Evidence map›Paper›PMID 37064679›Full record

ArticleFrontiers in public health2023

Enrollment of reproductive age women in community-based health insurance: An evidence from 2019 Mini Ethiopian Demographic and Health Survey.

Simegnew Handebo, Takele Gezahegn Demie, Berhanu Teshome Woldeamanuel, Tolesa Diriba Biratu, Getachew Tilahun Gessese

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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Simegnew HandeboSchool of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Takele Gezahegn DemieSchool of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Berhanu Teshome WoldeamanuelSchool of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Tolesa Diriba BiratuSchool of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Getachew Tilahun GesseseSchool of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Universal health coverage (UHC) is aimed at ensuring that everyone has access to high-quality healthcare without the risk of financial ruin. Community-based health insurance (CBHI) is one of the essential means to achieve the sustainable development goals (SDGs) global health priority of UHC. Thus, this study assessed health insurance enrollment and associated factors among reproductive age women in Ethiopia. Methods: We computed the health insurance enrollment of reproductive-age women using secondary data from the recent Ethiopian Mini Demographic and Health Surveys (EMDHS) 2019. The EMDHS was a community-based cross-sectional study carried out in Ethiopia from March 21 to June 28, 2019. Cluster sampling with two stages was employed for the survey. The study comprised 8885 (weighted) reproductive-age women. STATA 14 was used for data processing and analysis. Bivariate and multivariable logistic regression analyses were conducted. Adjusted odds ratio (AOR) with 95% confidence interval (CI) was reported and statistical significance was set at a value of Results: Of the 8,885 study participants, 3,835 (43.2, 95% CI; 42.1, 44.2%) of women had health insurance. Women aged 20-24 years, 25-29 years, and 30-34 years less likely to enroll in health insurance compared to their younger counterparts (15-19 years). Women living in rural areas, had greater than five family sizes, living with a female household head, and having more than five living children were negatively associated with enrollment in health insurance. Besides, health insurance enrollment among reproductive-age women is significantly affected by region and religious variation. Conclusion: The overall CBHI enrolment among reproductive-age women in Ethiopia was low. To achieve the SDGs of reducing maternal mortality ratio and neonatal mortality, improving reproductive-age women's access to health insurance is essential. The national, regional, and local officals, policymakers, NGOs, program planners, and other supporting organizations working on improving health insurance enrollment of reproductive age women need to create awareness and support them based on these significant factors.

Indexed as

Community-Based Health InsuranceChildCross-Sectional StudiesFamily CharacteristicsFemaleHumansInfant, NewbornInsurance, HealthSurveys and Questionnairescommunity-based health insurancedemographic and health surveyenrollmentEthiopiawomen of reproductive age

Identifiers

PMID37064679
PMCPMC10097888

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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.