摘要
目的:构建妇科肿瘤病人加速康复评价指标体系。方法:通过查阅文献、专家函询构建妇科肿瘤病人加速康复评价指标体系,采用优序图法和层次分析法确定各指标权重。结果:两轮专家函询问卷有效回收率均为100%,专家权威系数分别为0.936和0.950,第2轮专家函询肯德尔和谐系数为0.556~0.764(均P<0.001),二级指标变异系数为0.000~0.178,三级指标变异系数为0.000~0.193。最终形成的妇科肿瘤病人加速康复评价指标体系包括3项一级指标、9项二级指标、52项三级指标。结论:构建妇科肿瘤病人加速康复评价指标体系具有科学性、实用性,可规范妇科肿瘤手术加速康复外科的实施,保障病人安全,为妇科肿瘤病人围术期加速康复质量评价提供科学依据。
Objective:To construct an evaluation index system for enhanced recovery of patients after gynecological tumor surgery.Methods:Evaluation index system for enhanced recovery of patients after gynecological tumor surgery was constructed through literature review and expert inquiry.And the weight of each index was determined by sampling were precedence chart method and analytic hierarchy process.Results:Two rounds of expert inquiry were conducted,with a questionnaire response rate of 100%,expert authority coefficients of 0.936 and 0.950,respectively.In the second round of expert inquiry,the Kendall harmony coefficient ranged from 0.556 to 0.764(all P<0.001),the coefficient of variation for second-level indexes ranged from 0.000 to 0.178,and the coefficient of variation for third-level indexes ranged from 0.000 to 0.193.The final evaluation index system for enhanced recovery of patients after gynecological tumor surgery included 3 firs-level indexes,9 second-level indexes and 52 third-level indexes.Conclusions:The evaluation index system for enhanced recovery of patients after gynecological tumor surgery construct in this study is scientific and reliable,which can standardize the implementation of enhanced recovery after surgery,ensure patient safety,and provide scientific basis for the quality evaluation of perioperative enhanced recovery of patients after gynecological tumor surgery.
作者
王霄霄
随丽丽
刘秀焕
察海梅
许雪云
徐肖
WANG Xiaoxiao;SUI Lili;LIU Xiuhuan;CHA Haimei;XU Xueyun;XU Xiao(Affiliated Hospital of Jining Medical University,Shandong 272000 China)
出处
《护理研究》
北大核心
2024年第6期998-1003,共6页
Chinese Nursing Research
关键词
妇科
肿瘤
加速康复外科
评价指标
德尔菲法
护理
gynaecology
tumor
enhanced recovery after surgery
evaluation index
Delphi method
nursing