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Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey

BACKGROUND: While the gender disparity in health and mortality in various stages of life in India is well documented, there is limited evidence on female disadvantage in health-care expenditure (HCE). AIMS: Examine the gender difference in HCE in short-term and major morbidity in India, and understa...

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Autores principales: Saikia, Nandita, Moradhvaj, Bora, Jayanta Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938214/
https://www.ncbi.nlm.nih.gov/pubmed/27391322
http://dx.doi.org/10.1371/journal.pone.0158332
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author Saikia, Nandita
Moradhvaj,
Bora, Jayanta Kumar
author_facet Saikia, Nandita
Moradhvaj,
Bora, Jayanta Kumar
author_sort Saikia, Nandita
collection PubMed
description BACKGROUND: While the gender disparity in health and mortality in various stages of life in India is well documented, there is limited evidence on female disadvantage in health-care expenditure (HCE). AIMS: Examine the gender difference in HCE in short-term and major morbidity in India, and understand the role of factors underlying the difference. DATA AND METHODS: Using two rounds of nationally representative panel data—the India Human Development Survey (IHDS) 2004–2005 and 2011–2012 (IHDS I & II)—we calculate morbidity prevalence rate and mean HCE by gender, and examine the adjusted effect of gender on major morbidity-related HCE by using a two-part regression model. Further, we performed Oaxaca-Blinder decomposition of the gender gap in HCE in major morbidity to understand the contribution of demographic and socio-economic factors. RESULTS: Health-care expenditure on females was systematically lower than on males across all demographic and socio-economic groups. Multivariate analysis confirms that female HCE is significantly lower than male HCE even after controlling demographic and socio-economic factors (β = -0.148, p = 0.000, CI:-0.206–0.091). For both short-term and major morbidity, a female disadvantage on HCE increased from IHDS I to IHDS II. For instance, the male–female gap in major morbidity related expenditure increased from INR 1298 to INR 4172. A decomposition analysis of gender gap in HCE demonstrates that about 48% of the gap is attributable to differences in demographic and socio-economic factors (endowment effect), whereas 50% of the gap is due to the differential effect of the determinants (coefficient effect). INTERPRETATION: Indians spend less on female health care than on male health care. Most of the gender gap in HCE is not due to differential distribution of factors affecting HCE.
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spelling pubmed-49382142016-07-22 Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey Saikia, Nandita Moradhvaj, Bora, Jayanta Kumar PLoS One Research Article BACKGROUND: While the gender disparity in health and mortality in various stages of life in India is well documented, there is limited evidence on female disadvantage in health-care expenditure (HCE). AIMS: Examine the gender difference in HCE in short-term and major morbidity in India, and understand the role of factors underlying the difference. DATA AND METHODS: Using two rounds of nationally representative panel data—the India Human Development Survey (IHDS) 2004–2005 and 2011–2012 (IHDS I & II)—we calculate morbidity prevalence rate and mean HCE by gender, and examine the adjusted effect of gender on major morbidity-related HCE by using a two-part regression model. Further, we performed Oaxaca-Blinder decomposition of the gender gap in HCE in major morbidity to understand the contribution of demographic and socio-economic factors. RESULTS: Health-care expenditure on females was systematically lower than on males across all demographic and socio-economic groups. Multivariate analysis confirms that female HCE is significantly lower than male HCE even after controlling demographic and socio-economic factors (β = -0.148, p = 0.000, CI:-0.206–0.091). For both short-term and major morbidity, a female disadvantage on HCE increased from IHDS I to IHDS II. For instance, the male–female gap in major morbidity related expenditure increased from INR 1298 to INR 4172. A decomposition analysis of gender gap in HCE demonstrates that about 48% of the gap is attributable to differences in demographic and socio-economic factors (endowment effect), whereas 50% of the gap is due to the differential effect of the determinants (coefficient effect). INTERPRETATION: Indians spend less on female health care than on male health care. Most of the gender gap in HCE is not due to differential distribution of factors affecting HCE. Public Library of Science 2016-07-08 /pmc/articles/PMC4938214/ /pubmed/27391322 http://dx.doi.org/10.1371/journal.pone.0158332 Text en © 2016 Saikia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Saikia, Nandita
Moradhvaj,
Bora, Jayanta Kumar
Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey
title Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey
title_full Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey
title_fullStr Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey
title_full_unstemmed Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey
title_short Gender Difference in Health-Care Expenditure: Evidence from India Human Development Survey
title_sort gender difference in health-care expenditure: evidence from india human development survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938214/
https://www.ncbi.nlm.nih.gov/pubmed/27391322
http://dx.doi.org/10.1371/journal.pone.0158332
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