Asynchronous Distance Learning Performance and Knowledge Retention of the National Institutes of Health Stroke Scale Among Health Care Professionals Using Video or e-Learning: Web-based Randomized Controlled Trial.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Avinash Koka, Loric Stuby, Emmanuel Carrera, Ahmed Gabr, Margaret O'Connor, Nathalie Missilier Peruzzo, Olivier Waeterloot, Friedrich Medlin, Fabien Rigolet, Thomas Schmutz, Patrik Michel, Thibaut Desmettre, Mélanie Suppan, Laurent Suppan
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引用次数: 0

Abstract

Background: Stroke treatment has significantly improved over the last decades, but the complexity of stroke cases requires specialized care through dedicated teams with specific knowledge and training. The National Institutes of Health Stroke Scale (NIHSS), widely used to assess neurological deficits and make treatment decisions, is reliable but requires specific training and certification. The traditional didactic training method, based on a video, may not adequately address certain NIHSS intricacies nor engage health care professionals (HCPs) in continuous learning, leading to suboptimal proficiency. In the context of time-constrained clinical settings, highly interactive e-learning could be a promising alternative for NIHSS knowledge acquisition and retention.

Objective: This study aimed to assess the efficacy of a highly interactive e-learning module compared with a traditional didactic video in improving NIHSS knowledge among previously trained HCPs. Furthermore, its impact on knowledge retention was also assessed.

Methods: A prospective, multicentric, triple-blind, and web-based randomized controlled trial was conducted in 3 Swiss university hospitals, involving HCPs previously trained in NIHSS. Invitations were sent through email, and participants were randomized to either the e-learning or traditional didactic video group through a fully automated process upon self-registration on the website. A 50-question quiz was administered before and after exposure to the training method, and scores were compared to assess knowledge acquisition. The quiz was repeated after 1 month to evaluate retention. Subjective assessments of learning methods that is, user satisfaction, probability of recommendation, perceived difficulty, and perception of duration, were also collected through a Likert-scale questionnaire. A sample size of 72 participants were deemed necessary to have an 80% chance of detecting a difference of 2 points in the postcourse quiz between groups at the 5% significance level.

Results: Invitations to participate were sent through email to an estimated 325 HCPs. 174 HCPs enrolled in the study, of which 97 completed the study course. Both learning methods significantly improved NIHSS knowledge, with an improvement of 3.2 (range 2.0-4.3) points in the e-learning group and of 2.1 (1.2-3.1) points in the video group. However, the e-learning group performed better, with higher scores in knowledge acquisition (median score 39.0, IQR 36.0-41.0 vs 37, IQR 34.0-39.0; P=.03) and in knowledge retention (mean score 38.2, 95% CI 36.7-39.7 vs 35.8, 95% CI 34.8-36.8; P=.007). Participants in the e-learning group were more likely to recommend the learning method (77% vs 49%, P=.02), while no significant difference was found for satisfaction (P=.17), perceived duration (P=.17), and difficulty (P=.32).

Conclusions: A highly interactive e-learning module was found to be an effective asynchronous method for NIHSS knowledge acquisition and retention in previously NIHSS-trained HCPs, and may now be considered for inclusion in NIHSS training programs for HCPs.

International registered report identifier (irrid): RR2-10.3390/healthcare9111460.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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