ArticleResearch square2026
Learning Beyond the Clinic: Can Point of Choice Visual Feedback Prompts Elicit Motor Behavior Changes in Persons with Multiple Sclerosis?
Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Background: Falls are common in persons with multiple sclerosis (PwMS), and their consequences further undermine their quality of life. Current fall prevention interventions fail to address real-time stability challenges that may occur during cognitively complex daily activities. This need may be fulfilled by means of just-in-time interventions that leverage prompts delivered via a mobile app, having the aim of producing beneficial targeted biomechanical changes. Methods: Fourteen ambulatory PwMS completed multiple Timed Up-and-Go tests under cognitive load across two different visits. Two visual feedback prompts targeting trunk flexion during sit-to-stand transitions (STS-TF) and stance width (SW) during gait were delivered terminally via ab Results: Prompts were successfully able to systematically reduce STS-TF by 7.1° (p < 0.001, d = - 0.483) and to increase SW by 8.1 mm (p = 0.021, d = 0.259). The majority of participants reported willingness to use the app with and without physician prescription (95% and 68%, respectively). Conclusion: This study demonstrated for the first time that PwMS can produce targeted biomechanical adaptations in response to point-of-choice visual feedback prompts delivered by a mobile app, supporting that just-in-time mobile interventions as a proactive fall prevention strategy.
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Registered trials
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