Evidence map›Paper›PMID 36925801›Full record

ArticleFrontiers in health services2022

Factors Associated With Coverage of Health Insurance Among Women in Malawi.

Margaret Chauluka, Benjamin S C Uzochukwu, Jobiba Chinkhumba

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Article in Frontiers in health services, 2022. 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

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

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.

Margaret ChaulukaDepartment of Health Systems and Policy, Kamuzu University of Health Sciences, Blantyre, Malawi.
Benjamin S C UzochukwuDepartment of Community Medicine, College of Medicine, University of Nigeria, Nsukka, Nigeria.
Jobiba ChinkhumbaDepartment of Health Systems and Policy, Kamuzu University of Health Sciences, Blantyre, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Access to healthcare for the vulnerable groups including women has long been a theme encouraged worldwide from the first general assembly on health to the current sustainable development goals. Despite many countries having a free public healthcare system, there are inequalities in access to care and significant out-of-pocket spending, pushing most women into poverty against the principles of universal health coverage. Coverage of Malawian women with health insurance is poor; thus, there is limited cushioning and high risk of poverty, as women bear costs of care as primary caregivers. There is need to explore determinants of coverage of health insurance among women in Malawi to inform health policy. Methodology: This study was quantitative in nature, using cross-sectional secondary data from the 2015 to 2016 Malawi Demographic and Health Survey involving women aged between 15 and 49 years. We assessed factors associated with insurance coverage by comparing women with and without insurance schemes using binary logistic regression. Analysis was done using STATA statistical package version 13. Results: The analysis included a total of 24,562 women with a mean age of 28 SD (9.3). Of these cases, 1.5% had health insurance. High education attainment, occupation, and wealth were significantly associated with health insurance ownership, with all having Conclusion: Education, occupation, and wealth have a key role in influencing a woman's choice in owning health insurance. This informs policymakers and health insurance providers on how best to approach women's health financing and factors to target in social security programs and health insurance products that speak to women's needs and capacity.

Indexed as

gender disparitieshealth care equityhealth insuranceMalawiwomen

Identifiers

PMID36925801
PMCPMC10012821

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LicenceCC BY
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table measurements read7
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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.