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JMIR Formative Research|January 26, 2025
Insights From Diverse Perspectives on Social Media Messages to Inform Young Adults With Cancer About Clinical Trials: Focus Group StudyMelissa P Beauchemin, Desiree Walker, Allison Rosen, et al.JMIR Formative Research|January 26, 2025
Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group StudyPaulina Bondaronek, Jingfeng Li, Henry W W PottsJMIR Formative Research|January 20, 2025
Development of an eHealth Intervention Including Self-Management for Reducing Sedentary Time in the Transition to Retirement: Participatory Design StudyLisa Hultman, Caroline Eklund, Petra von Heideken Wågert, et al.JMIR Formative Research|January 20, 2025
Developing a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation StudyPooja Guhan, Naman Awasthi, Kathryn McDonald, et al.JMIR Formative Research|January 20, 2025
Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-BeingXingwei Yang, Guang LiJMIR Formative Research|January 30, 2025
Co-Designing a Digital Brief Intervention to Reduce the Risk of Prescription Opioid-Related Harm Among People With Chronic Noncancer Pain: Qualitative Analysis of Patient Lived ExperiencesRachel A Elphinston, Sue Pager, Kelly Brown, et al.JMIR Formative Research|January 29, 2025
Technological Adjuncts to Streamline Patient Recruitment, Informed Consent, and Data Management Processes in Clinical Research: Observational StudyJodie Koh, Stacey Caron, Amber N Watters, et al.JMIR Formative Research|January 30, 2025
Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case StudyNancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, et al.JMIR Formative Research|February 4, 2025
Addressing the "Black Hole" of Low Back Pain Care With Clinical Decision Support: User-Centered Design and Initial Usability StudyRobert S Rudin, Patricia M Herman, Robert ViningJMIR Formative Research|February 3, 2025
Machine Learning-Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational StudyRyo Esumi, Hiroki Funao, Eiji Kawamoto, et al.Pageof 490