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Qualitative Evaluation of Web-Based Digital Intervention to Prevent and Reduce Excessive Alcohol Use and Harm Among Young People Aged 14-15 Years: A “Think-Aloud” Study

Laura Elizabeth Tinner, Eileen Kaner, Claire Garnett, Siobhan Mitchell, Matthew Hickman, Rona Campbell, Georgina MacArthur

JMIR Pediatr Parent 2020;3(2):e19749

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Reported Theory Use by Digital Interventions for Hazardous and Harmful Alcohol Consumption, and Association With Effectiveness: Meta-Regression

Claire Garnett, David Crane, Jamie Brown, Eileen Kaner, Fiona Beyer, Colin Muirhead, Matthew Hickman, James Redmore, Frank de Vocht, Emma Beard, Susan Michie

J Med Internet Res 2018;20(2):e69

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Exploring Entertainment Medicine and Professionalization of Self-Care: Interview Study Among Doctors on the Potential Effects of Digital Self-Tracking

Katleen Gabriels, Tania Moerenhout

J Med Internet Res 2018;20(1):e10

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The Impact of the Internet on Health Consultation Market Concentration: An Econometric Analysis of Secondary Data

Jia Li, Ya Zhang, Ling Ma, Xuan Liu

J Med Internet Res 2016;18(10):e276

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Comparing Brief Internet-Based Compassionate Mind Training and Cognitive Behavioral Therapy for Perinatal Women: Study Protocol for a Randomized Controlled Trial

Alex R Kelman, Meagan L Stanley, Alinne Z Barrera, Michelle Cree, Yotam Heineberg, Paul Gilbert

JMIR Res Protoc 2016;5(2):e65

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Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors

Rebecca Cherng-Shiow Chang, Hsi-Peng Lu, Peishan Yang, Pin Luarn

JMIR Mhealth Uhealth 2016;4(3):e84

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Clinician Perspectives on the Design and Application of Wearable Cardiac Technologies for Older Adults: Qualitative Study

Caleb Ferguson, Sally C Inglis, Paul P Breen, Gaetano D Gargiulo, Victoria Byiers, Peter S Macdonald, Louise D Hickman

JMIR Aging 2020;3(1):e17299

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Wearable Stress Sensors for Children With Autism Spectrum Disorder With In Situ Alerts to Caregivers via a Mobile Phone

C Matthew Northrup, Johanna Lantz, Theresa Hamlin

iproc 2016;2(1):e9

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Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

Herdiantri Sufriyana, Yu-Wei Wu, Emily Chia-Yu Su

JMIR Med Inform 2020;8(5):e15411

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Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review

Nancy Matthew-Maich, Lauren Harris, Jenny Ploeg, Maureen Markle-Reid, Ruta Valaitis, Sarah Ibrahim, Amiram Gafni, Sandra Isaacs

JMIR Mhealth Uhealth 2016;4(2):e29

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