Evidence map›Paper›PMID 35972047›Full record

ArticleWomen's health (London, England)

Unintended pregnancy and associated factors during COVID-19 pandemic in Ethiopia: Community-based cross-sectional study.

Wondwosen Molla, Shewangizaw Hailemariam, Nebiyu Mengistu, Derebe Madoro, Yesuneh Bayisa, Ruth Tilahun, Aregahegn Wudneh, Getnet Melaku Ayele

Open access · goldAbstract read
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Prevalence and Determinants of Unintended Pregnancies among Currently Pregnant, Ever-married Women in Rural and Urban Aligarh: A Community-based Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
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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

8 authors at 2 institutions in 1 country.

Wondwosen MollaDepartment of Midwifery, Dilla University, Dilla, Ethiopia.ORCID 0000-0002-4696-8821
Shewangizaw HailemariamCollege of Medicine and Health Science, Mizan-Tepi University, Mizan Teferi, Ethiopia.
Nebiyu MengistuDepartment of Psychiatry, Dilla University, Dilla, Ethiopia.
Derebe MadoroDepartment of Psychiatry, Dilla University, Dilla, Ethiopia.ORCID 0000-0001-6901-2892
Yesuneh BayisaSchool of Medicine, Dilla University, Dilla, Ethiopia.
Ruth TilahunDepartment of Midwifery, Dilla University, Dilla, Ethiopia.
Aregahegn WudnehDepartment of Midwifery, Dilla University, Dilla, Ethiopia.ORCID 0000-0003-4435-9384
Getnet Melaku AyeleDepartment of Midwifery, Dilla University, Dilla, Ethiopia.
Dilla University · ETMizan Tepi University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe term 'unintended pregnancy' refers to a pregnancy that occurred when no children were desired or occurred earlier than desired. Unintended births account for one out of every three births in Ethiopia, and they are the leading cause of maternal morbidity and mortality. During the coronavirus disease (COVID-19) pandemic, this could be useful. COVID-19 has a significant impact on maternal health care utilization, including family planning services. As a result, this study aimed to assess unintended pregnancy and associated factors in Ethiopia during the COVID-19 pandemic.

methodA community-based cross-sectional study was conducted in Gedeo zone, Ethiopia, from April 1 to May 30, 2021. A simple random sampling technique was utilized to get 383 pregnant women from their respective kebeles. A structured questionnaire was used to collect data during a face-to-face interview. The data were coded, cleaned, and entered into Epidemiological Data Version 3.1 before being exported to the Statistical Package for Social Science Version 23.0 for analysis. A bivariate and multivariable logistic regression model was used to identify statistically significant associations between dependent and independent variables. The odds ratio, with a 95% confidence interval and a P value of 0.05%, was considered statistically significant.

resultA total of 383 pregnant women participated in the study, giving a response rate of 90.8%. During the COVID-19 pandemic, 140 (36.6%) participants stated that their current pregnancy was unintended. Unintended pregnancy was significantly associated with respondents' age (adjusted odds ratio (AOR) = 5.214 (1.449-18.762)), primary decision maker for family planning services (AOR = 9.510 (5.057-17.887)), and fear of COVID-19 to visit a health care facility (AOR = 7.061 (2.665-18.710)).

conclusionDuring the COVID-19 era, more than one-third of women had unintended pregnancies. Unintended pregnancy was significantly associated with respondents' age, autonomy to use contraceptive methods, and fear of COVID-19, which required them to attend a health care institution.

Indexed as

COVID-19Pregnancy, UnplannedCross-Sectional StudiesEthiopiaFemaleHumansPandemicsPregnancyCOVID-19Ethiopiaunintended pregnancy

Identifiers

PMID35972047
PMCPMC9382576
OpenAlexW4292062333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.