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Mobile Phone Ownership and Endorsement of "mHealth" Among People With Psychosis: A Meta-analysis of Cross-sectional Studies.
- J. Firth, J. Cotter, J. Torous, S. Bucci, J. A. Firth, A. Yung
- Medicine, PsychologySchizophrenia bulletin
- 1 March 2016
There is strong statistical evidence that mobile phone ownership has been significantly increasing since 2007, and the rate among patients surveyed in the last 2 years was 81.4% (n = 454); in surveys of mHealth acceptability, the majority of patients responded in favor of using mobile phones to enhance contact with services and support self-management.
The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials
- J. Firth, J. Torous, J. Sarris
- PsychologyWorld psychiatry : official journal of the World…
- 1 October 2017
Results indicate that smartphone devices are a promising self‐management tool for depression, and future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.
Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials.
Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape
- A. Vaidyam, Hannah Wisniewski, J. Halamka, M.S. Kashavan, J. Torous
- Psychology, MedicineCanadian journal of psychiatry. Revue canadienne…
- 21 March 2019
Preliminary evidence for psychiatric use of chatbots is favourable, however, given the heterogeneity of the reviewed studies, further research with standardized outcomes reporting is required to more thoroughly examine the effectiveness of conversational agents.
The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness.
New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research
The Beiwe platform is reported on, a research platform featuring a study portal, smartphone app, database, and data modeling and analysis tools designed and developed specifically for transparent, customizable, and reproducible biomedical research use, in particular for the study of psychiatric and neurological disorders.
Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements
- J. Torous, J. Nicholas, M. Larsen, J. Firth, H. Christensen
- MedicineEvidence Based Journals
- 5 June 2018
Current challenges surrounding user engagement with mental health smartphone apps are reviewed, and several solutions are proposed and successful examples of mental health apps with high engagement are highlighted.
Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder
Patients with major depressive disorder are able to utilize an app on their personal smartphones to self-assess their symptoms of major depressive Disorder with high levels of adherence and scores recorded from the app may potentially be more sensitive and better able to capture suicidality than the traditional PHQ-9.
Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation
Health care professionals prescribing apps should not rely on disclosures about data sharing in health app privacy policies but should reasonably assume that data will be shared with commercial entities whose own privacy practices have been questioned and, if possible, should consider only apps with data transmission behaviors that have been subject to direct scrutiny.
Towards a Framework for Evaluating Mobile Mental Health Apps.
- S. Chan, J. Torous, L. Hinton, P. Yellowlees
- MedicineTelemedicine journal and e-health : the official…
- 1 December 2015
Criteria for both patients and providers to use in assessing not just smartphone apps, but also wearable devices and smartwatch apps for mental health are proposed.