Evidence map›Paper›PMID 36523216›Full record

ArticleBMJ open2022

Poverty, education and health insurance coverage among women of reproductive ages in the Democratic Republic of the Congo: a cross-sectional and multilevel analysis.

Zacharie Tsala Dimbuene, Raphaël Muanza Nzuzi, Paul-Denis Nzita Kikhela

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Zacharie Tsala DimbueneDepartment of Population and Development Sciences, University of Kinshasa, Kinshasa, Congo (the Democratic Republic of the) zacharie.tsala.dimbuene@gmail.com.ORCID 0000-0002-7977-1689
Raphaël Muanza NzuziDepartment of Population and Development Sciences, University of Kinshasa, Kinshasa, Congo (the Democratic Republic of the).
Paul-Denis Nzita KikhelaDepartment of Population and Development Sciences, University of Kinshasa, Kinshasa, Congo (the Democratic Republic of the).
University of Kinshasa · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate inequalities of health insurance coverage (outcome) at subnational level, and the effects of education and poverty on the outcome.

designSecondary analysis of Demographic and Health Surveys. The outcome variable was health insurance ownership.

settingThe Democratic Republic of the Congo. SUBJECTS: Women aged 15-49 years (n=18 827).

resultsFindings indicated significant spatial variations of the health insurance ownership which ranged from 1.2% in Bandundu and Kasaï Oriental to 15.5% in Kinshasa the Capital City. Furthermore, findings showed that an additional year of women education increased by 10% the chance of health insurance ownership (adjusted OR, AOR 1.098; 95% CI 1.065 to 1.132). Finally, living in better-off households increased by 150% the chance of owing a health insurance (AOR 2.501; 95% CI 1.620 to 3.860) compared with women living in poor households.

conclusionsGiven the low levels of health insurance coverage, the Democratic Republic of the Congo will not reach the Sustainable Development Goal 3, aimed at improving maternal and child health unless a serious programmatic health shift is undertaken in the country to tackle inequalities among poor and uneducated women via universal health coverage.

Indexed as

Insurance CoveragePovertyChildCross-Sectional StudiesDemocratic Republic of the CongoFemaleHumansMultilevel AnalysisCommunity child healthMaternal medicinePUBLIC HEALTH

Identifiers

PMID36523216
PMCPMC9748937
OpenAlexW4311310491

What OpenQuestion holds

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LicenceCC BY-NC
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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.