It describes her first childbirth at home, which was a painful and difficult experience. The story then progresses to her second childbirth experience at a health facility, where she was well-prepared and supported by her husband. The two visual print materials (pamphlets) included graphics and text emphasizing behavioral action points that reinforced the audio messages. These prototypes were tested through focus group discussions with pregnant women, their husbands, healthcare providers and community volunteers, and then refined based on user feedback. Most responses were positive, with participants expressing appreciation for the relatable storytelling and the ease of engaging with the content at their own pace. Minor suggestions were received, primarily concerning the clarity of certain audio elements. Based on this feedback, minor adjustments were made to enhance the prototype’s usability and appeal. All five of the design thinking stages were implemented in the two study sites (Shalla and Siraro) of Oromia regional state. For Phase 2, we aim to leverage implementation research data from Phase 1 to finalize our HCD plans and solutions. Learnings from Phase I indicated that the solutions significantly increased institutional delivery rates among vulnerable pregnant women. However, the production costs of the solutions, the intensity of implementation requiring close follow-up and supervision at health facilities, and challenges in ensuring health system ownership for scalability and sustainability were identified as major bottlenecks. Thus, HCD in Phase 2 will focus on the new design challenge: reimagining the couple communication-based interventions to enhance scalability and health system ownership, with the goal of increasing institutional delivery rates among vulnerable pregnant women. We will apply the same five-stage HCD process in Phase 2. Since Phase 2 will focus on refining and strengthening the existing solutions, some of the HCD activities (e.g., “How Might We” statements and ideation) are expected to center around strategies for improving the materials and implementation delivery mechanisms through which scalability and health system ownership will be ensured. The HCD solutions will be tested with two target populations (pregnant women and implementers). Implementation plan As part of the implementation of the interventions in Phase 1, the study team conducted an orientation training for health extensions workers and health development armies (known as Hadha Gare locally) to equip them with the skills needed to identify vulnerable pregnant women using a vulnerability screening tool and to effectively implement the solutions. The prototype solutions were delivered by the trained health development army with the help of health extension workers for a duration of four months from February to May 2024. Prior to implementation, the health development army identified vulnerable pregnant women within their catchment area. They then scheduled an appointment to facilitate family discussions about the prototype solutions. The audio programs and print materials were intended to be delivered throughout five home visits by the health development army. For women whose gestational age was high (8–9 months), we aimed to provide audio and print materials on institutional delivery through three home visits. In the first visit, the health development army provided the household with an audio device containing the pre-recorded ANC program and gave instructions on how to engage in couple communication around the program. After two to three days, the health development army revisited the household to inquire about questions or concerns from the couple, collected the device, and provided a print material to reinforce the audio content. The health development army then conducted a third visit to gather feedback from the couple and provided the second audio device that contained a story of institutional delivery. At the fourth visit, the health development army collected the second device and provided the second print material to reinforce institutional delivery messages from the audio program. Finally, the health development army conducted the final visit, encouraging the pregnant woman to utilize health services until she delivers and addressing remaining concerns among the couple. All of the home visits required the husbands’ presence given that the solutions were designed to facilitate couple communication, which would in turn optimize male involvement in maternal health service potentially through shifting social and gender norms. However, if the husband was not available for long durations during the implementation period, the health development army facilitated discussions with pregnant women and other family members. To ensure seamless implementation of the interventions, the study team conducted close monitoring of activities that included site review meetings with implementing partners at the PHCU level and on-site supportive supervision to identify gaps, provide technical support, and address any identified implementation challenges. Key implementation outcome indicators, such as the number of pregnant women reached with ANC and institutional delivery audio programs and print materials, were regularly collected through the KoboCollect mobile platform. Data analysis plan Quantitative data analysis . First, we will conduct a series of bivariate tests, including chi-square and t-tests, across treatment and control arms based on baseline and endline data. The purpose of conducting bivariate tests is to identify differences between the study arms for each potential confounding factors, given the possibility of quasi-experimental design not ensuring baseline matching between intervention and control arms. If any differences are observed, they will be controlled for in subsequent regression analyses. We will also identify types of missing data to determine whether missingness occurs in a systematic manner, which will help us determine the appropriate remedial measure to adopt. Since this project will conduct various implementation activities at the PHCU level, the analysis will take account of clustering at the level. Further, because kebeles (akin to villages) are clustered within PHCUs, we will also consider clustering at the kebele level. Given the nested nature of this study, multi-level modeling is considered appropriate because it provides both cluster-specific and population-averaged estimates simultaneously by defining both random effects and fixed effects, respectively. Prior studies that represented similar scenarios, however, have shown that estimated coefficients and standard errors are usually not biased, even with a sample size as low as 5 to 10 at Level 1 27 , 28 , and with many independent variables and interaction terms 29 . Nevertheless, this study will use a multi-level modeling framework to assess the intervention effect based on a difference-in-difference analysis by computing differences between baseline and midline within each arm, and then test this difference between intervention and control arms. A fixed effects model will first be used to observe this effect of the intervention. Kebele and PHCU will then be included as random intercepts to account for clustering within these levels. The estimated variance for random effects will show the amount of variability in the outcome that is explained by the clusters (i.e., how much of institutional delivery uptake is attributed to a kebele). If the coefficient of the interaction term is significant with the significant model fit, we will observe significant program effects. The identical analyses will be conducted with 4+ANC visits as the outcome variable. Other covariates will be included by comparing goodness-of-fit statistics (e.g., AIC, BIC) to improve the model fit. Proper model specification and diagnostic tests will be conducted to enhance the robustness of the results. Phase 2 data analysis will focus on comparing service utilization between intervention and control arms. Since we expect that study effectiveness will be stronger in Phase 2 with the implementation of enhanced solutions, we will also compare the study outcomes with baseline at Phase 1. Qualitative data analysis Translated transcripts of the in-depth interviews will be uploaded to Dedoose 30 (Version 9.2.22), a qualitative analysis software that will be used to facilitate data management and organization. After reading over a few of the interview scripts for each type of stakeholder, an analytical framework will be developed using deductive and inductive approaches. The framework will describe themes, sub-themes, codes, sub-codes and illustrative quotes that would supplement each identified theme/sub-theme. Along with the interview data, field notes from monitoring visits (scheduled 4 times throughout implementation) will be additionally reviewed since they can provide rich context for the implementation process itself. Field notes would capture the trajectory of implementation as to how stakeholders engage with the process over time and whether specific implementation strategies would effectively address any challenges arising from the field. Codes related to implementation research outcomes will be pre-defined, but iterative coding will allow new ideas to emerge. Other themes related to change in social factors are expected to emerge from the data and will be identified through a process of open coding. Throughout the coding process, memo writing will be conducted simultaneously. Memo writing refers to systematic and continuous note-making during analysis 31 . While it has been primarily used in grounded theory, it is useful for a wide variety of qualitative methods because it provides researchers with an opportunity to critically reflect on how they view and treat data as well as any changes in decisions made 32 . Iterative coding and memo writing will enable constant comparisons of the data and other reflections over the course of the analysis. Two to three coders will analyze the same data to achieve consensus in the beginning, then analyze the rest of the transcripts individually. The data analysis team will meet regularly to ensure consistency in coding. The qualitative data management and analysis will adhere to the Consolidated criteria for reporting qualitative research (COREQ) guidelines 33 . Ethics approval This study was approved on October 5, 2023 by the Ethiopian Public Health Institute (EPHI), a governmental public health institution located in Addis Ababa, Ethiopia (EPHI-IRB-510-2023). The first phase of the study was also reviewed and approved by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board (IRB00024473) on July 18, 2023, and the approval was extended for Phase 2 on July 16, 2024. In order to conduct HCD processes, we obtained ethical approval for public health practice by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board (IRB00023366) on January 4, 2023. Any changes to study protocol will be communicated with these regulatory entities for approval immediately. All ethical requirements were adhered to during Phase 1, including administering recruitment scripts, obtaining consent, and ensuring the privacy of study participants as well as the confidentiality of the information collected. Study dissemination We will disseminate our work at conferences and peer-reviewed academic journals. We will also share our findings with program stakeholders, including government officials, health workers, and community workers. Participant consent and confidentiality All participants will be interviewed at their convenient location to ensure privacy. Informed consent will be obtained in Amharic or Afaan Oromo by local data collectors who are externally hired and trained by the Center for Communication Programs (CCP) Ethiopia study team. Data collectors will read the consent document to participants, who will then give verbal consent. Participants under the age of 19 are required to obtain the permission of one parent or legal guardian. Obtaining verbal consent is considered appropriate given the low level of literacy and education among study participants. The ethics committees from the team’s primary institutions approved administrating verbal consent. All data from participants will be de-identified by the study team and stored in secure, password-protected computers accessible only by the study team and its affiliates. Discussions The primary goal of the study is to determine whether, and to what extent, an intervention designed and implemented by adopting HCD principles can improve institutional delivery and ANC visits. While many interventions have been conducted to make an impact on these outcomes, two features of the current work are particularly noteworthy. First, the project adopts HCD principles throughout the life of the intervention, from the initial program design phase all the way to implementation and evaluation. A recent review indicates that most interventions identified as adopting HCD approaches do not do so in a holistic manner, limiting the HCD component predominantly to intervention design (Kang et al. , under review). While adopting HCD principles throughout the project is often time consuming, requiring frequent reappraisals and adjustments, this project will provide some indications about the strengths (and limitations) of this approach to inform future projects. The second innovative aspect of the current project is the extra effort we are expending on reaching women perceived to be most vulnerable. Given the high maternal mortality rate in Ethiopia, one can make the case that most women in the country are, in fact, vulnerable. Nevertheless, we make important distinctions between those who are vulnerable, writ large, and those whose individual, social, cultural, and environmental realities intersect in particularly devastating ways. The rationale for this approach is our observation that, although maternal health outcomes are steadily improving in Ethiopia, there is a group of women who needs support and approaches that are different from those being used to reach the larger majority, and we need interventions specifically tailored for this most-at-risk group. It is this belief that has resulted in a particular design of our study: we only include women whose vulnerability scores are moderate to high. It is likely that this approach requires extra resources, particularly if the most vulnerable women are geographically dispersed from each other and from the health services that they need to access. We suspect, however, that in the long run, these extra resources will turn out to be highly cost-effective, and we hope that dimensions will be designed to assess the cost-effectiveness and cost benefit of this approach. In any given population, it is reasonable to expect that a certain proportion will be responsive to interventions like ours, thus engaging in the behavior being promoted, and others will not. When the population is constrained, however, the results may be more circumspect; statistically speaking, when we constrain the variance, the associations among constructs will also be attenuated. In our study, the included population has been deliberately chosen to include only those most at risk for home-based delivery. A good proportion of this group is likely to be subjected to other constraints as well (we expect they will have lower levels of access to medical care, live further away from delivery sites, and have lower overall resources). Given this reality, we expect our overall effects to be lower in magnitude, as compared to other studies that have not constrained their sample to only the most at-risk groups. However, we believe this is an important population to reach, with tailored interventions that address their specific needs, because this group’s unique needs have mostly gone unaddressed (which is why they remain at-risk). The HCD solutions we are implementing in this project (e.g., delivering audio devices and supporting print materials) are, indeed, rather labor intensive and involve the adoption and distribution of new hardware. This intensity and the tailored approach, we anticipate, will be impactful among women who are exposed to the intervention. From a scale-up perspective, however, this may appear to be an approach that the government would be reluctant to adopt, given the required training and resources. We note that this approach is not meant to be scaled up for everyone; rather, the idea is that, for women whose life circumstances put them at the highest levels of risk, we need alternative approaches: ones that may be cost intensive but are, nevertheless, cost-effective. We hope to shed light on this tension between intervention intensity and its scale-up potential through the findings and recommendations that will emerge from this study. Conclusions Our study employs a sequential design to develop and evaluate an HCD-based intervention package aimed at improving maternal health service utilization among underserved pregnant women in rural Ethiopia. In Phase 1, we used a 5-stage HCD process to co-design solutions with women and stakeholders, fostering scalability and ownership within the health system in Phase 2. Our findings will provide important implications. First, it challenges the one-size-fits-all approach by focusing on the unique vulnerabilities of pregnant women, particularly those facing extreme poverty, food insecurity, and social isolation. This study advocates for initiatives that empower underserved populations to bridge maternal health gaps in the country. Second, we emphasized the role of husbands throughout our solutions, highlighting the need for gender-sensitive, women-centered programs to empower mothers, particularly in contexts where males are primary decision makers. Lastly, the study engaged community health workers, service providers, and government stakeholders in designing and implementing the intervention. Our findings may shed light on systems strengthening policies, including funding and technical support for rural health workers working in understaffed and inadequately resourced health facilities. Study status Our study is currently at the data analysis stage of Phase 1, preparing for the phase 2 HCD process. We completed all HCD activities and assessments in Phase 1 by August 2024. Data availability statement No data are associated with this article. Data instruments and tools used in this project are available at OSF. Findings from this study will be disseminated through peer-reviewed scholarly publications. Data will be made available from the corresponding authors upon reasonable request. Extended data OSF: Enhancing maternal health service utilization among highly vulnerable pregnant women through a human-centered design process: Study protocol for a quasi-experimental study in Oromia, Ethiopia. https://doi.org/10.17605/osf.io/cmnps 34 . This project contains the following underlying data: Appendix 1_Screening Tool. Pregnancy and vulnerability screening tool. Appendix 2_Survey questionnaire. Baseline and midline survey guide. Appendix 3_Qualitative guide Phase 1_Pregnant women. Qualitative questionnaire for pregnant women. Appendix 4–6_Qualitative guide Phase 1_Providers. Qualitative questionnaire for health care providers. Reporting guidelines OSF: SPIRIT Checklist for “Enhancing maternal health service utilization among highly vulnerable pregnant women through a human-centered design process: Study protocol for a quasi-experimental study in Oromia, Ethiopia.” https://doi.org/10.17605/osf.io/cmnps 34 . Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication). Acknowledgements The authors would like to thank Nandita Kapadia-Kundu, Sanjanthi Velu, and Paula Stauffer for contributing to study planning and Biruk Melaku Ayalew, Tsega Berhanu, Tewabech Tesfalegn Sheno, and Danielle Piccinini Black for facilitating the HCD process. We extend tanks to all workshop attendees and implementers in Phase 1. Faculty Opinions recommended References 1. WHO: Trends in maternal mortality 2000 to 2020: estimates by WHO, UNICEF, UNFPA, World BankGroup and UNDESA/Population Division. 2023; February 23, 2023. Reference Source 2. Central Statistical Agency - CSA/Ethiopia, ICF: Ethiopia demographic and health survey 2016. 2017. Reference Source 3. EDHS: Ethiopia mini Demographic and Health Survey 2019: final report. Reference Source 4. World Health Organization: Trends in maternal mortality 2000 to 2017: estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division. 2019. Reference Source 5. Banteyerga H: Ethiopia's health extension program: improving health through community involvement. MEDICC Rev. 2011; 13 (3): 46–9. PubMed Abstract | Publisher Full Text 6. (FMOH) EFMoH: Health Sector Transformation Plan (HSTP II) 2020-2025. 2021. Reference Source 7. Tura G, Fantahun M, Worku A: The effect of health facility delivery on neonatal mortality: systematic review and meta-analysis. BMC Pregnancy Childbirth. 2013; 13 (1): 18. PubMed Abstract | Publisher Full Text | Free Full Text 8. WHO: WHO recommendations on antenatal care for a positive pregnancy experience. 2016. Reference Source 9. Carlo WA, Goudar SS, Jehan I, et al. : Newborn-care training and perinatal mortality in developing countries. N Engl J Med. 2010; 362 (7): 614–23. PubMed Abstract | Publisher Full Text | Free Full Text 10. Ayenew AA, Nigussie AA, Zewdu BF: Childbirth at home and associated factors in Ethiopia: a systematic review and meta-analysis. Arch Public Health. 2021; 79 (1): 48. PubMed Abstract | Publisher Full Text | Free Full Text 11. Mirkuzie AH: Exploring inequities in skilled care at birth among migrant population in a metropolitan city Addis Ababa, Ethiopia; a qualitative study. Int J Equity Health. 2014; 13 (1): 110. PubMed Abstract | Publisher Full Text | Free Full Text 12. Yoseph M, Abebe SM, Mekonnen FA, et al. : Institutional delivery services utilization and its determinant factors among women who gave birth in the past 24 months in Southwest Ethiopia. BMC Health Serv Res. 2020; 20 (1): 265. PubMed Abstract | Publisher Full Text | Free Full Text 13. Shiferaw S, Spigt M, Godefrooij M, et al. : Why do women prefer home births in Ethiopia? BMC Pregnancy Childbirth. 2013; 13 (1): 5. PubMed Abstract | Publisher Full Text | Free Full Text 14. Tessema KM, Mihirete KM, Mengesha EW, et al. : The association between male involvement in institutional delivery and women’s use of institutional delivery in Debre Tabor town, North West Ethiopia: community based survey. PLoS One. 2021; 16 (4): e0249917. PubMed Abstract | Publisher Full Text | Free Full Text 15. King R, Jackson R, Dietsch E, et al. : Barriers and facilitators to accessing skilled birth attendants in Afar region, Ethiopia. Midwifery. 2015; 31 (5): 540–6. PubMed Abstract | Publisher Full Text 16. Bezabih AM, Wereta MH, Kahsay ZH, et al. : Demand and supply side barriers that limit the uptake of nutrition services among pregnant women from rural Ethiopia: an exploratory qualitative study. Nutrients. 2018; 10 (11): 1687. PubMed Abstract | Publisher Full Text | Free Full Text 17. Burrowes S, Holcombe SJ, Jara D, et al. : Midwives’ and patients’ perspectives on disrespect and abuse during labor and delivery care in Ethiopia: a qualitative study. BMC Pregnancy Childbirth. 2017; 17 (1): 263. PubMed Abstract | Publisher Full Text | Free Full Text 18. Bohren MA, Hunter EC, Munthe-Kaas HM, et al. : Facilitators and barriers to facility-based delivery in low- and middle-income countries: a qualitative evidence synthesis. Reprod Health. 2014; 11 (1): 71. PubMed Abstract | Publisher Full Text | Free Full Text 19. Sipsma H, Thompson J, Maurer L, et al. : Preferences for home delivery in Ethiopia: provider perspectives. Glob Public Health. 2013; 8 (9): 1014–26. PubMed Abstract | Publisher Full Text 20. Bedford J, Gandhi M, Admassu M, et al. : ‘A normal delivery takes place at home’: a qualitative study of the location of childbirth in rural Ethiopia. Matern Child Health J. 2013; 17 (2): 230–239. PubMed Abstract | Publisher Full Text 21. Sule FA, Uthman OA, Olamijuwon EO, et al. : Examining vulnerability and resilience in Maternal, Newborn and Child Health through a gender lens in low-income and middle-income countries: a scoping review. BMJ Glob Health. 2022; 7 (4): e007426. PubMed Abstract | Publisher Full Text | Free Full Text 22. Arora SK, Shah D, Chaturvedi S, et al. : Defining and measuring vulnerability in young people. Indian J Community Med. 2015; 40 (3): 193–7. PubMed Abstract | Publisher Full Text | Free Full Text 23. Kruk ME: Globalisation and global health governance: implications for public health. Glob Public Health. 2012; 7 (suppl 1): S54–S62. PubMed Abstract | Publisher Full Text 24. Keshavjee S: Blind spot: how neoliberalism infiltrated global health. Univ of California Press, 2014; 30 . . Reference Source 25. Peters DH, Adam T, Alonge O, et al. : Implementation research: what it is and how to do it. BMJ. 2013; 347 : f6753. PubMed Abstract | Publisher Full Text 26. Peters DH, Tran NT, Adam T: Implementation research in health: a practical guide. World Health Organization, 2013. Reference Source 27. Huang FL: Alternatives to multilevel modeling for the analysis of clustered data. J Exp Educ. 2016; 84 (1): 175–196. Publisher Full Text 28. Bell BA, Morgan GB, Kromrey JD, et al. : The impact of small cluster size on multilevel models: a Monte Carlo examination of two-level models with binary and continuous predictors. JSM Proceedings, Survey Research Methods Section. 2010; 1 (1): 4057–4067. Reference Source 29. Bell BA, Morgan GB, Schoeneberger JA, et al. : Dancing the sample size limbo with mixed models: how low can you go. Citeseer, 2010; 11–14. Reference Source 30. Dedoose: web application for managing, analyzing, and presenting qualitative and mixed-methods research data. Version Version 9.2.22. SocioCultural Research Consultants, 2024. Reference Source 31. Herzog C, Handke C, Hitters E: Analyzing talk and text II: thematic analysis. Springer, 2019; 385–401. Reference Source 32. Birks M, Chapman Y, Francis K: Memoing in qualitative research: probing data and processes. J Res Nurs. 2008; 13 (1): 68–75. Publisher Full Text 33. Tong A, Sainsbury P, Craig J: Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007; 19 (6): 349–357. PubMed Abstract | Publisher Full Text 34. Kang B, Tamene H, Lakew Y, et al. : Enhancing maternal health service utilization among highly vulnerable pregnant women through a human-centered design process: study protocol for a quasi-experimental study in Oromia, Ethiopia. [Dataset]. 2024. https://osf.io/cmnps/ Comments on this article Comments (0) Version 3 VERSION 3 PUBLISHED 27 Aug 2024 ADD YOUR COMMENT Comment Author details Author details 1 Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21215, USA 2 Center for Communication Programs, Johns Hopkins Bloomberg School of Public Health, Africa Avenue (Bole Road), Dembel City Center 10th Floor, P.O Box: 26171, Addis Ababa, 1000, Ethiopia Bee-Ah Kang Roles: Conceptualization, Methodology, Project Administration, Writing – Original Draft Preparation, Writing – Review & Editing Habtamu Tamene Roles: Conceptualization, Investigation, Methodology, Project Administration, Supervision, Validation, Writing – Original Draft Preparation Yihunie Lakew Roles: Investigation, Methodology, Supervision, Validation, Writing – Original Draft Preparation Daryl Stephens Roles: Writing – Review & Editing Rajiv Rimal Roles: Conceptualization, Funding Acquisition, Methodology, Project Administration, Supervision, Writing – Original Draft Preparation Competing interests No competing interests were disclosed. Grant information This work was supported by a grant to Johns Hopkins University (Rajiv N. Rimal, Principal Investigator) from The Gates Foundation grant number INV-035431. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (3) version 3 Update Published: 21 Feb 2025, 8:93 https://doi.org/10.12688/gatesopenres.16277.3 version 2 Revised Published: 18 Dec 2024, 8:93 https://doi.org/10.12688/gatesopenres.16277.2 version 1 Published: 27 Aug 2024, 8:93 https://doi.org/10.12688/gatesopenres.16277.1 Copyright © 2025 Kang BA et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads Gates Open Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Kang BA, Tamene H, Lakew Y et al. Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.12688/gatesopenres.16277.3 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 3 VERSION 3 PUBLISHED 21 Feb 2025 Update Views 0 Cite How to cite this report: Levandowski BA. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17708.r39457 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v3#referee-response-39457 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 26 Feb 2025 Brooke A Levandowski , Obstetrics & Gynecology, Medical Center, University of Rochester, Rochester, New York, USA Approved VIEWS 0 https://doi.org/10.21956/gatesopenres.17708.r39457 This version is much improved based on the reviewer comments and author responses. This is a ... Continue reading READ ALL This version is much improved based on the reviewer comments and author responses. This is a complex, multi-level study, which has taken many crucial considerations into account. I look forward to learning results. Competing Interests: No competing interests were disclosed. Reviewer Expertise: program evaluation; community based participatory research; maternal morbidity and mortality due to unsafe abortion in Kenya, Ethiopia, & Malawi I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Levandowski BA. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17708.r39457 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v3#referee-response-39457 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Version 2 VERSION 2 PUBLISHED 18 Dec 2024 Revised Views 0 Cite How to cite this report: Levandowski BA. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39155 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39155 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 10 Jan 2025 Brooke A Levandowski , Obstetrics & Gynecology, Medical Center, University of Rochester, Rochester, New York, USA Approved with Reservations VIEWS 0 https://doi.org/10.21956/gatesopenres.17700.r39155 I appreciate all the work that has been completed in the revisions to respond to reviewer comments. Please find additional comments below: 1. Please update the Abstract so the Background and Methods sections are different and ... Continue reading READ ALL I appreciate all the work that has been completed in the revisions to respond to reviewer comments. Please find additional comments below: 1. Please update the Abstract so the Background and Methods sections are different and include the appropriate information. 2. It would be helpful for an editor to review the language for correct English language. for example, the definition of "institutional delivery" has the wrong tense- occurred needs to change to occurs, or the whole sentence needs to be in past tense. 3. Under study setting, since control and intervention arms were not selected at random, please share what characteristics were used to choose them. 4. 2nd para under "development of HCD solutions": what is a self-aced program? Competing Interests: No competing interests were disclosed. Reviewer Expertise: program evaluation; community based participatory research; maternal morbidity and mortality due to unsafe abortion in Kenya, Ethiopia, & Malawi I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Levandowski BA. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39155 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39155 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 24 Feb 2025 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 24 Feb 2025 Author Response Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire ... Continue reading Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire text for grammatical errors. Study settings (woredas) were selected as intervention and control groups based on the following main characteristics: Agricultural livelihood, distance from major town, and maternal health service utilization. We have added this information to the Study Setting section. We have corrected this error in the sentence (to self-paced). Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire text for grammatical errors. Study settings (woredas) were selected as intervention and control groups based on the following main characteristics: Agricultural livelihood, distance from major town, and maternal health service utilization. We have added this information to the Study Setting section. We have corrected this error in the sentence (to self-paced). Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 24 Feb 2025 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 24 Feb 2025 Author Response Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire ... Continue reading Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire text for grammatical errors. Study settings (woredas) were selected as intervention and control groups based on the following main characteristics: Agricultural livelihood, distance from major town, and maternal health service utilization. We have added this information to the Study Setting section. We have corrected this error in the sentence (to self-paced). Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire text for grammatical errors. Study settings (woredas) were selected as intervention and control groups based on the following main characteristics: Agricultural livelihood, distance from major town, and maternal health service utilization. We have added this information to the Study Setting section. We have corrected this error in the sentence (to self-paced). Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Ali ST. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39243 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39243 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 02 Jan 2025 Syeda Tabeena Ali , Public Health, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology University, Karachi, Sindh, Pakistan Approved with Reservations VIEWS 0 https://doi.org/10.21956/gatesopenres.17700.r39243 The study's rationale and objectives are clearly described, providing a comprehensive background on maternal health challenges in Ethiopia and justifying the use of human-centred design (HCD) to address them. The quasi-experimental design is appropriate, given the study's context and constraints, ... Continue reading READ ALL The study's rationale and objectives are clearly described, providing a comprehensive background on maternal health challenges in Ethiopia and justifying the use of human-centred design (HCD) to address them. The quasi-experimental design is appropriate, given the study's context and constraints, effectively balancing feasibility and methodological rigor. However, some methodological details are insufficient for full replication, particularly regarding the validation of the screening tool, justification for the cutoff score, and participant selection criteria for midline and end-line qualitative interviews. While the study does not present datasets, it would benefit from outlining a clear data-sharing plan to enhance transparency. Addressing these gaps, particularly through validation of the screening tool and elaborating on sampling and iterative processes, would strengthen the study's replicability and scientific soundness. Is the rationale for, and objectives of, the study clearly described? Yes Is the study design appropriate for the research question? Yes Are sufficient details of the methods provided to allow replication by others? Partly Are the datasets clearly presented in a useable and accessible format? Not applicable Competing Interests: No competing interests were disclosed. Reviewer Expertise: Public Health (Epidemiology and Biostatistics, Maternal and Child Health, Reproductive Health, Healthcare Violence/Gender-Based Violence, and Infectious Diseases) I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Ali ST. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39243 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39243 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 22 Feb 2025 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 22 Feb 2025 Author Response Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the ... Continue reading Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. We added information about data availability in the future dissemination of study findings. Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. We added information about data availability in the future dissemination of study findings. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 22 Feb 2025 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 22 Feb 2025 Author Response Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the ... Continue reading Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. We added information about data availability in the future dissemination of study findings. Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. We added information about data availability in the future dissemination of study findings. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Isangula K. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39154 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39154 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 02 Jan 2025 Kahabi Isangula , School of Nursing and Midwifery, The Aga Khan University, Dar Es Salaam, Tanzania; Muhimbili Research Centre, National Institute for Medical Reasearch, Dar Es Salaam, Tanzania Approved with Reservations VIEWS 0 https://doi.org/10.21956/gatesopenres.17700.r39154 The authors have made significant improvements to the manuscript. However, I have noted that the information in the 'Background' and 'Methods' subsections of the Abstract is duplicative. I recommend revising these sections and cross-checking the document to ensure similar issues ... Continue reading READ ALL The authors have made significant improvements to the manuscript. However, I have noted that the information in the 'Background' and 'Methods' subsections of the Abstract is duplicative. I recommend revising these sections and cross-checking the document to ensure similar issues do not appear elsewhere. For reference: Abstract Background Disproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia. Methods Disproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia. Competing Interests: No competing interests were disclosed. Reviewer Expertise: Maternal and child health, health service research, and human centred design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Isangula K. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39154 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39154 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 21 Feb 2025 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 21 Feb 2025 Author Response Thank you, we have corrected the duplicative abstract. Competing Interests: No competing interests were disclosed. Thank you, we have corrected the duplicative abstract. Thank you, we have corrected the duplicative abstract. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 21 Feb 2025 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 21 Feb 2025 Author Response Thank you, we have corrected the duplicative abstract. Competing Interests: No competing interests were disclosed. Thank you, we have corrected the duplicative abstract. Thank you, we have corrected the duplicative abstract. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Version 1 VERSION 1 PUBLISHED 27 Aug 2024 Views 0 Cite How to cite this report: Levandowski BA. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17642.r38028 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v1#referee-response-38028 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 11 Oct 2024 Brooke A Levandowski , Obstetrics & Gynecology, Medical Center, University of Rochester, Rochester, New York, USA Approved with Reservations VIEWS 0 https://doi.org/10.21956/gatesopenres.17642.r38028 This is an interesting study that shares a unique method of addressing maternal and infant mortality, by asking women themselves within HCD constructs. I look forward to sharing the vulnerability scale and learning results. There are two ... Continue reading READ ALL This is an interesting study that shares a unique method of addressing maternal and infant mortality, by asking women themselves within HCD constructs. I look forward to sharing the vulnerability scale and learning results. There are two points about the Introduction that may increase understanding of the Ethiopia setting. 1. for the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. There are a few points that I believe, if added, make this study more easily replicable. 1. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. It's unclear what the terms "below the zone" and "below the region" mean in the study setting description. 2. How many women were recruited by woredas? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? 3. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? 4. How were women, husbands, &health workers compensated for HDA development, focus groups, and intervention home visits? 5. Why wasn't the pretest included in Phase 2? Is the rationale for, and objectives of, the study clearly described? Partly Is the study design appropriate for the research question? Yes Are sufficient details of the methods provided to allow replication by others? No Are the datasets clearly presented in a useable and accessible format? Not applicable Competing Interests: No competing interests were disclosed. Reviewer Expertise: program evaluation; community based participatory research; maternal morbidity and mortality due to unsafe abortion in Kenya, Ethiopia, & Malawi I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Levandowski BA. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17642.r38028 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v1#referee-response-38028 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 18 Dec 2024 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 18 Dec 2024 Author Response We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For ... Continue reading We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) The government’s push for zero home delivery is the overarching motto set by the Ministry of Health to mitigate home delivery at the community level. We have modified the phrase to avoid confusion. There is no publicly available data on institutional/home delivery at the woreda level, though we expect it to greatly vary across woredas. To highlight the disparity issue, we provided available statistics on regional disparities in the following paragraph. The HSTP-II defined health system responsiveness as “the level to which health services respond to the needs and expectations of targeted individuals and communities.” We have added the language to enhance clarity. 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. We appreciate this helpful suggestion. We have added delivery cost as one of the structural factors. We outlined a list of potential factors to emphasize the broad range of participant experiences we might gather through the HCD process, rather than to propose a hypothesis for change based on our solutions. This perspective was especially pertinent to the unique circumstances faced by our target population. Given the strength of HCD in enabling designers to remain open to emerging ideas from participants while avoiding predefined hypotheses, we were able to capture diverse experiences and challenges related to service uptake. However, while the insights generated spanned multiple levels, we had to exclude some structural-level solutions due to resource constraints. These details are described in the “Development of HCD Solutions” section. We also added a sentence on our expected level of change to enhance clarity. 3. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. To enhance the reader’s understanding of the Ethiopian administration and health system structure, we created Figure 1. 4. How many women were recruited by woredas ? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? Pregnant women were not recruited by woreda. Rather, the recruitment was done per enumeration areas as indicated in the “Recruitment” section. 5. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? The HDA first tried to reschedule the home visit, but if the husband was unavailable for an extended period, the HDA facilitated discussions with other household members. 6. How were women, husbands, & health workers compensated for HDA development, focus groups, and intervention home visits? Compensation for participants varied by type of study participant and level of participation. For pregnant women engaged in focus group discussions (FGDs), refreshments were provided during the discussions, and we covered their transportation expenses for traveling from home to the meeting hall. For pregnant women participating in survey interviews, we provided two bars of soap. However, no compensation was offered to healthcare providers, as the interviews were conducted at their offices during their regular working hours. 7. Why wasn't the pretest included in Phase 2? The Phase 2 HCD solutions will be tested with two target populations (pregnant women and implementers). We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) The government’s push for zero home delivery is the overarching motto set by the Ministry of Health to mitigate home delivery at the community level. We have modified the phrase to avoid confusion. There is no publicly available data on institutional/home delivery at the woreda level, though we expect it to greatly vary across woredas. To highlight the disparity issue, we provided available statistics on regional disparities in the following paragraph. The HSTP-II defined health system responsiveness as “the level to which health services respond to the needs and expectations of targeted individuals and communities.” We have added the language to enhance clarity. 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. We appreciate this helpful suggestion. We have added delivery cost as one of the structural factors. We outlined a list of potential factors to emphasize the broad range of participant experiences we might gather through the HCD process, rather than to propose a hypothesis for change based on our solutions. This perspective was especially pertinent to the unique circumstances faced by our target population. Given the strength of HCD in enabling designers to remain open to emerging ideas from participants while avoiding predefined hypotheses, we were able to capture diverse experiences and challenges related to service uptake. However, while the insights generated spanned multiple levels, we had to exclude some structural-level solutions due to resource constraints. These details are described in the “Development of HCD Solutions” section. We also added a sentence on our expected level of change to enhance clarity. 3. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. To enhance the reader’s understanding of the Ethiopian administration and health system structure, we created Figure 1. 4. How many women were recruited by woredas ? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? Pregnant women were not recruited by woreda. Rather, the recruitment was done per enumeration areas as indicated in the “Recruitment” section. 5. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? The HDA first tried to reschedule the home visit, but if the husband was unavailable for an extended period, the HDA facilitated discussions with other household members. 6. How were women, husbands, & health workers compensated for HDA development, focus groups, and intervention home visits? Compensation for participants varied by type of study participant and level of participation. For pregnant women engaged in focus group discussions (FGDs), refreshments were provided during the discussions, and we covered their transportation expenses for traveling from home to the meeting hall. For pregnant women participating in survey interviews, we provided two bars of soap. However, no compensation was offered to healthcare providers, as the interviews were conducted at their offices during their regular working hours. 7. Why wasn't the pretest included in Phase 2? The Phase 2 HCD solutions will be tested with two target populations (pregnant women and implementers). Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 18 Dec 2024 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 18 Dec 2024 Author Response We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For ... Continue reading We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) The government’s push for zero home delivery is the overarching motto set by the Ministry of Health to mitigate home delivery at the community level. We have modified the phrase to avoid confusion. There is no publicly available data on institutional/home delivery at the woreda level, though we expect it to greatly vary across woredas. To highlight the disparity issue, we provided available statistics on regional disparities in the following paragraph. The HSTP-II defined health system responsiveness as “the level to which health services respond to the needs and expectations of targeted individuals and communities.” We have added the language to enhance clarity. 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. We appreciate this helpful suggestion. We have added delivery cost as one of the structural factors. We outlined a list of potential factors to emphasize the broad range of participant experiences we might gather through the HCD process, rather than to propose a hypothesis for change based on our solutions. This perspective was especially pertinent to the unique circumstances faced by our target population. Given the strength of HCD in enabling designers to remain open to emerging ideas from participants while avoiding predefined hypotheses, we were able to capture diverse experiences and challenges related to service uptake. However, while the insights generated spanned multiple levels, we had to exclude some structural-level solutions due to resource constraints. These details are described in the “Development of HCD Solutions” section. We also added a sentence on our expected level of change to enhance clarity. 3. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. To enhance the reader’s understanding of the Ethiopian administration and health system structure, we created Figure 1. 4. How many women were recruited by woredas ? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? Pregnant women were not recruited by woreda. Rather, the recruitment was done per enumeration areas as indicated in the “Recruitment” section. 5. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? The HDA first tried to reschedule the home visit, but if the husband was unavailable for an extended period, the HDA facilitated discussions with other household members. 6. How were women, husbands, & health workers compensated for HDA development, focus groups, and intervention home visits? Compensation for participants varied by type of study participant and level of participation. For pregnant women engaged in focus group discussions (FGDs), refreshments were provided during the discussions, and we covered their transportation expenses for traveling from home to the meeting hall. For pregnant women participating in survey interviews, we provided two bars of soap. However, no compensation was offered to healthcare providers, as the interviews were conducted at their offices during their regular working hours. 7. Why wasn't the pretest included in Phase 2? The Phase 2 HCD solutions will be tested with two target populations (pregnant women and implementers). We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) The government’s push for zero home delivery is the overarching motto set by the Ministry of Health to mitigate home delivery at the community level. We have modified the phrase to avoid confusion. There is no publicly available data on institutional/home delivery at the woreda level, though we expect it to greatly vary across woredas. To highlight the disparity issue, we provided available statistics on regional disparities in the following paragraph. The HSTP-II defined health system responsiveness as “the level to which health services respond to the needs and expectations of targeted individuals and communities.” We have added the language to enhance clarity. 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. We appreciate this helpful suggestion. We have added delivery cost as one of the structural factors. We outlined a list of potential factors to emphasize the broad range of participant experiences we might gather through the HCD process, rather than to propose a hypothesis for change based on our solutions. This perspective was especially pertinent to the unique circumstances faced by our target population. Given the strength of HCD in enabling designers to remain open to emerging ideas from participants while avoiding predefined hypotheses, we were able to capture diverse experiences and challenges related to service uptake. However, while the insights generated spanned multiple levels, we had to exclude some structural-level solutions due to resource constraints. These details are described in the “Development of HCD Solutions” section. We also added a sentence on our expected level of change to enhance clarity. 3. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. To enhance the reader’s understanding of the Ethiopian administration and health system structure, we created Figure 1. 4. How many women were recruited by woredas ? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? Pregnant women were not recruited by woreda. Rather, the recruitment was done per enumeration areas as indicated in the “Recruitment” section. 5. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? The HDA first tried to reschedule the home visit, but if the husband was unavailable for an extended period, the HDA facilitated discussions with other household members. 6. How were women, husbands, & health workers compensated for HDA development, focus groups, and intervention home visits? Compensation for participants varied by type of study participant and level of participation. For pregnant women engaged in focus group discussions (FGDs), refreshments were provided during the discussions, and we covered their transportation expenses for traveling from home to the meeting hall. For pregnant women participating in survey interviews, we provided two bars of soap. However, no compensation was offered to healthcare providers, as the interviews were conducted at their offices during their regular working hours. 7. Why wasn't the pretest included in Phase 2? The Phase 2 HCD solutions will be tested with two target populations (pregnant women and implementers). Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Isangula K. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17642.r37886 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v1#referee-response-37886 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 06 Sep 2024 Kahabi Isangula , School of Nursing and Midwifery, The Aga Khan University, Dar Es Salaam, Tanzania; Muhimbili Research Centre, National Institute for Medical Reasearch, Dar Es Salaam, Tanzania Approved with Reservations VIEWS 0 https://doi.org/10.21956/gatesopenres.17642.r37886 Thank you for the opportunity to review the article titled "Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women Through a Human-Centered Design Process: Study Protocol for a Quasi-Experimental Study in Oromia, Ethiopia," submitted to this journal. The topic ... Continue reading READ ALL Thank you for the opportunity to review the article titled "Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women Through a Human-Centered Design Process: Study Protocol for a Quasi-Experimental Study in Oromia, Ethiopia," submitted to this journal. The topic is highly relevant, and the innovative use of human-centered design (HCD) is expected to produce solutions that are both practical and widely accepted by pregnant women. I have a few suggestions to improve the manuscript: 1. Title: The title appears misleading and may need revision to clarify that the quasi-experimental design pertains specifically to one aspect of the HCD process—prototype validation—and not the entire HCD methodology. The early phases of HCD, such as co-design, may not involve a quasi-experimental design. If the protocol covers the entire HCD process, I suggest a title such as: "Co-Designing and Evaluating Solutions for Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women: Study Protocol for Human-Centered Design in Oromia, Ethiopia." If the protocol only covers the solution implementation phase, I suggest a title such as: "Evaluating Co-Designed Solutions for Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women: Study Protocol for a Quasi-Experimental Study in Oromia, Ethiopia." 2. Abstract: Background: The objective is somewhat unclear. Is the aim to co-design and evaluate solutions, or to evaluate solutions that have already been co-designed? The latter implies that the solutions have been developed prior to the proposed study. If the latter is true, please clarify. Methods: Significant restructuring is needed. The authors should briefly explain how the solutions will be developed using HCD before they are evaluated. Summarize the HCD steps, participants, and the process leading up to the validation study. It should also be clarified whether the solutions will be tested within the same population in which they were developed. Conclusions: While a sequential approach is mentioned, it is not adequately described in the methods summary. Additionally, include a sentence about the expected prototypes and how the solutions are anticipated to impact practice and policy. 3. Introduction Given that HCD is used to address complex problems: (1) Highlight the complex interplay of factors influencing antenatal care (ANC) uptake among pregnant women; (2) Examine existing interventions aimed at addressing these factors, identifying the gaps that HCD can address; and (3) Explain why solutions designed through HCD are expected to drive meaningful changes. If the solutions already exist, explain what are they and how they were developed 4. Objectives: Please refer to the comments on the abstract regarding the objective. The HCD component—its iterative steps, objectives of each step, participants, and how each step builds on the previous one—is not clearly reflected in the objectives. The authors should also clarify whether they plan to refine the solution based on findings from the quasi-experimental study. It may be helpful to refer to previous studies, such as Isangula K et a. (2022 [Ref - 1]) https://pubmed.ncbi.nlm.nih.gov/35797107/ OR Isangula K et al. (2023 [Ref-2] https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-023-01472-w . 5. Methods Although HCD seems to be the backbone of this study, the description of how the solutions will be (or were) co-designed through HCD is insufficient. The focus appears to be more on the implementation/validation phase rather than the full HCD process. I recommend providing a detailed description of the HCD component used for solution development—its iterative steps, the objectives of each step, the participants involved, and how each step builds on the previous one. My understanding is that a community-based quasi-experimental design is being employed. If the solutions have already been developed, as suggested in the description of phase 1, the authors need to elaborate on how these solutions were reached through the HCD process during phase 1 The paragraphs regarding the baseline survey, phase 1, and subsequent paragraphs are quite confusing. While HCD is mentioned, it’s unclear how it was implemented. I recommend providing a clearer explanation of the HCD process in phase 1, detailing how it was carried out, the participants of each step and their recruitments, the specific steps taken, and how it informed the development of the solutions. In summary, while the description of the experimental study itself is okay, a significant restructuring of the methods section is necessary to ensure clarity, coherence, and proper alignment with fundamental HCD principles. 6. Discussion The authors should elaborate on the expected results and explain how these will be compared to findings from previous studies. 7. Conclusion Please add a conclusion section. Expand on the content from the abstract, emphasizing how the findings are expected to inform both practice and policy. I believe these suggestions will result into improved and clear protocol. Is the rationale for, and objectives of, the study clearly described? Partly Is the study design appropriate for the research question? Partly Are sufficient details of the methods provided to allow replication by others? Partly Are the datasets clearly presented in a useable and accessible format? Not applicable References 1. Isangula K, Shumba C, Pallangyo ES, Mbekenga C, et al.: Strengthening Interpersonal Relationships in Maternal and Child Health Care in Rural Tanzania: Protocol for a Human-Centered Design Intervention. JMIR Res Protoc . 2022; 11 (7): e37947 PubMed Abstract | Publisher Full Text 2. Isangula K, Pallangyo ES, Ndirangu-Mugo E: Interventions co-designed by healthcare providers and clients for improving therapeutic relationships in maternal and child healthcare: a pilot study using human centered design in rural Tanzania. BMC Nurs . 2023; 22 (1): 314 PubMed Abstract | Publisher Full Text Competing Interests: No competing interests were disclosed. Reviewer Expertise: Maternal and child health, health service research, and human centred design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Isangula K. Reviewer Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17642.r37886 ) The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v1#referee-response-37886 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 18 Dec 2024 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 18 Dec 2024 Author Response We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title ... Continue reading We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title We appreciate the author’s helpful suggestion. We have revised the title of our paper as follows: “Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study” 2. Abstract Background: Solutions were already developed for Phase 1, and solutions for Phase 2 are under development. As our protocol covers both the development and evaluation processes, we have revised our study objective in the Background section of Abstract accordingly. Methods: We appreciate the reviewer’s suggestion. We have reconfigured the Methods section in the Abstract by study phase to enhance the reader’s understanding of our two-phased design. Given the word limit in the Abstract, we have provided detailed HCD procedures in the main text. Conclusions: We have clarified the sequential approach along with our finalized solutions in the Methods section. We have also added a sentence about our expected implications for practice and policy in the Conclusions and Implications section. 3. Introduction We have added a paragraph to the Introduction section, detailing HCD’s potential in addressing multilevel factors of health issues and its application in prior interventions. We also described why HCD would be particularly useful for our study. 4. Objectives To enhance the understanding of our study objectives, we divided our objectives into intervention development and intervention evaluation. Our study objectives remain at the overall study design level, rather than within the HCD process, which we described in the Methods section more in detail. 5. Methods A detailed description of the HCD process, including participants recruitment, testing, and solution finalization were added on the “HCD workshop procedure” and “Development of HCD solutions” sections. Throughout these sections, HCD goals and methods for in Phases 1 and 2 have been clarified. In terms of structure, the overall Methods section is organized to follow a quasi-experimental trial designed to evaluate HCD solutions. The trial description includes information about both intervention and control arms, pertaining to sample, study design, data collection, and setting for the trial. All HCD-related information is provided under the “Intervention” section. Since our HCD activities only occurred for the intervention arm, we believe this structure aligns with the overall flow of this paper. 6. Discussion We added a paragraph in the Discussion section to address this important issue. See paragraph, “In any given population,….” 7. Conclusion We appreciate the author’s suggestion to highlight the practice and policy implications of our study. We added a conclusion section at the end of our manuscript. We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title We appreciate the author’s helpful suggestion. We have revised the title of our paper as follows: “Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study” 2. Abstract Background: Solutions were already developed for Phase 1, and solutions for Phase 2 are under development. As our protocol covers both the development and evaluation processes, we have revised our study objective in the Background section of Abstract accordingly. Methods: We appreciate the reviewer’s suggestion. We have reconfigured the Methods section in the Abstract by study phase to enhance the reader’s understanding of our two-phased design. Given the word limit in the Abstract, we have provided detailed HCD procedures in the main text. Conclusions: We have clarified the sequential approach along with our finalized solutions in the Methods section. We have also added a sentence about our expected implications for practice and policy in the Conclusions and Implications section. 3. Introduction We have added a paragraph to the Introduction section, detailing HCD’s potential in addressing multilevel factors of health issues and its application in prior interventions. We also described why HCD would be particularly useful for our study. 4. Objectives To enhance the understanding of our study objectives, we divided our objectives into intervention development and intervention evaluation. Our study objectives remain at the overall study design level, rather than within the HCD process, which we described in the Methods section more in detail. 5. Methods A detailed description of the HCD process, including participants recruitment, testing, and solution finalization were added on the “HCD workshop procedure” and “Development of HCD solutions” sections. Throughout these sections, HCD goals and methods for in Phases 1 and 2 have been clarified. In terms of structure, the overall Methods section is organized to follow a quasi-experimental trial designed to evaluate HCD solutions. The trial description includes information about both intervention and control arms, pertaining to sample, study design, data collection, and setting for the trial. All HCD-related information is provided under the “Intervention” section. Since our HCD activities only occurred for the intervention arm, we believe this structure aligns with the overall flow of this paper. 6. Discussion We added a paragraph in the Discussion section to address this important issue. See paragraph, “In any given population,….” 7. Conclusion We appreciate the author’s suggestion to highlight the practice and policy implications of our study. We added a conclusion section at the end of our manuscript. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 18 Dec 2024 Daryl Stephens , Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA 18 Dec 2024 Author Response We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title ... Continue reading We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title We appreciate the author’s helpful suggestion. We have revised the title of our paper as follows: “Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study” 2. Abstract Background: Solutions were already developed for Phase 1, and solutions for Phase 2 are under development. As our protocol covers both the development and evaluation processes, we have revised our study objective in the Background section of Abstract accordingly. Methods: We appreciate the reviewer’s suggestion. We have reconfigured the Methods section in the Abstract by study phase to enhance the reader’s understanding of our two-phased design. Given the word limit in the Abstract, we have provided detailed HCD procedures in the main text. Conclusions: We have clarified the sequential approach along with our finalized solutions in the Methods section. We have also added a sentence about our expected implications for practice and policy in the Conclusions and Implications section. 3. Introduction We have added a paragraph to the Introduction section, detailing HCD’s potential in addressing multilevel factors of health issues and its application in prior interventions. We also described why HCD would be particularly useful for our study. 4. Objectives To enhance the understanding of our study objectives, we divided our objectives into intervention development and intervention evaluation. Our study objectives remain at the overall study design level, rather than within the HCD process, which we described in the Methods section more in detail. 5. Methods A detailed description of the HCD process, including participants recruitment, testing, and solution finalization were added on the “HCD workshop procedure” and “Development of HCD solutions” sections. Throughout these sections, HCD goals and methods for in Phases 1 and 2 have been clarified. In terms of structure, the overall Methods section is organized to follow a quasi-experimental trial designed to evaluate HCD solutions. The trial description includes information about both intervention and control arms, pertaining to sample, study design, data collection, and setting for the trial. All HCD-related information is provided under the “Intervention” section. Since our HCD activities only occurred for the intervention arm, we believe this structure aligns with the overall flow of this paper. 6. Discussion We added a paragraph in the Discussion section to address this important issue. See paragraph, “In any given population,….” 7. Conclusion We appreciate the author’s suggestion to highlight the practice and policy implications of our study. We added a conclusion section at the end of our manuscript. We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title We appreciate the author’s helpful suggestion. We have revised the title of our paper as follows: “Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study” 2. Abstract Background: Solutions were already developed for Phase 1, and solutions for Phase 2 are under development. As our protocol covers both the development and evaluation processes, we have revised our study objective in the Background section of Abstract accordingly. Methods: We appreciate the reviewer’s suggestion. We have reconfigured the Methods section in the Abstract by study phase to enhance the reader’s understanding of our two-phased design. Given the word limit in the Abstract, we have provided detailed HCD procedures in the main text. Conclusions: We have clarified the sequential approach along with our finalized solutions in the Methods section. We have also added a sentence about our expected implications for practice and policy in the Conclusions and Implications section. 3. Introduction We have added a paragraph to the Introduction section, detailing HCD’s potential in addressing multilevel factors of health issues and its application in prior interventions. We also described why HCD would be particularly useful for our study. 4. Objectives To enhance the understanding of our study objectives, we divided our objectives into intervention development and intervention evaluation. Our study objectives remain at the overall study design level, rather than within the HCD process, which we described in the Methods section more in detail. 5. Methods A detailed description of the HCD process, including participants recruitment, testing, and solution finalization were added on the “HCD workshop procedure” and “Development of HCD solutions” sections. Throughout these sections, HCD goals and methods for in Phases 1 and 2 have been clarified. In terms of structure, the overall Methods section is organized to follow a quasi-experimental trial designed to evaluate HCD solutions. The trial description includes information about both intervention and control arms, pertaining to sample, study design, data collection, and setting for the trial. All HCD-related information is provided under the “Intervention” section. Since our HCD activities only occurred for the intervention arm, we believe this structure aligns with the overall flow of this paper. 6. Discussion We added a paragraph in the Discussion section to address this important issue. See paragraph, “In any given population,….” 7. Conclusion We appreciate the author’s suggestion to highlight the practice and policy implications of our study. We added a conclusion section at the end of our manuscript. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Comments on this article Comments (0) Version 3 VERSION 3 PUBLISHED 27 Aug 2024 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 3 Version 3 (update) 21 Feb 25 read Version 2 (revision) 18 Dec 24 read read read Version 1 27 Aug 24 read read Kahabi Isangula , The Aga Khan University, Dar Es Salaam, Tanzania; National Institute for Medical Reasearch, Dar Es Salaam, Tanzania Brooke A Levandowski , University of Rochester, Rochester, USA Syeda Tabeena Ali , Shaheed Zulfikar Ali Bhutto Institute of Science and Technology University, Karachi, Pakistan Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Levandowski B. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 26 Feb 2025 | for Version 3 Brooke A Levandowski , Obstetrics & Gynecology, Medical Center, University of Rochester, Rochester, New York, USA 0 Views copyright © 2025 Levandowski B. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This version is much improved based on the reviewer comments and author responses. This is a complex, multi-level study, which has taken many crucial considerations into account. I look forward to learning results. Competing Interests No competing interests were disclosed. Reviewer Expertise program evaluation; community based participatory research; maternal morbidity and mortality due to unsafe abortion in Kenya, Ethiopia, & Malawi I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Levandowski BA. Peer Review Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17708.r39457) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v3#referee-response-39457 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Levandowski B. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 10 Jan 2025 | for Version 2 Brooke A Levandowski , Obstetrics & Gynecology, Medical Center, University of Rochester, Rochester, New York, USA 0 Views copyright © 2025 Levandowski B. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions I appreciate all the work that has been completed in the revisions to respond to reviewer comments. Please find additional comments below: 1. Please update the Abstract so the Background and Methods sections are different and include the appropriate information. 2. It would be helpful for an editor to review the language for correct English language. for example, the definition of "institutional delivery" has the wrong tense- occurred needs to change to occurs, or the whole sentence needs to be in past tense. 3. Under study setting, since control and intervention arms were not selected at random, please share what characteristics were used to choose them. 4. 2nd para under "development of HCD solutions": what is a self-aced program? Competing Interests No competing interests were disclosed. Reviewer Expertise program evaluation; community based participatory research; maternal morbidity and mortality due to unsafe abortion in Kenya, Ethiopia, & Malawi I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 24 Feb 2025 Daryl Stephens, Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA Thank you, in response to your comments we have made the following amendments to the text: We have corrected the duplicative abstract. We have proofread the entire text for grammatical errors. Study settings (woredas) were selected as intervention and control groups based on the following main characteristics: Agricultural livelihood, distance from major town, and maternal health service utilization. We have added this information to the Study Setting section. We have corrected this error in the sentence (to self-paced). View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Levandowski BA. Peer Review Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39155) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39155 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Ali S. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 02 Jan 2025 | for Version 2 Syeda Tabeena Ali , Public Health, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology University, Karachi, Sindh, Pakistan 0 Views copyright © 2025 Ali S. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The study's rationale and objectives are clearly described, providing a comprehensive background on maternal health challenges in Ethiopia and justifying the use of human-centred design (HCD) to address them. The quasi-experimental design is appropriate, given the study's context and constraints, effectively balancing feasibility and methodological rigor. However, some methodological details are insufficient for full replication, particularly regarding the validation of the screening tool, justification for the cutoff score, and participant selection criteria for midline and end-line qualitative interviews. While the study does not present datasets, it would benefit from outlining a clear data-sharing plan to enhance transparency. Addressing these gaps, particularly through validation of the screening tool and elaborating on sampling and iterative processes, would strengthen the study's replicability and scientific soundness. Is the rationale for, and objectives of, the study clearly described? Yes Is the study design appropriate for the research question? Yes Are sufficient details of the methods provided to allow replication by others? Partly Are the datasets clearly presented in a useable and accessible format? Not applicable Competing Interests No competing interests were disclosed. Reviewer Expertise Public Health (Epidemiology and Biostatistics, Maternal and Child Health, Reproductive Health, Healthcare Violence/Gender-Based Violence, and Infectious Diseases) I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 22 Feb 2025 Daryl Stephens, Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA Thank you for your review. In response to your comments, we have made the following adjustments: We have created a section titled “Maternal Vulnerability Segmentation Tool” under the Methods to outline the process of developing and validating the tool. We have revised the “Recruitment” section to describe the participant selection criteria for qualitative interviews in both study phases. We added information about data availability in the future dissemination of study findings. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Ali ST. Peer Review Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39243) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39243 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Isangula K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 02 Jan 2025 | for Version 2 Kahabi Isangula , School of Nursing and Midwifery, The Aga Khan University, Dar Es Salaam, Tanzania; Muhimbili Research Centre, National Institute for Medical Reasearch, Dar Es Salaam, Tanzania 0 Views copyright © 2025 Isangula K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors have made significant improvements to the manuscript. However, I have noted that the information in the 'Background' and 'Methods' subsections of the Abstract is duplicative. I recommend revising these sections and cross-checking the document to ensure similar issues do not appear elsewhere. For reference: Abstract Background Disproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia. Methods Disproportionate uptake of and access to maternal and child health services remain significant challenges across and within countries. Differing geographic, economic, environmental, and social factors contribute to varying degrees of vulnerabilities among individuals, which manifest as disparities in maternal and newborn health outcomes. Designing solutions according to need is vital to improve maternal and child health outcomes. In this paper, we describe our study protocol on developing and evaluating the effectiveness of human-centered design (HCD) solutions to improve maternal health service uptake among vulnerable pregnant women in rural areas of Ethiopia. Competing Interests No competing interests were disclosed. Reviewer Expertise Maternal and child health, health service research, and human centred design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 21 Feb 2025 Daryl Stephens, Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA Thank you, we have corrected the duplicative abstract. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Isangula K. Peer Review Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17700.r39154) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v2#referee-response-39154 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Levandowski B. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 11 Oct 2024 | for Version 1 Brooke A Levandowski , Obstetrics & Gynecology, Medical Center, University of Rochester, Rochester, New York, USA 0 Views copyright © 2024 Levandowski B. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This is an interesting study that shares a unique method of addressing maternal and infant mortality, by asking women themselves within HCD constructs. I look forward to sharing the vulnerability scale and learning results. There are two points about the Introduction that may increase understanding of the Ethiopia setting. 1. for the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. There are a few points that I believe, if added, make this study more easily replicable. 1. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. It's unclear what the terms "below the zone" and "below the region" mean in the study setting description. 2. How many women were recruited by woredas? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? 3. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? 4. How were women, husbands, &health workers compensated for HDA development, focus groups, and intervention home visits? 5. Why wasn't the pretest included in Phase 2? Is the rationale for, and objectives of, the study clearly described? Partly Is the study design appropriate for the research question? Yes Are sufficient details of the methods provided to allow replication by others? No Are the datasets clearly presented in a useable and accessible format? Not applicable Competing Interests No competing interests were disclosed. Reviewer Expertise program evaluation; community based participatory research; maternal morbidity and mortality due to unsafe abortion in Kenya, Ethiopia, & Malawi I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 18 Dec 2024 Daryl Stephens, Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. For the HSTP-II, what does it mean to "transform woredas toward zero home delivery"? (What is the level now?) or to "improve health system responsiveness"? (responsiveness to what?) The government’s push for zero home delivery is the overarching motto set by the Ministry of Health to mitigate home delivery at the community level. We have modified the phrase to avoid confusion. There is no publicly available data on institutional/home delivery at the woreda level, though we expect it to greatly vary across woredas. To highlight the disparity issue, we provided available statistics on regional disparities in the following paragraph. The HSTP-II defined health system responsiveness as “the level to which health services respond to the needs and expectations of targeted individuals and communities.” We have added the language to enhance clarity. 2. The authors helpfully identified barriers to ANC care and hospital delivery at the individual, social, cultural, structural, and service-related levels. (suggest adding mention of delivery cost; only transportation costs noted). The intervention only appears to address a few individual level barriers while hypothesizing this will lead to systemic changes. I suggest aligning the hypothesis with individual level changes, as that may be more appropriate. We appreciate this helpful suggestion. We have added delivery cost as one of the structural factors. We outlined a list of potential factors to emphasize the broad range of participant experiences we might gather through the HCD process, rather than to propose a hypothesis for change based on our solutions. This perspective was especially pertinent to the unique circumstances faced by our target population. Given the strength of HCD in enabling designers to remain open to emerging ideas from participants while avoiding predefined hypotheses, we were able to capture diverse experiences and challenges related to service uptake. However, while the insights generated spanned multiple levels, we had to exclude some structural-level solutions due to resource constraints. These details are described in the “Development of HCD Solutions” section. We also added a sentence on our expected level of change to enhance clarity. 3. For those unfamiliar with Ethiopian geography, perhaps a figure or table could be used to show the relationship between regions, woredas, EAs, and PHCUs. To enhance the reader’s understanding of the Ethiopian administration and health system structure, we created Figure 1. 4. How many women were recruited by woredas ? How were the women chosen purposively for the midline interviews? Did/will interviewers go to the women's homes? Pregnant women were not recruited by woreda. Rather, the recruitment was done per enumeration areas as indicated in the “Recruitment” section. 5. What happened in the intervention if the husband wasn't home when the HDA arrived to deliver the intervention? The HDA first tried to reschedule the home visit, but if the husband was unavailable for an extended period, the HDA facilitated discussions with other household members. 6. How were women, husbands, & health workers compensated for HDA development, focus groups, and intervention home visits? Compensation for participants varied by type of study participant and level of participation. For pregnant women engaged in focus group discussions (FGDs), refreshments were provided during the discussions, and we covered their transportation expenses for traveling from home to the meeting hall. For pregnant women participating in survey interviews, we provided two bars of soap. However, no compensation was offered to healthcare providers, as the interviews were conducted at their offices during their regular working hours. 7. Why wasn't the pretest included in Phase 2? The Phase 2 HCD solutions will be tested with two target populations (pregnant women and implementers). View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Levandowski BA. Peer Review Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17642.r38028) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v1#referee-response-38028 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Isangula K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 06 Sep 2024 | for Version 1 Kahabi Isangula , School of Nursing and Midwifery, The Aga Khan University, Dar Es Salaam, Tanzania; Muhimbili Research Centre, National Institute for Medical Reasearch, Dar Es Salaam, Tanzania 0 Views copyright © 2024 Isangula K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Thank you for the opportunity to review the article titled "Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women Through a Human-Centered Design Process: Study Protocol for a Quasi-Experimental Study in Oromia, Ethiopia," submitted to this journal. The topic is highly relevant, and the innovative use of human-centered design (HCD) is expected to produce solutions that are both practical and widely accepted by pregnant women. I have a few suggestions to improve the manuscript: 1. Title: The title appears misleading and may need revision to clarify that the quasi-experimental design pertains specifically to one aspect of the HCD process—prototype validation—and not the entire HCD methodology. The early phases of HCD, such as co-design, may not involve a quasi-experimental design. If the protocol covers the entire HCD process, I suggest a title such as: "Co-Designing and Evaluating Solutions for Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women: Study Protocol for Human-Centered Design in Oromia, Ethiopia." If the protocol only covers the solution implementation phase, I suggest a title such as: "Evaluating Co-Designed Solutions for Enhancing Maternal Health Service Utilization Among Highly Vulnerable Pregnant Women: Study Protocol for a Quasi-Experimental Study in Oromia, Ethiopia." 2. Abstract: Background: The objective is somewhat unclear. Is the aim to co-design and evaluate solutions, or to evaluate solutions that have already been co-designed? The latter implies that the solutions have been developed prior to the proposed study. If the latter is true, please clarify. Methods: Significant restructuring is needed. The authors should briefly explain how the solutions will be developed using HCD before they are evaluated. Summarize the HCD steps, participants, and the process leading up to the validation study. It should also be clarified whether the solutions will be tested within the same population in which they were developed. Conclusions: While a sequential approach is mentioned, it is not adequately described in the methods summary. Additionally, include a sentence about the expected prototypes and how the solutions are anticipated to impact practice and policy. 3. Introduction Given that HCD is used to address complex problems: (1) Highlight the complex interplay of factors influencing antenatal care (ANC) uptake among pregnant women; (2) Examine existing interventions aimed at addressing these factors, identifying the gaps that HCD can address; and (3) Explain why solutions designed through HCD are expected to drive meaningful changes. If the solutions already exist, explain what are they and how they were developed 4. Objectives: Please refer to the comments on the abstract regarding the objective. The HCD component—its iterative steps, objectives of each step, participants, and how each step builds on the previous one—is not clearly reflected in the objectives. The authors should also clarify whether they plan to refine the solution based on findings from the quasi-experimental study. It may be helpful to refer to previous studies, such as Isangula K et a. (2022 [Ref - 1]) https://pubmed.ncbi.nlm.nih.gov/35797107/ OR Isangula K et al. (2023 [Ref-2] https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-023-01472-w . 5. Methods Although HCD seems to be the backbone of this study, the description of how the solutions will be (or were) co-designed through HCD is insufficient. The focus appears to be more on the implementation/validation phase rather than the full HCD process. I recommend providing a detailed description of the HCD component used for solution development—its iterative steps, the objectives of each step, the participants involved, and how each step builds on the previous one. My understanding is that a community-based quasi-experimental design is being employed. If the solutions have already been developed, as suggested in the description of phase 1, the authors need to elaborate on how these solutions were reached through the HCD process during phase 1 The paragraphs regarding the baseline survey, phase 1, and subsequent paragraphs are quite confusing. While HCD is mentioned, it’s unclear how it was implemented. I recommend providing a clearer explanation of the HCD process in phase 1, detailing how it was carried out, the participants of each step and their recruitments, the specific steps taken, and how it informed the development of the solutions. In summary, while the description of the experimental study itself is okay, a significant restructuring of the methods section is necessary to ensure clarity, coherence, and proper alignment with fundamental HCD principles. 6. Discussion The authors should elaborate on the expected results and explain how these will be compared to findings from previous studies. 7. Conclusion Please add a conclusion section. Expand on the content from the abstract, emphasizing how the findings are expected to inform both practice and policy. I believe these suggestions will result into improved and clear protocol. Is the rationale for, and objectives of, the study clearly described? Partly Is the study design appropriate for the research question? Partly Are sufficient details of the methods provided to allow replication by others? Partly Are the datasets clearly presented in a useable and accessible format? Not applicable References 1. Isangula K, Shumba C, Pallangyo ES, Mbekenga C, et al.: Strengthening Interpersonal Relationships in Maternal and Child Health Care in Rural Tanzania: Protocol for a Human-Centered Design Intervention. JMIR Res Protoc . 2022; 11 (7): e37947 PubMed Abstract | Publisher Full Text 2. Isangula K, Pallangyo ES, Ndirangu-Mugo E: Interventions co-designed by healthcare providers and clients for improving therapeutic relationships in maternal and child healthcare: a pilot study using human centered design in rural Tanzania. BMC Nurs . 2023; 22 (1): 314 PubMed Abstract | Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise Maternal and child health, health service research, and human centred design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 18 Dec 2024 Daryl Stephens, Department of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, 21215, USA We are grateful to the reviewers for their thorough review of this manuscript. We provide descriptions about how we have modified the paper following point-by-point response below. 1. Title We appreciate the author’s helpful suggestion. We have revised the title of our paper as follows: “Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study” 2. Abstract Background: Solutions were already developed for Phase 1, and solutions for Phase 2 are under development. As our protocol covers both the development and evaluation processes, we have revised our study objective in the Background section of Abstract accordingly. Methods: We appreciate the reviewer’s suggestion. We have reconfigured the Methods section in the Abstract by study phase to enhance the reader’s understanding of our two-phased design. Given the word limit in the Abstract, we have provided detailed HCD procedures in the main text. Conclusions: We have clarified the sequential approach along with our finalized solutions in the Methods section. We have also added a sentence about our expected implications for practice and policy in the Conclusions and Implications section. 3. Introduction We have added a paragraph to the Introduction section, detailing HCD’s potential in addressing multilevel factors of health issues and its application in prior interventions. We also described why HCD would be particularly useful for our study. 4. Objectives To enhance the understanding of our study objectives, we divided our objectives into intervention development and intervention evaluation. Our study objectives remain at the overall study design level, rather than within the HCD process, which we described in the Methods section more in detail. 5. Methods A detailed description of the HCD process, including participants recruitment, testing, and solution finalization were added on the “HCD workshop procedure” and “Development of HCD solutions” sections. Throughout these sections, HCD goals and methods for in Phases 1 and 2 have been clarified. In terms of structure, the overall Methods section is organized to follow a quasi-experimental trial designed to evaluate HCD solutions. The trial description includes information about both intervention and control arms, pertaining to sample, study design, data collection, and setting for the trial. All HCD-related information is provided under the “Intervention” section. Since our HCD activities only occurred for the intervention arm, we believe this structure aligns with the overall flow of this paper. 6. Discussion We added a paragraph in the Discussion section to address this important issue. See paragraph, “In any given population,….” 7. Conclusion We appreciate the author’s suggestion to highlight the practice and policy implications of our study. We added a conclusion section at the end of our manuscript. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Isangula K. Peer Review Report For: Developing and evaluating human-centered design solutions for enhancing maternal health service utilization among vulnerable pregnant women in Oromia, Ethiopia: Study protocol for a quasi-experimental study [version 3; peer review: 1 approved, 2 approved with reservations] . Gates Open Res 2025, 8 :93 ( https://doi.org/10.21956/gatesopenres.17642.r37886) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://gatesopenresearch.org/articles/8-93/v1#referee-response-37886 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Stay Updated Sign up for content alerts and receive a weekly or monthly email with all newly published articles Register with Gates Open Research Already registered? Sign in Not now, thanks close PLEASE NOTE If you are an AUTHOR of this article, please check that you signed in with the account associated with this article otherwise we cannot automatically identify your role as an author and your comment will be labelled as a “User Comment”. If you are a REVIEWER of this article, please check that you have signed in with the account associated with this article and then go to your account to submit your report, please do not post your review here. If you do not have access to your original account, please contact us . All commenters must hold a formal affiliation as per our Policies . The information that you give us will be displayed next to your comment. User comments must be in English, comprehensible and relevant to the article under discussion. We reserve the right to remove any comments that we consider to be inappropriate, offensive or otherwise in breach of the User Comment Terms and Conditions . Commenters must not use a comment for personal attacks. When criticisms of the article are based on unpublished data, the data should be made available. I accept the User Comment Terms and Conditions Please confirm that you accept the User Comment Terms and Conditions. Affiliation ✕ refresh Please enter your institution. Note: To add your institution or organisation, start typing the name and then select the correct name from the list. Where applicable, the name will appear in both the original language and in English. Do not paste in the name. If the name does not appear in the drop-down list, we will display the information you have entered. ✕ refresh Country/Region * USA UK Canada China France Germany Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Cote d'Ivoire Croatia Cuba Cyprus Czech Republic Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Federated States of Micronesia Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo (Serbia and Montenegro) Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Minor Outlying Islands of the United States Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea North Macedonia Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Is South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand The Gambia The Netherlands Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu UK USA Uganda Ukraine United Arab Emirates United States Virgin Islands Uruguay Uzbekistan Vanuatu Venezuela Vietnam Wallis and Futuna West Bank and Gaza Strip Western Sahara Yemen Zambia Zimbabwe Please select your country/region. You must enter a comment. Competing Interests Please disclose any competing interests that might be construed to influence your judgment of the article's or peer review report's validity or importance. Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Please state your competing interests The comment has been saved. An error has occurred. Please try again. Cancel Post var lTitle = "Developing and evaluating human-centered...".replace("'", ''); var linkedInUrl = "http://www.linkedin.com/shareArticle?url=https://gatesopenresearch.org/articles/8-93/v3" + "&title=" + encodeURIComponent(lTitle) + "&summary=" + encodeURIComponent('Read the article by '); var deliciousUrl = "https://del.icio.us/post?url=https://gatesopenresearch.org/articles/8-93/v3&title=" + encodeURIComponent(lTitle); var redditUrl = "http://reddit.com/submit?url=https://gatesopenresearch.org/articles/8-93/v3" + "&title=" + encodeURIComponent(lTitle); linkedInUrl += encodeURIComponent('Kang BA et al.'); var offsetTop = /chrome/i.test( navigator.userAgent ) ? 4 : -10; var addthis_config = { ui_offset_top: offsetTop, services_compact : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_expanded : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_custom : [ { name: "LinkedIn", url: linkedInUrl, icon:"/img/icon/at_linkedin.svg" }, { name: "Mendeley", url: "http://www.mendeley.com/import/?url=https://gatesopenresearch.org/articles/8-93/v3/mendeley", icon:"/img/icon/at_mendeley.svg" }, { name: "Reddit", url: redditUrl, icon:"/img/icon/at_reddit.svg" }, ] }; var addthis_share = { url: "https://gatesopenresearch.org/articles/8-93", templates : { twitter : "Developing and evaluating human-centered design solutions for.... Kang BA et al., published by " + "Gates Open Research" + ", https://gatesopenresearch.org/articles/8-93/v3" } }; if (typeof(addthis) != "undefined"){ addthis.addEventListener('addthis.ready', checkCount); addthis.addEventListener('addthis.menu.share', checkCount); } $(".f1r-shares-twitter").attr("href", "https://twitter.com/intent/tweet?text=" + addthis_share.templates.twitter); $(".f1r-shares-facebook").attr("href", "https://www.facebook.com/sharer/sharer.php?u=" + addthis_share.url); $(".f1r-shares-linkedin").attr("href", addthis_config.services_custom[0].url); $(".f1r-shares-reddit").attr("href", addthis_config.services_custom[2].url); $(".f1r-shares-mendelay").attr("href", addthis_config.services_custom[1].url); function checkCount(){ setTimeout(function(){ $(".addthis_button_expanded").each(function(){ var count = $(this).text(); if (count !== "" && count != "0") $(this).removeClass("is-hidden"); else $(this).addClass("is-hidden"); }); }, 1000); } close How to cite this report {{reportCitation}} Cancel Copy Citation Details $(function(){R.ui.buttonDropdowns('.dropdown-for-downloads');}); $(function(){R.ui.toolbarDropdowns('.toolbar-dropdown-for-downloads');}); $.get("/articles/acj/16277/17708") new F1000.Clipboard(); new F1000.ThesaurusTermsDisplay("articles", "article", "17708"); $(document).ready(function() { $( "#frame1" ).on('load', function() { var mydiv = $(this).contents().find("div"); var h = mydiv.height(); console.log(h) }); var tooltipLivingFigure = jQuery(".interactive-living-figure-label .icon-more-info"), titleLivingFigure = tooltipLivingFigure.attr("title"); tooltipLivingFigure.simpletip({ fixed: true, position: ["-115", "30"], baseClass: 'small-tooltip', content:titleLivingFigure + " " }); tooltipLivingFigure.removeAttr("title"); $("body").on("click", ".cite-living-figure", function(e) { e.preventDefault(); var ref = $(this).attr("data-ref"); $(this).closest(".living-figure-list-container").find("#" + ref).fadeIn(200); }); $("body").on("click", ".close-cite-living-figure", function(e) { e.preventDefault(); $(this).closest(".popup-window-wrapper").fadeOut(200); }); $(document).on("mouseup", function(e) { var metricsContainer = $(".article-metrics-popover-wrapper"); if (!metricsContainer.is(e.target) && metricsContainer.has(e.target).length === 0) { $(".article-metrics-close-button").click(); } }); var articleId = $('#articleId').val(); if($("#main-article-count-box").attachArticleMetrics) { $("#main-article-count-box").attachArticleMetrics(articleId, { articleMetricsView: true }); } }); var figshareWidget = $(".new_figshare_widget"); if (figshareWidget.length > 0) { window.figshare.load("f1000", function(Widget) { // Select a tag/tags defined in your page. In this tag we will place the widget. _.map(figshareWidget, function(el){ var widget = new Widget({ articleId: $(el).attr("figshare_articleId") //height:300 // this is the height of the viewer part. [Default: 550] }); widget.initialize(); // initialize the widget widget.mount(el); // mount it in a tag that's on your page // this will save the widget on the global scope for later use from // your JS scripts. This line is optional. //window.widget = widget; }); }); } close Error Close Add Reset F1000.MICROSERVICES.AFFILIATION = ''; $(document).ready(function () { $('.js-affiliations-form').each((index, form) => { new AffiliationForm({ formId: form.id, institutionErrorSelector: '.comment-enter-institution', departmentErrorSelector: '.comment-enter-department', placeSelector: '.js-add-comment-place', stateSelector: '.js-add-comment-state', zipCodeSelector: '.js-add-comment-zipcode', countrySelector: '.js-add-comment-country', countryErrorSelector: '.comment-enter-country', }); }); }); $(document).ready(function () { var reportIds = { "39168": 0, "37888": 0, "39169": 0, "39170": 0, "39171": 0, "39172": 0, "38020": 0, "39173": 0, "38021": 0, "39174": 0, "38022": 0, "39175": 0, "38023": 0, "38024": 0, "38025": 0, "38026": 0, "38027": 0, "38028": 23, "38029": 0, "39448": 0, "39449": 0, "39450": 0, "39451": 0, "39452": 0, "39453": 0, "39454": 0, "39455": 0, "39456": 0, "39457": 12, "39458": 0, "39337": 0, "39338": 0, "39339": 0, "39340": 0, "39341": 0, "39342": 0, "39343": 0, "39344": 0, "39345": 0, "39238": 0, "39239": 0, "39240": 0, "39241": 0, "39370": 0, "39242": 0, "39371": 0, "39243": 19, "39372": 0, "39244": 0, "39373": 0, "39245": 0, "39374": 0, "39246": 0, "39375": 0, "39247": 0, "39376": 0, "39377": 0, "39378": 0, "39379": 0, "39154": 9, "39155": 13, "39285": 0, "39286": 0, "39287": 0, "37879": 0, "39288": 0, "37880": 0, "39289": 0, "37881": 0, "39290": 0, "37882": 0, "39291": 0, "37883": 0, "39292": 0, "37884": 0, "39293": 0, "37885": 0, "39166": 0, "39294": 0, "37886": 32, "39167": 0, "37887": 0, }; $(".referee-response-container,.js-referee-report").each(function(index, el) { var reportId = $(el).attr("data-reportid"), reportCount = reportIds[reportId] || 0; $(el).find(".comments-count-container,.js-referee-report-views").html(reportCount); }); var uuidInput = $("#article_uuid"), oldUUId = uuidInput.val(), newUUId = "fd9d53d3-5fd9-4bde-a9e3-4ba5790bc8a0"; uuidInput.val(newUUId); $("a[href*='article_uuid=']").each(function(index, el) { var newHref = $(el).attr("href").replace(oldUUId, newUUId); $(el).attr("href", newHref); }); }); Are you a Gates-funded researcher? If you are a previous or current Gates grant holder, sign up for information about developments, publishing and publications from Gates Open Research. First Name * You must provide your first name Last Name * You must provide your last name Email * You must provide a valid email address Institution You must provide an institution. Submit Thank you! We'll keep you updated on any major new updates to Gates Open Research Gates Open Research Browse Gateways How to Publish About Contact Legal For Developers Cookie Notice Privacy Notice RSS Submit via VeriXiv © F1000 Research Limited and its licensors ISSN 2572-4754 var F1000platform = new F1000.Platform({ name: "gates", displayName: "Gates Open Research", hostName: "gatesopenresearch.org", id: "3", editorialEmail: "[email protected]", infoEmail: "[email protected]", usePmcStats: true }); Sign In Remember me Forgotten your password? Sign In Cancel Email or password not correct. Please try again Please wait... $(function(){ // Note: All the setup needs to run against a name attribute and *not* the id due the clonish // nature of facebox... $("a[id=googleSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("GOOGLE"); $("form[id=oAuthForm]").submit(); }); $("a[id=facebookSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("FACEBOOK"); $("form[id=oAuthForm]").submit(); }); $("a[id=orcidSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("ORCID"); $("form[id=oAuthForm]").submit(); }); }); If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password. The email address should be the one you originally registered with F1000. Email address not valid, please try again You registered with F1000 via Google, so we cannot reset your password. To sign in, please click here . If you still need help with your Google account password, please click here . You registered with F1000 via Facebook, so we cannot reset your password. To sign in, please click here . If you still need help with your Facebook account password, please click here . Code not correct, please try again Reset password Cancel Email us for further assistance. Server error, please try again. If your email address is registered with us, we will email you instructions to reset your password. If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance. Please wait... Register $(document).ready(function () { signIn.createSignInAsRow($("#sign-in-form-gfb-popup")); $(".target-field").each(function () { var uris = $(this).val().split("/"); if (uris.pop() === "login") { $(this).val(uris.toString().replace(",","/")); } }); });

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-4.0