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作 者:欧阳红 娄晟 刘炎鑫 王辉 张一粟 段晓侠 OUYANG Hong;LOU Cheng;LIU Yanxin;WANG Hui;ZHANG Yisu;DUAN Xiaoxia(Department of Education,The Second Affiliated Hospital of Bengbu Medical University,Bengbu 233040,Anhui Province,China;Graduate School,Bengbu Medical University,Bengbu 233030,Anhui Province,China)
机构地区:[1]蚌埠医科大学第二附属医院教学科,安徽蚌埠233040 [2]蚌埠医科大学研究生院,安徽蚌埠233030
出 处:《军事护理》2025年第3期36-39,共4页MILITARY NURSING
基 金:安徽省教育厅重点研究项目(SK2019A0191);安徽省护理学会科研项目(AHHLb202107);蚌埠医科大学研究生科研创新计划资助项目(Byycxz23013)。
摘 要:目的构建“互联网+护理服务”质量敏感指标体系,为“互联网+护理服务”质量管理提供量化的监测工具。方法通过文献研究及半结构式访谈拟定指标条目池,以Donabedian理论为框架初步构建指标体系,结合德尔菲专家函询法及层次分析法确立“互联网+护理服务”质量敏感指标体系及各级指标权重。结果2轮专家函询问卷的有效回收率分别为100%、94.12%,专家权威系数分别为0.86、0.87,Kendall系数分别为0.151、0.116(均P<0.001)。最终形成的指标体系包含3个一级指标、9个二级指标和21个三级指标。结论构建的“互联网+护理服务”质量敏感指标体系涵盖多方面内容,可为“互联网+护理服务”质量管理提供参考。Objective To construct a system of quality-sensitive indicators for“Internet+Nursing Services”,so as to provide quantitative monitoring tools for the quality management of“Internet+Nursing Services”.Methods Through literature research and semi-structured interviews,an indicator item pool was formulated,which was initially constructed the based on the framework of Donabedian theory.The Delphi expert correspondence method and hierarchical analysis method were combined to establish the quality-sensitive indicator system of“Internet+Nursing Service”and the weights of the indicators at all levels.Results The effective recovery rates of the 2 rounds of expert correspondence questionnaires were 100%and 94.12%,the expert authority coefficients were 0.86 and 0.87,and the Kendall coefficients were 0.151 and 0.116,respectively(all P<0.001).The finalized indicator system contains 3 primary indicators,9 secondary indicators and 21 tertiary indicators.Conclusions The constructed quality-sensitive indicator system of“Internet+Nursing Service”covers various aspects and can provide reference for the quality management of“Internet+Nursing Service”.
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