Evidence map›Paper›PMID 31349789›Full record

ArticleReproductive health2019

Abortion experience and self-efficacy: exploring socioeconomic profiles of GHANAIAN women.

Nkechi Srodah Owoo, Monica P Lambon-Quayefio, Nicole Onuoha

Abstract read
In one paragraph

Article in Reproductive health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
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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.

Nkechi Srodah OwooDepartment of Economics, University of Ghana, P. O. Box LG 57, Legon, Accra, Ghana.
Monica P Lambon-QuayefioDepartment of Economics, University of Ghana, P. O. Box LG 57, Legon, Accra, Ghana. mplambon-quayefio@ug.edu.gh.ORCID http://orcid.org/0000-0003-4126-6430
Nicole Onuoha, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnsafe abortions remain a major global public health concern and despite its prevalence, unsafe abortions remain one of the most neglected global health challenges. The proportion of women in Ghana who have experienced unsafe abortions has increased from 45% in 2007 to 62% in 2017. Given the noted consequences of (unsafe) abortions on women health, it is important to explore factors correlated with women's abortion decisions and why they opt for safe or unsafe methods. The study also examines determinants of over 6,000 Ghanaian women's self-efficacy in abortion decision-making, given that this is likely to affect the likelihood of future abortions.

methodsUsing cluster-level Geographic Information System data from the 2017 Ghana Maternal Health Survey, the study provides a hot spot analysis of the incidence of abortion in the country. The study also makes use of Probit multivariate analyses also show the correlates of abortion with socio-economic factors.

resultsResults suggest that abortion among women is positively correlated with the absence of partners, low education levels, higher household wealth, lower parity and family size, polygyny and Christian religious background.

conclusionIt is observed that the groups of women with higher abortion self-efficacy are the same groups of women who are more likely to opt for safer abortion methods, indicating some correlation, albeit indirect, between abortion self-efficacy and women's abortion behaviors in Ghana. Relevant policy applications are adduced from these research findings.

Indexed as

Decision MakingSelf EfficacyAbortion, InducedAdolescentAdultFemaleHumansMiddle AgedPregnancySocioeconomic FactorsYoung AdultAbortionGhana maternal health surveyGISSelf-efficacySpatial hot spots

Identifiers

PMID31349789
PMCPMC6660950

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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.