Denny John , Jeetendra Yadav , Devdatta Ray , Paramita Bhattacharya , Nirmalya Mukherjee , Rajan Patil , Vivek Varma , Sahadeb Hembram , Moumita Hansda
{"title":"印度部落人口的结核病住院费用:对 2004 年至 2018 年全国抽样调查数据的重复横截面分析","authors":"Denny John , Jeetendra Yadav , Devdatta Ray , Paramita Bhattacharya , Nirmalya Mukherjee , Rajan Patil , Vivek Varma , Sahadeb Hembram , Moumita Hansda","doi":"10.1016/j.puhip.2024.100490","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>Tribal population in India (8.6% of the total population) have a greater prevalence of tuberculosis compared to the national average. The article aims to study out-of-pocket expenditure (OOPE), hardship financing, and impoverishment effects of TB hospitalisation treatment among tribal populations in India.</p></div><div><h3>Methods</h3><p>Data of three rounds of National Sample Surveys (NSS) 60th (2004–05), 71st (2013–14) and 75th (2017–18) rounds were analyzed. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden (HCB), catastrophic health expenditure (CHE), hardship financing and impoverishment effects using standard definitions at February 2023 price values. Propensity score matching (PSM) was used to examine the effect of health insurance coverage on catastrophic health expenditure, and impoverishment.</p></div><div><h3>Results</h3><p>Over two-thirds of the TB cases are seen in the economically productive age group (14–59 years). Substantial OOPE and its impact on HCB, CHE, and poverty impact observed among 15–35 age group across all three rounds. Illiterate patients and those availing private hospitals for TB treatment had higher OOPE, HCB, hardship financing, CHE, and poverty impact. 38.5% (2014) and 33.2% (2018) are covered with any kind of public healthcare coverage, PSM analysis shows households with health insurance have lower incidence of CHE and impoverishment effects due to TB hospitalisation expenditure.</p></div><div><h3>Conclusions</h3><p>The current study aids in comprehending the patterns in the financial burden of TB on tribal households during the previous 15 years and gives policy makers information for efficient resource allocation management for TB among Indian tribal communities.</p></div>","PeriodicalId":34141,"journal":{"name":"Public Health in Practice","volume":"7 ","pages":"Article 100490"},"PeriodicalIF":2.2000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666535224000272/pdfft?md5=73ce224d382bd1b26b6ceb8a59e4368a&pid=1-s2.0-S2666535224000272-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Hospitalisation expenditure on tuberculosis among tribal populations in India: A repeated cross-sectional analysis of national sample survey data, 2004 to 2018\",\"authors\":\"Denny John , Jeetendra Yadav , Devdatta Ray , Paramita Bhattacharya , Nirmalya Mukherjee , Rajan Patil , Vivek Varma , Sahadeb Hembram , Moumita Hansda\",\"doi\":\"10.1016/j.puhip.2024.100490\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>Tribal population in India (8.6% of the total population) have a greater prevalence of tuberculosis compared to the national average. The article aims to study out-of-pocket expenditure (OOPE), hardship financing, and impoverishment effects of TB hospitalisation treatment among tribal populations in India.</p></div><div><h3>Methods</h3><p>Data of three rounds of National Sample Surveys (NSS) 60th (2004–05), 71st (2013–14) and 75th (2017–18) rounds were analyzed. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden (HCB), catastrophic health expenditure (CHE), hardship financing and impoverishment effects using standard definitions at February 2023 price values. Propensity score matching (PSM) was used to examine the effect of health insurance coverage on catastrophic health expenditure, and impoverishment.</p></div><div><h3>Results</h3><p>Over two-thirds of the TB cases are seen in the economically productive age group (14–59 years). Substantial OOPE and its impact on HCB, CHE, and poverty impact observed among 15–35 age group across all three rounds. Illiterate patients and those availing private hospitals for TB treatment had higher OOPE, HCB, hardship financing, CHE, and poverty impact. 38.5% (2014) and 33.2% (2018) are covered with any kind of public healthcare coverage, PSM analysis shows households with health insurance have lower incidence of CHE and impoverishment effects due to TB hospitalisation expenditure.</p></div><div><h3>Conclusions</h3><p>The current study aids in comprehending the patterns in the financial burden of TB on tribal households during the previous 15 years and gives policy makers information for efficient resource allocation management for TB among Indian tribal communities.</p></div>\",\"PeriodicalId\":34141,\"journal\":{\"name\":\"Public Health in Practice\",\"volume\":\"7 \",\"pages\":\"Article 100490\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666535224000272/pdfft?md5=73ce224d382bd1b26b6ceb8a59e4368a&pid=1-s2.0-S2666535224000272-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health in Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666535224000272\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health in Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666535224000272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Hospitalisation expenditure on tuberculosis among tribal populations in India: A repeated cross-sectional analysis of national sample survey data, 2004 to 2018
Objective
Tribal population in India (8.6% of the total population) have a greater prevalence of tuberculosis compared to the national average. The article aims to study out-of-pocket expenditure (OOPE), hardship financing, and impoverishment effects of TB hospitalisation treatment among tribal populations in India.
Methods
Data of three rounds of National Sample Surveys (NSS) 60th (2004–05), 71st (2013–14) and 75th (2017–18) rounds were analyzed. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden (HCB), catastrophic health expenditure (CHE), hardship financing and impoverishment effects using standard definitions at February 2023 price values. Propensity score matching (PSM) was used to examine the effect of health insurance coverage on catastrophic health expenditure, and impoverishment.
Results
Over two-thirds of the TB cases are seen in the economically productive age group (14–59 years). Substantial OOPE and its impact on HCB, CHE, and poverty impact observed among 15–35 age group across all three rounds. Illiterate patients and those availing private hospitals for TB treatment had higher OOPE, HCB, hardship financing, CHE, and poverty impact. 38.5% (2014) and 33.2% (2018) are covered with any kind of public healthcare coverage, PSM analysis shows households with health insurance have lower incidence of CHE and impoverishment effects due to TB hospitalisation expenditure.
Conclusions
The current study aids in comprehending the patterns in the financial burden of TB on tribal households during the previous 15 years and gives policy makers information for efficient resource allocation management for TB among Indian tribal communities.