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The Mobilise-D consortium [23] has made significant strides to change this. Mobilise-D has used a rigorous and comprehensive validation process, including a multisensor wearable setup for real-world analysis [24] and involving 1 healthy and 5 patient cohorts performing an extensive technical validation protocol [22,25].
JMIR Form Res 2025;9:e67792
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Clinical effectiveness was quantified by calculating the change in anxiety symptoms, measured using the GAD-7, from baseline to final score, and estimating a within-participant effect size (Cohen d). A negative mean change denotes a reduction in GAD-7 total scores. Absolute Cohen d values are presented. The threshold for a clinically meaningful reduction in symptoms was defined as a change greater than the reliable change index of the GAD-7 scale (minimum of a 4-point reduction) [54].
J Med Internet Res 2025;27:e69351
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Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review
J Med Internet Res 2025;27:e72892
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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients
It was designed in collaboration with academic researchers of Mobilise-D and the members of the Mobilise-D Public and Patient Advisory Group (PPAG) [29].
In total, 3 rounds were developed to explore the impact of mobility and symptoms and how DMOs can be visualized. A Delphi methodology was decided upon as it allows us to reach a consensus of patient preferences with an iterative, anonymous, multistage approach with controlled feedback of comments and scores on a 5-point Likert scale [30,31].
JMIR Form Res 2025;9:e68782
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Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review
J Med Internet Res 2025;27:e63360
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