Background:Induction of labor (IOL) is increasingly common in Ugandan referral hospitals but remains a clinical challenge due to its association with adverse maternal and perinatal outcomes. Identifying predictors of failed induction is crucial for optimizing patient care and outcomes. This study aimed to determine the incidence and predictors of failed induction of labor at Jinja Regional Referral Hospital.
Materials and Methods: A hospital-based prospective cohort study was conducted among 150 women undergoing labor induction at Jinja Regional Referral Hospital from July 4, 2023, to September 29, 2023. Participants were recruited using a consecutive sampling technique, and data were collected using a pretested questionnaire. A log-binomial regression model was utilized to estimate the relative risk of failed induction for each associated factor, controlling for potential confounders.
Results: The incidence of failed induction of labor was 35.33%. Nulliparity (P0) was associated with a heightened risk of failed induction compared to primi/multiparity (P1 or more), as indicated by an adjusted relative risk (aRR) of 1.68 (95% CI: 1.27-2.22, p < 0.001). A pre-induction Bishop score <6 significantly increased the risk, with an aRR of 2.44 (95% CI: 1.63-3.67, p < 0.001). Higher BMI (≥30 kg/m²) was found to pose a substantial risk, with an aRR of 1.87 (95% CI: 1.42-2.48, p < 0.001). Infants with a birth weight ≥3.5kg exhibited a notably elevated risk, with an aRR of 1.14 (95% CI: 1.13-1.14, p < 0.001).
Conclusion: The study found a fIOL incidence rate of 35.33%, consistent with the varying global trends, emphasizing the need for standardized definitions and protocols in assessing induction outcomes. Parity, pre-induction Bishop Score, birth weight, and BMI were identified as predictors of fIOL, highlighting the importance of considering maternal characteristics and obstetric factors in predicting induction outcomes.