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Does club convergence matter in health outcomes? Evidence from Indian states
A. Nag, A. Privara, B. Gavurova, J. Pradhan
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
BioMedCentral
od 2001-12-01
BioMedCentral Open Access
od 2001
Directory of Open Access Journals
od 2001
Free Medical Journals
od 2001
PubMed Central
od 2001
Europe PubMed Central
od 2001
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2001-01-01
Medline Complete (EBSCOhost)
od 2001-01-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
Springer Nature OA/Free Journals
od 2001-12-01
- MeSH
- hodnocení výsledků zdravotní péče MeSH
- kojenec MeSH
- kojenecká mortalita * MeSH
- lidé MeSH
- naděje dožití * MeSH
- novorozenec MeSH
- porodnost MeSH
- zdravotní stav MeSH
- Check Tag
- kojenec MeSH
- lidé MeSH
- novorozenec MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Population health is vital to a nation's overall well-being and development. To achieve sustainable human development, a reduction in health inequalities and an increase in interstate convergence in health indicators is necessary. Evaluation of the convergence patterns can aid the government in monitoring the health progress across the Indian states. This study investigates the progressive changes in the convergence and divergence patterns in health status across major states of India from 1990 to 2018. METHODS: Sigma plots (σ), kernel density plots, and log t-test methods are used to test the convergence, divergence, and club convergence patterns in the health indicators at the state level. RESULTS: The result of the sigma convergence suggests that life expectancy at birth has converged across all states. After 2006, however, the infant mortality rate, neonatal mortality rate, and total fertility rate experienced a divergence pattern. The study's findings indicate that life expectancy at birth converges in the same direction across all states, falling into the same club (Club One). However, considerable cross-state variations and evidence of clubs' convergence and divergence are observed in the domains of infant mortality rate, neonatal death rate, and total fertility rate. As suggested by the kernel density estimates, life expectancy at birth stratifies, polarizes, and becomes unimodal over time, although with a single stable state. A bimodal distribution was found for infant, neonatal, and total fertility rates. CONCLUSIONS: Therefore, healthcare strategies must consider each club's transition path while focusing on divergence states to reduce health variations and improve health outcomes for each group of individuals.
Department of Humanities and Social Sciences National Institute of Technology Rourkela Odisha India
Faculty of National Economy University of Economics in Bratislava Bratislava Slovak Republic
Citace poskytuje Crossref.org
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- $a BACKGROUND: Population health is vital to a nation's overall well-being and development. To achieve sustainable human development, a reduction in health inequalities and an increase in interstate convergence in health indicators is necessary. Evaluation of the convergence patterns can aid the government in monitoring the health progress across the Indian states. This study investigates the progressive changes in the convergence and divergence patterns in health status across major states of India from 1990 to 2018. METHODS: Sigma plots (σ), kernel density plots, and log t-test methods are used to test the convergence, divergence, and club convergence patterns in the health indicators at the state level. RESULTS: The result of the sigma convergence suggests that life expectancy at birth has converged across all states. After 2006, however, the infant mortality rate, neonatal mortality rate, and total fertility rate experienced a divergence pattern. The study's findings indicate that life expectancy at birth converges in the same direction across all states, falling into the same club (Club One). However, considerable cross-state variations and evidence of clubs' convergence and divergence are observed in the domains of infant mortality rate, neonatal death rate, and total fertility rate. As suggested by the kernel density estimates, life expectancy at birth stratifies, polarizes, and becomes unimodal over time, although with a single stable state. A bimodal distribution was found for infant, neonatal, and total fertility rates. CONCLUSIONS: Therefore, healthcare strategies must consider each club's transition path while focusing on divergence states to reduce health variations and improve health outcomes for each group of individuals.
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