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Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

However, to date, studies on smartphone-based depression monitoring are still limited in the context of teenagers.Objective and ResultsIn this paper, we report the results from a Smartphone- and OnLine usage–based eValuation for Depression (SOLVD)-Teen trial

Jian Cao, Anh Lan Truong, Sophia Banu, Asim A Shah, Ashutosh Sabharwal, Nidal Moukaddam

JMIR Ment Health 2020;7(1):e14045

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"Test, Listen, Cure" (TLC) Hepatitis C Community Awareness Campaign

The training program will be offered on three occasions with the assistance of National Medical Association regional chapters.The participating health care providers will be asked to fill out self-administered questionnaires about their professional background

Steven S Coughlin

JMIR Res Protoc 2015;4(1):e13

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What Affects the Completion of Ecological Momentary Assessments in Chronic Pain Research? An Individual Patient Data Meta-Analysis

Masakatsu Ono, Stefan Schneider, Doerte U Junghaenel, Arthur A Stone

J Med Internet Res 2019;21(2):e11398

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The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire

This broad usage facilitates the introduction of new methods of evaluation of dietary intake that include mobile technology.

Luis Maria Bejar, Brett Northrop Sharp, María Dolores García-Perea

JMIR Res Protoc 2016;5(4):e208

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Managing Depressive Symptoms in the Workplace Using a Web-Based Self-Care Tool: A Pilot Randomized Controlled Trial

In an era where Web and mobile apps can be customized to the individual user, it is possible that such customization could help to increase engagement and impact without elevating program costs as with guided interventions.myStrength, the Web and mobile self-care

Abigail Hirsch, Jason Luellen, Jared M Holder, Gregory Steinberg, Teresa Dubiel, Anna Blazejowskyj, Krista Schladweiler

JMIR Res Protoc 2017;6(4):e51

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Direct-to-Consumer Promotion of Prescription Drugs on Mobile Devices: Content Analysis

mobile communications using the following criteria: (1) the communication and the landing page had to be viewable, (2) only 1 communication per brand could be included, (3) the promoted branded prescription drug had to be regulated by FDA’s Center for Drug Evaluation

Kathryn J Aikin, Helen W Sullivan, Suzanne Dolina, Molly Lynch, Linda B Squiers

J Med Internet Res 2017;19(7):e225

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Student Response to Remote-Online Case-Based Learning: A Qualitative Study

CBL typically involves face-to-face interaction in small groups with a focus on self-directed study [2].

Peter Nicklen, Jennifer L Keating, Stephen Maloney

JMIR Med Educ 2016;2(1):e3

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mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model

In particular self-directed runners, who less often discuss their training and competition schedules with a coach, were seen to be at risk. A self-directed long-distance runner explained:Some people may become slaves under the system, and get anxious.

Sara Rönnby, Oscar Lundberg, Kristina Fagher, Jenny Jacobsson, Bo Tillander, Håkan Gauffin, Per-Olof Hansson, Örjan Dahlström, Toomas Timpka

JMIR Mhealth Uhealth 2018;6(8):e10270

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Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review

focus groups [27], self-reported health measures [33], self-reported usage [43], alpha testing [51], and other oral and written feedback [51].Table 1Specific methods of evaluation and studies that used them.Method of evaluation, specific type (n=times used)

Dillys Larbi, Pietro Randine, Eirik Årsand, Konstantinos Antypas, Meghan Bradway, Elia Gabarron

J Med Internet Res 2020;22(7):e18480

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Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach

Our heuristics can support the evaluation of self-tracking apps more generally and will allow researchers to gauge the ways in which privacy is met in future apps.

Luke Hutton, Blaine A Price, Ryan Kelly, Ciaran McCormick, Arosha K Bandara, Tally Hatzakis, Maureen Meadows, Bashar Nuseibeh

JMIR Mhealth Uhealth 2018;6(10):e185

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