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Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries

Overview of attention for article published in The European Journal of Health Economics, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
2 policy sources
twitter
7 tweeters

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
108 Mendeley
Title
Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries
Published in
The European Journal of Health Economics, December 2013
DOI 10.1007/s10198-013-0546-4
Pubmed ID
Authors

Marion Devaux

Abstract

A key policy objective in OECD countries is to achieve adequate access to health care for all people on the basis of need. Previous studies have shown that there are inequities in health care services utilisation (HCSU) in the OECD area. In recent years, measures have been taken to enhance health care access. This paper re-examines income-related inequities in doctor visits among 18 selected OECD countries, updating previous results for 12 countries with 2006-2009 data, and including six new countries. Inequalities in preventive care services are also considered for the first time. The indirect standardisation procedure is used to estimate the need-adjusted HCSU and concentration indexes are derived to gauge inequalities and inequities. Overall, inequities in HCSU remain present in OECD countries. In most countries, for the same health care needs, people with higher incomes are more likely to consult a doctor than those with lower incomes. Pro-rich inequalities in dental visits and cancer screening uptake are also found in nearly all countries, although the magnitude of these varies among countries. These findings suggest that further monitoring of inequalities is essential in order to assess whether country policy objectives are achieved on a regular basis.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Bangladesh 3 3%
United Kingdom 1 <1%
Unknown 104 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 19%
Student > Master 17 16%
Student > Bachelor 17 16%
Student > Ph. D. Student 16 15%
Unspecified 12 11%
Other 25 23%
Readers by discipline Count As %
Medicine and Dentistry 23 21%
Economics, Econometrics and Finance 23 21%
Unspecified 22 20%
Social Sciences 20 19%
Nursing and Health Professions 4 4%
Other 16 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 July 2019.
All research outputs
#1,281,371
of 13,256,863 outputs
Outputs from The European Journal of Health Economics
#74
of 793 outputs
Outputs of similar age
#31,573
of 292,402 outputs
Outputs of similar age from The European Journal of Health Economics
#3
of 17 outputs
Altmetric has tracked 13,256,863 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 793 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% 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 292,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.