Evidence map›Paper›PMID 36548267›Full record

ArticlePloS one2022

Pooled prevalence and associated factors of pregnancy termination among youth aged 15-24 year women in East Africa: Multilevel level analysis.

Samuel Hailegebreal, Ermias Bekele Enyew, Atsedu Endale Simegn, Binyam Tariku Seboka, Girma Gilano, Reta Kassa, Mohammedjud Hassen Ahmed, Yosef Haile, Firehiwot Haile

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% of its field
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Samuel HailegebrealDepartment of Health Informatics, College of Medicine and Health Science, School of Public Health, Arba Minch University, Arba Minch, Ethiopia.ORCID 0000-0003-0887-7803
Ermias Bekele EnyewDepartment of Health Informatics, Institute of Public Health, Mettu University, Metu, Ethiopia.
Atsedu Endale SimegnDepartment of Anesthesia, College of Medicine and Health Science, Wachemo University, Hosaena, Ethiopia.
Binyam Tariku SebokaDepartment of Health Informatics, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.ORCID 0000-0002-8309-5986
Girma GilanoDepartment of Health Informatics, College of Medicine and Health Science, School of Public Health, Arba Minch University, Arba Minch, Ethiopia.
Reta KassaSchool of public health, Dilla University, Dilla, Ethiopia.
Mohammedjud Hassen AhmedDepartment of Health Informatics, Institute of Public Health, Mettu University, Metu, Ethiopia.
Yosef HaileArba Minch University, College of Medicine and Health Sciences, School of Public Health, Arba Minch, Ethiopia.ORCID 0000-0001-7749-6209
Firehiwot HaileArba Minch University, College of Medicine and Health Sciences, School of Public Health, Arba Minch, Ethiopia.
Arba Minch University · ETDilla University · ETMattu UniversityWachemo University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost of unwanted pregnancies among adolescent girls and young women (AGYW) in Africa result in pregnancy termination. Despite attempts to enhance maternal health care service utilization, unsafe abortion remains the leading cause of maternal death in Sub-Saharan Africa (SSA), there is still a study gap, notably in East Africa, where community-level issues are not studied. Therefore, this study aimed to assess pooled prevalence pregnancy termination and associated factors among youth (15-24 year-old) women in the East Africa.

methodsThe study was conducted based on the most recent Demographic and Health Surveys (DHS) in the 12 East African countries. A total weighted sample of 44,846 youth (15-24) age group women was included in this study. To detect the existence of a substantial clustering effect, the Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), and Likelihood Ratio (LR)-test were used. Furthermore, because the models were nested, deviance (-2LLR) was used for model comparison. In the multilevel logistic model, significant factors related to pregnancy termination were declared using Adjusted Odds Ratios (AOR) with a 95%Confidence Interval (CI) and p-value of 0.05.

resultThe pooled prevalence of pregnancy termination in East African countries was 7.79% (95% CI: 7.54, 8.04) with the highest prevalence in Uganda 12.51% (95% CI: 11.56, 13.41) and lowest was observed in Zambia 5.64% ((95% CI: 4.86, 6.41). In multilevel multivariable logistic regression result, age 20-24 [AOR = 1.93; 95% CI: 1.71, 2.16], media exposure [AOR = 1.22; 95% CI: 1.12, 1.34], married [AOR = 1.32, 95% CI: 1.21, 1.43], had working [AOR = 1.13; 95% CI: 1.04, 1.23],no education[AOR = 3.98, 95% CI: 2.32, 6.81], primary education [AOR = 4.05, 95% CI: 2.38, 6.88], secondary education [AOR = 2.96, 95% CI: 1.74, 5.03], multiparous [AOR = 0.85; 95%CI: 0.79, 0.93], sexual initiation greater or equal to 15 [AOR = 0.82; 95%CI: 0.74, 0.99] were significantly associated with pregnancy termination.

conclusionThe pooled prevalence of pregnancy termination in East Africa was high in this study. Maternal age, marital status, education status, parity, age at first sex, media exposure, working status and living countries were significantly associated with pregnancy termination. The finding provides critical information for developing health interventions to decrease unplanned pregnancies and illegal pregnancy termination.

Indexed as

Abortion, InducedAdolescentAdultCluster AnalysisEducational StatusFemaleHealth SurveysHumansMultilevel AnalysisPregnancyPrevalenceUgandaYoung Adult

Identifiers

PMID36548267
PMCPMC9778526
OpenAlexW4312098275

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.