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Psychometric Validation of the Digital Competence Questionnaire for Nurses
Christoph Golz1, Sabine Hahn1, Sandra M G Zwakhalen2
1School of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.
A new Digital Competence Questionnaire (DCQ) for clinical practice nurses is valid and reliable. This tool helps assess nurses' digital skills and attitudes, crucial for modern healthcare.
Area of Science:
- Nursing Informatics
- Health Professions Education
- Digital Health
Background:
- Limited tools exist to measure digital competence among clinical practice nurses.
- Digital competence is essential for nurses in contemporary healthcare settings.
Purpose of the Study:
- To evaluate the structural validity and internal consistency of the Digital Competence Questionnaire (DCQ) for Clinical Practice Nurses.
- To provide a psychometrically sound instrument for assessing nurses' digital skills.
Main Methods:
- A cross-sectional study involving 185 English-speaking clinical practice nurses.
- Exploratory factor analysis with 'oblimin' rotation was used for structural validity.
- Internal consistency was assessed using Cronbach's alpha.
Main Results:
- The final Digital Competence Questionnaire (DCQ) consists of 12 items across two factors: knowledge & skills and attitude.
- The two factors explained 57% of the total variance.
- Internal consistency for the factors was satisfactory (0.81 and 0.91).
Conclusions:
- The DCQ for clinical practice nurses demonstrates validity and satisfactory internal consistency.
- The questionnaire can be utilized by researchers and nurse managers to evaluate digital competence.
- Further psychometric validation is recommended to confirm goodness of fit and reliability.
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