Evidence map›Paper›PMID 32183844›Full record

ArticleInternational journal for equity in health2020

Towards universal access to healthcare for older adults: an assessment of the old-age exemption policy under Ghana's National Health Insurance Scheme.

Fidelia A A Dake, Nele van der Wielen

Abstract read
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Article in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Age-friendly initiatives - GHANA.The journal of nutrition, health & aging · 2024
    Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Fidelia A A DakeRegional Institute for Population Studies, University of Ghana, P. O. Box LG 96, Legon, Accra, Ghana. faadake@st.ug.edu.gh.ORCID 0000-0002-6359-389X
Nele van der WielenCentre for Research on Ageing, University of Southampton, Southampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite calls for governments to provide universal health coverage for all, social health insurance programmes (SHI) that specifically target older adults continue to be largely absent in many African countries. Only a few African countries have implemented SHI programmes that include specific provisions for older adults. Ghana's National Health Insurance Scheme (NHIS) is one of the few programmes in Africa that exempts older adults from paying premiums for health insurance. This study examined socio-demographic factors associated with old-age premium exemption under Ghana's NHIS.

methodsThe study used data from the seventh round of the Ghana Living Standards Survey (GLSS 7) conducted in 2017. Descriptive statistics and binary logistic regression were used in analysing data from a sample of 1532 older adults aged 70 years and older.

resultsThe results reveal that only about 43% of older adults who were enrolled on the NHIS at the time of the survey acquired their membership through the old-age exemption policy. Additionally, increasing age was associated with higher odds of reporting exemption from paying premiums for health insurance. Also, older adults who are living in rural areas were more likely to pay premiums rather than being exempt as compared to their counterparts living in urban areas.

conclusionsThese findings indicate that the old-age exemption policy is not achieving the intended goal of providing financial risk protection for some older adults. Additionally, the policy is not reaching those who need it most, particularly those living in rural areas. Specific targeting is required for older adults living in rural areas who are less likely to benefit from the old-age exemption policy in spite of being eligible.

Indexed as

AgedAged, 80 and overDelivery of Health CareFemaleGhanaHealth PolicyHealth Services AccessibilityHumansInsurance, HealthLogistic ModelsMaleNational Health ProgramsRural PopulationSocioeconomic FactorsSurveys and QuestionnairesUniversal Health InsuranceExemptionGhanaNational Health Insurance SchemeOlder adults

Identifiers

PMID32183844
PMCPMC7077146

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.