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Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18
BACKGROUND: Estimates of catastrophic health expenditure (CHE) are counterintuitive to researchers, policy makers, and developmental partners due to data and methodological limitation. While inferences drawn from use of capacity-to-pay (CTP) and budget share (BS) approaches are inconsistent, the non...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981828/ https://www.ncbi.nlm.nih.gov/pubmed/33743735 http://dx.doi.org/10.1186/s12939-021-01421-6 |
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author | Mohanty, Sanjay K. Dwivedi, Laxmi Kant |
author_facet | Mohanty, Sanjay K. Dwivedi, Laxmi Kant |
author_sort | Mohanty, Sanjay K. |
collection | PubMed |
description | BACKGROUND: Estimates of catastrophic health expenditure (CHE) are counterintuitive to researchers, policy makers, and developmental partners due to data and methodological limitation. While inferences drawn from use of capacity-to-pay (CTP) and budget share (BS) approaches are inconsistent, the non-availability of data on food expenditure in the health survey in India is an added limitation. METHODS: Using data from the health and consumption surveys of National Sample Surveys over 14 years, we have overcome these limitations and estimated the incidence and intensity of CHE and impoverishment using the CTP approach. RESULTS: The incidence of CHE for health services in India was 12.5% in 2004, 13.4% in 2014 and 9.1% by 2018. Among those households incurring CHE, they spent 1.25 times of their capacity to pay in 2004 (intensity of CHE), 1.71 times in 2014 and 1.31 times by 2018. The impoverishment due to health spending was 4.8% in 2004, 5.1% in 2014 and 3.3% in 2018. The state variations in incidence and intensity of CHE and incidence of impoverishment is large. The concentration index (CI) of CHE was − 0.16 in 2004, − 0.18 in 2014 and − 0.22 in 2018 suggesting increasing inequality over time. The concentration curves based on CTP approach suggests that the CHE was concentrated among poor. The odds of incurring CHE were lowest among the richest households [OR 0.22; 95% CI: 0.21, 0.24], households with elderly members [OR 1.20; 95% CI:1.12, 1.18] and households using both inpatient and outpatient services [OR 2.80, 95% CI 2.66, 2.95]. Access to health insurance reduced the chance of CHE and impoverishment among the richest households. The pattern of impoverishment was similar to that of CHE. CONCLUSION: In the last 14 years, the CHE and impoverishment in India has declined while inequality in CHE has increased. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01421-6. |
format | Online Article Text |
id | pubmed-7981828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79818282021-03-22 Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 Mohanty, Sanjay K. Dwivedi, Laxmi Kant Int J Equity Health Research BACKGROUND: Estimates of catastrophic health expenditure (CHE) are counterintuitive to researchers, policy makers, and developmental partners due to data and methodological limitation. While inferences drawn from use of capacity-to-pay (CTP) and budget share (BS) approaches are inconsistent, the non-availability of data on food expenditure in the health survey in India is an added limitation. METHODS: Using data from the health and consumption surveys of National Sample Surveys over 14 years, we have overcome these limitations and estimated the incidence and intensity of CHE and impoverishment using the CTP approach. RESULTS: The incidence of CHE for health services in India was 12.5% in 2004, 13.4% in 2014 and 9.1% by 2018. Among those households incurring CHE, they spent 1.25 times of their capacity to pay in 2004 (intensity of CHE), 1.71 times in 2014 and 1.31 times by 2018. The impoverishment due to health spending was 4.8% in 2004, 5.1% in 2014 and 3.3% in 2018. The state variations in incidence and intensity of CHE and incidence of impoverishment is large. The concentration index (CI) of CHE was − 0.16 in 2004, − 0.18 in 2014 and − 0.22 in 2018 suggesting increasing inequality over time. The concentration curves based on CTP approach suggests that the CHE was concentrated among poor. The odds of incurring CHE were lowest among the richest households [OR 0.22; 95% CI: 0.21, 0.24], households with elderly members [OR 1.20; 95% CI:1.12, 1.18] and households using both inpatient and outpatient services [OR 2.80, 95% CI 2.66, 2.95]. Access to health insurance reduced the chance of CHE and impoverishment among the richest households. The pattern of impoverishment was similar to that of CHE. CONCLUSION: In the last 14 years, the CHE and impoverishment in India has declined while inequality in CHE has increased. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01421-6. BioMed Central 2021-03-20 /pmc/articles/PMC7981828/ /pubmed/33743735 http://dx.doi.org/10.1186/s12939-021-01421-6 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mohanty, Sanjay K. Dwivedi, Laxmi Kant Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 |
title | Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 |
title_full | Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 |
title_fullStr | Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 |
title_full_unstemmed | Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 |
title_short | Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004–18 |
title_sort | addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in india, 2004–18 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981828/ https://www.ncbi.nlm.nih.gov/pubmed/33743735 http://dx.doi.org/10.1186/s12939-021-01421-6 |
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