Using Case-Based Reasoning in a Learning System: A Prototype of a Pedagogical Nurse Tool for Evidence-Based Diabetic Foot Ulcer Care.

case-based reasoning diabetic foot ulcers dissimilarity score education evidence interactive learning system knowledge level variables wound care nurses

Journal

Journal of diabetes science and technology
ISSN: 1932-2968
Titre abrégé: J Diabetes Sci Technol
Pays: United States
ID NLM: 101306166

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 16 2 2021
medline: 23 3 2022
entrez: 15 2 2021
Statut: ppublish

Résumé

Currently, evidence-based learning systems to increase knowledge and evidence level of wound care are unavailable to wound care nurses in Denmark, which means that they need to learn about diabetic foot ulcers from experience and peer-to-peer training, or by asking experienced colleagues. Interactive evidence-based learning systems built on case-based reasoning (CBR) have the potential to increase wound care nurses' diabetic foot ulcer knowledge and evidence levels. A prototype of a CBR-interactive, evidence-based algorithm-operated learning system calculates a dissimilarity score (DS) that gives a quantitative measure of similarity between a new case and cases stored in a case base in relation to six variables: necrosis, wound size, granulation, fibrin, dry skin, and age. Based on the DS, cases are selected by matching the six variables with the best predictive power and by weighing the impact of each variable according to its contribution to the prediction. The cases are ranked, and the six cases with the lowest DS are visualized in the system. Conventional education, that is, evidence-based learning material such as books and lectures, may be less motivating and pedagogical than peer-to-peer training, which is, however, often less evidence-based. The CBR interactive learning systems presented in this study may bridge the two approaches. Showing wound care nurses how individual variables affect outcomes may help them achieve greater insights into pathophysiological processes. A prototype of a CBR-interactive, evidence-based learning system that is centered on diabetic foot ulcers and related treatments bridges the gap between traditional evidence-based learning and more motivating and interactive learning approaches.

Sections du résumé

BACKGROUND BACKGROUND
Currently, evidence-based learning systems to increase knowledge and evidence level of wound care are unavailable to wound care nurses in Denmark, which means that they need to learn about diabetic foot ulcers from experience and peer-to-peer training, or by asking experienced colleagues. Interactive evidence-based learning systems built on case-based reasoning (CBR) have the potential to increase wound care nurses' diabetic foot ulcer knowledge and evidence levels.
METHOD METHODS
A prototype of a CBR-interactive, evidence-based algorithm-operated learning system calculates a dissimilarity score (DS) that gives a quantitative measure of similarity between a new case and cases stored in a case base in relation to six variables: necrosis, wound size, granulation, fibrin, dry skin, and age. Based on the DS, cases are selected by matching the six variables with the best predictive power and by weighing the impact of each variable according to its contribution to the prediction. The cases are ranked, and the six cases with the lowest DS are visualized in the system.
RESULTS RESULTS
Conventional education, that is, evidence-based learning material such as books and lectures, may be less motivating and pedagogical than peer-to-peer training, which is, however, often less evidence-based. The CBR interactive learning systems presented in this study may bridge the two approaches. Showing wound care nurses how individual variables affect outcomes may help them achieve greater insights into pathophysiological processes.
CONCLUSION CONCLUSIONS
A prototype of a CBR-interactive, evidence-based learning system that is centered on diabetic foot ulcers and related treatments bridges the gap between traditional evidence-based learning and more motivating and interactive learning approaches.

Identifiants

pubmed: 33583205
doi: 10.1177/1932296821991127
pmc: PMC8861795
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

454-459

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Auteurs

Clara Bender (C)

Department of Health Science and Technology, Aalborg University, Denmark.

Simon Lebech Cichosz (SL)

Department of Health Science and Technology, Aalborg University, Denmark.

Alberto Malovini (A)

IRCCS ICS Maugeri, Pavia, Italy.

Riccardo Bellazzi (R)

IRCCS ICS Maugeri, Pavia, Italy.
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy.

Louise Pape-Haugaard (L)

Department of Health Science and Technology, Aalborg University, Denmark.

Ole Hejlesen (O)

Department of Health Science and Technology, Aalborg University, Denmark.

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Classifications MeSH