Determinants of non-institutional childbirth: Evidence from the Peruvian demographic and health survey

IF 1.5 Q3 OBSTETRICS & GYNECOLOGY
Paola K. Rodrigo-Gallardo , Brenda Caira-Chuquineyra , Daniel Fernandez-Guzman , Diego Urrunaga-Pastor , Rodrigo Alejandro-Salinas , Angie Z. Vasquez-Chavesta , Carlos J. Toro-Huamanchumo
{"title":"Determinants of non-institutional childbirth: Evidence from the Peruvian demographic and health survey","authors":"Paola K. Rodrigo-Gallardo ,&nbsp;Brenda Caira-Chuquineyra ,&nbsp;Daniel Fernandez-Guzman ,&nbsp;Diego Urrunaga-Pastor ,&nbsp;Rodrigo Alejandro-Salinas ,&nbsp;Angie Z. Vasquez-Chavesta ,&nbsp;Carlos J. Toro-Huamanchumo","doi":"10.1016/j.eurox.2023.100250","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>We aimed to evaluate the determinants of non-institutional delivery among women of childbearing age in Peru.</p></div><div><h3>Methods</h3><p>We conducted a secondary analysis of data from the Peru 2019 Demographic and Family Health Survey (ENDES). This multi-stage survey sampling is representative at the urban-rural, regional, and national levels. The outcome variable was place of delivery, collected by self-reporting. Binary logistic regression models were used to assess the factors associated with non-institutionalized delivery. Thus, we estimated crude and adjusted odd ratios (aOR). For the multivariable model, the manual forward selection method and the Wald test were used to obtain a final parsimonious model.</p></div><div><h3>Results</h3><p>The final sample included 14,061 women of reproductive age between the ages of 15 and 49. The prevalence of non-institutional delivery was 7.8 %. Multivariate regression analysis found that having a secondary education (aOR:0.48; 95 % confidence interval [CI]:0.39–0.58) or higher (aOR:0.57; 95 %CI:0.42–0.78); belonging to the second (aOR:0.26; 95 %CI:0.20–0.33), third (aOR:0.28; 95 %CI:0.21–0.38), fourth (aOR:0.21; 95 %CI:0.13–0.33), or fifth wealth quintile (aOR:0.15; 95 %CI:0.09–0.27); and suffering intimate partner violence (aOR:0.76; 95 %CI:0.64–0.91) were associated with lower odds of non-institutional delivery, while not having some type of health insurance (aOR:3.12; 95 %CI:2.47–3.95), living in a rural area (aOR:1.93; 95 %CI:1.54–2.42), and having had three or more deliveries (aOR:1.36; 95 %CI:1.07–1.72), were associated with higher odds of non-institutional delivery.</p></div><div><h3>Conclusions</h3><p>We found that not having health insurance, residing in a rural area, and having had three or more deliveries were factors associated with non-institutional delivery in women of childbearing age. We propose that should focus public health strategies towards providing education to women about maternal health, and likewise, facilitating access to specialized health centers for rural populations.</p></div>","PeriodicalId":37085,"journal":{"name":"European Journal of Obstetrics and Gynecology and Reproductive Biology: X","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628643/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Obstetrics and Gynecology and Reproductive Biology: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590161323000753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

We aimed to evaluate the determinants of non-institutional delivery among women of childbearing age in Peru.

Methods

We conducted a secondary analysis of data from the Peru 2019 Demographic and Family Health Survey (ENDES). This multi-stage survey sampling is representative at the urban-rural, regional, and national levels. The outcome variable was place of delivery, collected by self-reporting. Binary logistic regression models were used to assess the factors associated with non-institutionalized delivery. Thus, we estimated crude and adjusted odd ratios (aOR). For the multivariable model, the manual forward selection method and the Wald test were used to obtain a final parsimonious model.

Results

The final sample included 14,061 women of reproductive age between the ages of 15 and 49. The prevalence of non-institutional delivery was 7.8 %. Multivariate regression analysis found that having a secondary education (aOR:0.48; 95 % confidence interval [CI]:0.39–0.58) or higher (aOR:0.57; 95 %CI:0.42–0.78); belonging to the second (aOR:0.26; 95 %CI:0.20–0.33), third (aOR:0.28; 95 %CI:0.21–0.38), fourth (aOR:0.21; 95 %CI:0.13–0.33), or fifth wealth quintile (aOR:0.15; 95 %CI:0.09–0.27); and suffering intimate partner violence (aOR:0.76; 95 %CI:0.64–0.91) were associated with lower odds of non-institutional delivery, while not having some type of health insurance (aOR:3.12; 95 %CI:2.47–3.95), living in a rural area (aOR:1.93; 95 %CI:1.54–2.42), and having had three or more deliveries (aOR:1.36; 95 %CI:1.07–1.72), were associated with higher odds of non-institutional delivery.

Conclusions

We found that not having health insurance, residing in a rural area, and having had three or more deliveries were factors associated with non-institutional delivery in women of childbearing age. We propose that should focus public health strategies towards providing education to women about maternal health, and likewise, facilitating access to specialized health centers for rural populations.

Abstract Image

非机构分娩的决定因素:来自秘鲁人口和健康调查的证据。
目的:我们旨在评估秘鲁育龄妇女非机构分娩的决定因素。方法:我们对秘鲁2019年人口和家庭健康调查(ENDES)的数据进行了二次分析。这种多阶段调查抽样在城乡、地区和国家层面具有代表性。结果变量是通过自我报告收集的分娩地点。二元逻辑回归模型用于评估与非住院分娩相关的因素。因此,我们估计了原油和调整后的奇数比(aOR)。对于多变量模型,使用手动正向选择方法和Wald检验来获得最终的简约模型。结果:最终样本包括14061名年龄在15岁至49岁之间的育龄妇女。非机构分娩的发生率为7.8%。多元回归分析发现,受过中等教育(aOR:0.48;95%置信区间[CI]:0.39-0.58)或更高(aOR:0.57;95%可信区间:0.42-0.78);属于第二财富五分位数(aOR:0.26;95%CI:0.20-0.33)、第三财富五分之一(aOR=0.28;95%CI:0.21-0.38)、第四财富五分位位数(aOR:0.21;95%CI:0.13-0.33)或第五财富五分位组(aOR:0.15;95%CI:0.09-0.27);和遭受亲密伴侣暴力(aOR:0.76;95%CI:0.64-0.91)与非机构分娩的几率较低有关,而没有某种类型的医疗保险(aOR:3.12;95%CI:2.47-3.95)、生活在农村地区(aOR:1.93;95%CI:1.54-2.42)和有三次或三次以上分娩(aOR=1.36;95%CI:1.07-1.72)与非医院分娩的几率较高有关。结论:我们发现,没有医疗保险、居住在农村地区以及有三次或三次以上分娩是育龄妇女非机构分娩的相关因素。我们建议,应将公共卫生战略的重点放在向妇女提供孕产妇健康教育上,同样,为农村人口进入专门的卫生中心提供便利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.20
自引率
0.00%
发文量
31
审稿时长
58 days
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信