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Determinants of health insurance ownership among South African women

BACKGROUND: Studies conducted in developed countries using economic models show that individual- and household- level variables are important determinants of health insurance ownership. There is however a dearth of such studies in sub-Saharan Africa. The objective of this study was to examine the re...

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Autores principales: Kirigia, Joses M, Sambo, Luis G, Nganda, Benjamin, Mwabu, Germano M, Chatora, Rufaro, Mwase, Takondwa
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC553985/
https://www.ncbi.nlm.nih.gov/pubmed/15733326
http://dx.doi.org/10.1186/1472-6963-5-17
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author Kirigia, Joses M
Sambo, Luis G
Nganda, Benjamin
Mwabu, Germano M
Chatora, Rufaro
Mwase, Takondwa
author_facet Kirigia, Joses M
Sambo, Luis G
Nganda, Benjamin
Mwabu, Germano M
Chatora, Rufaro
Mwase, Takondwa
author_sort Kirigia, Joses M
collection PubMed
description BACKGROUND: Studies conducted in developed countries using economic models show that individual- and household- level variables are important determinants of health insurance ownership. There is however a dearth of such studies in sub-Saharan Africa. The objective of this study was to examine the relationship between health insurance ownership and the demographic, economic and educational characteristics of South African women. METHODS: The analysis was based on data from a cross-sectional national household sample derived from the South African Health Inequalities Survey (SANHIS). The study subjects consisted of 3,489 women, aged between 16 and 64 years. It was a non-interventional, qualitative response econometric study. The outcome measure was the probability of a respondent's ownership of a health insurance policy. RESULTS: The χ(2 )test for goodness of fit indicated satisfactory prediction of the estimated logit model. The coefficients of the covariates for area of residence, income, education, environment rating, age, smoking and marital status were positive, and all statistically significant at p ≤ 0.05. Women who had standard 10 education and above (secondary), high incomes and lived in affluent provinces and permanent accommodations, had a higher likelihood of being insured. CONCLUSION: Poverty reduction programmes aimed at increasing women's incomes in poor provinces; improving living environment (e.g. potable water supplies, sanitation, electricity and housing) for women in urban informal settlements; enhancing women's access to education; reducing unemployment among women; and increasing effective coverage of family planning services, will empower South African women to reach a higher standard of living and in doing so increase their economic access to health insurance policies and the associated health services.
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spelling pubmed-5539852005-03-11 Determinants of health insurance ownership among South African women Kirigia, Joses M Sambo, Luis G Nganda, Benjamin Mwabu, Germano M Chatora, Rufaro Mwase, Takondwa BMC Health Serv Res Research Article BACKGROUND: Studies conducted in developed countries using economic models show that individual- and household- level variables are important determinants of health insurance ownership. There is however a dearth of such studies in sub-Saharan Africa. The objective of this study was to examine the relationship between health insurance ownership and the demographic, economic and educational characteristics of South African women. METHODS: The analysis was based on data from a cross-sectional national household sample derived from the South African Health Inequalities Survey (SANHIS). The study subjects consisted of 3,489 women, aged between 16 and 64 years. It was a non-interventional, qualitative response econometric study. The outcome measure was the probability of a respondent's ownership of a health insurance policy. RESULTS: The χ(2 )test for goodness of fit indicated satisfactory prediction of the estimated logit model. The coefficients of the covariates for area of residence, income, education, environment rating, age, smoking and marital status were positive, and all statistically significant at p ≤ 0.05. Women who had standard 10 education and above (secondary), high incomes and lived in affluent provinces and permanent accommodations, had a higher likelihood of being insured. CONCLUSION: Poverty reduction programmes aimed at increasing women's incomes in poor provinces; improving living environment (e.g. potable water supplies, sanitation, electricity and housing) for women in urban informal settlements; enhancing women's access to education; reducing unemployment among women; and increasing effective coverage of family planning services, will empower South African women to reach a higher standard of living and in doing so increase their economic access to health insurance policies and the associated health services. BioMed Central 2005-02-28 /pmc/articles/PMC553985/ /pubmed/15733326 http://dx.doi.org/10.1186/1472-6963-5-17 Text en Copyright © 2005 Kirigia et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kirigia, Joses M
Sambo, Luis G
Nganda, Benjamin
Mwabu, Germano M
Chatora, Rufaro
Mwase, Takondwa
Determinants of health insurance ownership among South African women
title Determinants of health insurance ownership among South African women
title_full Determinants of health insurance ownership among South African women
title_fullStr Determinants of health insurance ownership among South African women
title_full_unstemmed Determinants of health insurance ownership among South African women
title_short Determinants of health insurance ownership among South African women
title_sort determinants of health insurance ownership among south african women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC553985/
https://www.ncbi.nlm.nih.gov/pubmed/15733326
http://dx.doi.org/10.1186/1472-6963-5-17
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