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Universal health coverage in the context of population ageing: What determines health insurance enrolment in rural Ghana?

Overview of attention for article published in BMC Public Health, May 2018
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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 (88th percentile)

Mentioned by

1 blog
17 tweeters
1 Facebook page


1 Dimensions

Readers on

36 Mendeley
Universal health coverage in the context of population ageing: What determines health insurance enrolment in rural Ghana?
Published in
BMC Public Health, May 2018
DOI 10.1186/s12889-018-5534-2
Pubmed ID

Nele Van der Wielen, Andrew Amos Channon, Jane Falkingham


Population ageing presents considerable challenges for the attainment of universal health coverage (UHC), especially in countries where such coverage is still in its infancy. Ghana presents an important case study on the effectiveness of policies aimed at achieving UHC in the context of population ageing in low and middle-income countries. It has witnessed a profound recent demographic transition, including a large increase in the number of older adults, which coincided with the development and implementation of a National Health Insurance Scheme (NHIS), designed to help achieve UHC. The objective of this paper is to examine the community, household and individual level determinants of NHIS enrolment among older adults aged 50-69 and 70 plus. The latter are exempt from NHIS premium payments. Using the Ghanaian Living Standards Survey from 2012 to 2013, determinants of NHIS enrolment for individuals aged 50-69 and 70 plus living in rural Ghana are examined through the application of multilevel regression analysis. Previous studies have mainly focused on the enrolment of young and middle aged adults and considered mainly demographic and socio-economic factors. The novel inclusion of spatial barriers within this analysis demonstrates that levels of NHIS enrolment are determined in part by the community provision of healthcare facilities. In addition, the findings imply that insurance enrolment increases with household expenditure even for those aged 70 plus who are exempt from the NHIS premium payment. Adequate and appropriate infrastructure as well as health insurance is vital to ensure movement to UHC in low and middle income countries. Overall, the results confirm that there remain significant inequalities in enrolment by expenditure quintile that future policy reform will need to address.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 25%
Unspecified 7 19%
Student > Ph. D. Student 7 19%
Student > Bachelor 5 14%
Student > Doctoral Student 3 8%
Other 5 14%
Readers by discipline Count As %
Unspecified 9 25%
Nursing and Health Professions 9 25%
Social Sciences 6 17%
Economics, Econometrics and Finance 5 14%
Medicine and Dentistry 3 8%
Other 4 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 07 June 2019.
All research outputs
of 13,472,087 outputs
Outputs from BMC Public Health
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Outputs of similar age
of 270,974 outputs
Outputs of similar age from BMC Public Health
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Altmetric has tracked 13,472,087 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 270,974 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them