Evidence map›Paper›PMID 33996397›Full record

ArticlePreventive medicine reports2021

Socioeconomic and demographic correlates of nonenrolment onto the national health insurance scheme among children in Ghana: Insight from the 2017/18 Multiple Indicator Cluster Survey.

Pascal Agbadi, Joshua Okyere, Alberta Lomotey, Henry Ofori Duah, Abdul-Aziz Seidu, Bright Opoku Ahinkorah

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Pascal AgbadiDepartment of Nursing, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana.
Joshua OkyereDepartment of Population and Health, University of Cape Coast, Private Mail Bag, Cape Coast, Ghana.
Alberta LomoteyDepartment of Nursing, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana.
Henry Ofori DuahResearch Department, FOCOS Orthopaedic Hospital, Accra, Ghana.
Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Private Mail Bag, Cape Coast, Ghana.
Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, NSW 2007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of Ghana's health insurance scheme is to achieve universal coverage. Despite NHIS' benefits to children, not all children in Ghana are covered. This study investigates the sociodemographic covariates of nonenrolment onto the national health insurance scheme among children in Ghana. We used the child dataset of the 2017/18 Ghana Multiple Indicator Cluster Survey (G-MICS). We used STATA version 14 for the data analyses. We described each study variable using frequency and percentages. We used Poisson regression to estimate crude and adjusted prevalence ratios of the relationship between the covariates and the outcome variable. Approximately 57% of children were covered with health insurance in Ghana. In the adjusted multivariable model, male children, children within the ages of 10-14 or 15-17 years, and children who have some form of functional disability and those with no information on their functional disability status, children of mothers with lower than post-secondary education, and children residing in households of less than the fifth quantile on the household wealth index were associated with a higher likelihood of nonenrolment onto the national health insurance scheme. Finally, compared to the children in greater Accra, children in the other nine regions were associated with a lower likelihood of nonenrolment onto the national health insurance scheme. Given the results, improvement in health insurance coverage should be done, taking into consideration variations across the socio-demographic characteristics of the child, mother, and households.

Indexed as

ChildrenGhanaHealth insuranceSub-Saharan Africa

Identifiers

PMID33996397
PMCPMC8102991

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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.