A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial

Liao J, Xiao HY, Li XQ, Sun SH, Liu SX, Yang YJ, Xu D A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial JMIR Mhealth Uhealth 2020;8(4):e14969 URL: mhealth.jmir.org/2020/4/e14969 DOI: 10.2196/14969 PMID: 32271151

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Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial

Yang Y, Lee EY, Kim HS, Lee SH, Yoon KH, Cho JH Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial JMIR Mhealth Uhealth 2020;8(2):e16266 URL: mhealth.jmir.org/2020/2/e16266 DOI: 10.2196/16266

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The Effect of Smartphone Apps Versus Supervised Exercise on Physical Activity, Cardiorespiratory Fitness, and Body Composition Among Individuals With Mild-to-Moderate Mobility Disability: Randomized Controlled Trial

Berglind D, Yacaman-Mendez D, Lavebratt C, Forsell Y The Effect of Smartphone Apps Versus Supervised Exercise on Physical Activity, Cardiorespiratory Fitness, and Body Composition Among Individuals With Mild-to-Moderate Mobility Disability: Randomized Controlled Trial JMIR Mhealth Uhealth 2020;8(2):e14615 URL: mhealth.jmir.org/2020/2/e14615 DOI: 10.2196/14615 PMID: 32014846

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Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries

Baxter C, Carroll JA, Keogh B, Vandelanotte C Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries JMIR Mhealth Uhealth 2020;8(2):e16741 URL: mhealth.jmir.org/2020/2/e16741 DOI: 10.2196/16741

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A Smartphone App Designed to Empower Patients to Contribute Toward Safer Surgical Care: Community-Based Evaluation Using a Participatory Approach

Russ S, Latif Z, Hazell AL, Ogunmuyiwa H, Tapper J, Wachuku-King S, Sevdalis N, Ocloo J A Smartphone App Designed to Empower Patients to Contribute Toward Safer Surgical Care: Community-Based Evaluation Using a Participatory Approach JMIR Mhealth Uhealth 2020;8(1):e12859 URL: mhealth.jmir.org/2020/1/e12859 DOI: 10.2196/12859 PMID: 31958067

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Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study

JMU – Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study | Zhou | JMIR mHealth and uHealth mhealth.jmir.org/2020/1/e15060/ Zhou L, Saptono A, Setiawan IMA, Parmanto B Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study JMIR Mhealth Uhealth 2020;8(1):e15060 URL: mhealth.jmir.org/2020/1/e15060

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Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study

JMU – Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study | Holdener | JMIR mHealth and uHealth mhealth.jmir.org/2020/1/e13244/ Holdener M, Gut A, Angerer A Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study JMIR Mhealth Uhealth 2020;8(1):e13244 URL: mhealth.jmir.org/2020/1/e13244 DOI: 10.2196/13244

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Usefulness of Modern Activity Trackers for Monitoring Exercise Behavior in Chronic Cardiac Patients: Validation Study | Herkert | JMIR mHealth and uHealth

JMU – Usefulness of Modern Activity Trackers for Monitoring Exercise Behavior in Chronic Cardiac Patients: Validation Study | Herkert | JMIR mHealth and uHealth mhealth.jmir.org/2019/12/e15045/ Herkert C, Kraal JJ, van Loon EMA, van Hooff M, Kemps HMC Usefulness of Modern Activity Trackers for Monitoring Exercise Behavior in Chronic Cardiac Patients:

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