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Determinants of health-system efficiency: evidence from OECD countries

Overview of attention for article published in International Journal of Health Economics and Management, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

policy
1 policy source
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1 X user

Citations

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46 Dimensions

Readers on

mendeley
108 Mendeley
Title
Determinants of health-system efficiency: evidence from OECD countries
Published in
International Journal of Health Economics and Management, January 2014
DOI 10.1007/s10754-013-9140-7
Pubmed ID
Authors

Pablo Hernández de Cos, Enrique Moral-Benito

Abstract

This paper analyzes the most important determinants of healthcare efficiency across OECD countries. As previously documented in the literature, we first provide evidence of significant differences in the cross-country level of efficiency in healthcare provision. We then investigate how improvements in efficiency can be achieved by considering alternative efficiency indices (parametric and non-parametric) and a novel dataset with information on the characteristics of healthcare systems across OECD countries. Our empirical findings suggest a positive correlation between policies such as increasing the regulation of prices billed by providers and reducing the degree of gate keeping and the efficiency of national healthcare systems.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Bangladesh 1 <1%
Kenya 1 <1%
Unknown 105 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 20%
Researcher 18 17%
Student > Ph. D. Student 13 12%
Student > Postgraduate 6 6%
Student > Doctoral Student 6 6%
Other 23 21%
Unknown 20 19%
Readers by discipline Count As %
Economics, Econometrics and Finance 25 23%
Medicine and Dentistry 21 19%
Business, Management and Accounting 10 9%
Social Sciences 7 6%
Nursing and Health Professions 5 5%
Other 14 13%
Unknown 26 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 March 2022.
All research outputs
#8,262,981
of 25,374,917 outputs
Outputs from International Journal of Health Economics and Management
#105
of 274 outputs
Outputs of similar age
#92,223
of 318,740 outputs
Outputs of similar age from International Journal of Health Economics and Management
#1
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 318,740 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 4 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