Construction of sensitive quality indicators for cardiovascular nursing based on RAND-UCLA expert consensus method
10.3760/cma.j.cn115682-20221221-06061
- VernacularTitle:基于RAND-UCLA专家共识法的心血管专科护理敏感质量指标的构建
- Author:
Zhouzhou LIU
1
;
Lin YAN
;
Geng LIU
;
Yu SUN
;
Qi DAI
;
Yonggang LI
;
Jie WU
;
Qingyin LI
;
Chen ZHANG
Author Information
1. 中国医学科学院阜外医院护理部，北京 100037
- Keywords:
Expert consensus method;
Cardiovascular;
Nursing care;
Sensitive quality index;
Evidence-based
- From:
Chinese Journal of Modern Nursing
2023;29(25):3428-3434
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish the sensitive quality indicators for cardiovascular nursing based on the RAND Corporation University of California, Los Angeles (RAND-UCLA) expert consensus method, so as to lay the foundation for scientific and standardized quality management of cardiovascular nursing.Methods:Relevant literature was searched on China National Knowledge Infrastructure, WanFang Data, VIP, China Biomedical Literature Database, Cochrane Library, PubMed, EMbase and CINAHL. The search period was from database establishment to August 31, 2021. We used the Johns Hopkins evidence-based nursing practice model for evidence-based analysis and summary, and referred to documents on cardiovascular nursing quality indicators to form an indicator pool. From May 23 to July 12, 2022, 17 experts were selected to apply the RAND-UCLA expert consensus method to inquire about the indicators.Results:The effective response rates of the first and third rounds of the questionnaire were both 100.00% (17/17) , and the authority coefficients of the experts were 0.87 and 0.88, respectively. Among the 18 indicators in the third round of expert consultation, the consistency degree of importance and operability of all indicators was less than 1.00. Finally, 18 sensitive quality indicators for cardiovascular nursing were established.Conclusions:The consistency and coordination of experts in this study are good, and the nursing sensitive indicators formed have scientific characteristics, cardiovascular specialty characteristics, and good operability.
