Mapping traditional birth attendance in sub-Saharan Africa between 2012 and 2023: analysis of data from demographic and health surveys

Daniel Gashaneh Belay MSc, MPH , Gizachew A. Tessema PhD , Jennifer Dunne PhD , Kefyalew Addis Alene PhD , Tefera Taddele MSc , Theodros Getachew PhD , Richard Norman PhD
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Abstract

Background

Traditional birth attendance (TBA) remains common in Sub-Saharan Africa (SSA), impacting maternal and neonatal mortality rates. This study aimed at producing high-resolution geospatial estimates and identifying predictors of TBA-assisted childbirth in SSA.

Methods

We used the latest Demographic and Health Survey (DHS) data (2012–2023) from 32 SSA countries. Our sample included 231,189 reproductive-aged women who had given live birth to a child within the past 5 years. A multilevel binary logistic regression model was employed to identify the predictors of TBA-assisted childbirth, accounting for individual, household, and community-level factors. Geospatial analysis identified geographic hotspot areas where TBA is most prevalent.

Result

The proportion of TBA-assisted childbirth among reproductive-aged women in SSA was 12.43% (95% CI: 10.02%, 14.84%), ranging from 0.3% (South Africa) to 49.4 % (Chad). Hotspot clusters of TBA-assisted childbirth were found in Chad, Ethiopia, Madagascar, Guinea, and Niger. TBA-assisted childbirth was associated with women with community low women literacy (AOR=2.82; 95% CI; 2.57, 3.09), low household wealth status (AOR=1.42; 95% CI; 1.34, 1.49), and residing in rural areas (AOR=2.95; 95% CI; 2.68, 3.24) or had major problems with distance from the health facilities (AOR=1.22; 95% CI; 1.17, 1.26).

Conclusion

Significant geographic variation in TBA-assisted childbirth among women in SSA indicates the need for targeted health interventions to improve access to skill delivery services and empower women through financial and literacy initiatives.
2012年至2023年撒哈拉以南非洲传统接生率制图:人口和健康调查数据分析
在撒哈拉以南非洲(SSA),传统的助产(TBA)仍然很普遍,影响着孕产妇和新生儿死亡率。本研究旨在产生高分辨率的地理空间估计,并确定SSA中tba辅助分娩的预测因素。方法使用来自32个SSA国家的最新人口与健康调查(DHS)数据(2012-2023)。我们的样本包括231189名育龄妇女,她们在过去5年内活产了一个孩子。采用多水平二元logistic回归模型确定tba辅助分娩的预测因素,考虑个人、家庭和社区层面的因素。地理空间分析确定了TBA最普遍的地理热点地区。结果SSA育龄妇女中tba辅助分娩的比例为12.43% (95% CI: 10.02%, 14.84%),从南非的0.3%到乍得的49.4%不等。tba辅助分娩的热点聚集在乍得、埃塞俄比亚、马达加斯加、几内亚和尼日尔。tba辅助分娩与社区妇女识字率低的妇女相关(AOR=2.82;95%可信区间;2.57, 3.09),家庭财富状况较低(AOR=1.42;95%可信区间;1.34, 1.49),居住在农村(AOR=2.95;95%可信区间;2.68, 3.24)或与卫生设施的距离有重大问题(AOR=1.22;95%可信区间;1.17, 1.26)。结论SSA妇女在tba辅助分娩方面存在显著的地理差异,这表明需要有针对性的卫生干预措施,以改善获得技能提供服务的机会,并通过财政和扫盲举措赋予妇女权力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AJOG global reports
AJOG global reports Endocrinology, Diabetes and Metabolism, Obstetrics, Gynecology and Women's Health, Perinatology, Pediatrics and Child Health, Urology
CiteScore
1.20
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