Evidence map›Paper›PMID 38762460›Full record

ArticleBMC geriatrics2024

Prevalence, perceptions and associated factors of health insurance enrollment among older persons in selected cash grant communities in Ghana: a cross-sectional mixed method.

Doris Ottie-Boakye, Ayagah Agula Bawah, Naa Dodua Dodoo, J K Anarfi

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Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Doris Ottie-BoakyeSchool of Public Health, College of Health Sciences, University of Ghana, Box LG 13, Legon, Accra, Ghana. doboakye@gmail.com.
Ayagah Agula BawahRegional Institute for Population Studies, University of Ghana-Legon, Box LG 96, Accra, Ghana.
Naa Dodua DodooAfrican Institute for Development Policy (AFIDEP), City Centre, Box 31024, Lilongwe 3, Malawi.
J K AnarfiRegional Institute for Population Studies, University of Ghana-Legon, Box LG 96, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUniversal Health Coverage has been openly recognized in the United Nations health-related Sustainable Development Goals by 2030, though missing under the Millennium Development Goals. Ghana implemented the National Health Insurance Scheme programme in 2004 to improve financial access to healthcare for its citizens. This programme targeting low-income individuals and households includes an Exempt policy for older persons and indigents. Despite population ageing, evidence of the participation and perceptions of older persons in the scheme in cash grant communities is unknown. Hence, this paper examined the prevalence, perceptions and factors associated with health insurance enrollment among older persons in cash grant communities in Ghana.

methodsData were from a cross-sectional household survey of 400 older persons(60 + years) and eight FGDs between 2017 and 2018. For the survey, stratified and simple random sampling techniques were utilised in selecting participants. Purposive and stratified sampling techniques were employed in selecting the focus group discussion participants. Data analyses included descriptive, modified Poisson regression approach tested at a p-value of 0.05 and thematic analysis. Stata and Atlas-ti software were used in data management and analyses.

resultsThe mean age was 73.7 years. 59.3% were females, 56.5% resided in rural communities, while 34.5% had no formal education. Two-thirds were into agriculture. Three-fourth had non-communicable diseases. Health insurance coverage was 60%, and mainly achieved as Exempt by age. Being a female [Adjusted Prevalence Ratio (APR) 1.29, 95%CI:1.00-1.67], having self-rated health status as bad [APR = 1.34, 95%CI:1.09-1.64] and hospital healthcare utilisation [APR = 1.49, 95%CI:1.28-1.75] were positively significantly associated with health insurance enrollment respectively. Occupation in Agriculture reduced insurance enrollment by 20.0%. Cited reasons for poor perceptions of the scheme included technological challenges and unsatisfactory services.

conclusionHealth insurance enrollment among older persons in cash grant communities is still not universal. Addressing identified challenges and integrating the views of older persons into the programme have positive implications for securing universal health coverage by 2030.

Indexed as

Insurance, HealthAgedAged, 80 and overCross-Sectional StudiesFemaleGhanaHealth Services AccessibilityHumansMaleMiddle AgedNational Health ProgramsPrevalenceUniversal Health InsuranceCash grant communitiesGhanaHealth insurance enrollmentOlder persons

Identifiers

PMID38762460
PMCPMC11102239

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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.