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Updated: May 1, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 28, 2010
A cluster analysis of operating room nurses' profiles based on their clinical decision-making for pressure injury
Zhen-Shan Guo1, Xiu-Mei Wang1, Hai-Long Fan1
1Department of Central Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Objective:
To comprehend the potential categories of operating room nurses based on their clinical decision-making capability for pressure injuries and to analyze the characteristics of nurses falling under the various categories.
Methods:
A cross-sectional survey was conducted from June to August 2022 using convenient sampling, with 469 operating room nurses from 12 tertiary hospitals in Shanxi, Guangxi, Sichuan, Guizhou, Yunnan, Xinjiang, and Chongqing as the participants. The General Information Questionnaire, Clinical Decision-Making in Nursing Scale, Chinese Critical Thinking Disposition Inventory, Pressure Injury Management Self-Efficacy Scale, and Transformational Leadership Questionnaire were used in the survey. Clinical decisions taken by nurses in case of pressure injuries were analyzed using profiles, and the influencing factors of different categories were analyzed using multivariate logistic regression.
Results:
The clinical decision-making of operating room nurses for pressure injuries can be divided into 3 profile groups: poor clinical decision-making group (40.3%), moderate clinical decision-making group (26.0%), and good clinical decision-making group (33.7%). The influencing factors of clinical decision-making capability for pressure injuries in operating room nurses were critical thinking ability, self-efficacy, transformational leadership, and educational background (all p < 0.05).
Conclusion:
We developed three clinical decision-making profiles of operating room nurses for pressure injuries. Nursing managers can implement targeted intervention strategies based on the characteristics of individual nurses to improve clinical decision-making.
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