Evidence map›Paper›PMID 40904554›Full record

ArticleHealth services insights2025

Health Service Utilization by Women Members and Non-Members of Community-Based Health Insurance Schemes in Sidama, Southern Ethiopia, 2024: A Comparative Cross-Sectional Study.

Kare Chawicha Debessa, Keneni Gutema Negeri, Mesay Hailu Dangiso

Abstract read
In one paragraph

Article in Health services insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The community-based health insurance (CBHI) program was established in Ethiopia to enhance access to healthcare and protect vulnerable populations, including women, from financial risk. Aim: This study analyzed healthcare utilization and its determinants between community-based health insurance members and nonmembers of women in Sidama's Central Zone, southern Ethiopia. Methods: From January 19 to February 20, 2024, a community-based comparative cross-sectional study was conducted among 1280 women (640 insured and 640 uninsured). The study participants were selected using a multistage sampling technique, and data were collected through structured face-to-face interviews using the KoBo Toolbox. Findings: The analysis revealed that CBHI membership was associated with a 77% higher frequency of health facility visits than non-members (APR = 1.77, 95% CI: 1.52-2.06; Conclusions: This analysis demonstrated that membership in CBHI substantially increased the frequency of health facility visits, resulting in a 77% rise relative to non-members. Among insured women, significant determinants included age, healthcare satisfaction, geographical accessibility, community literacy, and poverty levels. Conversely, for uninsured women, associated factors comprised family size, healthcare satisfaction, geographical accessibility, and community literacy, highlighting the necessity of addressing systemic barriers and community-level influences to enhance healthcare access and utilization in the region.

Indexed as

community-based health insurancedeterminantsEthiopiahealthcare utilizationmultilevelnegative binomialwomen

Identifiers

PMID40904554
PMCPMC12402568

What OpenQuestion holds

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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.