Women’s Decision-Making Autonomy as a Mitigating Factor for Complete Antenatal Care Coverage: Evidence from Bangladesh Demographic and Health Survey, 2017-18 | 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 Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Women’s Decision-Making Autonomy as a Mitigating Factor for Complete Antenatal Care Coverage: Evidence from Bangladesh Demographic and Health Survey, 2017-18 Ramisa Morshed, Md. Asaduzzaman Sohan, Naurin Afrin, Amatul Aziz Urmy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3305631/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 study defines complete antenatal care (ANC) coverage as a measure of better quality ANC by using three indicator variables: ANC from skilled health providers, initiating ANC during the first trimester, and receiving at least 4 ANC visits. The research work is aimed to determine the impact of women’s household decision-making autonomy on complete ANC coverage and investigates other potential factors associated with complete ANC coverage. As per researchers’ knowledge, this is the first study in Bangladesh where the association between women’s decision-making autonomy and complete ANC coverage has been explored. The study obtained data from 4864 women on their last successful pregnancy which has been extracted from Bangladesh Demographic and Health Survey (BDHS), 2017-18. Descriptive and analytical analysis has been carried out using frequency tables, the chi-square test of association, and the binary logistic regression model. The result shows that almost one-fourth of women (25.5%) fulfill the requirements of complete ANC coverage. Moreover, both the chi-square test and the logistic regression model confirm the significant association between women’s decision-making autonomy and complete ANC coverage. It is evident from the study that women with higher decision-making autonomy have significantly 25% higher adjusted odds of experiencing complete ANC coverage compared to those who have low autonomy power. Moreover, the findings of the study signify the factors Division, Place of residence, Maternal education level, Wealth index, Mother’s age at birth, Media coverage, Exposure to domestic violence, Partner’s education level, and Birth order as potential factors affecting complete ANC coverage in Bangladesh. Therefore effective policies are required to prioritize interventions that promote women's autonomy in household decision making which in return can lead to better maternal and child health outcomes in Bangladesh. maternity women Bangladesh antenatal care pregnancy child children decision-making power autonomy mitigating factor coverage violence Full Text Additional Declarations Competing interests: The authors declare no competing interests. Ethical approval: The project complies with all of the requirements of 45 CFR 46, “Protection of Human Subjects” 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 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-3305631","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":229537373,"identity":"046796a8-3016-4c35-ba8a-115464924759","order_by":0,"name":"Ramisa Morshed","email":"","orcid":"https://orcid.org/0009-0000-7033-6122","institution":"University of Dhaka","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ramisa","middleName":"","lastName":"Morshed","suffix":""},{"id":229537610,"identity":"c91223d8-422b-4acf-a4e7-952560a6cefa","order_by":1,"name":"Md. 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