Factors and outcomes associated with the induction of labor in referral hospitals of Amhara regional state, Ethiopia: a multicenter study

Debele, Tibeb Zena; Cherkos, Endeshaw Admassu; Badi, Marta Berta; Anteneh, Kiber Temesgen; Demssie, Fitsum Wolde; Abdo, Abdella Amano; Mihret, Muhabaw Shumye

doi:10.1186/s12884-021-03709-5

Cited by 12 publications

(22 citation statements)

References 24 publications

(26 reference statements)

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Section: Methodsmentioning

confidence: 99%

“… Failed induction of labor (FIOL): is operationalized as the occurrence of birth by CS for the indication of failed induction of labor [ 10 – 12 , 17 , 30 ]. Bishop Score : scored out of 13 points using five parameters and used to assess cervical favorability status [ 12 , 31 ]. Artificial rupture of membrane : when a doctor or midwife puts a small hole in the bag of the membranes or waters around the baby [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

“… Premature rupture of membrane : rupture of the membrane before the onset of labor [ 33 , 34 ]. Pregnancy-induced hypertension : maternal hypertension of any type with a blood pressure of ≥140/90 mmHg during pregnancy and childbirth [ 12 ]. Nulliparous : a woman whose pregnancy never carried to viability.…”

Section: Methodsmentioning

confidence: 99%

“…The Federal Ministry of Health of Ethiopia (FMoH), defined FIOL as an inability to achieve adequate uterine contractions (3-5C/10 min/≥40s) after 6 to 8 h of oxytocin infusion with the use of its maximum dose [ 9 ]. Most other studies however defined FIOL as an inability to achieve vaginal delivery or birth through cesarean section (CS) [ 10 – 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Failed induction of labor and associated factors among women undergoing induction at University of Gondar Specialized Hospital, Northwest Ethiopia

Tadesse

Assefa

Roba

et al. 2022

BMC Pregnancy Childbirth

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Background Induction of labor is a process of artificially initiating labor to attain vaginal birth. Despite its vital role in the reduction of maternal mortality, the failure rate of induction and its contributing factors were not well studied in Ethiopia; particularly there was a limited study in the study area. This study aimed to assess the prevalence and factors associated with failed induction of labor among women undergoing induction at University of Gondar Specialized Hospital, Northwest Ethiopia. Methods An institution-based retrospective cross-sectional study was conducted among 743 women undergoing induction at University of Gondar Specialized Hospital. A systematic random sampling method was used to draw a sample and the data were retrieved from the maternity registration books and medical records. Data were cleaned and entered into EpiData version 3.1 and SPSS version 20 used for analysis. Frequencies, proportions, and summary statistics were used to describe the study population and a multivariable logistic regression model was fitted to identify factors contributing to failed induction of labor. Odds ratio with 95% confidence interval computed and level of significance declared at P-value< 5%. Results The prevalence of failed induction of labor was 24.4% (95% CI: 21.4, 27.9). Age ≤ 30 years (AOR = 3.7, 95% CI: 2.2,6.2), rural residence (AOR = 3.7, 95% CI: 2.4,5.8), being nulliparous (AOR = 2.1, 95% CI: 1.2,3.7), 5 or less Bishop Score (AOR = 3.4, 95% CI: 2.2,5.4), premature rupture of membrane (AOR = 2.7, 95% CI: 1.5,4.6), having pregnancy-induced hypertension (AOR = 4.0, 95% CI: 2.3,7.1), and artificial rupture of membrane with oxytocin (AOR = 0.2, 95% CI: 0.1, 0.4) were associated with failed induction of labor. Conclusions One-fourth of women undergoing induction at University of Gondar Specialized Hospital had failed induction of labor. Age, residence, parity, bishop score, premature-rupture of the membrane, pregnancy-induced hypertension, and method of induction were independent predictors for failed induction of labor. The combination method of ARM with oxytocin, early detection and treatment of pregnancy-induced hypertension and premature rupture of the membrane are highly recommended for reducing failed induction of labor.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Failed induction of labor and associated factors among women undergoing induction at University of Gondar Specialized Hospital, Northwest Ethiopia

Tadesse

Assefa

Roba

et al. 2022

BMC Pregnancy Childbirth

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“…The factors for IOL procedure may be classified as maternal, fetal, social [ 3 ]. IOL rates have continued to rise over the past few decades, owing to a growing focus on reducing perinatal morbidity and mortality [ 4 , 5 ]. IOL prevalence varies greatly between countries and regions globally but developed countries have reported higher rates than developing ones [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania

Tarimo

Bhuyan

Zhao

et al. 2022

BMC Pregnancy Childbirth

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Background Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorithms to correctly classify neonates with a low Apgar scores from an imbalanced learning perspective. Methods We analyzed 7716 induced vaginal deliveries from the electronic birth registry of the Kilimanjaro Christian Medical Centre (KCMC). 733 (9.5%) of which constituted of low (< 7) Apgar score neonates. The ‘extra-tree classifier’ was used to assess features’ importance. We used Area Under Curve (AUC), recall, precision, F-score, Matthews Correlation Coefficient (MCC), balanced accuracy (BA), bookmaker informedness (BM), and markedness (MK) to evaluate the performance of the selected six (6) machine learning classifiers. To address class imbalances, we examined three widely used resampling techniques: the Synthetic Minority Oversampling Technique (SMOTE) and Random Oversampling Examples (ROS) and Random undersampling techniques (RUS). We applied Decision Curve Analysis (DCA) to evaluate the net benefit of the selected classifiers. Results Birth weight, maternal age, and gestational age were found to be important predictors for the low Apgar score following induced vaginal delivery. SMOTE, ROS and and RUS techniques were more effective at improving “recalls” among other metrics in all the models under investigation. A slight improvement was observed in the F1 score, BA, and BM. DCA revealed potential benefits of applying Boosting method for predicting low Apgar scores among the tested models. Conclusion There is an opportunity for more algorithms to be tested to come up with theoretical guidance on more effective rebalancing techniques suitable for this particular imbalanced ratio. Future research should prioritize a debate on which performance indicators to look up to when dealing with imbalanced or skewed data.

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Failed induction of labor and associated factors among women delivered in Jigjiga University Sheik Hassan Yabare Referral Hospital: a cross-sectional study

Mebratu

Assefa

Zeleke

et al. 2022

Current Medical Research and Opinion

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Factors and outcomes associated with the induction of labor in referral hospitals of Amhara regional state, Ethiopia: a multicenter study

Cited by 12 publications

References 24 publications

Failed induction of labor and associated factors among women undergoing induction at University of Gondar Specialized Hospital, Northwest Ethiopia

Failed induction of labor and associated factors among women undergoing induction at University of Gondar Specialized Hospital, Northwest Ethiopia

Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania

Failed induction of labor and associated factors among women delivered in Jigjiga University Sheik Hassan Yabare Referral Hospital: a cross-sectional study

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