The Impact of Systems Engineering and Process Optimization Strategies on Patient Experience and Outcome Disparities for Limited English Proficiency Populations: An Ethnographic Systematic Review and Meta-Analysis

The Impact of Systems Engineering and Process Optimization Strategies on Patient Experience and Outcome Disparities for Limited English Proficiency Populations: An Ethnographic Systematic Review and Meta-Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (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;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article The Impact of Systems Engineering and Process Optimization Strategies on Patient Experience and Outcome Disparities for Limited English Proficiency Populations: An Ethnographic Systematic Review and Meta-Analysis Alexa Q. Xiang, Jimin Yoo, Vincent Yuan, Sanjana L. Kola, Antarjot Kaur, and 20 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9204170/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The primary objective of this ethnographic systematic review and meta-analysis of language access interventions and healthcare outcomes among patients with Limited English Proficiency (LEP) was to determine whether system-level language access interventions improved healthcare outcomes for LEP patients compared with English-proficient populations. We included comparative quantitative studies conducted in hospital or health-system settings that evaluated LEP populations and reported patient-related outcomes. Exclusion criteria were non-peer-reviewed reports, artificial-intelligence-focused interventions, case studies (<50 participants), animal studies, and community-only studies. PubMed, Scopus, and the Cochrane Library were last searched on 25 September 2025. Risk of bias was assessed independently by 2 reviewers using ROB-2 and ROBINS-I V2. Random-effects meta-analysis following the PRISMA 2020 guidelines, and narrative synthesis via meta-ethnography in compliance to the eMERGe guidelines, were used to summarize outcomes. 45 studies (n = 618,822 participants) were eligible and included for meta-analysis, while 32 were deferred to a qualitative meta-ethnography synthesis due to a lack of numerical outcomes; studies were often observational cohorts and randomized controlled trials, with high risk of bias. Results, sorted into 12 subgroup analyses by outcome measure and effect type from, demonstrated a consistent trend toward worsened health and access disparities and poorer clinical outcomes among limited English proficiency (LEP) populations compared to non-LEP groups with language barriers and poor intervention, although effects varied substantially by intervention type and outcome. Subgroups 1(a) (n = 2) and 2(a) (n = 3) showed small, non-significant increases in disparities (pooled effects: -0.769, 95% CI [-4.274, 2.736], p < 0.001; and -0.492, 95% CI [-2.150, 1.166], p < 0.001, respectively), favoring non-LEP populations. Clinical outcomes in subgroup 1(b) (n = 2) demonstrated a larger negative effect (-7.829, 95% CI [-24.561, 8.902], p < 0.001), also favouring non-LEP groups. Health system performance outcomes were mixed. In subgroup 3(a) (n = 2), wait times and delays increased (-1442.426 minutes, 95% CI [-4260.021, 1375.169], p < 0.001), indicating worse performance, while subgroup 3(b) (n = 3) showed increased length of stay and revisits (510.533 minutes, 95% CI [-2015.983, 3037.050], p < 0.001). In contrast, language-focused system redesigns in subgroup 4(a) (n = 5) were associated with significant improvements (0.541, 95% CI [0.143, 0.939], p < 0.001), favouring intervention groups, whereas subgroup 4(b) (n = 2) showed a non-significant improvement in disparities (0.323, 95% CI [-0.633, 1280000], p < 0.001). Disparities increased significantly in subgroup 5(a) (n = 10) (-1.149, 95% CI [-1.532, -0.766], p < 0.001), with smaller, non-significant negative effects observed in 5(b) (n = 7) (-0.362, 95% CI [-1.474, 0.750], p < 0.001) and 5(c) (n = 3) (-0.537, 95% CI [-2.075, 1.001], p < 0.001), all favouring non-LEP populations. Similarly, subgroup 6(a) (n = 2) showed a non-significant decrease in positive clinical outcomes (-0.333, 95% CI [−0.991, 0.325], p = 0.009), while subgroup 6(b) (n = 2) demonstrated a significant worsening of disparities (-0.206, 95% CI [-0.274, -0.138], p = 0.98), again favouring non-LEP groups. Heterogeneity was high across most subgroups (I² range: 85%-100%), except for subgroup 6(b), which showed no observed heterogeneity (I² = 0%), indicating consistent effects across included studies. In the meta-ethnography, language was found to be a structural determinant affecting care processes at multiple levels, and the treatment of interpreters as episodic support reduces consistency of positive intervention outcomes. Process-level reforms must be combined with patient-level strategies, such as ethnic matching and equitable perception of disparities. Heterogeneity in this literature is driven by contextual and implementation factors rather than study quality, and language-related access disparities carry consistent pooled signals when they do not measure clinical or time-based outcomes. Patient-reported outcomes, including perceived linguistic safety, communication quality, and care satisfaction, represent an underdeveloped dimension of the evidence base. Institutional de-centering led to poor implementation and informal interpretation contributed to underestimate of adverse events. Future research should prioritize several methodological advances to address the limitations identified in this review, including quasi-experimental trials and culturally and linguistically sensitive standardization of LEP measurement and documentation. Evidence was limited by predominantly observational designs, high heterogeneity and wide confidence intervals in some analyses, small subgroup sample size, and moderate-serious risk of bias. This work was funded by ThinkNeuro, LLC (EIN: 33-2258068) and this review was registered on OSF Registries (7dvkb). Health sciences/Health care Health sciences/Medical research Limited English Proficiency (LEP) Systems Engineering Process Optimization Patients Hospitals Clinics Health Disparities Full Text Additional Declarations Competing interest reported. This study was funded by ThinkNeuro, LLC (EIN: 33-2258068). The funder played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript, though we thank ThinkNeuro, LLC’s Second Medical Language Exchange Internship program for providing APC funding and helping in the intern recruitment process. The authors have no other competing interests to disclose. Supplementary Files PRISMAchecklistTheImpactofSystemsEngineeringandProcessOptimizationStrategiesonPatientExperienceandOutcomeDisparitiesforLimitedEnglishProficiencyPopulationsAnEthnographicSystematicReviewandMetaAnalysis.pdf eMERGechecklistTheImpactofSystemsEngineeringandProcessOptimizationStrategiesonPatientExperienceandOutcomeDisparitiesforLimitedEnglishProficiencyPopulationsAnEthnographicSystematicReviewandMetaAnalysis.pdf Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9204170","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":613844901,"identity":"1ce497ca-7f9d-4e63-8bf1-a56e1c9e4144","order_by":0,"name":"Alexa Q. 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This study was funded by ThinkNeuro, LLC (EIN: 33-2258068). The funder played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript, though we thank ThinkNeuro, LLC’s Second Medical Language Exchange Internship program for providing APC funding and helping in the intern recruitment process. The authors have no other competing interests to disclose.","formattedTitle":"The Impact of Systems Engineering and Process Optimization Strategies on Patient Experience and Outcome Disparities for Limited English Proficiency Populations: An Ethnographic Systematic Review and Meta-Analysis","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Limited English Proficiency (LEP), Systems Engineering, Process Optimization, Patients, Hospitals, Clinics, Health Disparities","lastPublishedDoi":"10.21203/rs.3.rs-9204170/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9204170/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe primary objective of this ethnographic systematic review and meta-analysis of language access interventions and healthcare outcomes among patients with Limited English Proficiency (LEP) was to determine whether system-level language access interventions improved healthcare outcomes for LEP patients compared with English-proficient populations. We included comparative quantitative studies conducted in hospital or health-system settings that evaluated LEP populations and reported patient-related outcomes. Exclusion criteria were non-peer-reviewed reports, artificial-intelligence-focused interventions, case studies (\u0026lt;50 participants), animal studies, and community-only studies. PubMed, Scopus, and the Cochrane Library were last searched on 25 September 2025. Risk of bias was assessed independently by 2 reviewers using ROB-2 and ROBINS-I V2. Random-effects meta-analysis following the PRISMA 2020 guidelines, and narrative synthesis via meta-ethnography in compliance to the eMERGe guidelines, were used to summarize outcomes. 45 studies (n = 618,822 participants) were eligible and included for meta-analysis, while 32 were deferred to a qualitative meta-ethnography synthesis due to a lack of numerical outcomes; studies were often observational cohorts and randomized controlled trials, with high risk of bias.\u003c/p\u003e\n\u003cp\u003eResults, sorted into 12 subgroup analyses by outcome measure and effect type from, demonstrated a consistent trend toward worsened health and access disparities and poorer clinical outcomes among limited English proficiency (LEP) populations compared to non-LEP groups with language barriers and poor intervention, although effects varied substantially by intervention type and outcome. Subgroups 1(a) (n = 2) and 2(a) (n = 3) showed small, non-significant increases in disparities (pooled effects: -0.769, 95% CI [-4.274, 2.736], p \u0026lt; 0.001; and -0.492, 95% CI [-2.150, 1.166], p \u0026lt; 0.001, respectively), favoring non-LEP populations. Clinical outcomes in subgroup 1(b) (n = 2) demonstrated a larger negative effect (-7.829, 95% CI [-24.561, 8.902], p \u0026lt; 0.001), also favouring non-LEP groups. Health system performance outcomes were mixed. In subgroup 3(a) (n = 2), wait times and delays increased (-1442.426 minutes, 95% CI [-4260.021, 1375.169], p \u0026lt; 0.001), indicating worse performance, while subgroup 3(b) (n = 3) showed increased length of stay and revisits (510.533 minutes, 95% CI [-2015.983, 3037.050], p \u0026lt; 0.001). In contrast, language-focused system redesigns in subgroup 4(a) (n = 5) were associated with significant improvements (0.541, 95% CI [0.143, 0.939], p \u0026lt; 0.001), favouring intervention groups, whereas subgroup 4(b) (n = 2) showed a non-significant improvement in disparities (0.323, 95% CI [-0.633, 1280000], p \u0026lt; 0.001). Disparities increased significantly in subgroup 5(a) (n = 10) (-1.149, 95% CI [-1.532, -0.766], p \u0026lt; 0.001), with smaller, non-significant negative effects observed in 5(b) (n = 7) (-0.362, 95% CI [-1.474, 0.750], p \u0026lt; 0.001) and 5(c) (n = 3) (-0.537, 95% CI [-2.075, 1.001], p \u0026lt; 0.001), all favouring non-LEP populations. Similarly, subgroup 6(a) (n = 2) showed a non-significant decrease in positive clinical outcomes (-0.333, 95% CI [−0.991, 0.325], p = 0.009), while subgroup 6(b) (n = 2) demonstrated a significant worsening of disparities (-0.206, 95% CI [-0.274, -0.138], p = 0.98), again favouring non-LEP groups. Heterogeneity was high across most subgroups (I² range: 85%-100%), except for subgroup 6(b), which showed no observed heterogeneity (I² = 0%), indicating consistent effects across included studies.\u003c/p\u003e\n\u003cp\u003eIn the meta-ethnography, language was found to be a structural determinant affecting care processes at multiple levels, and the treatment of interpreters as episodic support reduces consistency of positive intervention outcomes. Process-level reforms must be combined with patient-level strategies, such as ethnic matching and equitable perception of disparities. Heterogeneity in this literature is driven by contextual and implementation factors rather than study quality, and language-related access disparities carry consistent pooled signals when they do not measure clinical or time-based outcomes. Patient-reported outcomes, including perceived linguistic safety, communication quality, and care satisfaction, represent an underdeveloped dimension of the evidence base. Institutional de-centering led to poor implementation and informal interpretation contributed to underestimate of adverse events. Future research should prioritize several methodological advances to address the limitations identified in this review, including quasi-experimental trials and culturally and linguistically sensitive standardization of LEP measurement and documentation.\u003c/p\u003e\n\u003cp\u003eEvidence was limited by predominantly observational designs, high heterogeneity and wide confidence intervals in some analyses, small subgroup sample size, and moderate-serious risk of bias. This work was funded by ThinkNeuro, LLC (EIN: 33-2258068) and this review was registered on OSF Registries (7dvkb).\u003c/p\u003e","manuscriptTitle":"The Impact of Systems Engineering and Process Optimization Strategies on Patient Experience and Outcome Disparities for Limited English Proficiency Populations: An Ethnographic Systematic Review and Meta-Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-06 08:02:11","doi":"10.21203/rs.3.rs-9204170/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"2d7390a3-c1a4-4bbe-ba4a-db0f25ed4da6","owner":[],"postedDate":"April 6th, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Rejected","date":"2026-05-14T11:35:27+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-14T04:42:25+00:00","index":18,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-06T20:32:18+00:00","index":17,"fulltext":""},{"type":"reviewerAgreed","content":"148296168655773910410458923555064399498","date":"2026-04-30T19:52:07+00:00","index":16,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":65320360,"name":"Health sciences/Health care"},{"id":65320361,"name":"Health sciences/Medical research"}],"tags":[],"updatedAt":"2026-05-14T11:40:54+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-06 08:02:11","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9204170","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9204170","identity":"rs-9204170","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}