Shankar Prinja, Atul Sharma, Aarti Goyal, V R Muraleedharan
{"title":"公共支出是否反映了健康需求?印度县级横断面分析》。","authors":"Shankar Prinja, Atul Sharma, Aarti Goyal, V R Muraleedharan","doi":"10.4103/ijph.ijph_991_22","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There is mixed evidence on the extent of association between the allocation of public revenue for healthcare and its indicators of need.</p><p><strong>Objective: </strong>In this study, we examined the relationship between allocations through state health financing (SHF) and the Central Government with infant mortality.</p><p><strong>Materials and methods: </strong>District-wise infant mortality rate (IMR) was computed using National Family Health Survey-4 data. State-wise data for health budgets through SHF and National Health Mission (NHM, a Centrally Sponsored Scheme), were obtained for the year 2015-16. We used a multivariable analysis through generalized linear model method using identity-link function.</p><p><strong>Results: </strong>We found per capita SHF (₹3169) to be more than 12 times that of public health spending per capita through NHM (₹261). IMR was lower in districts with higher SHF allocation, although statistically insignificant. The allocation through NHM was higher in districts with higher IMR, which is statistically significant. Every unit percentage increase in per capita net state domestic product and female literacy led to 0.31% and 0.54% decline, while a 1% increase in under-five diarrhoea prevalence led to 0.17% increase in IMR.</p><p><strong>Conclusion: </strong>The NHM has contributed to enhancing vertical equity in health-care financing. The States' need to be more responsive to the differences in districts while allocating health-care resources. There needs to be a focus on spending on social determinants, which should be the cornerstone for any universal health coverage strategy.</p>","PeriodicalId":13298,"journal":{"name":"Indian journal of public health","volume":"68 1","pages":"44-49"},"PeriodicalIF":0.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does Public Spending Reflect the Need for Health: A Cross-sectional Analysis at District Level in India.\",\"authors\":\"Shankar Prinja, Atul Sharma, Aarti Goyal, V R Muraleedharan\",\"doi\":\"10.4103/ijph.ijph_991_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There is mixed evidence on the extent of association between the allocation of public revenue for healthcare and its indicators of need.</p><p><strong>Objective: </strong>In this study, we examined the relationship between allocations through state health financing (SHF) and the Central Government with infant mortality.</p><p><strong>Materials and methods: </strong>District-wise infant mortality rate (IMR) was computed using National Family Health Survey-4 data. State-wise data for health budgets through SHF and National Health Mission (NHM, a Centrally Sponsored Scheme), were obtained for the year 2015-16. We used a multivariable analysis through generalized linear model method using identity-link function.</p><p><strong>Results: </strong>We found per capita SHF (₹3169) to be more than 12 times that of public health spending per capita through NHM (₹261). IMR was lower in districts with higher SHF allocation, although statistically insignificant. The allocation through NHM was higher in districts with higher IMR, which is statistically significant. Every unit percentage increase in per capita net state domestic product and female literacy led to 0.31% and 0.54% decline, while a 1% increase in under-five diarrhoea prevalence led to 0.17% increase in IMR.</p><p><strong>Conclusion: </strong>The NHM has contributed to enhancing vertical equity in health-care financing. The States' need to be more responsive to the differences in districts while allocating health-care resources. There needs to be a focus on spending on social determinants, which should be the cornerstone for any universal health coverage strategy.</p>\",\"PeriodicalId\":13298,\"journal\":{\"name\":\"Indian journal of public health\",\"volume\":\"68 1\",\"pages\":\"44-49\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian journal of public health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4103/ijph.ijph_991_22\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/4/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian journal of public health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/ijph.ijph_991_22","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/4 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Does Public Spending Reflect the Need for Health: A Cross-sectional Analysis at District Level in India.
Background: There is mixed evidence on the extent of association between the allocation of public revenue for healthcare and its indicators of need.
Objective: In this study, we examined the relationship between allocations through state health financing (SHF) and the Central Government with infant mortality.
Materials and methods: District-wise infant mortality rate (IMR) was computed using National Family Health Survey-4 data. State-wise data for health budgets through SHF and National Health Mission (NHM, a Centrally Sponsored Scheme), were obtained for the year 2015-16. We used a multivariable analysis through generalized linear model method using identity-link function.
Results: We found per capita SHF (₹3169) to be more than 12 times that of public health spending per capita through NHM (₹261). IMR was lower in districts with higher SHF allocation, although statistically insignificant. The allocation through NHM was higher in districts with higher IMR, which is statistically significant. Every unit percentage increase in per capita net state domestic product and female literacy led to 0.31% and 0.54% decline, while a 1% increase in under-five diarrhoea prevalence led to 0.17% increase in IMR.
Conclusion: The NHM has contributed to enhancing vertical equity in health-care financing. The States' need to be more responsive to the differences in districts while allocating health-care resources. There needs to be a focus on spending on social determinants, which should be the cornerstone for any universal health coverage strategy.
期刊介绍:
Indian Journal of Public Health is a peer-reviewed international journal published Quarterly by the Indian Public Health Association. It is indexed / abstracted by the major international indexing systems like Index Medicus/MEDLINE, SCOPUS, PUBMED, etc. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles. The Indian Journal of Public Health publishes articles of authors from India and abroad with special emphasis on original research findings that are relevant for developing country perspectives including India. The journal considers publication of articles as original article, review article, special article, brief research article, CME / Education forum, commentary, letters to editor, case series reports, etc. The journal covers population based studies, impact assessment, monitoring and evaluation, systematic review, meta-analysis, clinic-social studies etc., related to any domain and discipline of public health, specially relevant to national priorities, including ethical and social issues. Articles aligned with national health issues and policy implications are prefered.