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JMIR Mhealth and Uhealth|December 13, 2018
A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility StudyLeming Zhou, Bambang Parmanto, Zakiy Alfikri, et al.
JMIR Mhealth and Uhealth|December 15, 2018
Developing Typologies of User Engagement With the BRANCH Alcohol-Harm Reduction Smartphone App: Qualitative StudyJoanna Milward, Paolo Deluca, Colin Drummond, et al.
JMIR Mhealth and Uhealth|December 16, 2018
Data Integrity-Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative AnalysisJia Zhang, Laura Tüshaus, Néstor Nuño Martínez, et al.
JMIR Mhealth and Uhealth|December 16, 2018
Predictors of Engagement, Response to Follow Up, and Extent of Alcohol Reduction in Users of a Smartphone App (Drink Less): Secondary Analysis of a Factorial Randomized Controlled TrialClaire Garnett, Olga Perski, Ildiko Tombor, et al.
JMIR Mhealth and Uhealth|January 10, 2019
An mHealth App for Users with Dexterity Impairments: Accessibility StudyDaihua Yu, Bambang Parmanto, Brad Dicianno
JMIR Mhealth and Uhealth|May 30, 2020
The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App StoresJanine Koepp, Miriam Viviane Baron, Paulo Ricardo Hernandes Martins, et al.
JMIR Mhealth and Uhealth|June 10, 2020
Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability StudyJudith Jantine Willemijn van Beek, Erwin Everardus Henri van Wegen, Marc Berend Rietberg, et al.
JMIR Mhealth and Uhealth|May 10, 2021
Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention StudySofie Compernolle, Delfien Van Dyck, Greet Cardon, et al.
JMIR Mhealth and Uhealth|May 13, 2021
Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention: Questionnaire StudyYongmei Liu, Fei Jiang, Peiyang Lin
JMIR Mhealth and Uhealth|May 6, 2021
Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort StudyChia-Tung Wu, Guo-Hung Li, Chun-Ta Huang, et al.
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