{"title":"Establishing Nursing-Sensitive Quality Indicators for the Central Sterile Supply Department: A Modified Delphi Study.","authors":"Ruixue Hu, Yanhua Chen, Juan Hu, Liangying Yi","doi":"10.1097/QMH.0000000000000418","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>Evidence-based nursing-sensitive quality indicators for the CSSD were established.</p>","PeriodicalId":20986,"journal":{"name":"Quality Management in Health Care","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Management in Health Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/QMH.0000000000000418","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Quality Management in Health Care (QMHC) is a peer-reviewed journal that provides a forum for our readers to explore the theoretical, technical, and strategic elements of health care quality management. The journal''s primary focus is on organizational structure and processes as these affect the quality of care and patient outcomes. In particular, it:
-Builds knowledge about the application of statistical tools, control charts, benchmarking, and other devices used in the ongoing monitoring and evaluation of care and of patient outcomes;
-Encourages research in and evaluation of the results of various organizational strategies designed to bring about quantifiable improvements in patient outcomes;
-Fosters the application of quality management science to patient care processes and clinical decision-making;
-Fosters cooperation and communication among health care providers, payers and regulators in their efforts to improve the quality of patient outcomes;
-Explores links among the various clinical, technical, administrative, and managerial disciplines involved in patient care, as well as the role and responsibilities of organizational governance in ongoing quality management.