Construction and application of evaluation indicator system for homogenous medical services in multi-campus management of public hospitals

Construction and application of evaluation indicator system for homogenous medical services in multi-campus management of public hospitals | 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 Research Article Construction and application of evaluation indicator system for homogenous medical services in multi-campus management of public hospitals Wang Hao-Yu, Yang Yan, Lu Manchen, Liu Yaoyao, Zhang Yu, Xue Tongbin, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4352074/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 Background To organize the concepts and research progress of multi-campus management and homogeneity in Chinese public hospitals; construct a systematic, rational, and scientific evaluation indicator system and assessment method; and conduct an empirical analysis. This study aims to provide a theoretical basis and practical guidance for the practice of multicampus development in public hospitals. Methods The Donabedian model was used to construct an evaluation framework and the Delphi method was used to establish a set of evaluation indicators for the homogeneous management of public hospitals with multiple campuses. The analytic hierarchy process (AHP) was applied to determine the weights of various indicators and perform consistency checks. The TOPSIS + RSR method was used for comprehensive evaluation. Results This study identified 3 primary indicators (resource input, operational efficiency, and quality of care), 9 secondary indicators (infrastructure, talent support, revenue and expenditure structure, cost control, medical services, service volume, technical safeguards, patient safety, and rational use of medications), and 41 tertiary indicators. During weighting as part of the analytic hierarchy process, the consistency ratio of the judgment matrices was found to be less than 0.100. Eleven clinical departments were included in the empirical study, and the results of the TOPSIS method of analysis showed that the highest level of homogeneous management was in Department B (gynecology) and the lowest in Department I (neurosurgery). The results of the RSR method showed that the management levels could be graded as high, medium, or low, with a statistically significant linear regression equation between Ci and the corresponding Probit probability (F = 402.1, P < 0.001). Conclusions The evaluation indicator system constructed in this study was based on XX, with comprehensive indicators and reliable results. Empirical research has demonstrated its effectiveness in assessing the homogeneous management level of the same department across different campuses. To further optimize the homogeneous management of public hospitals with multiple campuses, the following two strategies could be considered: ( 1 ) improving the precision of resource allocation and ( 2 ) enhancing the quality and efficiency of sustained coordination. evaluation homogenous management indicator system multi-campus management of hospitals public hospitals Full Text Additional Declarations No competing interests reported. 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-4352074","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":300349431,"identity":"1a477294-00dc-48cc-89a7-8cbfc12e54b5","order_by":0,"name":"Wang Hao-Yu","email":"","orcid":"","institution":"Anhui Medical University","correspondingAuthor":false,"prefix":"","firstName":"Wang","middleName":"","lastName":"Hao-Yu","suffix":""},{"id":300349432,"identity":"950ac2bc-ad82-40cd-b37c-2ac28c524472","order_by":1,"name":"Yang Yan","email":"","orcid":"","institution":"Nanjing 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02:39:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4352074/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4352074/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56206590,"identity":"ed9759f5-8343-48ca-8d48-53077b348e99","added_by":"auto","created_at":"2024-05-09 22:12:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":384759,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4352074/v1_covered_92c5f5be-25d8-4dc9-a7bd-86d95602ddf5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Construction and application of evaluation indicator system for homogenous medical services in multi-campus management of public 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hospitals","lastPublishedDoi":"10.21203/rs.3.rs-4352074/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4352074/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eTo organize the concepts and research progress of multi-campus management and homogeneity in Chinese public hospitals; construct a systematic, rational, and scientific evaluation indicator system and assessment method; and conduct an empirical analysis. This study aims to provide a theoretical basis and practical guidance for the practice of multicampus development in public hospitals.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThe Donabedian model was used to construct an evaluation framework and the Delphi method was used to establish a set of evaluation indicators for the homogeneous management of public hospitals with multiple campuses. The analytic hierarchy process (AHP) was applied to determine the weights of various indicators and perform consistency checks. The TOPSIS\u0026thinsp;+\u0026thinsp;RSR method was used for comprehensive evaluation.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eThis study identified 3 primary indicators (resource input, operational efficiency, and quality of care), 9 secondary indicators (infrastructure, talent support, revenue and expenditure structure, cost control, medical services, service volume, technical safeguards, patient safety, and rational use of medications), and 41 tertiary indicators. During weighting as part of the analytic hierarchy process, the consistency ratio of the judgment matrices was found to be less than 0.100. Eleven clinical departments were included in the empirical study, and the results of the TOPSIS method of analysis showed that the highest level of homogeneous management was in Department B (gynecology) and the lowest in Department I (neurosurgery). The results of the RSR method showed that the management levels could be graded as high, medium, or low, with a statistically significant linear regression equation between Ci and the corresponding Probit probability (F\u0026thinsp;=\u0026thinsp;402.1, P\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThe evaluation indicator system constructed in this study was based on XX, with comprehensive indicators and reliable results. Empirical research has demonstrated its effectiveness in assessing the homogeneous management level of the same department across different campuses. To further optimize the homogeneous management of public hospitals with multiple campuses, the following two strategies could be considered: (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) improving the precision of resource allocation and (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) enhancing the quality and efficiency of sustained coordination.\u003c/p\u003e","manuscriptTitle":"Construction and application of evaluation indicator system for homogenous medical services in multi-campus management of public hospitals","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-09 18:01:30","doi":"10.21203/rs.3.rs-4352074/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":"20c09dfe-83fa-4801-8f3f-578c7e9dde8a","owner":[],"postedDate":"May 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-05-09T22:11:03+00:00","versionOfRecord":[],"versionCreatedAt":"2024-05-09 18:01:30","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4352074","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4352074","identity":"rs-4352074","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}