Evidence map›Paper›PMID 32702035›Full record

ArticlePloS one2020

What has women's reproductive health decision-making capacity and other factors got to do with pregnancy termination in sub-Saharan Africa? evidence from 27 cross-sectional surveys.

Abdul-Aziz Seidu, Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Amu Hubert, Wonder Agbemavi, Ebenezer Kwesi Armah-Ansah, Eugene Budu, Francis Sambah, Vivian Tackie

Abstract read
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Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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3 · Its place in the literature

Who cites it

25 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

9 authors.

Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0001-9734-9054
Bright Opoku AhinkorahThe Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia.
Edward Kwabena AmeyawThe Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia.ORCID 0000-0002-6617-237X
Amu HubertDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0003-0218-3843
Wonder AgbemaviDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Ebenezer Kwesi Armah-AnsahDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0002-8694-6125
Eugene BuduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Francis SambahDepartment of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0003-4245-7028
Vivian TackieDepartment of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPregnancy termination is one of the key issues that require urgent attention in achieving the third Sustainable Development Goal (SDG) of ensuring healthy lives and promoting well-being for all at all ages. The reproductive health decision-making (RHDM) capacity of women plays a key role in their reproductive health outcomes, including pregnancy termination. Based on this premise, we examined RHDM capacity and pregnancy termination among women of reproductive age in sub-Saharan Africa (SSA). MATERIALS AND

methodsWe pooled data from the women's files of the most recent Demographic and Health Surveys (DHS) of 27 countries in SSA, which are part of the DHS programme. The total sample was 240,489 women aged 15 to 49. We calculated the overall prevalence of pregnancy termination in the 27 countries as well as the prevalence in each individual country. We also examined the association between RHDM capacity, socio-demographic characteristics and pregnancy termination. RHDM was generated from two variables: decision-making on sexual intercourse and decision-making on condom use. Binary logistic regression analysis was conducted and presented as Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR) with their corresponding 95% confidence intervals (CI). Statistical significance was declared p<0.05.

resultsThe prevalence of pregnancy termination ranged from 7.5% in Benin to 39.5% in Gabon with an average of 16.5%. Women who were capable of taking reproductive health decisions had higher odds of terminating a pregnancy than those who were incapable (AOR = 1.20, 95% CI = 1.17-1.24). We also found that women aged 45-49 (AOR = 5.54, 95% CI = 5.11-6.01), women with primary level of education (AOR = 1.14, 95% CI = 1.20-1.17), those cohabiting (AOR = 1.08, 95% CI = 1.04-1.11), those in the richest wealth quintile (AOR = 1.06, 95% CI = 1.02-1.11) and women employed in the services sector (AOR = 1.35, 95% CI = 1.27-1.44) were more likely to terminate pregnancies. Relatedly, women who did not intend to use contraceptive (AOR = 1.47, 95% CI = 1.39-1.56), those who knew only folkloric contraceptive method (AOR = 1.25, 95% CI = 1.18-1.32), women who watched television almost every day (AOR = 1.16, 95% CI = 1.20-1.24) and those who listened to radio almost every day (AOR = 1.11, 95% CI = 1.04-1.18) had higher odds of terminating a pregnancy. However, women with four or more children had the lowest odds (AOR = 0.5, 95% CI = 0.54-0.60) of terminating a pregnancy.

conclusionWe found that women who are capable of taking reproductive health decisions are more likely to terminate pregnancies. Our findings also suggest that age, level of education, contraceptive use and intention, place of residence, and parity are associated with pregnancy termination. Our findings call for the implementation of policies or the strengthening of existing ones to empower women about RHDM capacity. Such empowerment could have a positive impact on their uptake of safe abortions. Achieving this will not only accelerate progress towards the achievement of maternal health-related SDGs but would also immensely reduce the number of women who die as a result of pregnancy termination in SSA.

Indexed as

Abortion, InducedAdolescentAdultAfrica South of the SaharaBeninClinical Decision-MakingContraception BehaviorContraceptive AgentsFemaleGabonHealth SurveysHumansMiddle AgedPregnancyReproductive HealthWomen's HealthContraceptive Agents

Identifiers

PMID32702035
PMCPMC7377410

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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.