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A Protocol for Constructing a Rat Wound Model of Type 1 Diabetes
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Validity of the Diabetic Wound Assessment Learning Tool.
Omar Selim1,2, Andrew D Dueck3,4, Kulamakan M Kulasegaram5
1Division of Vascular and Endovascular Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
The Clinical Teacher
|January 13, 2025
Summary
The Diabetic Wound Assessment Learning Tool (DiWALT) effectively assesses novice clinicians in diabetic wound care. While it distinguishes novices from others, further research is needed for intermediate and expert levels.
Area of Science:
- Medical Education
- Wound Care
- Psychometrics
Background:
- The Diabetic Wound Assessment Learning Tool (DiWALT) aids in assessing clinician competence.
- Previous studies lacked a broad assessment of DiWALT's psychometric properties in diverse populations.
Purpose of the Study:
- To evaluate the psychometric properties of the DiWALT in a larger, more heterogeneous group of participants.
- To gather validity evidence for the DiWALT's application in diabetic wound management training.
Main Methods:
- 74 clinicians participated in two simulated wound care scenarios.
- Five raters assessed participants using the DiWALT.
- Generalizability theory and ANOVA were used to analyze validity evidence and performance scores across experience levels.
Main Results:
- The DiWALT significantly differentiated novice clinicians from intermediate and expert groups (p < 0.01).
- No significant differentiation was found between intermediate and expert clinicians (p = 0.34).
- High reliability was indicated by a generalizability coefficient of 0.87 and a phi coefficient of 0.87.
Conclusions:
- The DiWALT demonstrates validity for assessing novice clinicians' competence in initial diabetic wound management during simulations.
- Further investigation is required to broaden the understanding of DiWALT's generalizability and inferential validity.
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