Improving non-communicable disease screening behaviours: A systematic review of intervention studies

preprint OA: closed CC-BY-NC-ND-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

ABSTRACT Background Non-communicable disease screening programs are a key public health activity to improve primary prevention. However, there are few examples of successful screening programs at scale and participation in existing screening programs broadly, is known to be suboptimal. This systematic review aimed to identify interventions associated with increased participation in non-communicable disease risk factor screening among adults. Methods Using three online databases, a systematic search of English language peer-reviewed journal articles was performed. Articles quantitatively examining person-centric interventions to increase non-communicable disease screening among adults without existing disease diagnosis were eligible. Results Sixty-three studies spanning 23 countries and over 407000 observations were included. Non-communicable disease screening outcomes of breast cancer (n=14), bowel/colorectal cancer (n=30), cardiovascular disease (n=1), cervical cancer (n=14), heart health check [diabetes/hypertension] (n=1), health check (n=2), lung cancer (n=2), and melanoma (n=1) were observed. Five categories of intervention, comprised of 23 differing approaches, were determined for the promotion of non-communicable disease screening: invitation , education , nudge , navigation , and self-affirmation interventions. Of these interventions, the provision of patient navigator support, telephone-based promotion, written invitations to screen, and face-to-face/workplace education were the most consistently associated with greater screening engagement. Conclusion This systematic review is the first to detail screening behaviour interventions spanning multiple research disciplines and a range of non-communicable diseases. Four intervention methods were identified to be consistently associated with greater non-communicable disease screening engagement among adults. Many studies presented stand-alone interventional techniques; this siloed approach may limit interventional effect compared to a multi-pronged approach. To maximise likelihood of effectiveness, future interventions to increase non-communicable disease screening should consider combined approaches utilising the consistently effective interventions identified in this review.
Full text 85,103 characters · extracted from preprint-html · click to expand
Improving non-communicable disease screening behaviours: A systematic review of intervention studies | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (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];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-P4HH5NV'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Improving non-communicable disease screening behaviours: A systematic review of intervention studies View ORCID Profile Jack T. Evans , Ananta Neelim , Seana Gall , Robert Hoffmann , Swee Hoon Chuah doi: https://doi.org/10.1101/2025.07.21.25331449 Jack T. Evans 1 Menzies Institute for Medical Research, University of Tasmania , Australia Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jack T. Evans For correspondence: jack.evans{at}utas.edu.au Ananta Neelim 2 Tasmanian Behavioural Lab, University of Tasmania , Australia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Seana Gall 1 Menzies Institute for Medical Research, University of Tasmania , Australia 3 School of Clinical Sciences, Monash University , Australia Roles: Adjunct Professor Find this author on Google Scholar Find this author on PubMed Search for this author on this site Robert Hoffmann 2 Tasmanian Behavioural Lab, University of Tasmania , Australia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Swee Hoon Chuah 2 Tasmanian Behavioural Lab, University of Tasmania , Australia Find this author on Google Scholar Find this author on PubMed Search for this author on this site Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF ABSTRACT Background Non-communicable disease screening programs are a key public health activity to improve primary prevention. However, there are few examples of successful screening programs at scale and participation in existing screening programs broadly, is known to be suboptimal. This systematic review aimed to identify interventions associated with increased participation in non-communicable disease risk factor screening among adults. Methods Using three online databases, a systematic search of English language peer-reviewed journal articles was performed. Articles quantitatively examining person-centric interventions to increase non-communicable disease screening among adults without existing disease diagnosis were eligible. Results Sixty-three studies spanning 23 countries and over 407000 observations were included. Non-communicable disease screening outcomes of breast cancer (n=14), bowel/colorectal cancer (n=30), cardiovascular disease (n=1), cervical cancer (n=14), heart health check [diabetes/hypertension] (n=1), health check (n=2), lung cancer (n=2), and melanoma (n=1) were observed. Five categories of intervention, comprised of 23 differing approaches, were determined for the promotion of non-communicable disease screening: invitation , education , nudge , navigation , and self-affirmation interventions. Of these interventions, the provision of patient navigator support, telephone-based promotion, written invitations to screen, and face-to-face/workplace education were the most consistently associated with greater screening engagement. Conclusion This systematic review is the first to detail screening behaviour interventions spanning multiple research disciplines and a range of non-communicable diseases. Four intervention methods were identified to be consistently associated with greater non-communicable disease screening engagement among adults. Many studies presented stand-alone interventional techniques; this siloed approach may limit interventional effect compared to a multi-pronged approach. To maximise likelihood of effectiveness, future interventions to increase non-communicable disease screening should consider combined approaches utilising the consistently effective interventions identified in this review. INTRODUCTION Non-communicable diseases (NCDs) including cancer, diabetes, and cardiovascular diseases account for a large proportion of disease burden worldwide ( 1 ). The early identification of these diseases, or their risk factors, is a key strategy to enhance primary prevention of NCDs ( 2 , 3 ). Screening programs identify people who are at risk or in the early stages of NCDs. The goal of such programs is early intervention and management to improve outcomes for people at high risk or in the early stage of NCDs. While NCD screening programs are suggested to be a key public health activity to improve the primary prevention of these diseases ( 2 ), there are few examples of successful screening programs at scale. Ideally, a screening program for an NCD or its risk factor would be implemented when there is a valid, reliable and cost-effective screening tool that can identify people at risk. These people can then be managed by treatment of the early-stage disease. Examples would include those for cancers including cervical cancer with pap-smear programs, breast cancer with mammograms, and colon cancer with faecal occult blood tests. There is interest in screening for cardiovascular diseases (CVD) because its major risk factors, such as blood pressure, cholesterol, glucose, weight status, and smoking, can be measured using valid and reliable tools at relatively low cost, with at-risk people then managed through lifestyle changes or medication. Primary prevention guidelines for CVDs across regions discuss the importance of identification and management of CVD risk factors including through screening programs ( 4 – 6 ). Increasingly, CVD risk factors measured through this type of screening are input to risk algorithms that estimate a person’s absolute risk of CVD over a given period of time. People identified as being at ‘higher’ risk, which is variably defined across regions, can then make informed decisions with their health care provider about lifestyle changes and medications to reduce their CVD risk. Such programs may be opportunistic or systematic ( 4 ), with evidence from New Zealand and the United Kingdom that such screening programs improvements of risk factors for CVD but not a reduction in CVD events ( 7 ). Participation in existing NCD screening programs broadly, is known to be suboptimal. For example, less than 50% of people who are eligible to participate the Australian colorectal cancer screening program through a free faecal occult blood test return their test kits ( 8 ). In Australia, the federal government funded a ‘heart health check’ that provides a specific reimbursement for this type of comprehensive risk factor screening through primary care; However, analyses of use of this item in suggest that uptake has been low ( 9 ). In addition to this type of structured risk assessment, people may participate in opportunistic cardiovascular risk factor screening for individual risk factors. This may occur in primary care visits for other reasons, in another health care setting such as a pharmacy or in a workplace as part of health and wellbeing programs. Data from surveys that ask about this type of risk factor measurement, suggest that it is similarly low. For example, in the May Measure Month activity from the International Society for Hypertension, data in Australia demonstrates stagnating awareness, treatment and control rates over the last three-years ( 10 ). To reduce the burden of CVD we must encourage more people to participate in risk factor screening. Given the importance of participation in screening for NCD risk factors, there has been interest in how to get more people to engage in this activity. The purpose of this review is to identify and summarise the literature on interventions that have been designed to increase participation in NCD risk factor screening. While this study is interested in the context of CVD risk factor screening specifically, there is likely to be benefit of taking a broad approach to identifying studies across a wide range of NCD and their risk factors. METHODS This systematic review is registered on the PROSPERO International Prospective Register of Systematic reviews (Registration Number: CRD42024601673) and executed in compliance with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statements ( 11 , 12 ). Literature search An independent literature search for published journal articles examining interventions targeting engagement in health screening for NCDs was conducted by JE, using three online databases (Scopus, Taylor & Francis, and Embase via Ovid). Search terms were derived from a conceptual framework resultant of round table discussions among behavioural, economic, and cardiovascular researchers, private health fund representatives, cardiologists, and general practitioners (available upon request). English language peer-reviewed journal articles were considered for inclusion. Systematic reviews, scoping reviews, study protocols, books, book chapters, theses and non-scholarly sources were removed via restriction of search parameters and exclusion during screening. Literature search results were be imported to a Covidence (systematic review management software) library ( 13 ) where duplicates will first be removed, then screening performed. Study inclusion and exclusion criteria Studies were included within this systematic review provided they: a) examined adults (>18 years), b) were English language peer-reviewed journal articles, c) were person-centric intervention studies (interventional exposure), d) examined NCD screening outcomes, and e) were comprised of non-diseased populations. Studies were excluded if: a) they examined communicable disease screening / non-screening engagement outcomes, b) were non-English language, observational studies, reviews, protocols, books, theses, and non-scholarly sources, c) interventions targeted primary health or practitioners, d) used self-assessment screening, or e) interventions based upon or targeting populations with prior risk-screening or practitioner exposure. Data extraction and analysis Search results were first screened for inclusion at the title/abstract level. The articles considered for inclusion underwent assessment of the full text. JE screened all texts; secondary screening was divided among co-authors. Final inclusion discrepancies between independent reviewers were discussed among the reviewing authors with any unresolved inclusion/exclusion disputes moderated by SG. Quality assessment The quality of studies included was assessed via modified National Heart Lung and Blood Institute (NHLBI) Quality Assessment of Controlled Intervention Studies and Pre-Post Studies with No Control Group tools ( 14 ) (Appendix 1). Studies were categorised as good, as fair, and as poor quality. Studies with a ‘poor’ quality rating were excluded from the final data extraction and analysis. RESULTS Study characteristics The search of online databases yielded 5318 studies. As presented within the PRISMA flowchart ( Figure 1 ), 768 duplicates were removed, leaving 4550 manuscripts for abstract and title-level screening. Of these, 197 manuscripts were included in the full text screening. After removing 134 irrelevant studies, 63 underwent data extraction and were included in this systematic review. Download figure Open in new tab Figure 1. PRISMA flowchart of study inclusions Studies included within this review are summarised in Appendix 2. Sixty-three studies spanning 23 countries and over 407000 observations were represented. Reported study sample sizes ranged from 42 to 229459 participants. Quality and risk of bias assessment Assessments of quality are presented within the supplementary material (Appendix 2). Of the 63 manuscripts that underwent data extraction, none were ranked as low quality/high bias risk, 23 were rated as fair quality and 40 were rated as good quality when assessed using a modified NHLBI scale. Non-communicable screening interventions NCD screening outcomes of breast cancer (n=14), bowel/colorectal cancer (n=30), cardiovascular disease (n=1), cervical cancer (n=14), heart health check [diabetes/hypertension] (n=1), health check (n=2), lung cancer (n=2), and melanoma (n=1) were observed. A number of invitation, education, behavioural-economic, nudge, media, and navigator-based interventions were shown to be associated with NCD screening. These associations are summarised in Table 1 . View this table: View inline View popup Download powerpoint Table 1. Summary of relationships between interventions and non-communicable disease screening Invitations and correspondence-based interventions Altered correspondence (invitations) was assessed among 25 studies ( 15 – 39 ), examining whether the modification of letters, video, and/or text messaging was associated with greater screening behaviours for breast, cervical and colorectal cancer and general health. Generally, the provision of invitations and reminder letters was observed to increase health checks and cervical and colorectal cancer screening participation compared to controls in which no outreach was performed ( 15 – 18 ). However, the delivery of invitations to ’newly invited’ participants, emphasising the benefits of screening, was associated with a 40% decrease in odds of colorectal cancer screening participation ( 19 ). Accessibility Four studies examined the accessibility of invitations on screening uptake ( 20 – 23 ). Translated literature and language support was positively associated with breast cancer screening uptake in one among ethnic women ( 20 ). In contrast, another study found no-significant difference in cervical cancer screening rates between participants that received a translated invitations verse those that did not ( 21 ). One study found the use of a more succinct statement was not associated with a change in breast cancer screening uptake compared with standard messaging ( 22 ). Another study showed a shortened message containing behavioural instruction and a personal salience focus yielded higher rates of health check screening compared to usual letters ( 23 ). Endorsement Six studies examined the effect of general practitioner endorsement of invitations on screening behaviours ( 20 , 22 , 24 , 27 – 29 ), three of which found there to be a positive association for breast, cervical, and colorectal cancer ( 20 , 24 , 27 ). Conversely, two studies found correspondence with general practitioner endorsement to have no significant difference in participating in screening for breast and colorectal cancer compared to those without ( 28 , 29 ). Similarly, the inclusion of official logos of trusted national health insurance bodies did not associate with differences in screening uptake for breast cancer ( 22 ). Invitations with financial incentives The inclusion of incentives within invitations was assessed among seven studies, with conflicting relationships observed ( 16 , 18 , 20 , 30 – 33 ). Three studies observed the inclusion of financial incentives [USD$10 - $100 ( 16 , 30 , 31 )] in invitations to be associated with greater screening rates than those without. Positive associations were observed among personalised invitations and text messaging with voucher ( 16 ), cash ( 30 , 31 ), and loss-framed incentives (incentive only upon screening completion, with non-screening depicted as financial loss) ( 31 ). However, two studies observed no association between financial incentives and colorectal cancer screening ( 32 , 33 ). Text messaging accompanied by cash lottery incentives was not found to significantly differ from text messaging alone ( 32 ). Similarly, no difference was observed between participants receiving mail only, mail and monetary incentives, and mail and lottery incentive groups ( 33 ). Text messaging behaviour change communication was associated with positive uptake of screening, with additional provision of travel e-vouchers to attend screening further increasing cervical cancer screening behaviours ( 18 ). Conversely, no significant difference in screening rate was observed when offers of transportation to breast cancer screening centres was included with invitations ( 20 ). Invitations with a behavioural-economics approach or addition Behavioural-economic approaches within invitations were observed to be positively associated with screening rates in five studies ( 34 – 38 ). Four studies observed there to be no-significant association ( 19 , 22 , 24 , 39 ). The use of a tailored communication in which women were directly addressed and invited to perform screening for breast and cervical cancer at a particular location at a particular time was associated with a higher screening uptake compared to rates observed in prior years ( 34 ). One study found that compared to the non-active control and usual care groups, participants that received a mailed tailored intervention (invitation, information and pages included brief messages addressing screening barriers) or a tailored intervention plus a phone call (screening encouraged by trained health educator) observed greater screening rates for colorectal cancer ( 36 ). Similarly, the modification of invitations to leverage behavioural economics principles (e.g., implied scarcity and choice architecture, selection, ownership via language such as “your” rather than “the”, cost-benefits of screening) was associated with greater colorectal cancer screening compared to use of control invitations describing screening options ( 37 ). Another study mailed motivational letters that were developed to address barriers to screening and prevention and affordability beliefs in rural populations ( 35 ) - compared to controls in which a usual care invitational letter, intervention participants had significantly greater screening for colorectal cancer. Gender specific messaging One study showed gender-specific invitations (letters) were associated with higher odds of colorectal cancer screening amongst men compared with unisex messaging, which was in turn greater than no invitation controls ( 17 ). Further, screening rates were greater amongst women that received unisex (gendered statements included) invites compared with those that received standard letters, or no invitation at all. Gain and loss-framed messaging Gain and loss-framing of correspondence was assessed among three studies ( 24 – 26 ). Two studies observed both gain-framed messaging and loss-framed messaging to correlate with greater breast and cervical cancer screening uptake compared with neutral controls ( 24 , 25 ). Conversely, one study showed no difference in general health screening behaviours between either gain-framed or loss-framed messaging compared with neutral controls ( 26 ). Notably, two studies observed loss-framed video messaging to associate with higher breast and cervical cancer screening uptake compared with gain-framed messages ( 24 , 25 ). Social norm framing Another study examined the implementation of behavioural economic inspired messaging approaches (i.e. minority norm, normative feedback, and a combination thereof) were compared with standard invitation letter controls ( 38 ). Participants that received normative feedback messaging (providing feedback about non-participation to increase awareness of their own behaviour and highlight screening importance) were also observed to have higher rates of colorectal cancer screening compared to controls. Participants that received a minority norm framed message (messaging informing them that they are part of the minority that does not follow the social norm and undertake screening, to encourage participation) were observed to have greater screening rates compared to controls. Similarly, participant that received combined minority and normative feedback messaging also observed greater screening rates than controls. The greatest intervention effect was observed within the minority norm framed intervention. Conversely, four studies found social norm framing to not be associated with screening ( 19 , 22 , 24 , 39 ). One study observed the social norm framing that provided information of other people’s screening to not be associated with greater breast cancer screening rates compared to those of controls ( 22 ). Another study examined the effect of three behavioural interventions against a standard control invitation, invitations contained: a prompt (indicating intended screening date), the promotion of social norms (that others screen and continue to screen), and the benefits of screening. No intervention was found to yield significant differences in colorectal cancer screening behaviour compared to controls ( 19 ). A SMS invitation with loss or gain framing and SMS with social norm framing was not associated with differences in cervical cancer screening compared with controls receiving no SMS ( 24 ). A final study showed the implementation of volitional (assist with decision making and likely barriers) and/or motivation (social norms based) intervention in addition to the distribution of standard invitational and educational material to not significantly alter colorectal cancer screening rates compared to controls in which only invitational and educational material were supplied ( 39 ). Educational interventions The effect of educational interventions on screening behaviours was examined among 25 studies ( 15 , 40 – 63 ). These studies spanned a wide range of screening behaviours including breast, cervical, colorectal, lung, and skin cancer as well as cardiovascular disease. Educational brochures/leaflets Interventions involving the provision of educational brochures and leaflets were examined among eight studies ( 15 , 40 – 46 ). One study observed the inclusion of education material in invitations was associated with greater odds of cervical cancer screening compared to controls that did not receive any materials ( 15 ); another study observed no significant difference ( 40 ). Notably, the inclusion of an educational brochure was associated with lower odds of screening than receiving an invitation only in one study of cervical cancer screening behaviour ( 41 ). However, compared to receiving invitations and one-on-one education, the inclusion of an education brochure was associated with higher cervical cancer screening rates ( 41 ). Among four studies, educational leaflets highlighting the importance of risk factors, early detection and early treatment were not significantly associated with changes in breast, colorectal, and lung cancer screening outcomes compared to controls in which no education material was received ( 42 – 45 ). One study examined differences between individual education of women and individual education of women and an education brochure provided to the spouse found no significant difference in the odds of undertaking breast cancer screening ( 46 ). Participants that received evidence-based educational material to facilitate greater informed choice had higher rates of colorectal cancer screening than those that received standard information ( 64 ). Educational videos Educational video interventions were examined among five studies ( 47 – 51 ). Two studies observed there were no significant differences in screening rates between participants that received tailored educational videos for breast, cervical, or colorectal cancer compared to standard care (no video) ( 47 , 48 ). Similarly, another study observed no difference in lung cancer screening behaviours between participants who received an education booklet and those that received an educational booklet and video ( 49 ). Conversely, one study found that rural Latina participants that received home-based educational videos had higher cervical cancer screening rates compared with participants that did not receive any videos ( 50 ). The final study observed that an educational video to improve knowledge and compliance with screening resulted in a higher rate of colorectal cancer screening compared with participants that watched a non-medical, neutral video of comparative length ( 51 ). Face-to-face education The effect of home based, face-to-face education session was examined among four studies ( 50 , 52 – 54 ), of which three observed there to be an association with greater breast and cervical cancer screening behaviours compared with controls in which no education was delivered ( 50 , 52 , 53 ) and controls in which only education materials were supplied ( 50 ). Home based education interventions were observed be association with greater cardiovascular disease screening among Singaporean participants residing in rental flat housing, compared to those that were owner occupiers ( 54 ). Group educational sessions The effect of group-based educational sessions was examined among five studies ( 46 , 55 – 58 ). One study found participants educated in a group had higher rates of breast cancer screening verses those educated individually ( 46 ). Another found the provision of interventions including group education and reminder phone calls was associated with greater cervical cancer screening uptake compared to controls in which no education occurred ( 55 ). Three studies observed group-based education to not be associated with greater breast and cervical cancer screening uptake ( 56 – 58 ), compared to no education. Further, one study showed there to be no significant difference in cervical cancer screening rates between participants that received group education and those that received telephone follow-ups and navigation assistance ( 58 ). Workplace and community education The effect of workplace (n=2) and community (n=1) educational interventions on NCD screening was assessed among three studies ( 59 – 61 ). One study found that compared to standard programs of letters and flyers the provision of additional educational material (booklet and invitation) was associated with greater colorectal cancer screening compliance ( 59 ). Another study showed participants that received only general cancer education had lower breast cancer screening uptake compared to those that also received screening navigation in the workplace ( 60 ). A three-year community education program was associated with higher melanoma screening rates among those that took place, compared to those that did not ( 61 ). Culturally targeted education Two studies assessed the effect of a culturally targeted educational intervention ( 62 , 63 ). One found colorectal cancer screening rates among a sample of Hawaiians did not differ among controls that received culturally targeted education from non-native health professionals compared to participants that received culturally targeted educations from native health professionals ( 62 ). Another examined a mobile web app-based intervention in which American Indian participants received personalised and culturally appropriate messages to address knowledge and barriers to breast cancer screening engagement; compared to controls that received an educational brochure only, significantly greater engagement with screening was observed among intervention recipients ( 63 ). Nudge intervention delivery Telephone and text-messaging Nudge and educational messaging received via phone was assessed among eight studies ( 29 , 36 , 65 – 70 ). Colorectal cancer screening behaviours were greater among participants undertaking telephone-based education and nudge messaging compared to controls that received nothing ( 65 – 67 ). Similarly, educational and nudge-based text messaging was associated with increased breast cancer screening rates compared to those in the no text messaging arm ( 29 ). One study observed no significant difference in colorectal cancer screening among those receiving telephone motivational interviewing verses non-active controls ( 66 ), while another showed the additional of a phone call to invitations and educational material yielded greater colorectal cancer screening rates ( 68 ). Further, one study demonstrated an increase in screening rates following an intervention in which participants received a composite intervention of text message nudges, education, and digital navigator support for breast cancer screening booking ( 70 ). Compared with computer assisted screening counselling, telephone-based motivational interviewing was observed to yield higher rates of colorectal screening compliance ( 69 );further, participants that received a supportive phone call in addition to a tailored intervention (brief messages addressing screening barriers) had higher screening rates than those that only received the tailored intervention ( 36 ). Face-to-face One study found face-to-face health promotion and motivational interviewing was associated with greater colorectal cancer screening uptake compared with controls that received no intervention ( 65 ). Conversely, one study observed there to be no difference in colorectal cancer screening behaviours between those with face-to-face contact and those without ( 67 ). Written nudges One study found written briefings (nudge-based messaging) were associated with higher colorectal cancer screening levels compared with non-active controls ( 67 ). Media campaigns The effect of media campaigns on screening behaviours was examined among three studies ( 71 – 73 ). Large scale, multi-week media campaigns were observed to be associated with greater colorectal cancer screening uptake ( 71 , 72 ). Campaigns undertaken in specific states of Australia, utilised paid 30-second television advertising and other supportive campaign elements had national exposure, including print, four-minute television advertorials, digital and online advertising. Comparison of screening rates between states in which mass media intervention occurred and controls found an increase in screening rates among the intervention group. Similarly, assessment of campaign and non-campaign periods among the intervention groups observed screening rates to be higher when the campaign was undertaken ( 71 , 72 ). Comparatively, the mass distribution of a photo-comic and radio-drama to increase screening uptake observed varying effect. While the distribution of an informative photo-comic was not associated with differing cervical cancer screening rates, the use of an educational radio-drama intervention was associated with greater screening rates ( 73 ). Patient navigation The effect of patient navigation access and support on screening uptake was assessed among eight studies ( 33 , 47 , 48 , 58 , 60 , 74 – 76 ). Support from patient navigators were associated with higher rates of breast and colorectal cancer screening compliance compared to participants receiving standard care ( 47 , 48 ), screening reminders ( 33 ), educational sessions ( 60 , 74 ), or personalised website interventions ( 75 ). Further, compared to tailored educational videos, the provision of videos and in home navigation support was associated with an increase in likelihood of colorectal cancer screening ( 48 ). One study observed no difference in cervical cancer screening rates between those with navigator support and those undertaking education ( 58 ). One study assessed the effect of an intervention consisting of mHealth education (via website, video, and brochure) and community navigation (messaging and phone calls addressing barriers and concerns). Compared to controls that received a phone call educating them to disease risk and early detection importance, mHealth and navigation intervention participants were observed to have significantly higher breast cancer screening participation ( 76 ). Affirmations The effects of a self-affirmation intervention on screening were assessed by one study ( 77 ). Value-based questionnaires designed to elicit affirmations were not associated with a difference in colorectal cancer screening behaviours compared with active controls (non-affirmation questionnaire) and non-active controls (leaflet only). Similarly, health-based questionnaires (not addressing the disease) did not associate with differing screening levels compared to controls. DISCUSSION This systematic review is the first to detail screening behaviour interventions of a range of NCDs across multiple research disciplines. Within the 63 studies included in this synthesis, five categories of intervention, comprised of 23 differing approaches, were determined for the promotion of NCD screening: invitation , education , nudge , navigation , and self-affirmation interventions. Of these interventions, the provision of patient navigator support, telephone-based promotion, written invitations to screen, and face-to-face/workplace education were the most consistently associated with greater screening engagement. By establishing a comprehensive synthesis of NCD screening interventions, we gain interventional and behavioural insights that facilitate the development of more informed interventions and programmes targeting screening that may be applied to other, yet to be addressed, diseases (e.g. cardiovascular). The development of a core framework of screening interventions for application to numerous NCDs may yield improved health outcomes including earlier detection of risk factors and conditions, enabling timely interventions that prevent or mitigate the progression of disease. Invitations We observed the provision of invitations to be consistently and positively associated with greater levels of screening. These findings are consistent with those of literature examining invitations to screen in fields external to this review (e.g., screening completion using at home fecal occult blood tests ( 78 )). Supported by prior studies ( 79 ), this review observed evidence that invitations may be enhanced using behavioural-economic principles (e.g., addressing barriers and promoting choice ownership) to subsequently improve screening uptake. However, in line with previous findings ( 80 ), the inclusion of a financial incentive was not observed to yield consistent associations with screening – though few studies including financial incentives for NCD screening were available for inclusion in this review. Notably, one study within this review observed invitations that highlighted the importance of regular screening to be associated with lower screening likelihood among those newly invited to the program ( 19 ). As this messaging may be frame screening as an ongoing and burdensome undertaking, invitations incorporating behavioural-economic and nudge-based principles may yield more favourable results. Furthermore, this review did not determine a consistent relationship between endorsement from GP’s/ health providers and screening rates, with positive and non-significant relationships observed. These findings add to the already conflicting literature surrounding the effect of endorsement to invitations for screening ( 81 , 82 ) – further research among NCD screening outcomes is recommended. Education This systematic review observed educational interventions to be a feasible and effective method of increasing NCD screening rates ( 50 , 52 – 54 , 59 – 61 ). Educational interventions enhance an individuals’ ability to appraise health information, navigate the healthcare system, recognise the importance of screening, and subsequently utilise available services ( 83 ). Health education therefore, plays an important role in the prevention, diagnosis, and treatment of NCD ( 84 ). These interventions may be performed via a variety of approaches, using differing mediums such as printed material, consultation, lectures, discussions, and workshops ( 85 ). Within this synthesis, face-to-face education, provided either one-on-one or to groups in community and workplace settings, was consistently positively associated with greater levels of screening ( 50 , 52 – 54 , 59 – 61 ). However, a consistent relationship was not observed between the inclusion of written educational material within screening invitations and the performance of screening itself. Prior literature supports our findings that face-to-face education may be an effective intervention to increase the uptake of NCD screening ( 86 , 87 ). It is suggested that face-to-face education may be effective in promoting health behaviours as it increases participation in educational activities ( 88 ), and allows for a more accurate assessment of participant needs ( 89 ). Further, the consistently observed positive relationship between group education is supported by the findings of prior reviews amongst at risk populations ( 90 ). It is suggested that group educational sessions, undertaken in community and workplace settings (as observed in our results) may influence screening behaviours not just through the presentation of information, but also through the interactions of participants with one-another. These interactions may influence participants’ screening attitudes and behaviours by reinforcing social norms, affirming self-identity through supportive peers, and facilitating comprehension of health concepts and health system navigation through simple discussions ( 90 , 91 ). Nudge-based interventions Nudge interventions influence an individuals’ behaviour towards an outcome by altering their social and physical environment or presenting information in such a way that the decision-making to undertake the desired behaviour is guided through strategic design and subtle cues. This nudging of the participant towards an outcome (e.g., screening) is resultantly achieved without actively restricting their choices ( 92 ). This systematic review observed the delivery of nudge interventions through mHealth based (telephone calls and text messaging ( 29 , 36 , 65 – 70 ) and mass-media campaigns ( 71 – 73 )) to be consistently associated with greater levels of NCD screening. mHealth based nudges, specifically, nudges delivered via text message have been effective in many healthcare interventions including screening ( 24 , 93 , 94 ). While few studies within this review examined the role of media-based interventions, their findings are reflective of those amongst external literature. Prior systematic reviews have shown the effect of mass-media coverage on the promotion of health services utilisation (screening, immunisation, emergency and mental health) and various health-risk behaviours (smoking, alcohol, sex-related) to be consistently positive, though with mixed magnitude ( 95 , 96 ). Much of these interventions’ success may be attributed to their capacity to consistently convey clear, behaviourally oriented messages in an incidental manner to extensive audiences over prolonged periods of time ( 96 ). Nudges have proven effective in modifying health behaviour among those with lower literacy skills and have been shown to reduce inequities in behaviour between advantaged and disadvantaged groups ( 97 , 98 ). Despite being criticised for small effect magnitude ( 99 ), nudges provide a cost-effective and scalable means of promoting desirable health behaviours at a population level ( 100 ). Patient navigation The results of this review highlight a significant, positive impact of patient navigation on the uptake of screening for NCDs. Across eight studies ( 33 , 47 , 48 , 58 , 60 , 74 – 76 ), patient navigation support was consistently associated with higher rates of compliance for breast and colorectal cancer screening compared to standard care, screening reminders, educational sessions, or personalized website interventions alone. These findings align with previous studies ( 101 – 103 ) reporting patient navigation’s success in enhancing screening rates, and subsequently, treatment initiation (including participants recruited and referred from within clinical settings). Interventions combining education with screening navigation have shown favourable results, reinforcing participants’ decision-making abilities and self-efficacy ( 104 ). Furthermore, reviews have shown that patient navigation interventions tailored to ethnic minorities or disadvantaged groups can significantly improve care, disease screening, and transitional care for chronic conditions ( 105 ). It must be noted that patient navigation services may contribute greatly to interventional costs and may not be utilised by all patients/participants ( 75 , 105 ). Our findings support patient navigation as a valuable strategy to enhance screening uptake for NCDs. By providing education, resources, encouragement, and support, patient navigators play a crucial role in ensuring understanding of screening information, addressing emotional, logistical, and system-level barriers, and ultimately promoting behavioural (and screening) change ( 106 , 107 ). Self-affirmations While the findings of this review suggest a negative association between self-affirmation cues and NCD screening, little literature on this relationship (one study ( 77 )) was captured due to the specificity of search inclusion criteria. Individuals at high-risk of detrimental health conditions are more liable to be overly critical when processing health and screening information as a defensive reaction to lessen their perceived seriousness of the potential or present health threat to self ( 108 , 109 ) – subsequently this reducing likelihood of undertaking screening behaviours and disease recognition. It is suggested that self-affirmation reduces the defensive reactions to the often-threatening messages associated with health and disease awareness campaigns ( 109 ). Resultantly, affirmation increases acceptance of health message acceptance and subsequent health intent and actions – though meta-analysis has found these relationships low in magnitude ( 110 ). Similar positive findings have been observed in the assessment of affirmation and likelihood of accepting risk feedback during screening for a fictitious disease ( 111 ). Additionally, self-affirmation promotion has been observed to increase self-use of online type-2 diabetes risk assessments ( 112 ). Further research into the role of self-affirmation cues in interventions to promote NCD screening is recommended to determine utility. Strength and limitations Only English language, peer-reviewed journal articles were included in this systematic review, resulting in the exclusion of grey-literature and non-English studies. Further, only studies examining NCD screening were considered due potential differences in existing screening structures and perceived threat compared with NCD outcomes. While this provides greater specificity to this study’s findings and their applicability to the development of future cardiovascular disease screening interventions, a variety of communicable disease screening interventions are excluded. Screening and quality assessment was performed independently by two authors, minimising selection bias and strengthening this review’s study inclusion reliability ( 113 ). The limited number of studies within examining each intervention coupled with varying sample sizes may have resulted in this review misclassifying interventional effects as inconsistent. Heterogeneity in NCD outcomes, interventions, and measurement techniques across studies made meta-analysis inappropriate. Future studies should consider meta-analysis were applicable. Heterogeneity was also present among the countries in which studies were performed – this may have led to variations in findings due to differing health literacy levels, government support, and social and individual perspectives on health screening and primary prevention. Nonetheless, the multinational nature of this review is a strength, providing broader insights and generalisability. Future directions Participation in health promotion and screening programs may be explained in accordance with a variety of behavioural frameworks such as the Theory of Planned Behaviour ( 114 ), the Health Belief Model ( 115 ), and Social Cognitive Theory ( 116 ). These frameworks highlight key factors of behavioural intention, perceived control, consequences, barriers, and norms in the health decision pathway ( 117 , 118 ). In line with these frameworks, the findings of this review present a range of interventional approaches that address these areas through invitation, education, nudges, navigation, and affirmation. However, some areas could not be addressed due to the strict inclusion/exclusion criteria set by our study. One such area is around motivated attention, which posit that individuals avoid actively health related information that generate negative anticipatory feelings associated with future negative health outcomes. While self-affirmation has been shown to decrease avoidance, studies using hypothetical health choices have shown that information avoidance can be reduced through (i) active contemplation about the importance of the health information in question ( 119 ) (ii) control over the treatability of the disease is highlighted ( 120 , 121 ) (iii) psychological need to whetting curiosity is fulfilled ( 122 – 124 ). In the future, investigating whether these results extend to actual behaviour change in the context of screening could be tested. In this study, we find that many of the included studies utilise one or few interventional techniques and may not address all areas of theoretical frameworks listed above. This siloed approach may limit interventional effect compared to a multi-pronged approach utilising the consistently effective interventions highlighted in this review. It is therefore recommended that those developing future interventions to increase NCD screening consider combined interventional approaches to maximise potential effectiveness. CONCLUSION This systematic review is the first to detail screening behaviour interventions spanning multiple research disciplines and a range of NCD types. This synthesis of the literature provides critical interventional and behavioural insights, facilitating the development of more informed screening interventions targeting individuals yet to engage with primary health care. The provision of patient navigator support, telephone-based promotion, written invitations to screen, and face-to-face/workplace education were identified to be consistently associated with greater engagement NCD screening among adults. Many studies presented stand-alone interventional techniques; this siloed approach may limit interventional effect compared to a multi-pronged approach. To maximise likelihood of effectiveness, future interventions to increase NCD screening should consider combined approaches utilising the consistently effective interventions identified in this review. Data Availability All data produced in the present work are contained in the manuscript. APPENDICES Appendix 1 – Modified NHLBI quality assessment tool Appendix 2 – Summary and quality assessment of included studies. ACKNOWLEDGEMENTS This work was financially supported by St Lukes Health Insurance. SG (108524) is supported by a National Heart Foundation of Australia Future Leader Fellowship. Funding bodies and sponsors played no role in the study design, analysis, data interpretation or production of this systematic review manuscript. The authors declare no conflict of interest. REFERENCES 1. ↵ World Health Organization . Noncommunicable diseases: World Health Organization ; 2023 [Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases . 2. ↵ Budreviciute A , Damiati S , Sabir DK , Onder K , Schuller-Goetzburg P , Plakys G , et al. Management and Prevention Strategies for Non-communicable Diseases (NCDs) and Their Risk Factors . Front Public Health . 2020 ; 8 : 574111 . OpenUrl PubMed 3. ↵ Mikkelsen B , Williams J , Rakovac I , Wickramasinghe K , Hennis A , Shin H-R , et al. Life course approach to prevention and control of non-communicable diseases . BMJ . 2019 ; 364 : l257 . OpenUrl FREE Full Text 4. ↵ Visseren FLJ , Mach F , Smulders YM , Carballo D , Koskinas KC , Bäck M , et al. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice: Developed by the Task Force for cardiovascular disease prevention in clinical practice with representatives of the European Society of Cardiology and 12 medical societies With the special contribution of the European Association of Preventive Cardiology (EAPC) . European Heart Journal . 2021 ; 42 ( 34 ): 3227 – 337 . OpenUrl CrossRef PubMed 5. Arnett Donna K , Blumenthal Roger S , Albert Michelle A , Buroker Andrew B , Goldberger Zachary D , Hahn Ellen J , et al. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease . Journal of the American College of Cardiology . 2019 ; 74 ( 10 ): e177 – e232 . OpenUrl FREE Full Text 6. ↵ National Heart Foundation of Australia . Australian Guideline for assessing and managing cardiovascular disease risk . 2023 . 7. ↵ Eriksen CU , Rotar O , Toft U , Jørgensen T . What is the effectiveness of systematic population-level screening programmes for reducing the burden of cardiovascular diseases? : World Health Organization. Regional Office for Europe ; 2021 . 8. ↵ Dasgupta P , Cameron JK , Goodwin B , Cramb SM , Mengersen K , Aitken JF , et al. Geographical and spatial variations in bowel cancer screening participation, Australia, 2015– 2020 . PLOS ONE . 2023 ; 18 ( 7 ): e0288992 . OpenUrl PubMed 9. ↵ Chapman N , Otahal P , Bonner C , Nelson M , Sharman J . Uptake of the Australian Heart Health Check before and after the COVID-19 pandemic outbreak . Australian Journal for General Practitioners . 2023 ; 52 : 266 – 33 . OpenUrl 10. ↵ Carnagarin R , Nolde JM , Yang J , Marques FZ , Picone DS , Lambert GW , et al. Stagnating rates of blood pressure control in Australia: insights from opportunistic screening of 10l046 participants of the May Measurement Month campaigns . J Hypertens . 2023 ; 41 ( 4 ): 632 – 7 . OpenUrl PubMed 11. ↵ Moher D , Liberati A , Tetzlaff J , Altman DG , Group P . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement . BMJ . 2009 ; 339 : b2535 . OpenUrl FREE Full Text 12. ↵ Stroup DF , Berlin JA , Morton SC , Olkin I , Williamson G , Rennie D . Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group . The Journal of the American Medical Association . 2000 ; 238 ( 15 ): 2008 – 20012 . OpenUrl 13. ↵ Covidence systematic review software . Melbourne, Australia Veritas Health Innovation . 14. ↵ National Heart, Lung, and Blood Institute. Study Quality Assessment Tools . National Heart, Lung, and Blood Institute: National Institute of Health ; 2021 [Available from: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools . 15. ↵ Tavasoli SM , Pefoyo AJ , Hader J , Lee A , Kupets R . Impact of invitation and reminder letters on cervical cancer screening participation rates in an organized screening program . Prev Med . 2016 ; 88 : 230 – 6 . OpenUrl PubMed 16. ↵ de Walque D , Chukwuma A , Ayivi-Guedehoussou N , Koshkakaryan M . Invitations, incentives, and conditions: A randomized evaluation of demand-side interventions for health screenings . Soc Sci Med . 2022 ; 296 : 114763 . OpenUrl PubMed 17. ↵ Tinmouth J , Llovet D , Sutradhar R , Tsiplova K , Roushani J , Lee A , et al. Two randomized controlled trials for colorectal cancer screening invitations developed using a behavioral science approach . Prev Med . 2022 ; 155 : 106918 . OpenUrl PubMed 18. ↵ Erwin E , Aronson KJ , Day A , Ginsburg O , Macheku G , Feksi A , et al. SMS behaviour change communication and eVoucher interventions to increase uptake of cervical cancer screening in the Kilimanjaro and Arusha regions of Tanzania: a randomised, double-blind, controlled trial of effectiveness . BMJ Innov . 2019 ; 5 ( 1 ): 28 – 34 . OpenUrl Abstract / FREE Full Text 19. ↵ Stoffel S , Benito L , Mila N , Travier N , Binefa G , Vidal C , et al. Testing behavioral interventions to optimize participation in a population-based colorectal cancer screening program in Catalonia, Spain . Prev Med . 2019 ; 119 : 58 – 62 . OpenUrl PubMed 20. ↵ Bell TS , Branston LK , Newcombe RG , Barton GR . Interventions to improve uptake of breast screening in inner city Cardiff general practices with ethnic minority lists . Ethn Health . 1999 ; 4 ( 4 ): 277 – 84 . OpenUrl CrossRef PubMed 21. ↵ Del Mar C , Glasziou P , Adkins P , Hua T , Brown M . Do personalised letters in Vietnamese increase cervical cancer screening among Vietnamese women? Aust N Z J Public Health . 1998 ; 22 ( 7 ): 824 – 5 . OpenUrl PubMed Web of Science 22. ↵ Goldzahl L , Hollard G , Jusot F . Increasing breast-cancer screening uptake: A randomized controlled experiment . J Health Econ . 2018 ; 58 : 228 – 52 . OpenUrl PubMed 23. ↵ Sallis A , Bunten A , Bonus A , James A , Chadborn T , Berry D . The effectiveness of an enhanced invitation letter on uptake of National Health Service Health Checks in primary care: a pragmatic quasi-randomised controlled trial . BMC Fam Pract . 2016 ; 17 : 35 . OpenUrl PubMed 24. ↵ Huf S , Kerrison RS , King D , Chadborn T , Richmond A , Cunningham D , et al. Behavioral economics informed message content in text message reminders to improve cervical screening participation: Two pragmatic randomized controlled trials . Prev Med . 2020 ; 139 : 106170 . OpenUrl CrossRef PubMed 25. ↵ Schneider TR , Salovey P , Apanovitch AM , Pizarro J , McCarthy D , Zullo J , et al. The effects of message framing and ethnic targeting on mammography use among low-income women . Health Psychol . 2001 ; 20 ( 4 ): 256 – 66 . OpenUrl CrossRef PubMed Web of Science 26. ↵ Gold N , Durlik C , Sanders JG , Thompson K , Chadborn T . Applying behavioural science to increase uptake of the NHS Health Check: a randomised controlled trial of gain- and loss-framed messaging in the national patient information leaflet . BMC Public Health . 2019 ; 19 ( 1 ): 1519 . OpenUrl PubMed 27. ↵ Lewis CL , Brenner AT , Griffith JM , Pignone MP . The uptake and effect of a mailed multi-modal colon cancer screening intervention: a pilot controlled trial . Implement Sci . 2008 ; 3 : 32 . OpenUrl CrossRef PubMed 28. ↵ Barthe J , Perrodeau E , Gilberg S , Ravaud P , Ghasarossian C , Marchand-Buttin F , et al. Impact of a Doctor’s Invitation on Participation in Colorectal Cancer Screening: A Cluster Randomized Trial . Am J Med . 2015 ; 128 ( 9 ): 1024 e1 – 7 . OpenUrl 29. ↵ Mehta SJ , Rhodes C , Linn KA , Reitz C , McDonald C , Okorie E , et al. Behavioral Interventions to Improve Breast Cancer Screening Outreach: Two Randomized Clinical Trials . JAMA Intern Med . 2024 ; 184 ( 7 ): 761 – 8 . OpenUrl PubMed 30. ↵ Mehta SJ , Feingold J , Vandertuyn M , Niewood T , Cox C , Doubeni CA , et al. Active Choice and Financial Incentives to Increase Rates of Screening Colonoscopy-A Randomized Controlled Trial . Gastroenterology . 2017 ; 153 ( 5 ): 1227 – 9 e2. OpenUrl PubMed 31. ↵ Mehta SJ , Reitz C , Niewood T , Volpp KG , Asch DA . Effect of Behavioral Economic Incentives for Colorectal Cancer Screening in a Randomized Trial . Clin Gastroenterol Hepatol . 2021 ; 19 ( 8 ): 1635 – 41 e1. OpenUrl PubMed 32. ↵ Mehta SJ , Oyalowo A , Reitz C , Dean O , McAuliffe T , Asch DA , et al. Text messaging and lottery incentive to improve colorectal cancer screening outreach at a community health center: A randomized controlled trial . Prev Med Rep . 2020 ; 19 : 101114 . OpenUrl PubMed 33. ↵ Green BB , Anderson ML , Cook AJ , Chubak J , Fuller S , Kimbel KJ , et al. Financial Incentives to Increase Colorectal Cancer Screening Uptake and Decrease Disparities: A Randomized Clinical Trial . JAMA Netw Open . 2019 ; 2 ( 7 ): e196570 . OpenUrl 34. ↵ Savicka V , Circene I . Behaviour change interventions in breast and cervical cancer screening promotion . Information Sciences / Informacijos Mokslai . 2020 ; 87 : 86 – 99 . OpenUrl 35. ↵ Hirko KA , Lennon SA , Lucas T , Miller DC , Jimbo M , Leibfritz SJ , et al. Improving Colorectal Cancer Screening in a Rural Setting: A Randomized Study . Am J Prev Med . 2020 ; 59 ( 3 ): 404 – 11 . OpenUrl PubMed 36. ↵ Myers RE , Sifri R , Hyslop T , Rosenthal M , Vernon SW , Cocroft J , et al. A randomized controlled trial of the impact of targeted and tailored interventions on colorectal cancer screening . Cancer . 2007 ; 110 ( 9 ): 2083 – 91 . OpenUrl CrossRef PubMed Web of Science 37. ↵ Bakr O , Afsar-Manesh N , Raja N , Dermenchyan A , Goldstein NJ , Shu SB , et al. Application of Behavioral Economics Principles Improves Participation in Mailed Outreach for Colorectal Cancer Screening . Clin Transl Gastroenterol . 2020 ; 11 ( 1 ): e00115 . OpenUrl 38. ↵ Gorini G , Betti E , Stoffel S , Falini P , Iossa A , Senore C , et al. Testing behavioral economics messages to increase non-responders’ participation in organized colorectal cancer-screening programs: A randomized controlled trial . Prev Med . 2023 ; 174 : 107615 . OpenUrl PubMed 39. ↵ Wilding S , Tsipa A , Branley-Bell D , Greenwood DC , Vargas-Palacios A , Yaziji N , et al. Cluster randomized controlled trial of volitional and motivational interventions to improve bowel cancer screening uptake: A population-level study . Soc Sci Med . 2020 ; 265 : 113496 . OpenUrl PubMed 40. ↵ Eaker S , Adami HO , Granath F , Wilander E , Sparen P . A large population-based randomized controlled trial to increase attendance at screening for cervical cancer . Cancer Epidemiol Biomarkers Prev . 2004 ; 13 ( 3 ): 346 – 54 . OpenUrl Abstract / FREE Full Text 41. ↵ Kurt G , Akyuz A . Evaluating the Effectiveness of Interventions on Increasing Participation in Cervical Cancer Screening . J Nurs Res . 2019 ; 27 ( 5 ): e40 . OpenUrl PubMed 42. ↵ Yoshida M , Kondo K , Nakanishi C , Tada T . Interventional study for improvement of lung cancer screening rate . J Med Invest . 2012 ; 59 ( 1-2 ): 127 – 35 . OpenUrl PubMed 43. Montero-Moraga JM , Posso M , Roman M , Buron A , Sala M , Castells X , et al. Effect of an information leaflet on breast cancer screening participation: A cluster randomized controlled trial . BMC Public Health . 2021 ; 21 ( 1 ): 1301 . OpenUrl PubMed 44. Basch CE , Zybert P , Wolf RL , Basch CH , Ullman R , Shmukler C , et al. A Randomized Trial to Compare Alternative Educational Interventions to Increase Colorectal Cancer Screening in a Hard-to-Reach Urban Minority Population with Health Insurance . J Community Health . 2015 ; 40 ( 5 ): 975 – 83 . OpenUrl PubMed 45. ↵ Melvin CL , Vines AI , Deal AM , Pierce HO , Carpenter WR , Godley PA . Implementing a small media intervention to increase colorectal cancer screening in primary care clinics . Transl Behav Med . 2019 ; 9 ( 4 ): 605 – 16 . OpenUrl PubMed 46. ↵ Seven M , Akyuz A , Robertson LB . Interventional Education Methods for Increasing Women’s Participation in Breast Cancer Screening Program . J Cancer Educ . 2015 ; 30 ( 2 ): 244 – 52 . OpenUrl PubMed 47. ↵ Champion VL , Monahan PO , Stump TE , Biederman EB , Vachon E , Katz ML , et al. The Effect of Two Interventions to Increase Breast Cancer Screening in Rural Women . Cancers (Basel ). 2022 ; 14 ( 18 ). 48. ↵ Vachon EA , Katz ML , Rawl SM , Stump TE , Emerson B , Baltic RD , et al. Comparative effectiveness of two interventions to increase colorectal cancer screening among females living in the rural Midwest . J Rural Health . 2024 ; 40 ( 4 ): 610 – 22 . OpenUrl PubMed 49. ↵ Ruparel M , Quaife SL , Ghimire B , Dickson JL , Bhowmik A , Navani N , et al. Impact of a Lung Cancer Screening Information Film on Informed Decision-making: A Randomized Trial . Ann Am Thorac Soc . 2019 ; 16 ( 6 ): 744 – 51 . OpenUrl PubMed 50. ↵ Thompson B , Carosso EA , Jhingan E , Wang L , Holte SE , Byrd TL , et al. Results of a randomized controlled trial to increase cervical cancer screening among rural Latinas . Cancer . 2017 ; 123 ( 4 ): 666 – 74 . OpenUrl PubMed 51. ↵ Gimeno-Garcia AZ , Quintero E , Nicolas-Perez D , Parra-Blanco A , Jimenez-Sosa A . Impact of an educational video-based strategy on the behavior process associated with colorectal cancer screening: a randomized controlled study . Cancer Epidemiol . 2009 ; 33 ( 3-4 ): 216 – 22 . OpenUrl PubMed 52. ↵ Chigbu CO , Onyebuchi AK , Onyeka TC , Odugu BU , Dim CC . The impact of community health educators on uptake of cervical and breast cancer prevention services in Nigeria . Int J Gynaecol Obstet . 2017 ; 137 ( 3 ): 319 – 24 . OpenUrl CrossRef PubMed 53. ↵ Dhoj Shrestha A , Gyawali B , Shrestha A , Shrestha S , Neupane D , Ghimire S , et al. Effect of a female community health volunteer-delivered intervention to increase cervical cancer screening uptake in Nepal: a cluster randomized controlled trial . Prev Med Rep . 2022 ; 29 : 101948 . OpenUrl PubMed 54. ↵ Wee LE , Yee J , Lee S , Oen K , Tsang TY , Koh GC . Trends in health screening participation and lifestyle behaviours after participation in a free, access-enhanced screening intervention in a low-income Singaporean rental-flat community . Health Soc Care Community . 2020 ; 28 ( 2 ): 439 – 47 . OpenUrl PubMed 55. ↵ Altinel B , Akin B . The effect of multiple interventions for women at risk for cervical cancer on their health responsibility, beliefs regarding cervical cancer and having screening: a randomized controlled trial . Health Educ Res . 2022 ; 37 ( 2 ): 94 – 103 . OpenUrl PubMed 56. ↵ Rosser JI , Njoroge B , Huchko MJ . Changing knowledge, attitudes, and behaviors regarding cervical cancer screening: The effects of an educational intervention in rural Kenya . Patient Educ Couns . 2015 ; 98 ( 7 ): 884 – 9 . OpenUrl CrossRef PubMed 57. Ghaffari M , Rad TN , Mohammadi S , Rakhshanderou S . Effect of an Intervention on the Breast Cancer Screening Behavior in Women: Application of Integrated Behavioral Model . Int J Prev Med . 2018 ; 9 : 99 . OpenUrl PubMed 58. ↵ Wong CL , Choi KC , Law BMH , Chan DNS , So WKW . Effects of a Community Health Worker-Led Multimedia Intervention on the Uptake of Cervical Cancer Screening among South Asian Women: A Pilot Randomized Controlled Trial . Int J Environ Res Public Health . 2019 ; 16 ( 17 ). 59. ↵ Tilley BC , Vernon SW , Myers R , Glanz K , Lu M , Hirst K , et al. The Next Step Trial: impact of a worksite colorectal cancer screening promotion program . Prev Med . 1999 ; 28 ( 3 ): 276 – 83 . OpenUrl CrossRef PubMed Web of Science 60. ↵ Ma GX , Yin L , Gao W , Tan Y , Liu R , Fang C , et al. Workplace-based breast cancer screening intervention in china . Cancer Epidemiol Biomarkers Prev . 2012 ; 21 ( 2 ): 358 – 67 . OpenUrl Abstract / FREE Full Text 61. ↵ Janda M , Youl PH , Lowe JB , Baade PD , Elwood M , Ring IT , et al. What motivates men age > or =50 years to participate in a screening program for melanoma? Cancer . 2006 ; 107 ( 4 ): 815 – 23 . OpenUrl CrossRef PubMed Web of Science 62. ↵ Braun KL , Fong M , Kaanoi ME , Kamaka ML , Gotay CC . Testing a culturally appropriate, theory-based intervention to improve colorectal cancer screening among Native Hawaiians . Prev Med . 2005 ; 40 ( 6 ): 619 – 27 . OpenUrl CrossRef PubMed Web of Science 63. ↵ Roh S , Lee YS . Developing Culturally Tailored Mobile Web App Education to Promote Breast Cancer Screening: Knowledge, Barriers, and Needs Among American Indian Women . J Cancer Educ . 2023 ; 38 ( 4 ): 1224 – 33 . OpenUrl PubMed 64. ↵ Steckelberg A , Hulfenhaus C , Haastert B , Muhlhauser I . Effect of evidence based risk information on “informed choice” in colorectal cancer screening: randomised controlled trial . BMJ . 2011 ; 342 : d3193 . OpenUrl Abstract / FREE Full Text 65. ↵ Shankleman J , Massat NJ , Khagram L , Ariyanayagam S , Garner A , Khatoon S , et al. Evaluation of a service intervention to improve awareness and uptake of bowel cancer screening in ethnically-diverse areas . Br J Cancer . 2014 ; 111 ( 7 ): 1440 – 7 . OpenUrl CrossRef PubMed 66. ↵ Menon U , Belue R , Wahab S , Rugen K , Kinney AY , Maramaldi P , et al. A randomized trial comparing the effect of two phone-based interventions on colorectal cancer screening adherence . Ann Behav Med . 2011 ; 42 ( 3 ): 294 – 303 . OpenUrl CrossRef PubMed 67. ↵ Lopez-Torres Hidalgo J , Rabanales Sotos J , Simarro Herraez MJ , Lopez-Torres Lopez J , Campos Rosa M , Lopez Verdejo MA . Effectiveness of three interventions to improve participation in colorectal cancer screening . Rev Esp Enferm Dig . 2016 ; 108 ( 6 ): 315 – 22 . OpenUrl PubMed 68. ↵ Selva A , Tora N , Pascual E , Espinas JA , Bare M . Effectiveness of a brief phone intervention to increase participation in a population-based colorectal cancer screening programme: a randomized controlled trial . Colorectal Dis . 2019 ; 21 ( 10 ): 1120 – 9 . OpenUrl PubMed 69. ↵ Broc G , Denis B , Gana K , Gendre I , Perrin P , Pascual A . Impact of the telephone motivational interviewing on the colorectal cancer screening participation. A randomized controlled study . Eur Rev Appl Psychol . 2015 ; 65 ( 3 ): 133 – 42 . OpenUrl 70. ↵ de Ramirez S , McGarvey J , Lotz A , McGee M , Oderwald T , Floess K , et al. Closing the Gap: A Comparison of Engagement Interventions to Achieve Equitable Breast Cancer Screening in Rural Illinois . Popul Health Manag . 2022 ; 25 ( 2 ): 244 – 53 . OpenUrl PubMed 71. ↵ Durkin SJ , Broun K , Spittal MJ , Wakefield MA . Impact of a mass media campaign on participation rates in a National Bowel Cancer Screening Program: a field experiment . BMJ Open . 2019 ; 9 ( 1 ): e024267 . OpenUrl Abstract / FREE Full Text 72. ↵ Durkin S , Broun K , Guerin N , Morley B , Wakefield M . Impact of a mass media campaign on participation in the Australian bowel cancer screening program . J Med Screen . 2020 ; 27 ( 1 ): 18 – 24 . OpenUrl PubMed 73. ↵ Risi L , Bindman JP , Campbell OM , Imrie J , Everett K , Bradley J , et al. Media interventions to increase cervical screening uptake in South Africa: an evaluation study of effectiveness . Health Educ Res . 2004 ; 19 ( 4 ): 457 – 68 . OpenUrl CrossRef PubMed Web of Science 74. ↵ Castaneda SF , Bharti B , Espinoza-Giacinto RA , Sanchez V , O’Connell S , Munoz F , et al. Evaluating Two Evidence-Based Intervention Strategies to Promote CRC Screening Among Latino Adults in a Primary Care Setting . J Racial Ethn Health Disparities . 2018 ; 5 ( 3 ): 530 – 5 . OpenUrl PubMed 75. ↵ Paskett ED , Bernardo BM , Young GS , Katz ML , Reiter PL , Tatum CM , et al. Comparative Effectiveness of Two Interventions to Increase Colorectal Cancer Screening for Those at Increased Risk Based on Family History: Results of a Randomized Trial . Cancer Epidemiol Biomarkers Prev . 2020 ; 29 ( 1 ): 3 – 9 . OpenUrl Abstract / FREE Full Text 76. ↵ Schliemann D , Jamil ASA , Mohan D , Tan MM , Cardwell CR , Ismail R , et al. The development and evaluation of a mHealth, community education and navigation intervention to improve clinical breast examination uptake in Segamat Malaysia: A randomised controlled trial . PLoS One . 2023 ; 18 ( 10 ): e0288437 . OpenUrl PubMed 77. ↵ Travis E , Ashley L , O’Connor DB . Effects of a self-affirmation intervention on responses to bowel cancer screening information . Psychol Health . 2024 : 1 – 18 . 78. ↵ Gruner LF , Amitay EL , Heisser T , Guo F , Niedermaier T , Gies A , et al. The Effects of Different Invitation Schemes on the Use of Fecal Occult Blood Tests for Colorectal Cancer Screening: Systematic Review of Randomized Controlled Trials . Cancers . 2021 ; 13 ( 7 ): 1520 . OpenUrl PubMed 79. ↵ Bunten A , Porter L , Gold N , Bogle V . A systematic review of factors influencing NHS health check uptake: invitation methods, patient characteristics, and the impact of interventions . BMC Public Health . 2020 ; 20 ( 1 ): 93 . OpenUrl PubMed 80. ↵ Mauro M , Rotundo G , Giancotti M . Effect of financial incentives on breast, cervical and colorectal cancer screening delivery rates: Results from a systematic literature review . Health Policy . 2019 ; 123 ( 12 ): 1210 – 20 . OpenUrl CrossRef PubMed 81. ↵ Kaushal A , Hirst Y , Tookey S , Kerrison RS , Marshall S , Prentice A , et al. Use of a GP-endorsed non-participant reminder letter to promote uptake of bowel scope screening: A randomised controlled trial in a hard-to-reach population . Preventive Medicine . 2020 ; 141 : 106268 . OpenUrl PubMed 82. ↵ Dodd N , Carey M , Mansfield E , Oldmeadow C , Evans TJ . Testing the effectiveness of a general practice intervention to improve uptake of colorectal cancer screening: a randomised controlled trial . Australian and New Zealand Journal of Public Health . 2019 ; 43 ( 5 ): 464 – 9 . OpenUrl PubMed 83. ↵ Nutbeam D . Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century . Health Promotion International . 2000 ; 15 ( 3 ): 259 – 67 . OpenUrl CrossRef Web of Science 84. ↵ Sabates R , Feinstein L . The role of education in the uptake of preventative health care: The case of cervical screening in Britain . Social Science & Medicine . 2006 ; 62 ( 12 ): 2998 – 3010 . OpenUrl PubMed 85. ↵ Ampofo AG , Khan E , Ibitoye MB . Understanding the role of educational interventions on medication adherence in hypertension: A systematic review and meta-analysis . Heart & Lung . 2020 ; 49 ( 5 ): 537 – 47 . OpenUrl PubMed 86. ↵ Abiodun OA , Olu-Abiodun OO , Sotunsa JO , Oluwole FA . Impact of health education intervention on knowledge and perception of cervical cancer and cervical screening uptake among adult women in rural communities in Nigeria . BMC Public Health . 2014 ; 14 ( 1 ): 814 . OpenUrl PubMed 87. ↵ Brouwers MC , De Vito C , Bahirathan L , Carol A , Carroll JC , Cotterchio M , et al. What implementation interventions increase cancer screening rates? a systematic review . Implementation Science . 2011 ; 6 ( 1 ): 111 . OpenUrl PubMed 88. ↵ Marco-Fondevila M , Rueda-Tomás M , Latorre-Martínez MP . Active Participation and Interaction, Key Performance Factors of Face-to-Face Learning . Education Sciences . 2022 ; 12 ( 7 ): 429 . OpenUrl 89. ↵ Johnson CE , Keating JL , Leech M , Congdon P , Kent F , Farlie MK , et al. Development of the Feedback Quality Instrument: a guide for health professional educators in fostering learner-centred discussions . BMC Medical Education . 2021 ; 21 ( 1 ): 382 . OpenUrl PubMed 90. ↵ Rodríguez-Gómez M , Ruiz-Pérez I , Martín-Calderón S , Pastor-Moreno G , Artazcoz L , Escribà-Agüir V . Effectiveness of patient-targeted interventions to increase cancer screening participation in rural areas: A systematic review . International Journal of Nursing Studies . 2020 ; 101 : 103401 . OpenUrl PubMed 91. ↵ Altundag S , Bayat M . Peer Interaction and Group Education for Adaptation to Disease in Adolescents with Type 1 Diabetes Mellitus . Pak J Med Sci . 2016 ; 32 ( 4 ): 1010 – 4 . OpenUrl PubMed 92. ↵ Yoong SL , Hall A , Stacey F , Grady A , Sutherland R , Wyse R , et al. Nudge strategies to improve healthcare providers’ implementation of evidence-based guidelines, policies and practices: a systematic review of trials included within Cochrane systematic reviews . Implementation Science . 2020 ; 15 ( 1 ): 50 . OpenUrl PubMed 93. ↵ Uy C , Lopez J , Trinh-Shevrin C , Kwon SC , Sherman SE , Liang PS . Text Messaging Interventions on Cancer Screening Rates: A Systematic Review . J Med Internet Res . 2017 ; 19 ( 8 ): e296 . OpenUrl CrossRef PubMed 94. ↵ Kerrison RS , Shukla H , Cunningham D , Oyebode O , Friedman E . Text-message reminders increase uptake of routine breast screening appointments: a randomised controlled trial in a hard-to-reach population . British Journal of Cancer . 2015 ; 112 ( 6 ): 1005 – 10 . OpenUrl CrossRef PubMed 95. ↵ Grilli R , Ramsay C , Minozzi S . Mass media interventions: effects on health services utilisation . Cochrane Database of Systematic Reviews . 2002 ( 1 ). 96. ↵ Wakefield MA , Loken B , Hornik RC . Use of mass media campaigns to change health behaviour . The Lancet . 2010 ; 376 ( 9748 ): 1261 – 71 . OpenUrl CrossRef 97. ↵ Mrkva K , Posner NA , Reeck C , Johnson EJ . Do Nudges Reduce Disparities? Choice Architecture Compensates for Low Consumer Knowledge . Journal of Marketing . 2021 ; 85 ( 4 ): 67 – 84 . OpenUrl 98. ↵ Fajardo MA , Batcup C , Ayre J , McKinn S , Knight J , Raffoul N , et al. Could nudges reduce health literacy disparities in CVD prevention? An experiment using alternative messages for CVD risk assessment screening . Patient Education and Counseling . 2024 ; 123 : 108192 . OpenUrl PubMed 99. ↵ Mertens S , Herberz M , Hahnel UJJ , Brosch T . The effectiveness of nudging: A meta-analysis of choice architecture interventions across behavioral domains . Proceedings of the National Academy of Sciences . 2022 ; 119 ( 1 ): e2107346118 . OpenUrl Abstract / FREE Full Text 100. ↵ Murayama H , Takagi Y , Tsuda H , Kato Y . Applying Nudge to Public Health Policy: Practical Examples and Tips for Designing Nudge Interventions . International Journal of Environmental Research and Public Health . 2023 ; 20 ( 5 ): 3962 . OpenUrl 101. ↵ Freund KM , Battaglia TA , Calhoun E , Dudley DJ , Fiscella K , Paskett E , et al. National Cancer Institute Patient Navigation Research Program . Cancer . 2008 ; 113 ( 12 ): 3391 – 9 . OpenUrl CrossRef PubMed Web of Science 102. Robinson-White S , Conroy B , Slavish KH , Rosenzweig M . Patient Navigation in Breast Cancer: A Systematic Review . Cancer Nursing . 2010 ; 33 ( 2 ). 103. ↵ Chen M , Wu VS , Falk D , Cheatham C , Cullen J , Hoehn R . Patient Navigation in Cancer Treatment: A Systematic Review . Current Oncology Reports . 2024 ; 26 ( 5 ): 504 – 37 . OpenUrl PubMed 104. ↵ Chan RJ , Milch VE , Crawford-Williams F , Agbejule OA , Joseph R , Johal J , et al. Patient navigation across the cancer care continuum: An overview of systematic reviews and emerging literature . CA : A Cancer Journal for Clinicians . 2023 ; 73 ( 6 ): 565 - 89 . OpenUrl 105. ↵ Budde H , Williams GA , Winkelmann J , Pfirter L , Maier CB . The role of patient navigators in ambulatory care: overview of systematic reviews . BMC Health Services Research . 2021 ; 21 ( 1 ): 1166 . OpenUrl PubMed 106. ↵ Paskett ED , Harrop JP , Wells KJ . Patient navigation: An update on the state of the science . CA : A Cancer Journal for Clinicians . 2011 ; 61 ( 4 ): 237 – 49 . 107. ↵ Freeman HP . The Origin, Evolution, and Principles of Patient Navigation . Cancer Epidemiology, Biomarkers & Prevention . 2012 ; 21 ( 10 ): 1614 – 7 . OpenUrl FREE Full Text 108. ↵ Jemmott JB , Ditto PH , Croyle RT . Judging health status: Effects of perceived prevalence and personal relevance . Journal of Personality and Social Psychology . 1986 ; 50 ( 5 ): 899 – 905 . OpenUrl CrossRef PubMed Web of Science 109. ↵ Nan X , Iles I , Ma Z . Impact of Self-Affirmation on Responses to Health Warning Messages: Does Consideration of Future Consequences Matter? Health Communication . 2022 ; 37 ( 10 ): 1253 – 63 . OpenUrl PubMed 110. ↵ Sweeney AM , Moyer A . Self-affirmation and responses to health messages: A meta-analysis on intentions and behavior . Health Psychology . 2015 ; 34 ( 2 ): 149 – 59 . OpenUrl CrossRef PubMed 111. ↵ Howell JL , Shepperd JA . Reducing Information Avoidance Through Affirmation . Psychological Science . 2012 ; 23 ( 2 ): 141 – 5 . OpenUrl CrossRef PubMed 112. ↵ van Koningsbruggen GM , Das E . Don’t derogate this message! Self-affirmation promotes online type 2 diabetes risk test taking . Psychology & Health . 2009 ; 24 ( 6 ): 635 – 49 . OpenUrl PubMed 113. ↵ Waffenschmidt S , Knelangen M , Sieben W , Bühn S , Pieper D . Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review . BMC Medical Research Methodology . 2019 ; 19 ( 1 ): 132 . OpenUrl PubMed 114. ↵ Ajzen I , Schmidt P . Changing Behavior Using the Theory of Planned Behavior . In: Hagger MS , Cameron LD , Hamilton K , Hankonen N , Lintunen T , editors. The Handbook of Behavior Change. Cambridge Handbooks in Psychology . Cambridge : Cambridge University Press ; 2020 . p. 17 – 31 . 115. ↵ Rosenstock IM . The health belief model: Explaining health behavior through expectancies. Health behavior and health education: Theory, research, and practice . The Jossey-Bass health series . Hoboken, NJ, US : Jossey-Bass/Wiley ; 1990 . p. 39 – 62 . 116. ↵ Bandura A . Social foundations of thought and action . Englewood Cliffs, NJ . 1986 ; 1986 ( 23-28 ): 2 . OpenUrl 117. ↵ Noman S , Shahar HK , Abdul Rahman H , Ismail S , Abdulwahid Al-Jaberi M , Azzani M . The Effectiveness of Educational Interventions on Breast Cancer Screening Uptake, Knowledge, and Beliefs among Women: A Systematic Review . International Journal of Environmental Research and Public Health [Internet ]. 2021 ; 18 ( 1 ). 118. ↵ Lawal O , Murphy F , Hogg P , Nightingale J . Health Behavioural Theories and Their Application to Women’s Participation in Mammography Screening . Journal of Medical Imaging and Radiation Sciences . 2017 ; 48 ( 2 ): 122 – 7 . OpenUrl 119. ↵ Howell JL , Shepperd JA . Reducing Health-Information Avoidance Through Contemplation . Psychological Science . 2013 ; 24 ( 9 ): 1696 – 703 . OpenUrl CrossRef PubMed 120. ↵ Melnyk D , Shepperd JA . Avoiding risk information about breast cancer . Annals of Behavioral Medicine . 2012 ; 44 ( 2 ): 216 – 24 . OpenUrl CrossRef PubMed 121. ↵ Dawson E , Savitsky K , Dunning D . “Don’t Tell Me, I Don’t Want to Know”: Understanding People’s Reluctance to Obtain Medical Diagnostic Information . Journal of Applied Social Psychology . 2006 ; 36 ( 3 ): 751 – 68 . OpenUrl CrossRef 122. ↵ Horn S , Litovsky Y , Loewenstein G . Using curiosity to counter health information avoidance . Social Science & Medicine . 2024 ; 340 : 116383 . OpenUrl PubMed 123. Polman E , Ruttan RL , Peck J . Using curiosity to incentivize the choice of “should” options . Organizational Behavior and Human Decision Processes . 2022 ; 173 . 124. ↵ Kirgios E , Athey S , Duckworth AL , Karlan D , Luca M , Milkman KL , et al. Does Q&A Boost Engagement? Health Messaging Experiments in the U.S. and Ghana . National Bureau of Economic Research Working Paper Series . 2025 ; 33294 . View the discussion thread. Back to top Previous Next Posted July 23, 2025. Download PDF Supplementary Material Data/Code Email Thank you for your interest in spreading the word about medRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Improving non-communicable disease screening behaviours: A systematic review of intervention studies Message Subject (Your Name) has forwarded a page to you from medRxiv Message Body (Your Name) thought you would like to see this page from the medRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Improving non-communicable disease screening behaviours: A systematic review of intervention studies Jack T. Evans , Ananta Neelim , Seana Gall , Robert Hoffmann , Swee Hoon Chuah medRxiv 2025.07.21.25331449; doi: https://doi.org/10.1101/2025.07.21.25331449 Share This Article: Copy Citation Tools Improving non-communicable disease screening behaviours: A systematic review of intervention studies Jack T. Evans , Ananta Neelim , Seana Gall , Robert Hoffmann , Swee Hoon Chuah medRxiv 2025.07.21.25331449; doi: https://doi.org/10.1101/2025.07.21.25331449 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Epidemiology Subject Areas All Articles Addiction Medicine (567) Allergy and Immunology (863) Anesthesia (297) Cardiovascular Medicine (4411) Dentistry and Oral Medicine (443) Dermatology (380) Emergency Medicine (606) Endocrinology (including Diabetes Mellitus and Metabolic Disease) (1505) Epidemiology (15205) Forensic Medicine (30) Gastroenterology (1119) Genetic and Genomic Medicine (6574) Geriatric Medicine (666) Health Economics (994) Health Informatics (4511) Health Policy (1365) Health Systems and Quality Improvement (1608) Hematology (537) HIV/AIDS (1263) Infectious Diseases (except HIV/AIDS) (15903) Intensive Care and Critical Care Medicine (1103) Medical Education (620) Medical Ethics (144) Nephrology (666) Neurology (6573) Nursing (345) Nutrition (998) Obstetrics and Gynecology (1139) Occupational and Environmental Health (954) Oncology (3319) Ophthalmology (968) Orthopedics (369) Otolaryngology (420) Pain Medicine (435) Palliative Medicine (129) Pathology (662) Pediatrics (1689) Pharmacology and Therapeutics (691) Primary Care Research (710) Psychiatry and Clinical Psychology (5422) Public and Global Health (9205) Radiology and Imaging (2191) Rehabilitation Medicine and Physical Therapy (1367) Respiratory Medicine (1191) Rheumatology (593) Sexual and Reproductive Health (709) Sports Medicine (529) Surgery (709) Toxicology (99) Transplantation (288) Urology (265) (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fe97460cf7f8650',t:'MTc3OTI2MDMyMw=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

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: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-NC-ND-4.0