Preference-based universal health coverage for climate-resilient health systems in coastal Bangladesh: Application of Choice experiment approach

Preference-based universal health coverage for climate-resilient health systems in coastal Bangladesh: Application of Choice experiment approach | 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 Preference-based universal health coverage for climate-resilient health systems in coastal Bangladesh: Application of Choice experiment approach Md. Hafiz Iqbal, Ibrahim Habib This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9268320/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 Effective health measures are required to minimize loss of life and health suffering caused by the devastating climate-induced diseases. Recognizing the importance of preference-based universal health coverage (UHC) is essential for creating equitable and quality healthcare services accessible to everyone. However, current valuation practices of UHC for climate-induced diseases remain limited. This study offers empirical proof that the benefit package within hypothetical UHC schemes directly influences the likelihood of enrolment. Additionally, this study aimed to measure the economic benefits of UHC. Using a cluster sampling technique, 716 respondents were selected from 22 villages in three coastal districts of Khulna division. The study employed conditional logit, nested logit, and random parameter logit models to identify the essential attributes of UHC. The results showed that healthcare service availability, type of healthcare provides, renewal discount, special support for vulnerable groups, preventive services, nature of treatment coverage, number of climate-induced disease covered, and annual payment for UHC have a statistically significant impact on the likelihood of selecting an alternative scenario of UHC. In this context, age, monthly income, family size, and educational background play influential roles. The results of marginal willingness to pay (MWTP), consumer surplus (CS), and present value (PV) indicate that coastal residents receive greater healthcare benefits from the UHC, while investors and/or government earn more revenue from the UHC scheme. Universal health coverage Choice experiment Healthcare financing Stated preference data Climate-induced diseases 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-9268320","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":614657807,"identity":"cfb2d6c4-5d9b-4ec2-ace7-43060d861d4a","order_by":0,"name":"Md. 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