Evidence map›Paper›PMID 39899493›Full record

ArticlePloS one2025

Women's enrollment in community-based health insurance and its determinants in Sidama national regional state, Ethiopia, 2024: A multilevel analysis.

Kare Chawicha Debessa, Keneni Gutema Negeri, Mesay Hailu Dangisso

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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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3 · Its place in the literature

Who cites it

9 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.

Kare Chawicha DebessaSchool of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.ORCID https://orcid.org/0009-0002-6118-9153
Keneni Gutema NegeriSchool of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Mesay Hailu DangissoEthiopian Public Health Institute, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccessing affordable and high-quality healthcare remains a persistent challenge in low- and middle-income countries like Ethiopia. Community-based health insurance (CBHI) programs offer a promising solution to expand healthcare coverage and provide financial protection, particularly for vulnerable populations such as women. This study aimed to investigate the factors that influence CBHI enrollment among women in Sidama National Regional State, Ethiopia, using a multilevel analysis.

methodsA community-based cross-sectional study was conducted using a multistage sampling technique from December 15th to January 12th, 2024, in the central Sidama zone, Sidama National Regional State. The study included 835 women aged 18 years and older, residing both in rural and urban areas. Face-to-face interviews were conducted using a pre-tested questionnaire to collect comprehensive data on socio-demographic, economic, and scheme-related factors. Data collection utilized the Open Data Kit mobile application, and data analysis was performed using Stata version 16, employing multilevel modified Poisson modeling to identify determinants of CBHI enrollment.

resultsAmong 845 samples, 835 women were interviewed, resulting in a response rate of 98.8%. Individual-level factors such as older age (APR = 1.02, 95%CI: 1.01-1.03, p<0.001), larger family size (APR = 1.09, 95%CI: 1.03-1.16, p = 0.001), and moderate wealth index (APR = 2.72, 95%CI: 1.28-5.79, p = 0.009) showed positive associations with CBHI enrollment, depicted a higher likelihood of individuals joining the insurance scheme. In addition, at the community level, higher rates of women's literacy (APR = 1.73, 1.18-2.55, p = 0.005), and women's autonomy (APR = 2.64, 95%CI: 1.50-4.65, p = 0.001) were positively correlated with CBHI enrollment.

conclusionsThe study revealed that the enrollment rate among women in the CBHI scheme was 35%, indicating a need for improved outreach efforts. Significant factors that affected enrollment included older age, larger family size, and moderate wealth. Additionally, positive community-level influences such as higher literacy rates and increased autonomy for women contributed to higher enrollment. To improve CBHI enrollment, the target should focus on younger women and those from smaller families. Financial support, such as subsidies for low-income women, can also encourage participation. Investing in women's literacy and empowerment programs will enable them to make informed health choices, thereby increasing enrollment. Finally, ongoing research is necessary to track enrollment trends and identify barriers. Utilizing qualitative methods will yield insights into women's perceptions of CBHI, facilitating more effective strategies. Implementing these recommendations can enhance women's access to healthcare through CBHI.

Indexed as

Community-Based Health InsuranceAdolescentAdultCross-Sectional StudiesEthiopiaFemaleHealth Services AccessibilityHumansMiddle AgedMultilevel AnalysisRural PopulationSocioeconomic FactorsSurveys and QuestionnairesYoung Adult

Identifiers

PMID39899493
PMCPMC11790101

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LicenceCC BY
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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.