Department of Health Science and Technology, Aalborg University, Denmark.
IRCCS ICS Maugeri, Pavia, Italy.
J Diabetes Sci Technol. 2022 Mar;16(2):454-459. doi: 10.1177/1932296821991127. Epub 2021 Feb 15.
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.
目前,丹麦的伤口护理护士缺乏基于证据的学习系统,无法增加他们在伤口护理方面的知识和证据水平,这意味着他们需要通过经验和同行培训或向有经验的同事请教来了解糖尿病足溃疡。基于案例推理 (CBR) 的交互式循证学习系统有潜力提高伤口护理护士的糖尿病足溃疡知识和证据水平。
一个基于案例推理的交互式、循证算法操作学习系统的原型通过计算相似度得分 (DS) 来定量衡量新病例与病例库中存储的病例之间的相似性,涉及六个变量:坏死、伤口大小、肉芽组织、纤维蛋白、干燥皮肤和年龄。基于 DS,通过匹配具有最佳预测能力的六个变量并根据每个变量对预测的贡献来加权其影响来选择病例。对病例进行排名,并在系统中可视化六个 DS 值最低的病例。
传统教育,即书籍和讲座等循证学习材料,可能不如同行培训更具激励性和教学性,而同行培训通常较少基于证据。本研究中提出的 CBR 交互式学习系统可能可以弥补这两种方法之间的差距。向伤口护理护士展示个别变量如何影响结果可能有助于他们更深入地了解病理生理过程。
以糖尿病足溃疡和相关治疗为中心的基于案例推理的交互式、循证学习系统原型弥补了传统循证学习与更具激励性和交互性学习方法之间的差距。