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JMIR Mental Health|May 22, 2023
Understanding What Drives Long-term Engagement in Digital Mental Health Interventions: Secondary Causal Analysis of the Relationship Between Social Networking and Therapy EngagementShaunagh O'Sullivan, Niels van Berkel, Vassilis Kostakos, et al.JMIR Mental Health|July 29, 2020
Remote Care for Caregivers of People With Psychosis: Mixed Methods Pilot StudyKristin Lie Romm, Liv Nilsen, Kristine Gjermundsen, et al.JMIR Mental Health|July 17, 2020
Barriers and Facilitators for Referrals of Primary Care Patients to Blended Internet-Based Psychotherapy for Depression: Mixed Methods Study of General Practitioners' ViewsIngrid Titzler, Matthias Berking, Sandra Schlicker, et al.JMIR Mental Health|July 17, 2020
Design of a Digital Comic Creator (It's Me) to Facilitate Social Skills Training for Children With Autism Spectrum Disorder: Design Research ApproachGijs Terlouw, Job Tb van 't Veer, Jelle T Prins, et al.JMIR Mental Health|July 25, 2020
Implementation Determinants and Outcomes of a Technology-Enabled Service Targeting Suicide Risk in High Schools: Mixed Methods StudyMolly Adrian, Jessica Coifman, Michael D Pullmann, et al.JMIR Mental Health|July 25, 2020
Toward a Taxonomy for Analyzing the Heart Rate as a Physiological Indicator of Posttraumatic Stress Disorder: Systematic Review and Development of a FrameworkMahnoosh Sadeghi, Farzan Sasangohar, Anthony D McDonaldJMIR Mental Health|July 25, 2020
Efficacy of a Smartphone App Intervention for Reducing Caregiver Stress: Randomized Controlled TrialMatthew Fuller-Tyszkiewicz, Ben Richardson, Keriann Little, et al.JMIR Mental Health|July 25, 2020
An Internet-Based Cognitive Behavioral Program for Adolescents With Anxiety: Pilot Randomized Controlled TrialKathleen O'Connor, Alexa Bagnell, Patrick McGrath, et al.JMIR Mental Health|July 25, 2020
Assessment of Population Well-Being With the Mental Health Quotient (MHQ): Development and Usability StudyJennifer Jane Newson, Tara C ThiagarajanJMIR Mental Health|July 4, 2020
Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar DisorderHenning Daus, Timon Bloecher, Ronny Egeler, et al.Pageof 133