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Assessing the impoverishment effects of out-of-pocket healthcare payments prior to the uptake of the national health insurance scheme in Ghana

Overview of attention for article published in BMC Public Health, May 2017
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Title
Assessing the impoverishment effects of out-of-pocket healthcare payments prior to the uptake of the national health insurance scheme in Ghana
Published in
BMC Public Health, May 2017
DOI 10.1186/s12914-017-0121-7
Pubmed ID
Authors

James Akazili, John Ele-Ojo Ataguba, Edmund Wedam Kanmiki, John Gyapong, Osman Sankoh, Abraham Oduro, Di McIntyre

Abstract

There is a global concern regarding how households could be protected from relatively large healthcare payments which are a major limitation to accessing healthcare. Such payments also endanger the welfare of households with the potential of moving households into extreme impoverishment. This paper examines the impoverishing effects of out-of-pocket (OOP) healthcare payments in Ghana prior to the introduction of Ghana's national health insurance scheme. Data come from the Ghana Living Standard Survey 5 (2005/2006). Two poverty lines ($1.25 and $2.50 per capita per day at the 2005 purchasing power parity) are used in assessing the impoverishing effects of OOP healthcare payments. We computed the poverty headcount, poverty gap, normalized poverty gap and normalized mean poverty gap indices using both poverty lines. We examine these indicators at a national level and disaggregated by urban/rural locations, across the three geographical zones, and across the ten administrative regions in Ghana. Also the Pen's parade of "dwarfs and a few giants" is used to illustrate the decreasing welfare effects of OOP healthcare payments in Ghana. There was a high incidence and intensity of impoverishment due to OOP healthcare payments in Ghana. These payments contributed to a relative increase in poverty headcount by 9.4 and 3.8% using the $1.25/day and $2.5/day poverty lines, respectively. The relative poverty gap index was estimated at 42.7 and 10.5% respectively for the lower and upper poverty lines. Relative normalized mean poverty gap was estimated at 30.5 and 6.4%, respectively, for the lower and upper poverty lines. The percentage increase in poverty associated with OOP healthcare payments in Ghana is highest among households in the middle zone with an absolute increase estimated at 2.3% compared to the coastal and northern zones. It is clear from the findings that without financial risk protection, households can be pushed into poverty due to OOP healthcare payments. Even relatively richer households are impoverished by OOP healthcare payments. This paper presents baseline indicators for evaluating the impact of Ghana's national health insurance scheme on impoverishment due to OOP healthcare payments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 170 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 22%
Researcher 24 14%
Student > Ph. D. Student 16 9%
Student > Postgraduate 12 7%
Student > Bachelor 9 5%
Other 27 16%
Unknown 45 26%
Readers by discipline Count As %
Medicine and Dentistry 34 20%
Social Sciences 20 12%
Nursing and Health Professions 16 9%
Economics, Econometrics and Finance 16 9%
Business, Management and Accounting 9 5%
Other 22 13%
Unknown 53 31%
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 21 January 2019.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from BMC Public Health
#10,684
of 17,517 outputs
Outputs of similar age
#161,324
of 327,324 outputs
Outputs of similar age from BMC Public Health
#190
of 270 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 37th percentile – i.e., 37% 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 327,324 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.