ArticleBMC public health2020
Determinants of life expectancy and clustering of provinces to improve life expectancy: an ecological study in Indonesia.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Understanding recent dynamics: prosperity and longevity in Ghana.Health economics review · 2026Article
- Metropolitan inequalities in health system resources and COVID-19 adjusted life expectancy among older adults in Mexico.Frontiers in public health · 2026Article
- Unraveling the nexus between fiscal policy uncertainty, environmental taxation, and life expectancy.BMC public health · 2025Article
- Spatiotemporal effect of internet use on life expectancy: cross-country insight from a geographically and temporally weighted analysis.BMC public health · 2025Article
- Impact of education and income inequalities on life expectancy: insights from the new EU members.Frontiers in public health · 2024Article
- Information and communication technology development and health gap nexus in Africa.Frontiers in public health · 2023Article
- Impact of Economic Freedom and Educational Attainment on Life Expectancy: Evidence From the New EU Member States.Frontiers in public health · 2022Article
- Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems.Preventive medicine reports · 2021Article
- Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016.International journal of environmental research and public health · 2021Article
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3 authors.
Funding
Abstract
backgroundLife expectancy acts as a population measure of the performance of healthcare systems. Regional disparities on life expectancy in Indonesia has been persisted and become a public health policy challenge. A systematic clustering of provinces can be a valuable alternative for organizing cooperation that aimed to increase life expectancy and reduce disparities. This study aimed to identify determinants of life expectancy and designate clusters of Indonesian provinces with similar characteristics. This approach can be useful in generating alternative cooperation strategies to improve life expectancy.
methodsWe carefully selected variables that have been shown to impact life expectancy and gathered 2015 data from Indonesia's Ministry of Health. All 34 Indonesian provinces were included as analysis units. We performed structural equation modeling (SEM) to select domains that needed to work on from theoretical models. Based on SEM results, we performed cluster analysis to arrange cooperation groups.
resultsLife expectancy showed correlations with mean years of schooling, expenditure per capita, health workforce, healthcare facilities, and environment. Expenditure per capita also was the strongest of all constructs. Based on SEM results, we performed cluster analysis to arrange cooperation groups of total 34 provinces and generated five clusters of provinces.
conclusionsEnhancing the economy is the most effective approach for improving life expectancy and other constructs. These clusters can build cooperation that is new, within, and across clusters. These results may be useful in formulating cooperation strategies aimed at increasing life expectancy.
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