Centre for Health Policy and Implementation Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
BMC Public Health. 2022 Aug 16;22(1):1561. doi: 10.1186/s12889-022-13972-6.
Unskilled birth attendance is a major public health concern in Sub-Saharan Africa (SSA). Existing studies are hardly focused on the socio-demographic correlates and geospatial distribution of unskilled birth attendance in Chad (a country in SSA), although the country has consistently been identified as having one of the highest prevalence of maternal and neonatal deaths in the world. This study aimed to analyse the socio-demographic correlates and geospatial distribution of unskilled birth attendance in Chad.
The study is based on the latest Demographic and Health Survey (DHS) data for Chad. A total of 10,745 women aged between 15 and 49 years were included in this study. A multilevel analysis based on logistic regression was conducted to estimate associations of respondents' socio-demographic characteristics with unskilled birth attendance. Geographic Information System (GIS) mapping tools, including Getis-Ord Gi hotspot analysis tool and geographically weighted regression (GWR) tool, were used to explore areas in Chad with a high prevalence of unskilled birth attendance.
The findings show that unskilled birth attendance was spatially clustered in four Chad departments: Mourtcha, Dar-Tama, Assoungha, and Kimiti, with educational level, occupation, birth desire, birth order, antenatal care, and community literacy identified as the spatial predictors of unskilled birth attendance. Higher educational attainment, higher wealth status, cohabitation, lowest birth order, access to media, not desiring more births, and higher antenatal care visits were associated with lower odds of unskilled birth attendance at the individual level. On the other hand, low community literacy level was associated with higher odds of unskilled birth attendance in Chad whereas the opposite was true for urban residency.
Unskilled birth attendance is spatially clustered in some parts of Chad, and it is associated with various disadvantaged individual and community level factors. When developing interventions for unskilled birth attendance in Chad, concerned international bodies, the Chad government, maternal health advocates, and private stakeholders should consider targeting the high-risk local areas identified in this study.
在撒哈拉以南非洲(SSA),非熟练接生是一个主要的公共卫生问题。尽管乍得(SSA 国家之一)一直被认为是世界上孕产妇和新生儿死亡率最高的国家之一,但现有的研究几乎没有关注非熟练接生的社会人口学相关因素和地理空间分布。本研究旨在分析乍得非熟练接生的社会人口学相关因素和地理空间分布。
本研究基于乍得最新的人口与健康调查(DHS)数据。共有 10745 名年龄在 15 至 49 岁之间的妇女纳入本研究。采用基于逻辑回归的多水平分析来估计受访者的社会人口学特征与非熟练接生之间的关联。地理信息系统(GIS)制图工具,包括 Getis-Ord Gi 热点分析工具和地理加权回归(GWR)工具,用于探索乍得高非熟练接生率的地区。
研究结果表明,非熟练接生在乍得的四个部门呈现空间集聚:Mourtcha、Dar-Tama、Assoungha 和 Kimiti,教育水平、职业、生育愿望、出生顺序、产前护理和社区识字率被确定为非熟练接生的空间预测因素。较高的教育程度、较高的财富地位、同居、最低的出生顺序、接触媒体、不希望生育更多孩子、更多的产前护理就诊与个体水平的非熟练接生几率降低相关。另一方面,较低的社区识字水平与乍得非熟练接生几率增加相关,而城市居住则相反。
非熟练接生在乍得的一些地区呈空间集聚,与各种劣势的个人和社区层面因素相关。在乍得制定非熟练接生干预措施时,有关国际机构、乍得政府、孕产妇健康倡导者和私营利益相关者应考虑针对本研究确定的高风险当地地区。