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Utilization of healthcare services and renewal of health insurance membership: evidence of adverse selection in Ghana

Overview of attention for article published in Health Economics Review, September 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Utilization of healthcare services and renewal of health insurance membership: evidence of adverse selection in Ghana
Published in
Health Economics Review, September 2016
DOI 10.1186/s13561-016-0122-6
Pubmed ID
Authors

Stephen Kwasi Opoku Duku, Francis Asenso-Boadi, Edward Nketiah-Amponsah, Daniel Kojo Arhinful

Abstract

Utilization of healthcare in Ghana's novel National Health Insurance Scheme (NHIS) has been increasing since inception with associated high claims bill which threatens the scheme's financial sustainability. This paper investigates the presence of adverse selection by assessing the effect of healthcare utilization and frequency of use on NHIS renewal. Routine enrolment and utilization data from 2008 to 2013 in two regions in Ghana was analyzed. Pearson Chi-square test was performed to test if the proportion of insured who utilize healthcare in a particular year and renew membership the following year is significantly different from those who utilize healthcare and drop-out. Logistic regressions were estimated to examine the relationship between healthcare utilization and frequency of use in previous year and NHIS renewal in current year. We found evidence suggestive of the presence of adverse selection in the NHIS. Majority of insured who utilized healthcare renewed their membership whiles most of those who did not utilize healthcare dropped out. The likelihood of renewal was significantly higher for those who utilize healthcare than those who did not and also higher for those who make more health facility visits. The NHIS claims bill is high because high risk individuals who self-select into the scheme makes more health facility visits and creates financial sustainability problems. Policy makers should adopt pragmatic ways of enforcing mandatory enrolment so that low risk individuals remain enrolled; and sustainable ways of increasing revenue whiles ensuring that the societal objectives of the scheme are not compromised.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 19%
Student > Ph. D. Student 13 9%
Researcher 12 8%
Student > Bachelor 12 8%
Student > Doctoral Student 7 5%
Other 20 14%
Unknown 55 37%
Readers by discipline Count As %
Nursing and Health Professions 21 14%
Social Sciences 20 14%
Medicine and Dentistry 12 8%
Economics, Econometrics and Finance 9 6%
Business, Management and Accounting 9 6%
Other 17 12%
Unknown 59 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 February 2017.
All research outputs
#12,670,959
of 22,888,307 outputs
Outputs from Health Economics Review
#150
of 430 outputs
Outputs of similar age
#155,798
of 322,146 outputs
Outputs of similar age from Health Economics Review
#5
of 18 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 430 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 65% 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 322,146 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 51% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.