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

Abstract

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.

Keywords: Flawed examples; Methodology; Online training; SDM; Shared decision making.