Evidence map›Paper›PMID 37924059›Full record

ArticleBMC public health2023

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

Ajit Nag, Andrej Privara, Beata Gavurova, Jalandhar Pradhan

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ajit NagDepartment of Humanities and Social Sciences National Institute of Technology, Rourkela, Odisha, India.
Andrej PrivaraFaculty of National Economy University of Economics in Bratislava, Bratislava, Slovak Republic.
Beata GavurovaCenter for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlin, Zlín, Czech Republic. gavurova@utb.cz.
Jalandhar PradhanDepartment of Humanities and Social Sciences National Institute of Technology, Rourkela, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation 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.

methodsSigma 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.

resultsThe 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.

conclusionsTherefore, 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.

Indexed as

Infant MortalityLife ExpectancyBirth RateHealth StatusHumansInfantInfant, NewbornOutcome Assessment, Health CareClub convergenceHealth statusIndian statesKernel density

Identifiers

PMID37924059
PMCPMC10625292

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LicenceCC BY
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