Predictors of maternal satisfaction with labor induction: A prospective observational cohort study
Document Type
Article
Publication Date
11-1-2023
Abstract
ObjectiveTo identify independent predictors of maternal satisfaction with labor induction. MethodIn this prospective observational cohort study, 769 women prior to their labor induction had sleep and psychological well-being assessed using Pittsburgh Sleep Quality Index and Depression, Anxiety and Stress Scales. Women were asked about the adequacy of labor induction information provided and their involvement and time pressure felt in the decision-making for their labor induction. Maternal characteristics, induction and intrapartum care measures, and labor and neonatal outcomes were also assessed. Prior to discharge, women rated their satisfaction with their birth experience. ResultsA total of 34 variables were considered for bivariate analysis, with 15 found to have P < 0.05. Following adjusted analysis, 10 independent predictors of maternal satisfaction were identified: maternal education, previous cesarean delivery, maternal involvement, information provided, and decision-making time pressure regarding labor induction, amniotomy, induction to delivery interval, mode of delivery, postpartum hemorrhage, and neonatal admission. Maternal satisfaction was not associated with sleep, depression, anxiety, or stress. ConclusionThe identification of independent predictors of maternal satisfaction allows for patient selection, targeting of specific preinduction and intrapartum care, and focus on induction methods that can reduce induction to delivery interval, cesarean birth, and delivery blood loss to maximize women's satisfaction with labor induction.
Keywords
amniotomy, anxiety, cesarean, depression, education, hemorrhage, labor induction, neonatal admission, predictor, satisfaction, sleep, stress
Divisions
obstetrics
Publication Title
International Journal of Gynecology & Obstetrics
Volume
163
Issue
2
Publisher
Elsevier
Publisher Location
111 RIVER ST, HOBOKEN 07030-5774, NJ USA