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Development and psychometric testing of the Perceived Postoperative Care Competency Scale for Nursing Students: a
Perihan Şimşek1, Gül Çakir Özmen2, Melek Ertürk Yavuz3
1Department of Emergency Aid and Disaster Management, Faculty of Applied Science, Trabzon University, Trabzon, Türkiye.
Journal of Korean Academy of Nursing
|March 9, 2026
Summary
A new scale effectively assesses nursing students' perceived competence in postoperative care. This tool, validated with strong psychometric properties, aids in ensuring graduates possess essential surgical recovery skills.
Area of Science:
- Nursing Education
- Healthcare Quality Improvement
- Psychometric Validation
Background:
- Competency-based nursing education is crucial for high-quality postoperative care.
- Assessing nursing students' competence is integral to their educational process.
- A validated tool is needed to evaluate perceived competence in postoperative care.
Purpose of the Study:
- To develop and psychometrically test a tool for evaluating nursing students' perceived competence in postoperative care.
Main Methods:
- A cross-sectional methodological study followed established scale development steps.
- Exploratory and confirmatory factor analyses were used to examine the scale's structure with 645 nursing students.
- Reliability was assessed using Cronbach's alpha and test-retest measurements.
Main Results:
- The developed scale comprises 28 items across five factors: legal/ethical, postoperative care, communication, leadership, and professional development.
- The scale demonstrated excellent psychometric properties, with Cronbach's alpha of .97 and high test-retest stability (ICC=.88).
- Confirmatory factor analysis confirmed a robust five-factor structure suitable for assessing nursing competence.
Conclusions:
- The validated scale offers a reliable method for assessing perceived postoperative nursing competence in students.
- This assessment can help ensure nursing graduates are equipped with essential skills for effective postoperative patient care.
- Further research with diverse samples is recommended to enhance the scale's generalizability.
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