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作 者:侯媛 陈晓霞 王柄璋 路红梅 赵亚静 HOU Yuan;CHEN Xiaoxia;WANG Bingzhang;LU Hongmei;ZHAO Yajing(Yuncheng Central Hospital Affiliated to Shanxi Medical University,Shanxi 044000 China)
机构地区:[1]山西医科大学附属运城市中心医院,山西044000
出 处:《护理研究》2024年第10期1693-1702,共10页Chinese Nursing Research
基 金:山西省运城市中心医院院级课题,编号:YJ2022152。
摘 要:目的:构建住院病人多重耐药菌感染控制管理风险预警指标体系。方法:在前期研究的基础上,以风险认知理论和风险预警理论为指导,以结构-过程-结果三维模型为架构,采用文献阅读法、半结构化访谈法拟订住院病人多重耐药菌感染控制管理风险预警指标体系(草案),采用德尔菲专家函询法进一步完善住院病人多重耐药菌感染控制管理风险预警指标体系。结果:2轮专家函询问卷有效回收率均为100%,专家权威系数为0.950,专家函询的变异系数为0.025~0.227和0.028~0.224,肯德尔和谐系数为0.434和0.473(均P<0.001)。最终构建的住院病人多重耐药菌感染控制管理风险预警指标体系包括3项一级指标、8项二级指标、64项三级指标。结论:本研究构建的住院病人多重耐药菌感染控制管理风险预警指标体系具有科学性、可靠性、目的性和可量化性。Objective:To construct risk warning index system for multidrug resistance organisms infection control and management in hospitalized patients.Methods:Based on previous research,guided by risk cognition theory and risk warning theory,with three-dimensional model of structure,process,result as the framework,risk warning index system for multidrug resistance organisms infection control and management in hospitalized patients(draft)was developed by literature review and semi-structured interview methods.Then,risk warning index system for multidrug resistance organisms infection control and management in hospitalized patients was further improved by Delphi expert inquiry method.Results:The effective response rates of the 2 rounds of expert inquiry questionnaires were both 100%,expert authority coefficients was 0.950,coefficient of variation of expert inquiry were from 0.025 to 0.227 and from 0.028 to 0.224,and Kendall harmony coefficients were 0.434 and 0.473(both P<0.001).The final constructed risk warning index system for multidrug resistance organisms infection control and management in hospitalized patients included 3 first-level indicators,8 second-level indicators,and 64 third-level indicators.Conclusions:The risk warning index system for multidrug resistance organisms infection control and management in hospitalized patients constructed in this study is scientific,reliable,purposeful and quantifiable.
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