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Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study

Petra Hanson, Farah Abdelhameed, Mohammed Sahir, Nick Parsons, Arjun Panesar, Michaela de la Fosse, Charlotte Summers, Amit Kaura, Harpal Randeva, Vinod Menon, Thomas M Barber

J Med Internet Res 2025;27:e62661

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Frailty, Fitness, and Quality of Life Outcomes of a Healthy and Productive Aging Program (GrandMove) for Older Adults With Frailty or Prefrailty: Cluster Randomized Controlled Trial

Jennifer Yee Man Tang, Hao Luo, Michael Tse, Joseph Kwan, Angela Yee Man Leung, Teresa Bik-kwan Tsien Wong, Terry Yat Sang Lum, Gloria Hoi Yan Wong

JMIR Aging 2025;8:e65636

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Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

Calissa J Leslie-Miller, Shellen R Goltz, Pamela L Barrios, Christopher C Cushing, Teena Badshah, Corey T Ungaro, Shankang Qu, Yulia Berezhnaya, Tristin D Brisbois

JMIR Form Res 2025;9:e63471

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Developing the MyCancerGene Digital Health Portal to Improve Patients’ Understanding of Germline Cancer Genetic Test Results: Development, User, and Usability Testing Study

Patient interest in a genetic health portal by genetic test results among patients who had completed genetic testing in the COGENTa study (N=307). a COGENT: Communication of Genetic Test Results by Telephone. b A range is included as some participants did not answer all items. c VUS: variant of uncertain significance. d“Now that you have received your results, do you think it would be helpful to have access to a secure, password protected electronic Genetic Health Portal (similar to other health portals you might

Phillip Trieu, Dominique Fetzer, Briana McLeod, Kathryn Schweickert, Lauren Gutstein, Brian Egleston, Susan Domchek, Linda Fleisher, Lynne Wagner, Kuang-Yi Wen, Cara Cacioppo, Jessica E Ebrahimzadeh, Dana Falcone, Claire Langer, Elisabeth Wood, Kelsey Karpink, Shelby Posen, Enida Selmani, Angela R Bradbury

JMIR Form Res 2025;9:e56282

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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