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JMIR Formative Research|May 18, 2026
Standardized patient versus video demonstration for teaching spinal injury management psycho-motor skills to undergraduate medical students: A Comparative studyMondeep Gayan, Sandeep Shrivastava, Kiran Sonowal, et al.JMIR Formative Research|May 19, 2026
Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report DataKatherine Wislocki, Ghazal Naderi, Jessica L Borelli, et al.JMIR Formative Research|May 19, 2026
Primary Care Physicians' Interactions With a Novel Web-Based Active Learning Tool (The Community Fracture Capture Learning Hub): Qualitative AnalysisAhmed M Fathalla, Shanton Chang, Cherie Chiang, et al.JMIR Formative Research|May 19, 2026
COVID-19 Knowledge, Attitudes, and Practices and Perceived Risk: Cross-Sectional Mixed Methods StudyAliza Bitton Ben-Zacharia, Moshe Ben-Zacharia, Jennifer SmrtkaJMIR Formative Research|May 19, 2026
Metaverse-Based Virtual Reality for Remote Anatomy Education: Pilot Randomized Controlled TrialJason Ha, Andrew Gan, Ameen Mahmood, et al.JMIR Formative Research|May 7, 2026
A Sustainable Lifestyle Intervention Among Office Workers: Cluster Randomized Pilot and Feasibility StudyOskar Halling Ullberg, Annika Tillander, Katarina BälterJMIR Formative Research|May 4, 2026
At-Home Sleep Electroencephalography Assessment in Young and Older Adults Using a Novel Wireless Soft Electronics Sleep Monitoring System: Experimental StudyHyeonseok Kim, Simran Saha, Aiden Wachnin, et al.JMIR Formative Research|May 4, 2026
Older Adults' Experiences Navigating Setup of Digital Health Technology: Implementation ReportP Jeffrey Brady, Rachel McCloud, Erin Higgins, et al.JMIR Formative Research|March 20, 2026
Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation StudyKenichi Kishi, Hisashi Hayashi, Shigeomi KoshimizuJMIR Formative Research|May 15, 2026
Complication Risk Classification in Children and Adolescents With Type 1 Diabetes: Interpretable Machine Learning Study Based on Saudi Clinical GuidelinesJalilah Fllatah, Haneen BanjarPageof 484