ArticleInternational journal of health economics and management2016
Going beyond life expectancy in assessments of health systems' performance: life expectancy adjusted by perceived health status.
Article in International journal of health economics and management, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Association between healthcare resources, healthcare systems, and population health in European countries.BMC health services research · 2025Article
- Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China.Frontiers in public health · 2025Article
- Social and Economic Determinants of Life Expectancy at Birth in Eastern Europe.Healthcare (Basel, Switzerland) · 2024Article
- Contributions of avoidable mortality to the sex gap in life expectancy and life disparity in Iran.Archives of public health = Archives belges de sante publique · 2023Article
- Determinants of life expectancy at birth: a longitudinal study on OECD countries.International journal of health economics and management · 2023Article
- Socioeconomic Determinants of Universal Health Coverage in the Asian Region.International journal of environmental research and public health · 2022Article
- COVID-19 and the efficiency of health systems in Europe.Health economics review · 2022Article
- Using data envelopment analysis and the bootstrap method to evaluate organ transplantation efficiency in Brazil.Health care management science · 2021Article
- Skilled migration and health outcomes in developing countries.International journal of health economics and management · 2019Article
- Perceptions of Factors Impacting Longevity among Hawai'i Older Adults.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
International comparisons of health systems data have been used to guide health policy. Health systems performance is generally evaluated on how different factors contribute to mortality and longevity. Fewer studies scrutinize the factors that determine morbidity in different countries, partly because indicators that assess morbidity on a country level are not as widely available as mortality and longevity data. We introduce a new health status indicator able to combine mortality and morbidity in a single composite measure for each country and gender at a point in time (LEAPHS), yielding the average number of years that men (women) can expect to live in "good" (or better) health. Using the Sullivan method we combine the mortality risk, calculated for specific age and gender groups, with perceived health status for the same age and gender groups, and we estimate how medical care and various socio-economic, environmental and structural, lifestyle, and technological factors affect LEAPHS and life expectancy at birth for a large panel of thirty OECD countries. We find that some variables (alcohol consumption, urbanization) have a significant effect on both LEAPHS and life expectancy, while one variable (the number of hospitals) has a significant effect for both genders on life expectancy only. However, the effects of many other variables (health expenditure per capita, health expenditure per capita squared, GDP growth, and technology) were only significant predictors for LEAPHS. This leads us to conclude that LEAPHS is able to capture the impact of some health determinants not captured by life expectancy at birth. While we believe this new measure may be useful for health economists and statisticians doing cross-country analyses, further comparisons with other measures may be useful.
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Registered trials
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