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Impoverishing effects of out-of-pocket healthcare expenditures in India

BACKGROUND: Out of the 1.324 billion people in India (2016), around 12.4% of the population is below the poverty line. In India, out-of-pocket health expenditure (OOP) expenses account for about 62.6% of total health expenditure – one of the highest in the world. High OOP health expenditures push ma...

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Autores principales: Sriram, Shyamkumar, Albadrani, Muayad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041239/
https://www.ncbi.nlm.nih.gov/pubmed/36993034
http://dx.doi.org/10.4103/jfmpc.jfmpc_590_22
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author Sriram, Shyamkumar
Albadrani, Muayad
author_facet Sriram, Shyamkumar
Albadrani, Muayad
author_sort Sriram, Shyamkumar
collection PubMed
description BACKGROUND: Out of the 1.324 billion people in India (2016), around 12.4% of the population is below the poverty line. In India, out-of-pocket health expenditure (OOP) expenses account for about 62.6% of total health expenditure – one of the highest in the world. High OOP health expenditures push many households into poverty. This study aims to identify the impoverishing effects of OOP health expenditures in India. METHODS: Data from the recent national survey by the National Sample Survey Organization – Social Consumption in Health 2014 are used to investigate the effect of OOP health expenditure on household poverty. Poverty headcounts and poverty gaps were estimated at the household level before and after making OOP healthcare payments. A logistic regression model is for predicting the effect of various factors on the incidence of impoverishment due to OOP health expenditures. RESULTS: There were 65,932 households in the sample. The total poverty headcount in the population before making OOP payments was 16.44% and it increased to 19.05% after making OOP payments. This 2.61% increase in the poverty headcount corresponds to 6.47 million households. Logistic regression results showed that medium and large households, household members with increased duration of stay in the hospital, utilization of private health facility and the presence of chronic illness increased odds of impoverishment due to OOP health expenditures. CONCLUSIONS: Health insurance programmes must be expanded to cover outpatient and preventive health services, include people above the poverty line, cover the whole household irrespective of the number of members living in the household and the coverage threshold limits must be increased. Urban poor must be enrolled in health insurance programmes without any delay.
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spelling pubmed-100412392023-03-28 Impoverishing effects of out-of-pocket healthcare expenditures in India Sriram, Shyamkumar Albadrani, Muayad J Family Med Prim Care Original Article BACKGROUND: Out of the 1.324 billion people in India (2016), around 12.4% of the population is below the poverty line. In India, out-of-pocket health expenditure (OOP) expenses account for about 62.6% of total health expenditure – one of the highest in the world. High OOP health expenditures push many households into poverty. This study aims to identify the impoverishing effects of OOP health expenditures in India. METHODS: Data from the recent national survey by the National Sample Survey Organization – Social Consumption in Health 2014 are used to investigate the effect of OOP health expenditure on household poverty. Poverty headcounts and poverty gaps were estimated at the household level before and after making OOP healthcare payments. A logistic regression model is for predicting the effect of various factors on the incidence of impoverishment due to OOP health expenditures. RESULTS: There were 65,932 households in the sample. The total poverty headcount in the population before making OOP payments was 16.44% and it increased to 19.05% after making OOP payments. This 2.61% increase in the poverty headcount corresponds to 6.47 million households. Logistic regression results showed that medium and large households, household members with increased duration of stay in the hospital, utilization of private health facility and the presence of chronic illness increased odds of impoverishment due to OOP health expenditures. CONCLUSIONS: Health insurance programmes must be expanded to cover outpatient and preventive health services, include people above the poverty line, cover the whole household irrespective of the number of members living in the household and the coverage threshold limits must be increased. Urban poor must be enrolled in health insurance programmes without any delay. Wolters Kluwer - Medknow 2022-11 2022-12-16 /pmc/articles/PMC10041239/ /pubmed/36993034 http://dx.doi.org/10.4103/jfmpc.jfmpc_590_22 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sriram, Shyamkumar
Albadrani, Muayad
Impoverishing effects of out-of-pocket healthcare expenditures in India
title Impoverishing effects of out-of-pocket healthcare expenditures in India
title_full Impoverishing effects of out-of-pocket healthcare expenditures in India
title_fullStr Impoverishing effects of out-of-pocket healthcare expenditures in India
title_full_unstemmed Impoverishing effects of out-of-pocket healthcare expenditures in India
title_short Impoverishing effects of out-of-pocket healthcare expenditures in India
title_sort impoverishing effects of out-of-pocket healthcare expenditures in india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041239/
https://www.ncbi.nlm.nih.gov/pubmed/36993034
http://dx.doi.org/10.4103/jfmpc.jfmpc_590_22
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