Evidence map›Paper›PMID 25885483›Full record

ArticleBMC public health2015

Predictors of abortions in Rural Ghana: a cross-sectional study.

George Adjei, Yeetey Enuameh, Kwaku Poku Asante, Frank Baiden, Obed Ernest A Nettey, Sulemana Abubakari, Emmanuel Mahama, Stephaney Gyaase, Seth Owusu-Agyei

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

George AdjeiKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. George.Adjei@Kintampo-hrc.org.
Yeetey EnuamehKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Yeetey@gmail.com.
Kwaku Poku AsanteKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Kwakupoku.Asante@Kintampo-hrc.org.
Frank BaidenPATH, Cantonments, P.O. Box CT 307, Accra, Ghana. Baidenf@gmail.com.
Obed Ernest A NetteyKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Ernest.Nettey@Kintampo-hrc.org.
Sulemana AbubakariKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Abubakari.Sulemana@Kintampo-hrc.org.
Emmanuel MahamaKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Emmanuel.Mahama@Kintampo-hrc.org.
Stephaney GyaaseKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Stepaney.Gyaase@Kintampo-hrc.org.
Seth Owusu-AgyeiKintampo Health Research Centre, P.O. Box 200, Kintampo, Ghana. Seth.Owusu-Agyei@Kintampo-hrc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbortion continues to be used as a method of family planning by many women. The complications of unsafe abortions are a major contributor to maternal mortality in sub-Saharan Africa, including Ghana. This study explored the influence of socio-demographic characteristics on abortions in 156 communities within the Kintampo Health and Demographic Surveillance System (KHDSS) area located in the middle part of Ghana.

methodsA survey on Sexual and Reproductive Health among a representative sample of females aged 15-49 years was conducted in 2011. They were asked about the outcome of pregnancies that occurred between January 2008 and December 2011. Data on their socio-demographic characteristics including household assets were accessed from the database of the KHDSS. Univariate and multivariate random effects logistic regression models were used to explore the predictors of all reported cases of abortion (induced or spontaneous) and cases of induced abortion respectively.

resultsA total of 3554 women were interviewed. Of this total, 2197 women reported on the outcomes of 2723 pregnancies that occurred over the period. The number of all reported cases of abortions (induced and spontaneous) and induced abortions were 370 (13.6%) and 101 (3.7%) respectively. Unmarried women were more likely to have abortion as compared to married women (aOR = 1.77, 95% CI [1.21-2.58], p = 0.003). Women aged 20-29 years were 43% less likely to have abortion in comparison with those within the ages 13-19 years (aOR = 0.57, 95% CI [0.34-0.95], p = 0.030). Women with primary, middle/junior high school (JHS) and at least secondary education had higher odds of having abortion as compared to women without education. Compared with the most poor women, wealthiest women were three-fold likely to have abortion. Unmarried women had higher odds of having induced abortion as compared to married women (aOR = 7.73, 95% CI [2.79-21.44], p < 0.001). Women aged 20-29 years, 30-39 years and 40-49 years were less likely to have induced abortion as compared to those 13-19 years of age.

conclusionExtra efforts are needed to ensure that family planning services, educational programs on abortion and abortion care reach the target groups identified in this study.

Indexed as

Rural PopulationAbortion, InducedAbortion, SpontaneousAdolescentAdultContraception BehaviorCross-Sectional StudiesFemaleGhanaHumansInterviews as TopicLogistic ModelsMiddle AgedPregnancyQualitative ResearchSocioeconomic Factors

Identifiers

PMID25885483
PMCPMC4350647

What OpenQuestion holds

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LicenceCC BY
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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.