| Literature DB >> 35865171 |
Beshada Zerfu Woldegeorgis1, Mohammed Suleiman Obsa2, Lemi Belay Tolu3, Efa Ambaw Bogino4, Tesfalem Israel Boda1, Henok Berhanu Alemu1.
Abstract
Background: Episiotomy, a surgical procedure that enlarges the vaginal opening during childbirth, was common practice until the early 2000s. Other sources, including the World Health Organization (WHO), advocate for the selective use of episiotomy. Episiotomy rates, on the other hand, have remained high in developing countries, while declining in developed countries. As a result, the current study sought to determine the overall prevalence of episiotomy in Africa as well as the risk factors associated with its practice.Entities:
Keywords: Africa; associated factors; delivery; episiotomy; parturient; perineum
Year: 2022 PMID: 35865171 PMCID: PMC9295659 DOI: 10.3389/fmed.2022.905174
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1PRISMA flow diagram of included studies in the systematic review and meta-analysis of episiotomy practice and its associated factors in Africa, 2022.
The characteristics of the studies included in the systematic review and meta-analysis.
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| Yemaneh et al. ( | 2015 | Ethiopia | East Africa | Cross-Sectional | 140/338 | 95/195 | 48.7 | 45/143 | 31.5 | 41.4 | Low risk |
| Woretaw et al. ( | 2021 | Ethiopia | East Africa | Cross-Sectional | 181/410 | NR | NR | NR | NR | 44.2 | Low risk |
| Kidane et al. ( | 2016 | Ethiopia | East Africa | Cross-sectional | 144/407 | 70/140 | 50.0 | 74/267 | 27.7 | 35.4 | Low risk |
| Worku et al. ( | 2019 | Ethiopia | East Africa | Cross-Sectional | 134/387 | 102/158 | 64.6 | 32/229 | 14.0 | 35.2 | Low risk |
| Beyene et al. ( | 2020 | Ethiopia | East Africa | Cross-Sectional | 169/411 | 99/154 | 64.3 | 70/257 | 27.2 | 41.1 | Low risk |
| Fikadu et al. ( | 2020 | Ethiopia | East Africa | Cross-Sectional | 272/400 | 171/212 | 80.7 | 101/188 | 53.7 | 68.0 | Low risk |
| Tobiaw Tefera and Mekonen ( | 2019 | Ethiopia | East Africa | Cross-Sectional | 265/405 | 181/215 | 86.1 | 84/190 | 44.2 | 65.4 | Low risk |
| Teshome et al. ( | 2020 | Ethiopia | East Africa | Cross-Sectional | 146/306 | 118/221 | 53.4 | 28/85 | 32.9 | 47.7 | Low risk |
| Okeke et al. ( | 2012 | Nigeria | West Africa | Cross-Sectional | 1201/3,032 | 624/789 | 79.1 | 577/2,243 | 25.7 | 39.6 | Low risk |
| Alayande et al. ( | 2012 | Nigeria | West Africa | Cross-Sectional | 96/280 | 69/111 | 62.2 | 27/169 | 16.0 | 34.3 | Low risk |
| Onah and Akani ( | 2004 | Nigeria | West Africa | Cross-Sectional | 175/433 | 99/130 | 76.2 | 76/303 | 25.1 | 40.4 | Low risk |
| Izuka et al. ( | 2014 | Nigeria | West Africa | Cross-Sectional | 411/662 | NR | NR | NR | NR | 62.1 | Low risk |
| Chigbu et al. ( | 2008 | Nigeria | West Africa | Cross-Sectional | 1,877/4,174 | 1,150/1,277 | 90.1 | 727/2,897 | 25.1 | 45.0 | Low risk |
| Owa et al. ( | 2015 | Nigeria | West Africa | Cross-Sectional | 68/728 | 44/212 | 20.8 | 24/516 | 4.7 | 9.3 | Low risk |
| Ayyuba et al. ( | 2016 | Nigeria | West Africa | Cross-Sectional | 5,040/12,168 | 2,844/3,582 | 79.4 | 2,196/8,586 | 25.6 | 41.4 | Low risk |
| Enyindah et al. ( | 2007 | Nigeria | West Africa | Cross-Sectional | 1,846/4,720 | 972/1,260 | 77.1 | 874/3,460 | 25.3 | 39.1 | Low risk |
| Pebolo et al. ( | 2019 | Uganda | East Africa | Cross-Sectional | 181/249 | NR | NR | NR | NR | 73.0 | Low risk |
| Innocent et al. ( | 2018 | DRC | Central Africa | Cross-Sectional | 939/1,878 | 378/492 | 76.8 | 561/1,386 | 40.5 | 50.0 | Low risk |
| Bergh et al. ( | 2003 | Zimbabwe | East Africa | Cross-Sectional | 965/3,589 | 838/1,560 | 53.8 | 127/2,029 | 6.3 | 27.0 | Low risk |
| Morhe et al. ( | 2004 | Ghana | West Africa | Cross-Sectional | 374/2,151 | 268/847 | 31.6 | 0/1,304 | 0 | 17.4 | Low risk |
| Adama et al. ( | 2018 | Burkina Faso | West Africa | Cross-Sectional | 813/3,703 | NR | NR | NR | NR | 22.0 | Low risk |
DRC, Democratic Republic of the Congo; NR, Not reported; %, Percentage.
Figure 2Overall pooled prevalence of episiotomy practice in Africa, 2022.
Figure 3The pooled prevalence of episiotomy practice among primiparous women in Africa, 2022.
Figure 4The pooled prevalence of episiotomy practice among multiparous women in Africa, 2022.
Figure 5Subgroup analyses on the pooled prevalence of episiotomy practice by African regions, 2022 (source: https://en.wikipedia.org/wiki/List_of_regions_of_Africa).
Meta regression analysis of factors affecting between study heterogeneity.
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| Year | 0.0088525 | 0.0426002 | 0.21 | 0.838 | −0.0806471 | 0.0983522 |
| Sample size | 0.0000309 | 0.0000559 | 0.55 | 0.588 | −0.0000865 | 0.0001482 |
Sensitivity analysis of pooled prevalence with each study removed one by one.
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| Yemaneh et al. ( | 41.705051 | 35.847664 | 47.562439 |
| Woretaw et al. ( | 41.570477 | 35.714336 | 47.42662 |
| Kidane et al. ( | 42.004498 | 36.133785 | 47.87521 |
| Worku et al. ( | 42.041344 | 36.172348 | 47.910336 |
| Beyene et al. ( | 41.720245 | 35.8564 | 47.584087 |
| Fikadu et al. ( | 40.381493 | 34.705494 | 46.057491 |
| Tobiaw Tefera and Mekonen ( | 40.511047 | 34.801342 | 46.220753 |
| Teshome et al. ( | 41.397526 | 35.557297 | 47.237751 |
| Okeke et al. ( | 41.805637 | 35.741482 | 47.869793 |
| Alayande et al. ( | 42.053123 | 36.194939 | 47.911308 |
| Onah and Akani ( | 41.755241 | 35.888203 | 47.622284 |
| Izuka et al. ( | 40.66296 | 34.972534 | 46.353386 |
| Pebolo et al. ( | 40.173367 | 34.488853 | 45.857876 |
| Chigbu et al. ( | 41.530357 | 35.533012 | 47.527702 |
| Innocent et al. ( | 41.268299 | 35.447868 | 47.08873 |
| Owa et al. ( | 43.314487 | 37.978573 | 48.650406 |
| Ayyuba et al. ( | 41.726723 | 35.287895 | 48.16555 |
| Enyindah et al. ( | 41.836052 | 35.640514 | 48.03159 |
| Bergh et al. ( | 42.452347 | 36.423828 | 48.480865 |
| Morhe et al. ( | 42.917702 | 37.378407 | 48.456997 |
| Adama et al. ( | 42.694324 | 36.942516 | 48.446133 |
| Combined | 41.690794 | 35.994615 | 47.386973 |
Figure 6Funnel plots for publication bias for episiotomy practice in Africa, 2022.
Egger's test for small study effects.
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| Slope | 30.73632 | 5.047684 | 6.09 | 0.000 | 20.1714 | 41.30125 |
| Bias | 5.587953 | 4.809744 | 1.16 | 0.260 | −4.478956 | 15.65486 |
Factors associated with episiotomy practice in Africa, 2022.
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| Age of the mother ( | <35/≥35 | 5 | 5,895 | 0.879 (0.104–7.420) | 0.906 | 94.7 | <0.001 | 0.757 |
| Birth attendant ( | Physicians vs. midwives | 3 | 1,447 | 3.675 (2.034–6.640) | <0.001* | 72.6 | 0.026 | 0.764 |
| Gestational age ( | ≥37 vs. <37 wks | 3 | 5,347 | 1.232 (0.604–2.513) | 0.565 | 72.6 | 0.026 | 0.727 |
| Mode of delivery ( | None SVD vs. SVD | 10 | 26,643 | 5.578 (4.285–7.260) | <0.001* | 65.1 | 0.002 | 0.15 |
| Oxytocin use ( | Yes vs. No | 3 | 1,228 | 4.207 (3.100–5.709) | <0.001* | 0.0 | 0.488 | 0.559 |
| Prolonged second labor ( | Yes vs. No | 5 | 1,750 | 5.533 (4.252–7.199) | <0.001* | 0.0 | 0.456 | 0.104 |
| Birth weight ( | Macrosomia vs. normal | 6 | 16,677 | 5.320 (2.738–10.339) | <0.001* | 78.3 | <0.001 | 0.084 |
| Parity ( | Primiparity vs. multiparty | 13 | 27,778 | 6.796 (4.862–9.498) | <0.001* | 95.1 | <0.001 | 0.051 |
SVD, Spontaneous vertex delivery; vs, versus; OR, Odds Ratio; CI, Confidence Interval;* a significant level at 5%.