Evidence map›Paper›PMID 31398240›Full record

ArticlePloS one2019

Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveys.

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

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 3 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

142 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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82 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

7 authors.

Edward Kwabena AmeyawThe Australian Centre for Public and Population Health Research, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.ORCID 0000-0002-6617-237X
Eugene BuduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.
Francis SambahDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.
Linus BaatiemaDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.
Francis AppiahDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.
Abdul-Aziz SeiduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.ORCID 0000-0001-9734-9054
Bright Opoku AhinkorahThe Australian Centre for Public and Population Health Research, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionApproximately 14 million unintended pregnancies are recorded annually in sub-Saharan Africa (SSA). We sought to investigate the prevalence and determinants of unintended pregnancies among women in sub-Saharan Africa. MATERIALS AND

methodsThe study pooled data from current Demographic and Health Surveys (DHS) conducted from January 1, 2010 to December 31, 2016 from 29 countries in SSA. Logistic regression analysis was used to examine the factors that influence unintended pregnancies in SSA. Results were presented using odds ratios (OR).

resultsWe found overall unintended pregnancy prevalence rate of 29%, ranging from 10.8% in Nigeria to 54.5% in Namibia. As compared to women aged 15-19 years, women of all other age categories had higher odds of unintended pregnancies. Married women were 6 times more probable to report unintended pregnancy as compared to women who had never married (OR = 6.29, CI = 5.65-7.01). The phenomenon had higher odds among rural residents as compared to urban residents (OR = 1.08, CI = 1.01-1.16). Women with primary (OR = 0.74, CI = 0.69-0.80) and secondary (OR = 0.71, CI = 0.65-0.77) levels of education had less chances of unintended pregnancies, compared to those with no education. Again, women in all other wealth categories had less probability of unintended pregnancy, as compared to women with poorest wealth status.

conclusionOur study contributes substantially towards the discourse of maternal wellbeing by unveiling the prevalence and determinants of unintended pregnancy across the SSA region. There is the need for SSA countries with high prevalence of unintended pregnancies to consider past and present successful interventions of other countries within the region such as health education, counselling, skills-building, comprehensive sex education and access to contraception. Much of these efforts rest with the governments of SSA countries.

Indexed as

Health SurveysInternationalityAdolescentAdultAfrica South of the SaharaFemaleHumansLogistic ModelsMiddle AgedPregnancyPregnancy, UnplannedPrevalenceYoung Adult

Identifiers

PMID31398240
PMCPMC6688809

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LicenceCC BY
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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.