Evidence map›Paper›PMID 40481476›Full record

ArticleBMC public health2025

Coverage and predictors of enrollment in the state-supported health insurance schemes in Nigeria: a quantitative multi-site study.

Fortune Benjamin Effiong, Roseline Dzekem Dine, Ibrahim Adebayo Hassan, Dimeji Abdulsobur Olawuyi, Idongesit Kokoabasi Isong, David Ayobami Adewole

Abstract readMulticenter Study
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 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

6 authors.

Fortune Benjamin EffiongMedical Laboratory Services, University of Calabar Teaching Hospital (UCTH), Calabar, Nigeria.
Roseline Dzekem DineDepartment of Community Engagement and Social Sciences, Rinda Ubuzima, Kigali, Rwanda. dineroselinedzekem@gmail.com.
Ibrahim Adebayo HassanFaculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria.
Dimeji Abdulsobur OlawuyiFaculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Idongesit Kokoabasi IsongFaculty of Medical Laboratory Science, University of Calabar, Calabar, Nigeria.
David Ayobami AdewoleDepartment of Health Policy and Management, College of Medicine, University of Ibadan, Ibandan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn efforts to advance universal healthcare coverage (UHC) in Nigeria, the federal government empowered sub-national entities such as states to develop and implement their respective state-supported health insurance schemes (SSHIS). This study assessed the coverage and predictors of enrollment in the SSHIS in six Nigerian states.

methodsThis study used a quantitative cross-sectional design. Respondents were recruited across six Nigerian states with operational SSHIS, corresponding to the country's six geopolitical zones. These include the Cross River, Enugu, Oyo, Kwara, Sokoto, and Taraba states, representing the South-South, South-East, South-West, North-Central, North-West, and North-East zones respectively. Data were collected from community members in congregate settings such as markets, churches/mosques, schools, bus stations/parks, and healthcare facilities. Descriptive, bivariate, and multivariate analyses were conducted using SPSS version 25.

resultsThe number of study respondents was 3732. The greater majority of the respondents were self-employed 1855 (49.7%) and were living with an average monthly income of < 10,000 naira 1175 (31.5%). Coverage of the state health insurance was highest in the North-Central Kwara State 326 (37.3%), but lowest in the South-Eastern Enugu State 6 (1%). Among beneficiaries, overall satisfaction with the scheme was highest in Oyo State 73 (77.7%), but lowest in Cross River State 16 (32.7%). After adjusting for confounders, several covariates were identified as decreasing the odds of enrolling into the schemes; however, lack of awareness about the scheme was most significant across all the six states.

conclusionLow coverage due to poor awareness, financial barriers, and enrollee dissatisfaction currently affect the SSHIS in Nigeria. To improve enrollment and sustainability, nationwide educational campaigns and consolidation of health insurance schemes are recommended.

Indexed as

Insurance CoverageInsurance, HealthUniversal Health InsuranceAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNigeriaYoung AdultHealth insuranceOut-of-pocketSSHISStatesUHC, Nigeria

Identifiers

PMID40481476
PMCPMC12143090

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LicenceCC BY-NC-ND
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Registered trials

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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.