An explanation of the stagnant under-5 mortality rate in Bangladesh using multilevel, multivariable analysis of three Demographic and Health Surveys

Abstract

Abstract Despite remarkable success in the Millennium Development Goal era, Bangladesh experienced a sluggish reduction in the under-5 mortality rate (U5MR) between 2014 and 2017–18. Our study aimed to explain this stagnancy by examining the variation in the key predictor-specific mortality risks over time, using the Bangladesh Demographic and Health Survey 2011, 2014 and 2017–18 data. We applied multilevel mixed effects logistic regression to examine the extent to which the under-5 mortality (U5M) risks were associated with the key sociodemographic and health service-specific predictors. We found that the rise in mortality risks attributable to maternal age 18 years or below, low maternal education, mother’s overweight or obesity and the absence of a handwashing station within the household were the key contributors to the stagnant U5MR between 2014 and 2017–18. Poverty and low education aggravated the mortality risks. Besides, antenatal care (ANC) and postnatal care (PNC) did not impact U5M risks as significantly as expected. Compulsory use of ANC and PNC cards and strict monitoring of their use may improve the quality of these health services. Leveraging committees like the Upazila Hospital Management Committee can bring harmony to implementing policies and programmes in the sectors related to U5M.