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Meta-Analysis
. 2021 Sep;21(3):1321-1333.
doi: 10.4314/ahs.v21i3.43.

Preterm birth and its associated factors in Ethiopia: a systematic review and meta-analysis

Fikadu Waltengus Sendeku  1 , Fentahun Yenealem Beyene  1 , Azimeraw Arega Tesfu  1 , Simachew Animen Bante  1 , Getnet Gedefaw Azeze  2
Affiliations
Meta-Analysis

Preterm birth and its associated factors in Ethiopia: a systematic review and meta-analysis

Fikadu Waltengus Sendeku et al. Afr Health Sci. 2021 Sep.

Abstract

Background: Preterm birth is a public health concern globally. In low- and middle-income countries, like Ethiopia, preterm birth is under reported and underestimated. Therefore, this systematic review and meta-analysis assessed the pooled prevalence and associated risk factors for preterm birth in Ethiopia.

Methods: In this review the databases used were PubMed, Google scholar, EMBASE, HINARI and African journal online. Publication bias was checked using a funnel plot and Eggers test.

Results: A total of 30 studies were included in this systematic review and meta-analysis. The overall pooled prevalence of preterm birth in Ethiopia was 11.4% (95% CI; 9.04, 13.76). On pooled analysis, preterm birth was associated with pregnancy-induced hypertension being HIV-positive, premature rupture of membrane, rural residence, the mother having a history of abortion, multiple pregnancies, and anemia during pregnancy.

Conclusion: The national prevalence of preterm birth in Ethiopia was low. Early identifying those pregnant women who are at risk of the above determinants and proving quality healthcare and counsel them how to prevent preterm births, which decrease the rate of preterm birth and its consequences. So, both governmental and non-governmental health sectors work on the minimization of these risk factors.

Keywords: Ethiopia; Prevalence; determinants; meta-analysis; pre-term birth; systematic review.

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Figures

Figure 1
Figure 1
Flow chart of study selection for systematic review and meta-analysis of preterm birth in Ethiopia.
Figure 2
Figure 2
Forest funnel plot of the pooled prevalence of preterm birth in Ethiopia
Figure 3
Figure 3
Funnel plot of publication bias a (before an adjustment
Figure 3b
Figure 3b
(after trim-fill analysis was computed)
Figure 4
Figure 4
Sensitivity analysis of the pooled prevalence of preterm birth in Ethiopia
See this image and copyright information in PMC

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