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Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis

BACKGROUND: The rates of successful vaginal birth after previous cesarean section (VBAC) have been increasing with minimal complication. Successful vaginal birth after cesarean section improves maternal and fetal outcomes by shortening the length of hospital stay, avoiding abdominal surgery, decreas...

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Autores principales: Mekonnen, Birye Dessalegn, Asfaw, Aragaw Awoke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878746/
https://www.ncbi.nlm.nih.gov/pubmed/36703101
http://dx.doi.org/10.1186/s12884-023-05396-w
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author Mekonnen, Birye Dessalegn
Asfaw, Aragaw Awoke
author_facet Mekonnen, Birye Dessalegn
Asfaw, Aragaw Awoke
author_sort Mekonnen, Birye Dessalegn
collection PubMed
description BACKGROUND: The rates of successful vaginal birth after previous cesarean section (VBAC) have been increasing with minimal complication. Successful vaginal birth after cesarean section improves maternal and fetal outcomes by shortening the length of hospital stay, avoiding abdominal surgery, decreasing the risk of infections and hemorrhage, and decreasing injury of the bladder and bowel. Despite a few single studies stating different predictors of successful VBAC, there is a lack of nationwide data to show the determinants of successful VBAC. Thus, this meta-analysis aimed to determine the predictors of successful VBAC in Ethiopia. METHODS: A systematic literature search was performed from PubMed, Web of Sciences, EMBASE, CINAHL, and Google scholar until July 25, 2022. The quality of included studies was evaluated using the Joanna Briggs Institute (JBI) critical appraisal checklist. The analysis was executed using Stata 14 statistical software. Heterogeneity was evaluated statistically using Cochran’s Q-statistic and quantified by the I(2) value. A random-effects model was used to estimate the determinants of successful vaginal birth after a cesarean section if substantial heterogeneity was detected across included studies; otherwise, a fixed-effects model was used. RESULTS: Women living in rural residence (AOR: 2.14; 95% CI: 1.01, 4.52), history of previous spontaneous vaginal delivery (AOR: 2.92; 95% CI: 2.02, 4.23), previous successful vaginal birth after previous cesarean section (AOR: 5.29; 95% CI: 2.20, 12.69), history of stillbirth (AOR: 1.57; 95% CI: 1.20, 2.04), cervical dilation of ≥ 4 cm at admission (AOR: 2.14; 95% CI: 1.27, 3.61), spontaneous ruptured membranes at admission (AOR: 1.32; 95% CI: 1.17, 1.48) were independent determinants of successful vaginal birth after previous cesarean section. CONCLUSION: The results of this meta-analysis showed that successful VBAC was influenced by past and present obstetric conditions and other predictors. Thus, it is recommended that obstetric care providers should emphasize those factors that lead to successful vaginal birth during counseling and optimal selection of women for the trial of labour after cesarean section. SYSTEMATIC REVIEW AND META-ANALYSIS REGISTRATION: PROSPERO CRD42022329567. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05396-w.
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spelling pubmed-98787462023-01-27 Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis Mekonnen, Birye Dessalegn Asfaw, Aragaw Awoke BMC Pregnancy Childbirth Research BACKGROUND: The rates of successful vaginal birth after previous cesarean section (VBAC) have been increasing with minimal complication. Successful vaginal birth after cesarean section improves maternal and fetal outcomes by shortening the length of hospital stay, avoiding abdominal surgery, decreasing the risk of infections and hemorrhage, and decreasing injury of the bladder and bowel. Despite a few single studies stating different predictors of successful VBAC, there is a lack of nationwide data to show the determinants of successful VBAC. Thus, this meta-analysis aimed to determine the predictors of successful VBAC in Ethiopia. METHODS: A systematic literature search was performed from PubMed, Web of Sciences, EMBASE, CINAHL, and Google scholar until July 25, 2022. The quality of included studies was evaluated using the Joanna Briggs Institute (JBI) critical appraisal checklist. The analysis was executed using Stata 14 statistical software. Heterogeneity was evaluated statistically using Cochran’s Q-statistic and quantified by the I(2) value. A random-effects model was used to estimate the determinants of successful vaginal birth after a cesarean section if substantial heterogeneity was detected across included studies; otherwise, a fixed-effects model was used. RESULTS: Women living in rural residence (AOR: 2.14; 95% CI: 1.01, 4.52), history of previous spontaneous vaginal delivery (AOR: 2.92; 95% CI: 2.02, 4.23), previous successful vaginal birth after previous cesarean section (AOR: 5.29; 95% CI: 2.20, 12.69), history of stillbirth (AOR: 1.57; 95% CI: 1.20, 2.04), cervical dilation of ≥ 4 cm at admission (AOR: 2.14; 95% CI: 1.27, 3.61), spontaneous ruptured membranes at admission (AOR: 1.32; 95% CI: 1.17, 1.48) were independent determinants of successful vaginal birth after previous cesarean section. CONCLUSION: The results of this meta-analysis showed that successful VBAC was influenced by past and present obstetric conditions and other predictors. Thus, it is recommended that obstetric care providers should emphasize those factors that lead to successful vaginal birth during counseling and optimal selection of women for the trial of labour after cesarean section. SYSTEMATIC REVIEW AND META-ANALYSIS REGISTRATION: PROSPERO CRD42022329567. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05396-w. BioMed Central 2023-01-26 /pmc/articles/PMC9878746/ /pubmed/36703101 http://dx.doi.org/10.1186/s12884-023-05396-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mekonnen, Birye Dessalegn
Asfaw, Aragaw Awoke
Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis
title Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis
title_full Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis
title_fullStr Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis
title_full_unstemmed Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis
title_short Predictors of successful vaginal birth after a cesarean section in Ethiopia: a systematic review and meta-analysis
title_sort predictors of successful vaginal birth after a cesarean section in ethiopia: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878746/
https://www.ncbi.nlm.nih.gov/pubmed/36703101
http://dx.doi.org/10.1186/s12884-023-05396-w
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