剖宫产术后再次妊娠分娩方式的Bayes判别分析

目的 采用逐步Bayes判别分析方法建立剖宫产术后再次妊娠分娩方式的模型,加强护理工作的有效性.方法 选取122例剖宫产后再次妊娠住院待产的产妇,调查其医学应对方式,经腹超声检查子宫下段厚度,产科常规处理分娩过程,将试产结局分为阴道试产成功和失败两组;逐步Bayes判别建立试产成功与失败函数,用回代法和刀切法验证.结果 阴道试产成功组较失败组更多采用面对应对和回避应对(P＜0.05,P＜0.01);18个因素中年龄、面对应对、回避应对、新生儿体质量、妊娠期高血压痰病、距前次剖宫产时间和子宫下段厚度7个因素保留在判别函数中;回代法验证模型判断试产成功与失败的正确率分别是89.4%和85.7%,刀切法验证分别是89.4%和83.9%.结论 年龄、面对应对、回避应对、新生儿体质量、妊娠期高血压疾病、距前次剖宫产时间和子宫下段厚度是显著影响阴道分娩结局的因素;帮助产妇建立良性医学应对方式,利用判别函数恰当选择试产对象是提高分娩预后的关键.

Establishing A Delivery Mode for Pregnancy After Caesarean Section by Using Bayes Discriminant Analysis

Objective To establish a delivery mode for pregnancy after caesarean section by using stepwise Bayes discriminant analysis,and to improve the efficiency of nursing services.Methods A total of 122 pregnant women who had underwent caesarean section were enrolled and were investigated by filling out Medical Coping Modes Questionnaire(MCMQ),the thickness of lower uterine segment was measured by using transabdominal ultrasonography,and routine obstetric nursing care was given during viginal birth.According to th...