Application of predictive nursing based on root cause analysis in women with vaginal delivery
基于根因分析法的预见性护理在经阴道分娩产妇中的运用

摘要

目的 探究基于根因分析法的预见性护理在经阴道分娩产妇中的应用效果。方法 选择我院在2023年1月份至2024年1月份收治的80例产妇进行研究，随机分成对照组和实验组，每组40例产妇，对照组常规护理，实验组基于根因分析法的预见性护理，分析两组产妇的出血率、出血量、会阴侧切率以及助产士的综合能力。结果 两组产妇通过提供不同的干预措施后，实验组产妇的出血率、出血量、会阴侧切率低于对照组，p<0.05，对比综合能力评分，实验组高于对照组，p<0.05。结论 为经阴道分娩的产妇提供基于根因分析法的预见性护理，可以降低产妇生产期间的出血量、降低出血率，减少产妇会阴侧切的风险，提升助产士的综合能力。

Abstract

Objective To explore the application effect of predictive nursing based on root cause analysis in women with vaginal delivery.
Methods A total of 80 parahernia patients admitted to our hospital from January 2023 to January 2024 were selected for the study and randomly divided into control group and experimental group, with 40 parahernia patients in each group. Routine nursing in the control group and predictive nursing in the experimental group based on root cause analysis were used to analyze the bleeding rate, bleeding volume, perineal lateral incision rate and the comprehensive ability of midwives in the two groups.
Results After providing different intervention measures, the bleeding rate, bleeding volume and perineal lateral incision rate of the experimental group were lower than those of the control group, p<0.05, and the comprehensive ability score of the experimental group was higher than that of the control group, p<0.05.
Conclusion   Providing predictive care based on root cause analysis can reduce the amount of blood loss during childbirth, reduce the rate of bleeding, reduce the risk of lateral perineal incision and improve the comprehensive ability of midwives.