SBAR沟通模式在剖宫产产妇围手术期访视中的应用效果
Application Effect of SBAR Communication Mode in Perioperative Visits of Cesarean Section Patients
张志英 1张侠 1廖瑞 1王敏1
作者信息
- 1. 淮滨县人民医院妇产科,信阳 464400
- 折叠
摘要
目的:探讨SBAR沟通模式在剖宫产产妇围手术期访视中的应用效果.方法:选取2020 年1 月至2022 年12 月本院收治的 86 例剖宫产产妇作为研究对象,按照沟通模式的不同分为观察组(n =48,采用SBAR沟通模式)和对照组(n = 38,采用常规沟通模式).对比两组产妇心理状况[焦虑自评量表(SAS)]与[抑郁自评量表(SDS)]、手术信息的认知程度及并发症发生率.结果:干预后,观察组产妇SAS、SDS评分显低于对照组,差异有统计学意义(P＜0.05).干预后,观察组产妇信息认知程度高于对照组,差异有统计学意义(P＜0.05).观察组产妇并发症发生率(6.25%)低于对照组(26.31%),差异有统计学意义(P＜0.05).结论:使用SBAR沟通模式对剖宫产患者进行围手术期访视,可以有效减少产妇焦虑抑郁情绪,提高产妇的认知水平,减少产妇并发症的发生.
Abstract
Objective:To explore the application effect of SBAR communication mode in perioperative visits of cesarean section patients.Methods:Eighty-six cases of cesarean section women treated too our haspital from January 2020 to December 2022 were slectd as study objects,and according to different communication modes,they were divide into an observation group(n =48,SBAR communication mode)and(n =38,conventional communication mode).The psychological status[self-rating anxiety scale(SAS)]and[self-rating depression scale(SDS)],cognition of surgical information and incidence of complications were compared between the two groups.Results:After intervention,the SAS and SDS scores of the observation group were significantly lower than those of the control group,and the differences were statistically significant(P＜0.05).After intervention,the cognitive information level of the observation group was higher than that of the control group,and the difference was statistically significant(P＜0.05).The incidence of complications in the observation group(6.25%)was lower than that in the control group(26.31%),and the differences were statistically significant(P＜0.05).Conclusion:Perioperative visits to cesarean section patients using the SBAR communication mode can effectively reduce anxiety and depression,improve the cognitive level of patients,and reduce the occurrence of complications in patients.
关键词
剖宫产/围手术期/访视/沟通/效果Key words
Cesarean section/Perioperative period/Visits/Communication/Effect引用本文复制引用
出版年
2024
NETL
NSTL
万方数据