Suppr超能文献

建立中央消毒供应室护理敏感质量指标:一项改良德尔菲研究。

Establishing Nursing-Sensitive Quality Indicators for the Central Sterile Supply Department: A Modified Delphi Study.

作者信息

Hu Ruixue, Chen Yanhua, Hu Juan, Yi Liangying

机构信息

Author Affiliations : Department of Sterile processing Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China; and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.

出版信息

Qual Manag Health Care. 2024;33(4):253-260. doi: 10.1097/QMH.0000000000000418. Epub 2024 Sep 30.

Abstract

BACKGROUND AND OBJECTIVES

Previous studies have shown that improving quality management in the central sterile supply department (CSSD) is an effective measure to control and decrease hospital-acquired infections. This study aimed to establish nursing-sensitive quality indicators for CSSD nursing in China.

METHODS

We drafted nursing-sensitive quality indicators on the basis of the Structure-Process-Outcome model, and then conducted 2 rounds of consultation with experts using a modified Delphi method to determine the indicators and scientific methods of measurement.

RESULTS

We identified five CSSD nursing-sensitive quality indicators. Recovery rates of the 2 rounds of valid questionnaires were 100%. Expert authority coefficients were 0.810 and 0.902, respectively. Kendall's coefficients of concordance were 0.168 and 0.210, respectively ( P < .05).

CONCLUSION

Evidence-based nursing-sensitive quality indicators for the CSSD were established.

摘要

背景与目的

既往研究表明,改善中心供应室(CSSD)的质量管理是控制和减少医院感染的有效措施。本研究旨在建立我国CSSD护理的护理敏感质量指标。

方法

我们基于结构-过程-结果模型起草护理敏感质量指标,然后采用改良德尔菲法与专家进行两轮咨询,以确定指标及其科学测量方法。

结果

我们确定了五项CSSD护理敏感质量指标。两轮有效问卷的回收率均为100%。专家权威系数分别为0.810和0.902。肯德尔和谐系数分别为0.168和0.210(P <.05)。

结论

建立了基于证据的CSSD护理敏感质量指标。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验