Risk factors for postpartum readmission: a prediction model in Iranian pregnant women

Abstract

Background Postpartum readmissions (PPRs) are an important indicator of maternal postpartum complications and the quality of medical services and are important for reducing medical costs. The present study aimed to investigate the risk factors affecting readmission after delivery in Imam Ali Hospital in Amol, Iran. Methods This retrospective cohort study was conducted on the mothers who were readmitted after delivery within 30 days, at Imam Ali Hospital (2019–2023). The demographic and obstetrics characteristics were identified through the registry system. Univariate and multivariate logistic regressions with odds ratios (ORs) and 95% CIs were carried out. To identify the most important variables by machine learning methods, a random forest model was used. The data were analyzed using SPSS 22 software and R (4.1.3) at a significant level of 0.05. Results Among 13,983 deliveries 164 (1.2%) had readmission after delivery. The most prevalent cause of readmission after delivery was infection (59.7%). The chance of readmission for women who underwent elective cesarean section and women who experienced labor pain onset by induction of labor was twice and 1.5 times greater than that among women who experienced spontaneous labor pain, respectively. Women with pregnancy complications had more than 2 times the chance of readmission. Cesarean section increased the chance of readmission by 2.69 times compared to normal vaginal delivery. Conclusion The method of labor pain onset, mode of delivery, and complications during pregnancy were the most important factors related to readmission after childbirth.