• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Prevalence and determinants of home delivery in urban and rural Philippines: Evidence from the 2017 National Demographic and Health Survey.菲律宾城乡地区家庭分娩的流行情况及决定因素:来自 2017 年全国人口与健康调查的证据。
Womens Health (Lond). 2022 Jan-Dec;18:17455057221117957. doi: 10.1177/17455057221117957.
2
Health facility or home delivery? Factors influencing the choice of delivery place among mothers living in rural communities of Eritrea.医疗机构分娩还是在家分娩?影响厄立特里亚农村社区母亲分娩地点选择的因素。
J Health Popul Nutr. 2018 Oct 22;37(1):22. doi: 10.1186/s41043-018-0153-1.
3
Prevalence of institutional delivery and its correlates amongst women of reproductive age in Mozambique: a cross-sectional analysis.莫桑比克育龄妇女的机构分娩率及其相关因素:一项横断面分析。
Reprod Health. 2020 Apr 16;17(1):49. doi: 10.1186/s12978-020-0905-4.
4
Predictors of institutional delivery service utilization among women of reproductive age in Gambia: a cross-sectional analysis.冈比亚育龄妇女利用机构分娩服务的影响因素:一项横断面分析。
BMC Pregnancy Childbirth. 2020 Mar 30;20(1):187. doi: 10.1186/s12884-020-02881-4.
5
Utilization of decentralized health facilities and factors influencing women's choice of a delivery site in Gida Ayana Woreda, western Ethiopia.分散式卫生设施的利用及其对女性分娩地点选择的影响——以埃塞俄比亚西部吉达阿亚纳地区为例。
PLoS One. 2019 May 17;14(5):e0216714. doi: 10.1371/journal.pone.0216714. eCollection 2019.
6
Price and income elasticities of demand for modern health care: the case of infant delivery in the Philippines.现代医疗保健需求的价格和收入弹性:以菲律宾的婴儿分娩为例。
World Bank Econ Rev. 1988 Jan;2(1):49-76. doi: 10.1093/wber/2.1.49.
7
Rural-urban differences in the use of postnatal care services in Malawi.马拉维产后护理服务使用情况的城乡差异。
J Egypt Public Health Assoc. 2017 Mar 1;92(1):1-10. doi: 10.21608/epx.2017.7003.
8
Why do women deliver at home? Multilevel modeling of Ethiopian National Demographic and Health Survey data.为什么女性会在家分娩?基于埃塞俄比亚全国人口与健康调查数据的多层次建模。
PLoS One. 2015 Apr 15;10(4):e0124718. doi: 10.1371/journal.pone.0124718. eCollection 2015.
9
Factors associated with non-utilisation of health service for childbirth in Timor-Leste: evidence from the 2009-2010 Demographic and Health Survey.东帝汶分娩时未利用卫生服务的相关因素:来自2009 - 2010年人口与健康调查的证据。
BMC Int Health Hum Rights. 2014 May 5;14:14. doi: 10.1186/1472-698X-14-14.
10
Home childbirth among young mothers aged 15-24 years in Nigeria: a national population-based cross-sectional study.尼日利亚15至24岁年轻母亲的家庭分娩情况:一项基于全国人口的横断面研究。
BMJ Open. 2019 Sep 18;9(9):e025494. doi: 10.1136/bmjopen-2018-025494.

引用本文的文献

1
Home birth and its associated factors among mothers aged 15-49 years in Somalia: a nationwide population-based cross-sectional study.索马里15至49岁母亲的家庭分娩及其相关因素:一项基于全国人口的横断面研究。
BMC Womens Health. 2025 Aug 15;25(1):394. doi: 10.1186/s12905-025-03781-5.
2
Women's health facility choices for antenatal, delivery, and postnatal care in Eastern Visayas, Philippines.菲律宾东米沙鄢地区产前、分娩及产后护理的女性健康设施选择
Front Glob Womens Health. 2025 Jul 24;6:1575896. doi: 10.3389/fgwh.2025.1575896. eCollection 2025.
3
Predicting home delivery and identifying its determinants among women aged 15-49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016-2023: a machine learning algorithm.利用2016 - 2023年人口与健康调查,通过机器学习算法预测撒哈拉以南非洲国家15 - 49岁女性的家庭分娩情况并确定其决定因素。
BMC Public Health. 2025 Jan 24;25(1):302. doi: 10.1186/s12889-025-21334-1.
4
Regional trends, spatial patterns and determinants of health facility delivery among women of reproductive age in Nigeria: A national population based cross-sectional study.尼日利亚育龄妇女的分娩机构选择的区域趋势、空间模式和决定因素:一项全国性基于人群的横断面研究。
PLoS One. 2024 Oct 16;19(10):e0312005. doi: 10.1371/journal.pone.0312005. eCollection 2024.
5
Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016-2021 DHS data.低收入和中等收入国家的妇女在医疗机构接受产前护理,但并非在那里分娩:对2016 - 2021年人口与健康调查数据的多层次分析。
Trop Med Health. 2024 Jan 2;52(1):1. doi: 10.1186/s41182-023-00561-5.
6
Home delivery among women who had optimal ANC follow-up in Sub-Saharan Africa: A multilevel analysis.撒哈拉以南非洲地区接受最佳 ANC 随访的妇女的家庭分娩:一项多水平分析。
PLoS One. 2023 Nov 30;18(11):e0295289. doi: 10.1371/journal.pone.0295289. eCollection 2023.

本文引用的文献

1
Factors affecting retention in the Philippine National Rural Physician Deployment Program from 2012 to 2019: a mixed methods study.2012 年至 2019 年菲律宾国家农村医生部署计划人员保留的影响因素:混合方法研究。
BMC Health Serv Res. 2021 Nov 5;21(1):1201. doi: 10.1186/s12913-021-07219-0.
2
Negative Incentives for Noninstitutional Births Are Associated With a Higher Rate of Facility-Based Births in the Eastern Visaya Region, Philippines.在菲律宾东维萨亚地区,对非机构分娩采取的负面激励措施与更高的医疗机构分娩率相关。
Glob Health Sci Pract. 2021 Sep 30;9(3):565-574. doi: 10.9745/GHSP-D-20-00616.
3
Urban-rural disparities in institutional delivery among women in East Africa: A decomposition analysis.东非地区城乡女性机构分娩差异的分解分析。
PLoS One. 2021 Jul 30;16(7):e0255094. doi: 10.1371/journal.pone.0255094. eCollection 2021.
4
Urban-rural disparities of antenatal care in South East Asia: a case study in the Philippines and Indonesia.东南亚地区产前护理的城乡差异:以菲律宾和印度尼西亚为例
BMC Public Health. 2021 Jun 24;21(1):1221. doi: 10.1186/s12889-021-11318-2.
5
Determinants of home deliveries - Findings from India DLHS 4 analysis.家庭分娩的决定因素——来自印度第四次全国家庭健康调查分析的结果
J Family Med Prim Care. 2020 Sep 30;9(9):4723-4728. doi: 10.4103/jfmpc.jfmpc_751_20. eCollection 2020 Sep.
6
Determinants for choice of home birth over health facility birth among women of reproductive age in Tanzania: an analysis of data from the 2015-16 Tanzania demographic and health survey and malaria indicator survey.坦桑尼亚育龄妇女选择在家分娩而非在医疗机构分娩的决定因素:对2015 - 16年坦桑尼亚人口与健康调查及疟疾指标调查数据的分析
BMC Pregnancy Childbirth. 2020 Sep 24;20(1):561. doi: 10.1186/s12884-020-03266-3.
7
Prevalence and Determinants of Rural-Urban Utilization of Skilled Delivery Services in Northern Ghana.加纳北部农村与城市地区熟练接生服务利用情况的患病率及决定因素
Scientifica (Cairo). 2020 May 10;2020:9373476. doi: 10.1155/2020/9373476. eCollection 2020.
8
Determinants of home delivery in Nepal - A disaggregated analysis of marginalised and non-marginalised women from the 2016 Nepal Demographic and Health Survey.尼泊尔家庭分娩的决定因素 - 2016 年尼泊尔人口与健康调查中边缘化和非边缘化妇女的细分分析。
PLoS One. 2020 Jan 30;15(1):e0228440. doi: 10.1371/journal.pone.0228440. eCollection 2020.
9
The impact of monetary incentives on referrals by traditional birth attendants for postnatal care in Nigeria.货币激励对尼日利亚传统助产士转介产后护理的影响。
BMC Pregnancy Childbirth. 2019 May 20;19(1):150. doi: 10.1186/s12884-019-2313-8.
10
Birth preparedness and determinants of birth place among migrants living in slums and slum-like pockets in Delhi, India.印度德里贫民窟及类似贫民窟地区移民的生育准备情况和分娩地点的决定因素。
Sex Reprod Healthc. 2018 Jun;16:160-166. doi: 10.1016/j.srhc.2018.04.004. Epub 2018 Apr 9.

菲律宾城乡地区家庭分娩的流行情况及决定因素:来自 2017 年全国人口与健康调查的证据。

Prevalence and determinants of home delivery in urban and rural Philippines: Evidence from the 2017 National Demographic and Health Survey.

机构信息

School of Medicine and Public Health, Ateneo de Manila University, Pasig City, Philippines.

National Clinical Trials and Translation Center, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.

出版信息

Womens Health (Lond). 2022 Jan-Dec;18:17455057221117957. doi: 10.1177/17455057221117957.

DOI:10.1177/17455057221117957
PMID:35959869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9379564/
Abstract

BACKGROUND

Women's choice of place of delivery has implications on maternal and child mortality. This study aims to provide an updated and detailed comparison of prevalence and determinants of home delivery in the Philippines, and in urban and rural communities.

METHODS

Based on data from the 2017 Philippine National Demographic and Health Survey (NDHS), we estimated the prevalence of home delivery and determined factors influencing women's decision to deliver at home. Analyses were restricted to data from 7229 women who were cohabiting or married, and their last-born child using logistic regression methods for survey data.

RESULTS

There remain a considerable proportion of women aged 15-49 years old who delivered at home (17.92% (95% confidence interval (CI): 15.77, 20.30)). More women in rural areas delivered at home (23.53% (95% CI: 20.38, 26.99)) than their counterparts in urban areas (10.72% (95% CI: 8.23, 13.85)), reflecting a significant difference in the home delivery prevalence of women relative to their place of residence. Our regression analyses showed that there is a relatively greater effect observed for the rural population in most of the proximal factors considered including birth order, women's decision-making power, and emergency preparedness during pregnancy. Wealth index has the most pronounced effect with a significant increase in odds of home delivery among urban and rural women of the lowest wealth categories.

CONCLUSION

The use of institutional childbirth services remains suboptimal in the Philippines with significant disparities between urban and rural communities. Current strategies therefore need to adopt a multi-sectoral approach to address the complex factors influencing women's decision on place of delivery. Targeted efforts specific to population groups should also be made to contextualize and co-create health care services and solutions that will motivate them to deliver in health facilities.

摘要

背景

妇女选择分娩地点会对母婴死亡率产生影响。本研究旨在提供菲律宾、城市和农村地区家庭分娩的流行率和决定因素的最新和详细比较。

方法

基于 2017 年菲律宾全国人口与健康调查(NDHS)的数据,我们估计了家庭分娩的流行率,并确定了影响妇女选择在家分娩的因素。分析仅限于数据来自 7229 名同居或已婚的妇女及其最后出生的孩子,使用逻辑回归方法对调查数据进行分析。

结果

仍有相当一部分 15-49 岁的妇女在家分娩(17.92%(95%置信区间(CI):15.77,20.30))。农村地区的妇女在家分娩的比例(23.53%(95%CI:20.38,26.99))高于城市地区的妇女(10.72%(95%CI:8.23,13.85)),这反映了妇女相对于居住地的家庭分娩流行率存在显著差异。我们的回归分析表明,在所考虑的大多数近端因素中,农村人口的影响相对较大,包括出生顺序、妇女的决策权以及怀孕期间的应急准备。财富指数的影响最为明显,在城市和农村地区最贫穷的妇女中,家庭分娩的几率显著增加。

结论

菲律宾利用机构分娩服务的情况仍不理想,城乡社区之间存在显著差异。因此,当前的战略需要采取多部门的方法来解决影响妇女分娩地点选择的复杂因素。还应针对特定人群组采取有针对性的努力,针对具体情况制定和共同创造医疗保健服务和解决方案,以激励他们在卫生设施中分娩。