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Going beyond life expectancy in assessments of health systems’ performance: life expectancy adjusted by perceived health status

Overview of attention for article published in International Journal of Health Economics and Management, January 2016
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Title
Going beyond life expectancy in assessments of health systems’ performance: life expectancy adjusted by perceived health status
Published in
International Journal of Health Economics and Management, January 2016
DOI 10.1007/s10754-015-9183-z
Pubmed ID
Authors

Erika Laranjeira, Helena Szrek

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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 14%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 6 17%
Unknown 13 37%
Readers by discipline Count As %
Social Sciences 4 11%
Medicine and Dentistry 4 11%
Economics, Econometrics and Finance 3 9%
Business, Management and Accounting 2 6%
Nursing and Health Professions 2 6%
Other 4 11%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2022.
All research outputs
#15,002,375
of 23,857,313 outputs
Outputs from International Journal of Health Economics and Management
#84
of 104 outputs
Outputs of similar age
#213,141
of 400,819 outputs
Outputs of similar age from International Journal of Health Economics and Management
#1
of 1 outputs
Altmetric has tracked 23,857,313 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them