A comprehensive health index for India: development, validation, and spatial variation

Author:

Sehgal MeenaORCID,Jatrana SantoshORCID,Johnson Louise

Abstract

AbstractThis paper presents the development, testing, and spatial variation of an innovative India Health Index. Unlike previous approaches that focused on specific health aspects (e.g., health resources, child health, or health coverage), our index takes a comprehensive and multi-dimensional approach. It covers indicators across various life stages: child, adolescent, and adult. It encompasses six domains influencing health: socio-cultural factors, health status, health determinants (both risk and protective factors), household environment, and health system and policy. We used data from the latest round of the National Family Health Survey and employed Principal Component Analysis for constructing the India Health Index. Subsequent statistical tests confirmed its internal reliability and construct validity. External validity was indicated by its association with under-five mortality rates, and the sub-national human development index for India. Spatial analyses revealed significant inter-district and inter-state variation in India Health Index scores. The findings underscore the utility of the India Health Index as a measurement tool and its potential for tracking progress and policy intervention for improving health equity in India.

Funder

Deakin University

Publisher

Springer Science and Business Media LLC

Reference86 articles.

1. Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wires Computational Statistics, 2(4), 433–459.

2. Aimbetova, G., Dossybayeva, G., Suleimenova, R., Turgambayeva, A., & Turgambayeva, A. (2022). Life expectancy as a quality of life indicator. Iranian Journal of Public Health, 51(5), 1195–1197.

3. Anselin, L., & Bera, A. K. (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics. Handbook of applied economic statistics. A. Ullah & D. E. A. Giles. New York, Marcel Dekker, pp. 237–289.

4. Antony, G. M., & Visweswara Rao, K. (2007). A composite index to explain variations in poverty, health, nutritional status and standard of living: Use of multivariate statistical methods. Public Health, 121(8), 578–587.

5. Ashraf, K., Ng, C. J., Teo, C. H., & Goh, K. L. (2019). Population indices measuring health outcomes: A scoping review. Journal of Global Health, 9(1), 010405–010405.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3