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Introduction <p>Maternal health is still a significant global public health challenge, with approximately 260,000 women died due to complications related to pregnancy and childbirth yearly. In Benin, giving birth without the help of a healthcare professional is a common practice. This study aims to examine the spatial distribution and factors associated with home delivery among women of reproductive age in Benin.</p> Methods <p>A weighted sample of 9,031 women of reproductive age from the 2017–2018 Benin Demographic and Health Survey was used in this study. Hotspot areas of home delivery were identified using Getis-Ord Gi* analysis, while presence of clustering was identified using Global Moran’s I. A multilevel logistic regression model was used to identify factors associated with home delivery in Benin. A p-value of &lt; 0.05 and an adjusted odds ratio with a corresponding 95% confidence interval were used to determine statistical significance.</p> Results <p>The proportion of home delivery in Benin was 13.2% (95%CI: 13.0–14.5%). The spatial analysis revealed significant geographic disparities in home delivery throughout Benin (Global Moran’s I = 0.511, <i>p</i> = 0.0007), with Getis-Ord Gi* analysis identifying hotspot Departments in Alibori, Atacora, and Borgou. Rich wealth index (AOR = 0.515; 95% CI: 0.356, 0.734), secondary and above education (AOR = 0.505; 95% CI: 0.319, 0.800), married women (AOR = 0.512; 95% CI: 0.405, 0.647), employed women (AOR = 0.765; 95% CI: 0.601, 0.974), community poverty (AOR = 2.659; 95% CI: 1.910, 3.704) and community literacy (AOR = 0.566; 95% CI: 0.415, 0.771) were significant factors associated with home delivery in Benin.</p> Conclusion <p>In Benin, the proportion of home delivery is still high, and the study revealed notable regional differences among the country’s departments. Maternal education, wealth index, mother’s occupation, parity, optimal ANC, timing of first antenatal check, marital status, community literacy, community poverty and community optimum ANC coverage were significant factors related to home delivery in Benin. Furthermore, reducing home delivery in the designated hotspot areas requires a health promotion strategy, raising public awareness, expanding educational opportunities, and improving economic status.</p>

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Spatial distribution and determinants of home delivery among reproductive aged women in Benin

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  • 出版模式：

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  • 发表日期：

    2026年6月23日

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  • Kefale Tilahun Getahun,
  • Nigussie Adam Birhan,
  • Zelalem Meraf Wolde

摘要

Introduction

Maternal health is still a significant global public health challenge, with approximately 260,000 women died due to complications related to pregnancy and childbirth yearly. In Benin, giving birth without the help of a healthcare professional is a common practice. This study aims to examine the spatial distribution and factors associated with home delivery among women of reproductive age in Benin.

Methods

A weighted sample of 9,031 women of reproductive age from the 2017–2018 Benin Demographic and Health Survey was used in this study. Hotspot areas of home delivery were identified using Getis-Ord Gi* analysis, while presence of clustering was identified using Global Moran’s I. A multilevel logistic regression model was used to identify factors associated with home delivery in Benin. A p-value of < 0.05 and an adjusted odds ratio with a corresponding 95% confidence interval were used to determine statistical significance.

Results

The proportion of home delivery in Benin was 13.2% (95%CI: 13.0–14.5%). The spatial analysis revealed significant geographic disparities in home delivery throughout Benin (Global Moran’s I = 0.511, p = 0.0007), with Getis-Ord Gi* analysis identifying hotspot Departments in Alibori, Atacora, and Borgou. Rich wealth index (AOR = 0.515; 95% CI: 0.356, 0.734), secondary and above education (AOR = 0.505; 95% CI: 0.319, 0.800), married women (AOR = 0.512; 95% CI: 0.405, 0.647), employed women (AOR = 0.765; 95% CI: 0.601, 0.974), community poverty (AOR = 2.659; 95% CI: 1.910, 3.704) and community literacy (AOR = 0.566; 95% CI: 0.415, 0.771) were significant factors associated with home delivery in Benin.

Conclusion

In Benin, the proportion of home delivery is still high, and the study revealed notable regional differences among the country’s departments. Maternal education, wealth index, mother’s occupation, parity, optimal ANC, timing of first antenatal check, marital status, community literacy, community poverty and community optimum ANC coverage were significant factors related to home delivery in Benin. Furthermore, reducing home delivery in the designated hotspot areas requires a health promotion strategy, raising public awareness, expanding educational opportunities, and improving economic status.