Trends and inequalities in neonatal mortality rate in Bangladesh: Evidence from cross‐sectional surveys

Author:

Dey Rakhi1,Kundu Satyajit2ORCID,Ajayi Kobi V.3,Kabir Humayun4ORCID,Banna Md. Hasan Al5ORCID

Affiliation:

1. Statistics Discipline Khulna University Khulna Bangladesh

2. School of Medicine and Dentistry Griffith University Gold Coast QLD Australia

3. Department of Health Behavior, School of Public Health Texas A&M University College Station College Station Texas USA

4. Department of Health Research Methods, Evidence and Impact McMaster University Hamilton Ontario Canada

5. Faculty of Nutrition and Food Science Patuakhali Science and Technology University Patuakhali Bangladesh

Abstract

AbstractBackground and AimsGiven the significance of addressing neonatal mortality in pursuing the 2030 Sustainable Development Goal on child health, research focus on this area is crucial. Despite the persistent high rates of neonatal mortality rate (NMR) in Bangladesh, there remains a notable lack of robust evidence addressing inequalities in NMR in the country. Therefore, this study aims to fill the knowledge gap by comprehensively investigating inequalities in NMR in Bangladesh.MethodsThe Bangladesh Demographic and Health Survey (BDHS) data from 2000 to 2017 were analyzed. The equity stratifiers used to measure the inequalities were wealth status, mother's education, place of residence, and subnational region. Difference (D) and population attributable fraction (PAF) were absolute measures, whereas population attributable risk (PAR) and ratio (R) were relative measures of inequality. Statistical significance was considered by estimating 95% confidence intervals (CIs) for each estimate.ResultsA declining trend in NMR was found in Bangladesh, from 50.2 in 2000 to 31.9 deaths per 1000 live births in 2017. This study detected significant wealth‐driven (PAF: −20.6, 95% CI: −24.9, −16.3; PAR: −6.6, 95% CI: −7.9, −5.2), education‐related (PAF: −11.6, 95% CI: −13.4, −9.7; PAR: −3.7, 95% CI: −4.3, −3.1), and regional (PAF: −20.6, 95% CI: −27.0, −14.3; PAR: −6.6, 95% CI: −8.6, −4.6) disparities in NMR in all survey points. We also found a significant urban–rural inequality from 2000 to 2014, except in 2017. Both absolute and relative inequalities in NMR were observed; however, these inequalities decreased over time.ConclusionSignificant variations in NMR across subgroups in Bangladesh highlight the need for comprehensive, and targeted interventions. Empowering women through improved access to economic resources and education may help address disparities in NMR in Bangladesh. Future research and policies should focus on developing strategies to address these disparities and promote equitable health outcomes for all newborns.

Publisher

Wiley

Reference60 articles.

1. World Health Organization. Newborn health.2024. Accessed April 22 2024.https://www.who.int/westernpacific/health-topics/newborn-health

2. World Health Organization. Newborn Mortality.2022. Accessed November 15 2023.https://www.who.int/news-room/fact-sheets/detail/levels-and-trends-in-child-mortality-report-2021

3. UNICEF. Neonatal mortality: The neonatal period is the most vulnerable time for a child. Accessed November 15 2023.https://data.unicef.org/topic/child-survival/neonatal-mortality/

4. National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis

5. United Nations. Sustainable Development Goal 3: Ensure healthy lives and promote well‐being for all at all ages.2016. Accessed November 15 2023.https://www.un.org/sustainabledevelopment/health/

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