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Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Youfa Wang, Jungwon Min, Jacob Khuri, Hong Xue, Bo Xie, Leonard A Kaminsky, Lawrence J Cheskin

JMIR Mhealth Uhealth 2020;8(4):e15400

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Improving Information Technology Adoption and Implementation Through the Identification of Appropriate Benefits: Creating IMPROVE-IT

While often considered a small part of the total IT costs, a general rule of thumb is that the yearly cost of a printer, including depreciation, maintenance, and operating expenses, is roughly equivalent to the original purchase price.)

Kevin Leonard, Dean Sittig

J Med Internet Res 2007;9(2):e9

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Self-Reflected Well-Being via a Smartphone App in Clinical Medical Students: Feasibility Study

Notably, however, no other published research has used it as a daily survey before. The WHO-5 was chosen because it has a sensitivity of 0.93 and a specificity of 0.83 in the detection of depression [14].Figure 2 Screenshots of the app. 

Elizabeth K Berryman, Daniel J Leonard, Andrew R Gray, Ralph Pinnock, Barry Taylor

JMIR Med Educ 2018;4(1):e7

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Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation

The app relied on a small (1 cm diameter) green sticker on the foot to provide a scale for calculating the ulcer wound size [14].

Bernd Ploderer, Ross Brown, Leonard Si Da Seng, Peter A Lazzarini, Jaap J van Netten

JMIR Diabetes 2018;3(4):e10105

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Smartphone Apps to Support Coordinated Specialty Care for Prodromal and Early Course Schizophrenia Disorders: Systematic Review

A total of 525 articles were originally discovered. Following the elimination of duplicates, a total of 388 references were identified.

Erica Camacho, Leonard Levin, John Torous

J Med Internet Res 2019;21(11):e16393

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Perceptions and Experiences of Heart Failure Patients and Clinicians on the Use of Mobile Phone-Based Telemonitoring

A “teachable moment” is when the ability to learn a particular task is possible, because the timing is right [9].

Emily Seto, Kevin J Leonard, Joseph A Cafazzo, Jan Barnsley, Caterina Masino, Heather J Ross

J Med Internet Res 2012;14(1):e25

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Attitudes of Heart Failure Patients and Healthcare Providers towards Mobile Phone-Based Remote Monitoring

A description of a mobile phone-based remote monitoring system was provided to all study participants prior to eliciting any feedback.

Emily Seto, Kevin J. Leonard, Caterina Masino, Joseph A. Cafazzo, Jan Barnsley, Heather J. Ross

J Med Internet Res 2010;12(4):e55

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Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

Although this simple adaptive goal algorithm was modestly effective [28], a computer simulation study [43] for a weight loss intervention involving physical activity goal-setting and in-person counseling sessions found that a more sophisticated algorithm using

Mo Zhou, Yoshimi Fukuoka, Yonatan Mintz, Ken Goldberg, Philip Kaminsky, Elena Flowers, Anil Aswani

JMIR Mhealth Uhealth 2018;6(1):e28

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Mobile Phone-Based Telemonitoring for Heart Failure Management: A Randomized Controlled Trial

A sample size calculation was based on the Self-Care of Heart Failure Index (SCHFI), using a population standard deviation of 20 and an effect size of 10 (effect size represents a clinically significant change of more than half a standard deviation) as determined

Emily Seto, Kevin J Leonard, Joseph A Cafazzo, Jan Barnsley, Caterina Masino, Heather J Ross

J Med Internet Res 2012;14(1):e31

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Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data

Donna L Coffman, Xizhen Cai, Runze Li, Noelle R Leonard

JMIR Biomed Eng 2020;5(1):e17106

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