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孕产妇保健利用、妇女赋权与分娩护理:印度的地理差异

Maternal healthcare utilisation, women empowerment, and delivery care: geographical variations in India.

作者信息

Verma Prachi, Meitei Ningombam Sanjib, Khanganba Sanjram Premjit

机构信息

Human Factors & Applied Cognition Lab, Indian Institute of Technology Indore, Indore, 453552, India.

Discipline of Psychology, Indian Institute of Technology Indore, Indore, 453552, India.

出版信息

Res Health Serv Reg. 2025 May 7;4(1):5. doi: 10.1007/s43999-025-00063-3.

Abstract

This study utilises the National Family Health Survey- 5 (NHFS-5) data to compare performance in three key indicators called pillars of maternal health, namely-Maternal Healthcare Utilisation (MHU), Women Empowerment (WE), and Delivery Care (DC) across six zones of India: East, West, North, South, Central, and Northeast. It employs the Statistical Performance Index (SPI) by the World Bank to calculate zonal scores for the pillars. Univariate and multivariate statistical analyses reveal significant zonal disparities in all the three pillars (MHU: p < .001, WE: p < .002, and DC: p < .010). Northeast zone has the lowest MHU score (M = 56.52) and the second-lowest DC score (M = 46.60), despite having the second highest WE score (M = 66.37), only behind the South zone which leads in all pillars (MHU; M = 80.38, WE; M = 69.21, and DC; M = 57.60). WE accounts for only a small part of the variability in MHU (R= .166), indicating that WE alone is insufficient to improve MHU outcomes. This study emphasises the need for further exploration of factors such as difficult terrains and low hospital density, especially in the Northeast zone.

摘要

本研究利用《国家家庭健康调查-5》(NHFS-5)数据,比较印度六个地区(东部、西部、北部、南部、中部和东北部)在被称为孕产妇健康支柱的三个关键指标方面的表现,即孕产妇医疗保健利用情况(MHU)、妇女赋权(WE)和分娩护理(DC)。研究采用世界银行的统计绩效指数(SPI)来计算各支柱的地区得分。单变量和多变量统计分析显示,所有三个支柱均存在显著的地区差异(MHU:p <.001,WE:p <.002,DC:p <.010)。东北部地区的MHU得分最低(M = 56.52),DC得分第二低(M = 46.60),尽管其WE得分第二高(M = 66.37),仅次于在所有支柱方面均领先的南部地区(MHU;M = 80.38,WE;M = 69.21,DC;M = 57.60)。妇女赋权在孕产妇医疗保健利用情况的变异性中仅占一小部分(R =.166),这表明仅靠妇女赋权不足以改善孕产妇医疗保健利用情况的结果。本研究强调需要进一步探索诸如地形复杂和医院密度低等因素,特别是在东北部地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad58/12055738/409fc8d667c7/43999_2025_63_Fig1_HTML.jpg

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本文引用的文献

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