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Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

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].

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse

Power analyses were focused on the ability to detect a medium effect size (Cohen d=0.50) at postcondition in the context of a 2-level random coefficients HLM. Given that the primary contrast of interest would be that between CBI and the other study conditions, calculations were focused on detecting significant differences between two active conditions. Where study parameters in this 2-level model were not yet known, we used standard values and varied parameters to approximate an effective sample size.

Noah Robinson, Francisco N Ramos, Steven D Hollon, Gloria T Han, Iony D Ezawa

JMIR Res Protoc 2025;14:e65970

Virtual Versus In-Person Intensive Outpatient Treatment for Eating Disorders During the COVID-19 Pandemic in United States–Based Treatment Facilities: Naturalistic Study

Virtual Versus In-Person Intensive Outpatient Treatment for Eating Disorders During the COVID-19 Pandemic in United States–Based Treatment Facilities: Naturalistic Study

Cohen d effect sizes for all effects irrespective of statistical significance are reported and interpreted as small (d≥0.3), medium (d≥0.5), and large (d≥0.8) [33]. Odds ratios and 95% CIs are presented for logistic regression results.

Dan V Blalock, Philip S Mehler, Deborah M Michel, Alan Duffy, Daniel Le Grange, Anne M O'Melia, Renee D Rienecke

J Med Internet Res 2025;27:e66465

Neuromuscular Electrical Stimulation to Maximize Hip Abductor Strength and Reduce Fall Risk in Older Veterans: Protocol for a Randomized Controlled Trial

Neuromuscular Electrical Stimulation to Maximize Hip Abductor Strength and Reduce Fall Risk in Older Veterans: Protocol for a Randomized Controlled Trial

Before accepting the results of the model, we will make sure the results conform to the assumptions of the model (eg, reviewing residual plots), and we will make sure that no observation has undue influence on the estimates produced by the model (eg, Cook D). We will conduct exploratory analyses to examine relationships among variables and their changes in response to the intervention.

Ben Friedman, Brock A Beamer, Jeffrey Beans, Vicki Gray, Gad Alon, Alice Ryan, Leslie I Katzel, John D Sorkin, Odessa Addison

JMIR Res Protoc 2025;14:e68082