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How can the regulator show evidence of (no) risk selection in health insurance markets? Conceptual framework and empirical evidence

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 news outlet
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2 policy sources
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Title
How can the regulator show evidence of (no) risk selection in health insurance markets? Conceptual framework and empirical evidence
Published in
HEPAC Health Economics in Prevention and Care, February 2016
DOI 10.1007/s10198-016-0764-7
Pubmed ID
Authors

Wynand P. M. M. van de Ven, René C. J. A. van Vliet, Richard C. van Kleef

Abstract

If consumers have a choice of health plan, risk selection is often a serious problem (e.g., as in Germany, Israel, the Netherlands, the United States of America, and Switzerland). Risk selection may threaten the quality of care for chronically ill people, and may reduce the affordability and efficiency of healthcare. Therefore, an important question is: how can the regulator show evidence of (no) risk selection? Although this seems easy, showing such evidence is not straightforward. The novelty of this paper is two-fold. First, we provide a conceptual framework for showing evidence of risk selection in competitive health insurance markets. It is not easy to disentangle risk selection and the insurers' efficiency. We suggest two methods to measure risk selection that are not biased by the insurers' efficiency. Because these measures underestimate the true risk selection, we also provide a list of signals of selection that can be measured and that, in particular in combination, can show evidence of risk selection. It is impossible to show the absence of risk selection. Second, we empirically measure risk selection among the switchers, taking into account the insurers' efficiency. Based on 2-year administrative data on healthcare expenses and risk characteristics of nearly all individuals with basic health insurance in the Netherlands (N > 16 million) we find significant risk selection for most health insurers. This is the first publication of hard empirical evidence of risk selection in the Dutch health insurance market.

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The data shown below were collected from the profiles of 2 X users 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Master 5 12%
Student > Bachelor 5 12%
Other 3 7%
Researcher 2 5%
Other 6 15%
Unknown 13 32%
Readers by discipline Count As %
Business, Management and Accounting 7 17%
Medicine and Dentistry 7 17%
Economics, Econometrics and Finance 6 15%
Nursing and Health Professions 2 5%
Social Sciences 2 5%
Other 2 5%
Unknown 15 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 08 December 2021.
All research outputs
#2,149,517
of 25,394,764 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#86
of 1,303 outputs
Outputs of similar age
#36,872
of 406,112 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#2
of 26 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 93% 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 406,112 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.