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JMIR Formative Research|December 29, 2025
Estimating the Frequency of Inpatient Adverse Events Using a 2-Step Retrospective Chart Review: Initial Observational Cohort StudySyed Sabih Ul Hassan, Fozia Asif, Farwa Ayub, et al.
JMIR Formative Research|January 6, 2026
Digital Health Communication and Vaccine Confidence in Mexico Using Aggregated Randomized Brand Lift Studies: Secondary AnalysisBerenice Muñoz Cordero, Rodrigo Romero Feregrino, Raul Romero Feregrino, et al.
JMIR Formative Research|April 22, 2020
Using Crowdsourcing to Develop a Peer-Led Intervention for Safer Dating App Use: Pilot StudyWilliam Chi Wai Wong, Lin Song, Christopher See, et al.
JMIR Formative Research|May 5, 2020
A Persuasive mHealth Behavioral Change Intervention for Promoting Physical Activity in the Workplace: Feasibility Randomized Controlled TrialMd Sanaul Haque, Maarit Kangas, Timo Jämsä
JMIR Formative Research|May 6, 2020
Privacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative EvaluationSven Festag, Cord Spreckelsen
JMIR Formative Research|November 14, 2022
Measurement of Vital Signs Using Lifelight Remote Photoplethysmography: Results of the VISION-D and VISION-V Observational StudiesEmily Heiden, Tom Jones, Annika Brogaard Maczka, et al.
JMIR Formative Research|February 22, 2023
Prevalence and Associated Factors of Maternal Depression and Anxiety Among African Immigrant Women in Alberta, Canada: Quantitative Cross-sectional Survey StudyChinenye Nmanma Nwoke, Oluwagbohunmi A Awosoga, Sheila McDonald, et al.
JMIR Formative Research|February 22, 2023
Integrating User Preferences for Asthma Tools and Clinical Guidelines Into Primary Care Electronic Medical Records: Mixed Methods StudyMax Moloney, Madison MacKinnon, Emma Bullock, et al.
JMIR Formative Research|August 22, 2025
Characteristics Associated With the Use of the Mindfulness Meditation App Headspace in a Large Public Health Deployment: Cross-Sectional Survey StudyJudith Borghouts, Elizabeth V Eikey, Cinthia De Leon, et al.
JMIR Formative Research|August 22, 2025
Prediction of 1-Year Activity in Systemic Lupus Erythematosus: Hierarchical Machine Learning ApproachLivia Lilli, Laura Antenucci, Augusta Ortolan, et al.
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