Pooled prevalence and determinants of antenatal care visits in countries with high maternal mortality

A multi-country analysis

Bibliographic Data

ID22085754
AuthorsDagmawi Chilot (0000-0002-3792-4130, Addis Ababa University, corresponding author), Daniel Belay (0000-0002-5724-6234, University of Gondar), Tigist Andargie Ferede (University of Gondar), Kegnie Shitu (University of Gondar), Melaku Hunie Asratie (0000-0002-2281-7519, University of Gondar), Sintayehu Ambachew (University of Gondar), Yadelew Yimer Shibabaw (University of Gondar), Demiss Mulatu Geberu (0000-0001-5737-0457, University of Gondar), Melkamu Deresse (St. Peter's Hospital), Adugnaw Zeleke Alem (0000-0002-1928-8548, University of Gondar)
Year2023
Volume11
Pages1035759-1035759
Publication date2023-01-30
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1035759
PMID36794067
OpenAlexW4318472751
LanguageEN
Citations received3
References cited48

Background Complications during pregnancy and childbirth are the leading causes of maternal and child deaths and disabilities, particularly in low- and middle-income countries. Timely and frequent antenatal care prevents these burdens by promoting existing disease treatments, vaccination, iron supplementation, and HIV counseling and testing during pregnancy. Many factors could contribute to optimal ANC utilization remaining below targets in countries with high maternal mortality. This study aimed to assess the prevalence and determinants of optimal ANC utilization by using nationally representative surveys of countries with high maternal mortality. Methods Secondary data analysis was done using recent Demographic and Health Surveys (DHS) data of 27 countries with high maternal mortality. The multilevel binary logistic regression model was fitted to identify significantly associated factors. Variables were extracted from the individual record (IR) files of from each of the 27 countries. Adjusted odds ratios (AOR) with a 95% confidence interval (CI) and p -value of ≤0.05 in the multivariable model were used to declare significant factors associated with optimal ANC utilization. Result The pooled prevalence of optimal ANC utilization in countries with high maternal mortality was 55.66% (95% CI: 47.48–63.85). Several determinants at the individual and community level were significantly associated with optimal ANC utilization. Mothers aged 25–34 years, mothers aged 35–49 years, mothers who had formal education, working mothers, women who are married, had media access, households of middle-wealth quintile, richest household, history of pregnancy termination, female household head, and high community education were positively associated with optimal ANC visits in countries with high maternal mortality, whereas being rural residents, unwanted pregnancy, having birth order 2–5, and birth order >5 were negatively associated. Conclusion and recommendations Optimal ANC utilization in countries with high maternal mortality was relatively low. Both individual-level factors and community-level factors were significantly associated with ANC utilization. Policymakers, stakeholders, and health professionals should give special attention and intervene by targeting rural residents, uneducated mothers, economically poor women, and other significant factors this study revealed

Childbirth · Confidence interval · Developing country · Environmental health · Logistic regression · Odds ratio · Pregnancy · Child Nutrition and Water Access · Demography · Global Health and Epidemiology · Global Maternal and Child Health · Medicine

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