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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.
CONCLUSIONS: The method of labor pain onset, mode of delivery, and complications during pregnancy were the most important factors related to readmission after childbirth.
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.
CONCLUSIONS: The method of labor pain onset, mode of delivery, and complications during pregnancy were the most important factors related to readmission after childbirth.
摘要：
背景：产后再入院（PPRs）是产妇产后并发症和医疗服务质量的重要指标，对于降低医疗成本很重要。本研究旨在探讨影响阿莫尔地区伊玛目阿里医院分娩后再入院的危险因素,伊朗。
方法：这项回顾性队列研究是对分娩后30天内再次入院的母亲进行的，在伊玛目阿里医院（2019-2023年）。通过注册系统确定了人口统计学和产科特征。进行了具有比值比（OR）和95％CI的单变量和多变量逻辑回归。通过机器学习方法识别最重要的变量，使用随机森林模型。采用SPSS22软件和R(4.1.3)对数据进行显著性水平0.05的分析。
结果：在13,983例分娩中，164例（1.2%）分娩后再次入院。分娩后再入院的最常见原因是感染（59.7％）。接受选择性剖宫产的妇女和因引产而经历分娩疼痛发作的妇女再次入院的机会是经历自发性分娩疼痛的妇女的两倍和1.5倍。分别。有妊娠并发症的妇女再次入院的机会超过2倍。与正常阴道分娩相比，剖宫产再次入院的机会增加了2.69倍。
结论：分娩疼痛发作的方法，交货方式,妊娠期间并发症是分娩后再入院的最重要因素。
方法：这项回顾性队列研究是对分娩后30天内再次入院的母亲进行的，在伊玛目阿里医院（2019-2023年）。通过注册系统确定了人口统计学和产科特征。进行了具有比值比（OR）和95％CI的单变量和多变量逻辑回归。通过机器学习方法识别最重要的变量，使用随机森林模型。采用SPSS22软件和R(4.1.3)对数据进行显著性水平0.05的分析。
结果：在13,983例分娩中，164例（1.2%）分娩后再次入院。分娩后再入院的最常见原因是感染（59.7％）。接受选择性剖宫产的妇女和因引产而经历分娩疼痛发作的妇女再次入院的机会是经历自发性分娩疼痛的妇女的两倍和1.5倍。分别。有妊娠并发症的妇女再次入院的机会超过2倍。与正常阴道分娩相比，剖宫产再次入院的机会增加了2.69倍。
结论：分娩疼痛发作的方法，交货方式,妊娠期间并发症是分娩后再入院的最重要因素。
