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埃塞俄比亚甘贝拉州的非机构分娩及其相关社会人口因素。

Non-Institutional Childbirths and the Associated Socio-Demographic Factors in Gambella Regional State, Ethiopia.

机构信息

Gambela People National Regional State Bureau of Health, Gambela People National Regional State, Gambella 5440, Ethiopia.

Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China.

出版信息

Int J Environ Res Public Health. 2021 Mar 11;18(6):2859. doi: 10.3390/ijerph18062859.

Abstract

The decades-long global efforts to reduce maternal morbidity and mortality have shown overall progress, but most developing countries are still lagging significantly. This study aimed to assess the prevalence of non-institutional childbirths in the Gambella State and to identify socio-demographic factors responsible for non-institutional utilization of available birth services by reproductive-aged mothers. A community-based cross-sectional study design was adopted using a multi-stage random sampling technique. Binary logistic regression was used to identify factors associated with the selected place of birth. EpiData version 3.1 and SPSS version 13.0 were applied for data entry and analyses. All the 657 eligible mothers recruited for this study responded to the interview. 71% of the total respondents had non-institutional childbirths (NICB), and the rest had their most recent childbirth in an institution with skilled healthcare providers' assistance. Socio-demographic factors were significantly associated with NICB. Nuer (AOR = 2.12, 95% CI: 1.23-3.63) and Majang ethnic (AOR = 1.98, 95% CI: 1.02-3.83) groups had higher rates of NICB than the rest of the study population. The prevalence of non-institutional childbirths in Gambella remained two times higher than the institutional childbirths.

摘要

几十年来,全球为降低孕产妇发病率和死亡率所做的努力取得了总体进展,但大多数发展中国家仍明显滞后。本研究旨在评估甘贝拉州非正规分娩的流行情况,并确定导致育龄产妇未能利用现有分娩服务的社会人口因素。本研究采用基于社区的横断面研究设计,采用多阶段随机抽样技术。采用二元逻辑回归分析确定与选择分娩地点相关的因素。采用 EpiData 版本 3.1 和 SPSS 版本 13.0 进行数据录入和分析。本研究共招募了 657 名符合条件的母亲,所有这些母亲都接受了访谈。71%的总受访者有非正规分娩(NICB),其余的则在有熟练医疗保健提供者协助的机构中分娩。社会人口因素与 NICB 显著相关。努尔(AOR=2.12,95%CI:1.23-3.63)和马江(AOR=1.98,95%CI:1.02-3.83)群体的 NICB 发生率高于研究人群的其他群体。甘贝拉州的非正规分娩率仍比正规分娩率高两倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9ae/8001352/719a5d0ea037/ijerph-18-02859-g001.jpg

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