Does club convergence matter in health outcomes? Evidence from Indian states

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63564898" target="_blank" >RIV/70883521:28120/23:63564898 - isvavai.cz</a>

Result on the web

<a href="https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-023-16972-2" target="_blank" >https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-023-16972-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/S12889-023-16972-2" target="_blank" >10.1186/S12889-023-16972-2</a>

Result language

angličtina

Original language name

Does club convergence matter in health outcomes? Evidence from Indian states

Original language description

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 fndings 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 stratifes, 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50201 - Economic Theory

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BMC Public Health

ISSN

1471-2458

e-ISSN

—

Volume of the periodical

23

Issue of the periodical within the volume

neuvedeno

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

"nečíslováno"

UT code for WoS article

001098670300006

EID of the result in the Scopus database

2-s2.0-85175727057