Evidence map›Paper›PMID 33092556›Full record

ArticleBMC public health2020

Women's healthcare decision-making capacity and HIV testing in sub-Saharan Africa: a multi-country analysis of demographic and health surveys.

Abdul-Aziz Seidu, Joseph Kojo Oduro, Bright Opoku Ahinkorah, Eugene Budu, Francis Appiah, Linus Baatiema, Edward Kwabena Ameyaw, Francis Sambah

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
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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.

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Abdul-Aziz SeiduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0000-0001-9734-9054
Joseph Kojo OduroDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0000-0002-1347-7102
Bright Opoku AhinkorahThe Australian Centre for Public and Population Health Research, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-7415-895X
Eugene BuduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0000-0002-8484-9225
Francis AppiahDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0000-0003-1465-5211
Linus BaatiemaDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID http://orcid.org/0000-0002-8668-4671
Edward Kwabena AmeyawThe Australian Centre for Public and Population Health Research, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-6617-237X
Francis SambahDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana. francis.sambah@stu.ucc.edu.gh.ORCID http://orcid.org/0000-0003-4245-7028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal commitment to stop Human Immunodeficiency Virus (HIV) and ensure access to HIV treatment calls for women empowerment, as these efforts play major roles in mother-to-child transmission. We examined the association between women's healthcare decision-making capacity and uptake of HIV testing in sub-Saharan Africa.

methodsWe used data from the current Demographic and Health Surveys (DHS) of 28 countries in sub-Saharan Africa, conducted between January 1, 2010 and December 31, 2018. At the descriptive level, we calculated the prevalence of HIV testing in each of the countries. This was followed by the distribution of HIV testing across the socio-demographic characteristics of women. Finally, we used binary logistic regression assess the likelihood of HIV testing uptake by women's health care decision-making capacity and socio-demographic characteristics. The results were presented as Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR) with their corresponding 95% confidence intervals signifying precision. Statistical significance was set at p-value < 0.05.

resultsWe found that prevalence of HIV testing uptake in the 28 sub-Saharan African countries was 64.4%, with Congo DR having the least (20.2%) and the highest occurred in Rwanda (97.4%). Women who took healthcare decisions alone [COR = 3.183, CI = 2.880-3.519] or with their partners [COR = 2.577, CI = 2.335-2.844] were more likely to test for HIV, compared to those whose healthcare decisions were taken by others, and this persisted after controlling for significant covariates: [AOR = 1.507, CI = 1.321-1.720] and [AOR = 1.518, CI = 1.334-1.728] respectively.

conclusionSub-Saharan African countries intending to improve HIV testing need to incorporate women's healthcare decision-making capacity strategies. These strategies can include education and counselling. This is essential because our study indicates that the capacity of women to make healthcare decisions has an association with decision to test for their HIV status.

Indexed as

HIV InfectionsHIV TestingAfrica South of the SaharaChildCongoDelivery of Health CareFemaleHealth SurveysHumansInfectious Disease Transmission, VerticalRwandaHealthcare decision-making capacityHIVSub-Saharan AfricaTestingWomen

Identifiers

PMID33092556
PMCPMC7583279

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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.