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

Assessment of different sonographic cervical measures to predict labor induction outcomes: a systematic review and meta-analysis

Background

Induction of labor (IOL) is a common obstetric approach to start or encourage uterine contractions to achieve a vaginal birth. It is recommended when continuing the pregnancy may be more dangerous for the mother or baby. Different ultrasonographic measures, such as cervical length, have been investigated as possible predictors of the outcomes of IOL. This meta-analysis aimed to assess the accuracy of ultrasound measurements in anticipating successful IOL.

Methods

The study conducted a thorough search on three databases (PubMed, Scopus, and Web of Science) until 04 March 2023, to find clinical studies published in English that reported different sonographic cervical measures and their ability to predict IOL outcomes. The chosen studies were stratified based on the type of indicator reported, and a meta-analysis was conducted to determine the best indicator for both successful and failed induction. The risk of bias and concerns about the applicability of the included studies was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) method.

Results

This study analyzed 57 studies with 9,338 patients. Cervical length is moderately effective in predicting successful IOL, with pooled sensitivity (SN) and specificity (SP) of 0.67 and 0.70, respectively. However, cervical length had a pooled SN and SP of 0.70 and 0.61 for predicting failed IOL. The posterior cervical angle was found to have a higher pooled SN and SP of 0.79 and 0.73 for predicting successful IOL. Fetal head-perineum distance demonstrated moderate accuracy with a pooled SN, SP, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve of 0.58, 0.66, 1.95, 0.36, 5.33, and 0.9992, respectively, for predicting successful IOL.

Conclusions

Fetal head-perineum distance was the most effective predictor for successful IOL compared to cervical length, which only had a moderate predictive ability. Shortening of cervical length was not a useful indicator for successful IOL. On the other hand, the posterior cervical angle was the most reliable factor for predicting failed induction. The study's findings can aid in developing more effective management strategies for IOL.

The Correct Indication to Induce Labour in a Swiss Cantonal Hospital

BACKGROUND

Induction of labour (IOL) is a way to stimulate the onset of labour using mechanical and pharmacological methods. IOL is one of the most frequently performed obstetric procedures worldwide. We aimed to determine compliance with guidelines and to investigate factors associated with the success of labour.

METHODS

In this retrospective, observational study, we analysed all induced deliveries in a Swiss hospital between January 2020 and December 2022.

RESULTS

Out of 1705 deliveries, 349 women underwent IOL, and 278 were included in this study, with an average age of 32 years (range 19-44 years). Most of the women were induced for missed deadlines (20.1%), the premature rupture of membranes (16.5%), and gestational diabetes mellitus (9.3%), and there was a good adherence to the guideline, especially with the indication and IOL monitoring (100%). However, an improvement needs to be made in measuring and documenting the Bishop score (41%). The success of labour was associated with multiparity (81.8% vs. 62.4% p = 0.001) and maternal non-obesity (73.4 vs. 54.1% p = 0.026).

CONCLUSIONS

An improvement is needed in the measurement and documentation of the Bishop score. Further research is needed to confirm the found associations between parity, obesity, and the success of IOL.

Outcomes and Associated Factors of Induction of Labor in East Gojjam Zone, Northwest Ethiopia: A Multicenter Cross-Sectional Study

Background

Induction of labor is the initiation of uterine contractions by artificial methods once the fetus has reached viability and prior to spontaneous onset of labor with the aim of achieving vaginal delivery. Although induction of labor is a critical life-saving intervention that potentially reduces adverse pregnancy outcomes, sometimes it has undesirable consequences for the health of the mother and/or the fetus. Hence, this study aimed to evaluate the outcomes and associated factors of labor induction.

Methods

An institution-based cross-sectional study was conducted from February 25 to May 25, 2020, among women undergoing induction at East Gojjam zone public hospitals in northwest Ethiopia. A structured interviewer-administered questionnaire was used to collect data from a sample of 411 mothers who were selected using a systematic random sampling technique. Stata/se™ Version 14 statistical software was used to analyze the data. Multivariable binary logistic regression was used to determine the potential factors affecting successful labor induction. Adjusted odds ratios with their 95% CI intervals were used to declare the strength of the association, and a variable with p value <0.05 was considered to have statistical significance.

Results

The prevalence of successful induction of labor was 70.3% (65.6, 74.7). The favorable Bishop score ((CI 3.90, 1.63-9.29); p value = 0.002), the intermediate Bishop score ((CI 3.53, 2.15-5.82); p value = 0.001), labor induction using oxytocin with cervical ripening ((CI 2.60, 1.21-5.63); p value = 0.015), and urban residence ((CI 0.48, 0.30-0.78); p value = 0.003) were associated with successful induction of labor.

Conclusion

These findings strongly suggest that cervical conditions are important determinants for the success of labor induction. Therefore, healthcare providers should confirm the favorability of the cervical status (using Bishop score) as a strict prerequisite before actual labor induction, and special consideration should be given to those pregnant women who reside in urban areas.

The prevalence and associated factors of success of labor induction in Hargeisa maternity hospitals, Hargeisa Somaliland 2022: a hospital-based cross-sectional study

BACKGROUND

The induction of labor is an artificial initiation of labor and has become one of the most common interventions in modern obstetrics to improve maternal and neonatal health. Understanding the prevalence and pregnancy outcomes following labor inductions is crucial in regions with high rates of maternal mortality and morbidity because of insufficient access to comprehensive emergency obstetric care. Therefore, this study aimed to assess the prevalence and associated factors of the success of induction of labor in Hargeisa maternity hospital Somaliland.

METHODS

A hospital-based cross-sectional study was employed among 453 women in Hargeisa maternity hospitals, Somaliland from January 1st to March 30th, 2022. Data were entered using Epi data version 4.6 and analyzed by using SPSS version 25. Bivariable and multivariable logistic regression were used to identify the associated factors with the success of labor induction and an odds ratio with a 95% confidence interval was used to measure the strength of the association. A P-value of ≤ 0.05 was considered statistically significant in multivariate analysis.

RESULTS

Of a total of 453 study participants who had undergone induction of labor, 349 (77%) of them had successful induction of labor with a 95% CI: 73%, 81%. Favorable Bishop score (AOR = 3.45, 95% CI: 1.98, 5.99), time from the start of induction to delivery < 12 h (AOR = 4.01, 95% CI: 2.16, 7.450), non-reassuring fetal heart rate pattern (AOR = 0.42, 95% CI: 0.22, 0.78) and amniotic fluid change to meconium (AOR = 0.43, 95% CI: 0.23, 0.79) were significantly associated with the success of labor induction.

CONCLUSION

This study implies that three out of four women who underwent induction had successful induction of labor. Favorable bishop score, time from the start of induction to delivery < 12 h, non-reassuring fetal heart rate pattern, and amniotic fluid change to meconium were significantly associated with the success of labor induction. The hospital should establish a clear bishop scoring system and there should be a strict follow-up on the condition of the fetal heartbeat and take corrective actions as needed. The factors related to healthcare facilities and providers need to be addressed by additional prospective studies.

Adverse neonatal outcomes and associated factors among mothers who gave birth through induced and spontaneous labor in public hospitals of Awi zone, Northwest Ethiopia: a comparative cross-sectional study

BACKGROUND

Adverse neonatal outcomes are one of the most common causes of neonatal mortality and morbidity. Empirical evidence across the world shows that induction of labor potentiates adverse neonatal outcomes. In Ethiopia, there has been limited data that compares the frequency of adverse neonatal outcomes between induced and spontaneous labor.

OBJECTIVES

To compare the prevalence of adverse neonatal outcomes between induced and spontaneous labor and to determine associated factors among women who gave birth in public hospitals of Awi Zone, Northwest Ethiopia.

METHODS

A comparative cross-sectional study was conducted at Awi Zone public hospitals from May 1 to June 30, 2022. A simple random sampling technique was employed to select 788 (260 induced and 528 spontaneous) women. The collected data were analyzed using statistical package for social science (SPSS) software version 26. The Chi-square test and an independent t-test were used for categorical and continuous variables, respectively. A binary logistic regression was used to assess the association between the outcome and explanatory variables. In the bivariate analysis, a p-value ≤ 0.2 at a 95% confidence interval was used to consider the variables in the multivariate analysis. Finally, statistical significance was stated at a p-value of less than 0.05.

RESULT

The adverse neonatal outcomes among women who gave birth through induced labor were 41.1%, whereas spontaneous labor was 10.3%. The odds of adverse neonatal outcomes in induced labor were nearly two times higher than in spontaneous labor (AOR = 1.89, 95% CI: 1.11-3.22). No education (AOR = 2.00, 95% CI: 1.56, 6.44), chronic disease (AOR = 3.99, 95% CI: 1.87, 8.52), male involvement (AOR = 2.23, 95% CI: 1.23, 4.06), preterm birth (AOR = 9.83, 95% CI: 8.74, 76.37), operative delivery (AOR = 8.60, 95% CI: 4.63, 15.90), cesarean section (AOR = 4.17, 95% CI: 1.94, 8.95), and labor complications (AOR = 5.16, 95% CI: 2.90, 9.18) were significantly associated factors with adverse neonatal outcomes.

CONCLUSION AND RECOMMENDATION

Adverse neonatal outcomes in the study area were higher. Composite adverse neonatal outcomes were significantly higher in induced labor compared to spontaneous labor. Therefore, it is important to anticipate the possible adverse neonatal outcomes and plan management strategies while conducting every labor induction.

Perinatal Outcome and Its Association with Blood Pressure Levels in Women with Preeclampsia

Background: Timing and mode of delivery in women with preeclampsia remains challenging, often balancing the risk of severe maternal complications and preterm delivery with its risks for the newborn. It is known that women with very high blood pressure levels in pregnancy have more unfavourable outcomes, but there is little data on neonatal outcome in these cases and the effect of the delivery mode. Methods: We included 158 preeclamptic women in our single-centre retrospective cohort study. Patients were divided into three subgroups depending on blood pressure levels, and delivery mode as well as neonatal outcomes were analysed. Furthermore, the effect of gestational age at delivery was assessed. Results: Maternal blood pressure levels correlated negatively with gestational age at delivery (p = 0.007) and positively with delivery via caesarean section (p = 0.003). Induction of labour was more frequent in women with lower blood pressure levels (p = 0.008) and higher gestational age (p < 0.001). If labour was induced, vaginal delivery was achieved equally often in all gestational ages. Neonatal outcome appears to be more favourable after vaginal delivery compared to planned caesarean section (p < 0.001). Conclusions: Induction of labour should be discussed generously in preeclamptic women, even if blood pressure levels are high and/or gestational age is young, as success rates seem to be adequate and neonatal outcome is more favourable after vaginal delivery. Large prospective trials are needed to better evaluate success rates, risks and complications of induced labour and the effects of delivery mode on neonatal outcome in preeclampsia.

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

OBJECTIVE

This study was aimed to assess the magnitude of failed induction of labor and associated factors among mothers delivered in Eastern Ethiopia.

METHODS

An institutional-based cross-sectional study was carried out among 364 women who had induction of labor at Jigjiga University, Sheik Hassan Yabare Referral Hospital from 2018 to 2021. A checklist was used to collect the data from the women's chart. To isolate independent predictors related to failed induction of labor, multivariate logistic regression analyses were performed.

RESULT

The magnitude of failed induction of labor was 36.8% (95% CI: 31.8, 42.0). Age (AOR = 3.2; CI: 1.78, 5.75), rural residency (AOR = 2.28; CI:1.29, 4.01), para (AOR = 2.76; CI: 1.55, 4.91), gestational age (AOR = 2.65; CI: 1.44, 4.89), multiple pregnancy (AOR = 2.36; CI: 1.01, 5.55), premature rapture of membrane (AOR = 4.88; CI: 2.33, 10.21), pregnancy-induced hypertension (AOR = 5.11; CI: 2.67, 9.79), and bishop score (AOR = 1.95; CI: 1.15, 3.32) were significantly associated with failed induction of labor.

CONCLUSION

The magnitude of failed induction of labor was relatively high in the study setting. Failed induction of labor was significantly associated with age, rural residency, primipara, gestational age, multiple pregnancy, premature rapture of membrane, PIH, and bishop score less than six. Prior to initiating the induction of labor, proper pelvis assessment and cervical ripening for bishop score might be considered. Beside to this, adherence to locally available induction protocols and guidelines might also be needed.

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

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.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04534-0.