| Literature DB >> 34733510 |
Getahun Tiruye1, Kassiye Shiferaw1, Abera Kenay Tura1,2, Adera Debella1, Abdulbasit Musa1.
Abstract
BACKGROUND: Premature rupture of the membrane is a serious public health problem, especially in low- and middle-income countries with significant maternal and perinatal morbidity and mortality. Despite its substantial contributions to feto-maternal complications, the burden of premature rupture of the membrane was not systematically analyzed in Ethiopia. Hence, this review aimed to identify the burden of premature rupture of the membrane and associated factors among pregnant women in Ethiopia.Entities:
Keywords: Ethiopia; Premature rupture of membrane; meta-analysis
Year: 2021 PMID: 34733510 PMCID: PMC8558797 DOI: 10.1177/20503121211053912
Source DB: PubMed Journal: SAGE Open Med ISSN: 2050-3121
Figure 1.Flowchart showing the procedure of selecting studies for the systematic review and meta-analysis, until 23 February 2021.
Descriptive summary of studies included in the meta-analysis of prevalence and associated factors of PROM in Ethiopia.
| First author | Publication year | Study region | Study design | Sample size | Prevalence | Quality of the study |
|---|---|---|---|---|---|---|
| Tadesse et al.
| 2017 | Oromia | Cross-sectional | 807 | 3.8 | Low risk |
| Addisu et al.
| 2020 | Amhara | Cross-sectional | 424 | 13.8 | Low risk |
| Woyessa et al.
| 2020 | Oromia | Cross-sectional | 284 | 13.4 | Low risk |
| Yadeta et al.
| 2020 | Harari | Cross-sectional | 1688 | 23.5 | Low risk |
| Mirkuzie et al.
| 2016 | Addis Ababa | Cross-sectional | 2820 | 19.7 | Low risk |
| Endale et al.
| 2016 | SNNPR | Cross-sectional | 4525 | 4.1 | Low risk |
| Diriba et al.
| 2017 | Oromia | Cross-sectional | 2896 | 14.6 | Low risk |
| Woldegeorges et al.
| 2019 | Tigray | Cross-sectional | 212 | 13.7 | Low risk |
| Sirak et al.
| 2014 | Addis Ababa | Cross-sectional | 8283 | 1.4 | Low risk |
| Workineh et al.
| 2017 | SNNPR | Case-control | 298 | – | Low risk |
| Assefa et al.
| 2018 | Tigray | Case-control | 2440 | – | Low risk |
PROM: premature rupture of the membrane; SNNPR: South Nations, Nationalities, and People’s Republic.
Subgroup analysis of the prevalence of PROM in Ethiopia.
| Variable | Characteristics | Number of studies | Sample size | Prevalence (95% CI) | Heterogeneity |
|---|---|---|---|---|---|
| By region | Oromia | 3 | 3987 | 9.3 (4.3, 18.9) | 96.5 |
| Amhara | 1 | 424 | 13.7 (10.3, 17.3) | – | |
| Harari | 1 | 1688 | 23.5 (21.6, 25.6) | – | |
| Addis Ababa | 2 | 11,103 | 5.5 (0.3, 49.7) | 99.8 | |
| SNNPR | 1 | 4525 | 4.1 (3.5, 4.7) | – | |
| Tigray | 1 | 212 | 13.7 (9.7, 19.0) | – | |
| By sample size | <500 | 3 | 708 | 13.6 (11.5, 16.0) | 0.00 |
| 500–1000 | 1 | 807 | 3.8 (2.7, 5.4) | – | |
| >1000 | 5 | 20,212 | 8.6 (3.6, 19.3) | 99.3 | |
| Study setting | General Hospital | 4 | 1727 | 10.1 (5.5, 17.6) | 93.1 |
| Tertiary Hospital | 3 | 15,704 | 4.4 (1.1, 16.4) | 99.6 |
PROM: premature rupture of the membrane; CI: confidence interval; SNNPR: South Nations, Nationalities, and People’s Republic.
Figure 2.Forest plot showing the pooled effect of ANC on PROM in Ethiopia.
Figure 3.Forest plot showing the pooled effect of the previous PROM on premature rupture of the membrane in Ethiopia.
Figure 4.Forest plot showing the pooled effect of abortion history on PROM in Ethiopia.
Figure 5.Forest plot showing the pooled effect of UTI on PROM in Ethiopia.
Figure 6.Forest plot showing the pooled effect of abnormal vaginal discharge on PROM in Ethiopia.