Evidence map›Paper›PMID 36788530›Full record

ArticleBMC health services research2023

Determinants of national health insurance enrolment among people at risk of statelessness in the Awutu Senya East Municipality and Gomoa East District of Ghana.

Theophilus Quartey, Charles Peprah, Anthony Kwame Morgan

Abstract read
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Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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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

10 citing papers in PubMed.

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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

3 authors.

Theophilus QuarteyDepartment of Planning, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Charles PeprahDepartment of Planning, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Anthony Kwame MorganDepartment of Planning, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. anthoniomorgano280@gmail.com.ORCID http://orcid.org/0000-0001-7904-9955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper investigates the factors influencing the decision to enrol in Ghana's National Health Insurance Scheme (NHIS) among people at risk of statelessness, with emphasis on the individual's demographic and socioeconomic factors. 

methodsThe study used data from a cross-sectional household survey undertaken in the Awutu Senya East Municipality and Gomoa East District of Ghana's Central Region between March 9 and June 26, 2021, on healthcare utilization culture among people at risk of statelessness. Descriptive statistics and binary logistic regression were used in analysing data from a sample of 384 people at risk of statelessness. 

resultsThe results reveal that about 51% of the at-risk population have ever enrolled while 48% of the respondents were enrolled on the NHIS at the time of the survey (active members). The majority of the enrolled members acquired their membership through self-payment of the enrolment fee. Additionally, respondents aged 26-35 had higher odds of enrolling, whiles those within 56-65 years had lower odds of enrolling in health insurance. Also, persons who are married and have a high school education or an equivalent qualification were more likely to enrol, while persons with no employment were less likely to enrol.

conclusionAccording to the paper, while the gap in coverage between rich and poor, married and single appears to have narrowed, these factors continue to determine NHIS coverage among people at risk of statelessness. The same is true for education. Efforts must be increased to ensure equal access to healthcare financing interventions for better access to health services.

Indexed as

Delivery of Health CareInsurance, HealthCross-Sectional StudiesGhanaHumansNational Health ProgramsSocioeconomic FactorsDeterminantsGhanaNational Health Insurance SchemePeople at Risk of StatelessnessSustainable Development Goals

Identifiers

PMID36788530
PMCPMC9927045

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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.