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Repackaging exemptions under National Health Insurance in Ghana: how can access to care for the poor be improved?

Overview of attention for article published in Health Policy & Planning, October 2012
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Title
Repackaging exemptions under National Health Insurance in Ghana: how can access to care for the poor be improved?
Published in
Health Policy & Planning, October 2012
DOI 10.1093/heapol/czs098
Pubmed ID
Authors

Emmanuel Kanchebe Derbile, Sjaak van der Geest

Abstract

For the past 10 years the Ghana Government has been trying to replace the old user fee system with an overall health insurance scheme, but one problem of the old system continues to bedevil the new policy: exemption of the poor. This paper presents data from empirical fieldwork and also puts forward an opinion. It discusses how past experiences of user fee exemptions for the poor can inform exemptions under the new 'National Health Insurance Scheme' (NHIS) as a means to ensuring equity in health care. Drawing on a study of exemptions in the three regions of northern Ghana, and utilizing both qualitative and quantitative methods and data, the findings show that exemptions were applied in favour of under-fives, antenatal care, the aged and public servants to the disadvantage of the poor. As a result, the poor had very little access to exemptions. Exemptions therefore failed to address equity concerns in health care, the very reason for which they were introduced. Thus, although the paper acknowledges that provision for the enrolment of the poor into the NHIS is a step in the right direction, it underscores that effective enrolment will be essential for attaining the equity goal of the policy. Informed by past experiences that undermined the equity goal of exemptions, three policy recommendations are put forward for improving exemptions for the poor under the NHIS. These are: (1) effective community education for enhancing premium paying enrolments into the NHIS alongside education on exemptions for the poor; (2) reviewing and clarifying policy guidelines for guiding local-level identification of the poor based on communities' own understanding of poverty; and (3) providing the requisite resources to enable the Department of Social Welfare to discharge its core mandate of identifying the poor for exemptions.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Ghana 1 <1%
Belgium 1 <1%
Unknown 163 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 22%
Student > Ph. D. Student 25 15%
Researcher 19 11%
Student > Postgraduate 14 8%
Student > Bachelor 14 8%
Other 21 13%
Unknown 38 23%
Readers by discipline Count As %
Social Sciences 36 22%
Nursing and Health Professions 30 18%
Medicine and Dentistry 29 17%
Economics, Econometrics and Finance 9 5%
Arts and Humanities 4 2%
Other 17 10%
Unknown 42 25%
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 04 September 2013.
All research outputs
#15,091,226
of 25,373,627 outputs
Outputs from Health Policy & Planning
#2,134
of 2,368 outputs
Outputs of similar age
#110,569
of 192,298 outputs
Outputs of similar age from Health Policy & Planning
#33
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 9th percentile – i.e., 9% 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 192,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.