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Mapping the prevalence and covariates associated with home delivery in Bangladesh: A multilevel regression analysis

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  • Rakhi Dey
  • Susmita Rani Dey
  • Meem Haque
  • Anushuya Binta Rahman
  • Satyajit Kundu
  • Sarmistha Paul Setu
  • U K Majumder

Abstract

Introduction: Bangladesh has made an intense effort to improve maternal healthcare facilities including facility delivery, but the number of home deliveries is still very high. Therefore, this study aims to find out district-wise prevalence and determine the individual and community-level predictors of home delivery among women in Bangladesh. Methods: Data were derived from the Multiple Indicator Cluster Survey (MICS) 2019, a nationwide cross-sectional survey in Bangladesh. A final sample of 9,166 (weighted) women who gave birth in the two years preceding the survey were included in this study. Considering the two-stage cluster sampling strategy adopted by MICS, we used multilevel (2-level) logistic regression analysis to find out the correlates of home delivery. Results: The overall weighted prevalence of home delivery was 46.41% (95% confidence interval [CI]: 45.39–47.43). The highest prevalence was observed in Bandarban district (84.58%), while the lowest was found in Meherpur district (6.95%). The intercept-only regression model demonstrates that the likelihood of women from various clusters having home delivery varied significantly (variance: 1.47, standard error [SE]: 0.117), indicating the applicability of multilevel regression modeling. The multilevel regression analysis showed that women with higher education, wealth status and ANC visit, and those aged >18 years at first marriage/union were associated with lower odds of delivering child at home compared to their counterparts. While women from age group of 35–49 years, whose last pregnancy was unintended were more likely to deliver child at home. In addition, those respondents belonging to a community that had higher wealth status, women’s education level, and exposure to media showed lower odds of having delivery at home. Conclusions: The finding indicates that delivery at home is still high in Bangladesh. Targeted interventions to reduce home delivery are urgently needed in Bangladesh to tackle adversities during deliveries and save mothers from the consequences.

Suggested Citation

  • Rakhi Dey & Susmita Rani Dey & Meem Haque & Anushuya Binta Rahman & Satyajit Kundu & Sarmistha Paul Setu & U K Majumder, 2024. "Mapping the prevalence and covariates associated with home delivery in Bangladesh: A multilevel regression analysis," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-17, November.
    • Handle: RePEc:plo:pone00:0313606
    DOI: 10.1371/journal.pone.0313606
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    References listed on IDEAS

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    1. Samuel Hailegebreal & Girma Gilano & Atsedu Endale Simegn & Binyam Tariku Seboka, 2022. "Spatial variation and determinant of home delivery in Ethiopia: Spatial and mixed effect multilevel analysis based on the Ethiopian mini demographic and health survey 2019," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-16, March.
    2. Henock Yebyo & Mussie Alemayehu & Alemayehu Kahsay, 2015. "Why Do Women Deliver at Home? Multilevel Modeling of Ethiopian National Demographic and Health Survey Data," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
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