Evidence map›Paper›PMID 35245301›Full record

ArticlePloS one2022

Prevalence and factors associated with health insurance coverage in urban sub-Saharan Africa: Multilevel analyses of demographic and health survey data.

Hubert Amu, Kwamena Sekyi Dickson, Kenneth Setorwu Adde, Kwaku Kissah-Korsah, Eugene Kofuor Maafo Darteh, Akwasi Kumi-Kyereme

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  12. Antimicrobial Resistance in Sub-Saharan Africa: A Comprehensive Landscape Review.The American journal of tropical medicine and hygiene · 2025
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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 at 2 institutions in 1 country.

Hubert AmuDepartment of Population and Behavioural Sciences, School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.ORCID 0000-0003-0218-3843
Kwamena Sekyi DicksonDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Kenneth Setorwu AddeDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0003-2475-7326
Kwaku Kissah-KorsahDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Eugene Kofuor Maafo DartehDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Akwasi Kumi-KyeremeDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
University of Cape Coast · GHUniversity of Health and Allied Sciences · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWith the vision of achieving Universal Health Coverage (UHC) by the year 2030, many sub-Saharan African (SSA) countries have implemented health insurance schemes that seek to improve access to healthcare for their populace. In this study, we examined the prevalence and factors associated with health insurance coverage in urban sub-Saharan Africa (SSA). MATERIALS AND

methodsWe used the most recent Demographic and Health Survey (DHS) data from 23 countries in SSA. We included 120,037 women and 54,254 men residing in urban centres in our analyses which were carried out using both bivariable and multivariable analyses.

resultsWe found that the overall prevalence of health insurance coverage was 10.6% among females and 14% among males. The probability of being covered by health insurance increased by level of education. Men and women with higher education, for instance, had 7.61 times (95%CI = 6.50-8.90) and 7.44 times (95%CI = 6.77-8.17) higher odds of being covered by health insurance than those with no formal education. Males and females who read newspaper or magazine (Males: AOR = 1.47, 95%CI = 1.37-1.57; Females: AOR = 2.19, 95%CI = 1.31-3.66) listened to radio (Males: AOR = 1.29, 95%CI = 1.18-1.41; Females: AOR = 1.42, 95%CI = 1.35-1.51), and who watched television (Males: AOR = 1.80, 95%CI = 1.64-1.97; Females: AOR = 1.86, 95%CI = 1.75-1.99) at least once a week had higher odds of being covered by health insurance.

conclusionThe coverage of health insurance in SSA is generally low among urban dwellers. This has negative implications for the achievement of universal health coverage by the year 2030. We recommend increased public education on the benefits of being covered by health insurance using the mass media which we found to be an important factor associated with health insurance coverage. The focus of such mass media education could target the less educated urban dwellers, males in the lowest wealth quintile, and young adults (15-29 years).

Indexed as

Universal Health InsuranceAfrica South of the SaharaFemaleHealth SurveysHumansMaleMultilevel AnalysisPrevalenceYoung Adult

Identifiers

PMID35245301
PMCPMC8896727
OpenAlexW4214931647

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.