4.5 Article

The effect of a scalable online training module for shared decision making based on flawed video examples-a randomized controlled trial

Journal

PATIENT EDUCATION AND COUNSELING
Volume 104, Issue 7, Pages 1568-1574

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.pec.2020.11.033

Keywords

SDM; Shared decision making; Flawed examples; Online training; Methodology

Funding

  1. German Innovations Fund, Berlin (Innovationsfonds) [01NVF17009]
  2. Faculty of Medicine, Christian Albrecht University of Kiel, Germany

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Shared Decision Making (SDM) is considered the gold standard of medical decision-making, and a new online training method based on flawed/flawless video examples and additional educational concepts has been proven effective in increasing SDM-related knowledge and judging ability. Feedback regarding the intervention was positive, indicating the success of the training approach.
Objective: Shared Decision Making (SDM) is considered the gold standard of medical decision making as it provides a method to systematically integrate the patient's preferences, evidence-based medicine and the experience of health care professionals. Therefore, evidence-based training methods for a broad implementation into healthcare are needed. A new online training was designed, based on the concept of flawed/flawless video examples and additional educational concepts. Methods: In a single-blind randomized-controlled trial, medical students were randomly assigned to intervention group receiving the online training (n = 82) or waiting control group (n = 105). SDM-related knowledge and the ability to judge distinct levels of SDM were compared between both groups. Additionally, feedback regarding the intervention was collected. Results: SDM-related knowledge and judging ability increased significantly in the intervention group compared to controls (SDM knowledge: mean difference: 12 %; 95 % CI: 7.3-18.5; p < 0.001; SDM judging ability (inter-rater concordance displayed by weighted t): mean difference: 0.07; 95 %CI: 0.03-0.11; p = 0.001). Feedback was positive. Conclusion: The online training with its distinctive methodology prove effective. As it shares the theoretical and didactical background with an already existing face-to-face training, both approaches may also be used complementarily. Practice Implications: SDM can be trained effectively and efficiently with this easily scalable online training. (c) 2020 Elsevier B.V. All rights reserved.

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