Evidence map›Paper›PMID 32461984›Full record

ArticleBioMed research international2020

Wealth Status, Health Insurance, and Maternal Health Care Utilization in Africa: Evidence from Gabon.

N'doh Ashken Sanogo, Sanni Yaya

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
22.5field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 106 citations in OpenAlex.

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14 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

N'doh Ashken SanogoUniversity of Parakou, Parkou, Benin.ORCID https://orcid.org/0000-0001-8997-7915
Sanni YayaUniversity of Parakou, Parkou, Benin.ORCID https://orcid.org/0000-0002-4876-6043
Université de Parakou · BJ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo achieve the universal health coverage among other Sustainable Development Goals, African countries have shown the commitment by implementing strategies to improve access and coverage of health care services whose access is still very low. The achievement of universal health care requires the provision and availability of an adequate financing system. This study explored the wealth-related association of compulsory health insurance on maternal health care utilization in Gabon.

methodsThe study used the 6

resultsMean (+/- SD) age of women respondents of reproductive age was 29 years (9.9). The proportion of at least 4 antenatal care visits was 69.2%, facility-based delivery was 84.7%, and postnatal care utilization was 67.9%. The analysis of data showed disparities in maternal health care services utilization. The GDHS showed maternal age, and geographical region was significantly associated with maternal health care service utilization. A high proportion of urban dwellers and Christian women used maternal health care services. According to the wealth index, maternal health services utilization was higher in women from wealthy households compared to lower households wealth index (ANC (Conc. Index = 0.117;

conclusionWomen enrollment in health insurance and improved household's financial status can improve key maternal health services utilization.

Indexed as

AdolescentAdultCross-Sectional StudiesFemaleGabonHealthcare DisparitiesHumansInsurance CoverageMaternal Health ServicesMiddle AgedPatient Acceptance of Health CarePregnancySocioeconomic FactorsYoung Adult

Identifiers

PMID32461984
PMCPMC7212326
OpenAlexW2999176455

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.