Evidence map›Paper›PMID 38722942›Full record

ArticlePLOS global public health2024

Factors associated with pregnancy termination in six sub-Saharan African countries.

Rahel Nega Kassa, Emily Wanja Kaburu, Uduak Andrew-Bassey, Saad Ahmed Abdiwali, Bonfils Nahayo, Ndayishimye Samuel, Joshua Odunayo Akinyemi

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 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

7 authors.

Rahel Nega KassaDepartment of Obstetrics and Gynecology, College of Medicine, Pan African University Life and Earth Sciences Institute, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0002-8602-4446
Emily Wanja KaburuDepartment of Obstetrics and Gynecology, College of Medicine, Pan African University Life and Earth Sciences Institute, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0009-0008-6527-6717
Uduak Andrew-BasseyDepartment of Obstetrics and Gynecology, College of Medicine, Pan African University Life and Earth Sciences Institute, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0001-9397-3933
Saad Ahmed AbdiwaliDepartment of Obstetrics and Gynecology, College of Medicine, Pan African University Life and Earth Sciences Institute, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0001-5143-6574
Bonfils NahayoDepartment of Obstetrics and Gynecology, College of Medicine, Pan African University Life and Earth Sciences Institute, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0009-0004-1485-8873
Ndayishimye SamuelDepartment of Obstetrics and Gynecology, College of Medicine, Pan African University Life and Earth Sciences Institute, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0009-0008-3110-1628
Joshua Odunayo AkinyemiDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy termination continues to be a leading cause of maternal morbidity and mortality among young women in Africa. The sub-Saharan Africa region has the highest rate of abortion-related deaths in the world, at 185 maternal deaths per 100,000 abortions. The aim of this study is to investigate the factors associated with pregnancy termination among women aged 15 to 29 years in six sub-Saharan African countries. We used secondary data from the most recent Demographic and Health Survey of six sub-Saharan African countries: Kenya, Tanzania, Ethiopia, Burundi, Nigeria, and Rwanda. A total weighted sample of 74,652 women aged 15-29 were analyzed. A multivariable logistic regression model was used to identify the factors associated with pregnancy termination at a p-value < 0.05. Results were presented using adjusted odds ratios (AOR) with 95% confidence interval. The study showed that 6.3% of women aged 15-29 reported pregnancy termination with a higher prevalence rate in Tanzania (8.8%) and lowest in Ethiopia (4%). Highest odds of pregnancy termination occurred among women aged 20-24 as compared to women aged 15-19 in Rwanda (AOR: 4.04, 95%CI 2.05, 7.97) followed by Nigeria (AOR: 2.62, 95% CI 1.99, 3.43), Kenya (AOR: 2.33, 95%CI 1.48, 3.66), Burundi (AOR: 1.99 95%CI 1.48, 2.85), Tanzania (AOR: 1.71 95%CI 1.29, 2.27), and Ethiopia (AOR: 1.69, 95% CI 1.19, 2.42). Women with no education had 4 times higher odds of pregnancy termination compared to women with higher education in Tanzania (AOR: 4.03 95%CI 1.00, 16.13) while women with no education and primary level education were 1.58 times (AOR: 1.58 95% CI 1.17, 2.13) and 1.78 times (AOR: 1.78 95% CI 1.34, 2.37) as likely to terminate pregnancy in Ethiopia. In Tanzania, the likelihood of a pregnancy termination was associated with a relationship to the household head; head (AOR: 3.66, 95% CI (2.32, 5.78), wife (AOR: 3.68, 95% CI 2.60, 5.12), and in-law (AOR:2.62, 1.71, 4.03). This study revealed that a significant number of women had pregnancy termination. Being in the age group of 20-24 & 25-29, having a lower level of education, being a domestic employee and professional, being single/never-in-union, being in the poorest and richer wealth quantile category, and being head, wife, daughter, and in-law to the household head were the significantly associated with pregnancy termination. Taking these socio-economic factors into consideration by stakeholders and specific sexual education targeted to women aged 15 to 29 would help tackle the problem.

Identifiers

PMID38722942
PMCPMC11081391

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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.