JMIR Mental Health

Internet interventions, technologies, and digital innovations for mental health and behavior change.

Editor-in-Chief:

John Torous, MD, MBI, Harvard Medical School, USA


Impact Factor 4.39

JMIR Mental Health (JMH, ISSN 2368-7959, Editor-in-Chief: John Torous, MD, MBI, Harvard Medical School, USA, Impact Factor: 4.39) is a premier SCIE/PubMed/Scopus-indexed, peer-reviewed journal with a unique focus on digital health/digital psychiatry/digital psychology/e-mental health, covering Internet/mobile interventions, technologies and electronic innovations (software and hardware) for mental health, including addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations related to digital psychiatry, e-mental health, and clinical informatics in psychiatry/psychology. In June 2021, JMH received a substantially increased impact factor of 4.39. 

The main themes/topics covered by this journal can be found here.

JMIR Mental Health has an international author- and readership and welcomes submissions from around the world.

JMIR Mental Health features a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs.

The journal is indexed in PubMed, PubMed CentralSCIE (Science Citation Index Expanded)/WoS/JCR (Journal Citation Reports), EMBASE, and Scopus. JMH has also been accepted for indexing in PsycINFO.

Recent Articles

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Reviews in Digital Mental Health

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

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Reviews in Digital Mental Health

Web-based interventions have proven to be effective not only in clinical populations but also in the occupational setting. Recent studies conducted in the work environment have focused on the effectiveness of these interventions. However, the role of employees’ acceptability of web-based interventions and programs has not yet enjoyed a similar level of attention.

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Users' and Patients' Needs for Mental Health Services

There is currently an increased interest in and acceptance of technology-enabled mental health care. To adequately harness this opportunity, it is critical that the design and development of digital mental health technologies be informed by the needs and preferences of end users. Despite young people and clinicians being the predominant users of such technologies, few studies have examined their perspectives on different digital mental health technologies.

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Behavior Change

Self-regulation refers to a person’s ability to manage their cognitive, emotional, and behavioral processes to achieve long-term goals. Most prior research has examined self-regulation at the individual level; however, individual-level assessments do not allow the examination of dynamic patterns of intraindividual variability in self-regulation and thus cannot aid in understanding potential malleable processes of self-regulation that may occur in response to the daily environment.

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Innovations in Mental Health Systems

Internet interventions for mental disorders and psychological problems such as prolonged grief have established their efficacy. However, little is known about how internet interventions work and the mechanisms through which they are linked to the outcomes.

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Virtual Reality Interventions in Mental Health

Major depressive disorder (MDD) is a global crisis with increasing incidence and prevalence. There are many established evidence-based psychotherapies (EBPs) for depression, but numerous barriers still exist; most notably, access and dissemination. Virtual reality (VR) may offer some solutions to existing constraints of EBPs for MDD.

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JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions

A growing literature supports the use of internet-based interventions to improve mental health outcomes. However, most programs target specific symptoms or participant groups and are not tailored to facilitate improvements in mental health and well-being or do not allow for needs and preferences of individual participants. The Be Well Plan, a 5-week group-facilitated, internet-based mental health and well-being group intervention addresses these gaps, allowing participants to select a range of activities that they can tailor to their specific characteristics, needs, and preferences.

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Depression and Mood Disorders; Suicide Prevention

Mood disorders are burdensome illnesses that often go undetected and untreated. Sensor technologies within smartphones may provide an opportunity for identifying the early changes in circadian rhythm and social support/connectedness that signify the onset of a depressive or manic episode.

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Technology in Psychiatry/Clinical Psychology Training and Education

Since the COVID-19 pandemic, the number of online mental health treatments have grown exponentially. Additionally, it seems inevitable that this technical resource is here to stay at health centers. However, there is still very little scholarly literature published on this topic, and therefore, the impact of the changes that have had to be dealt with in this regard has not been studied.

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Posttraumatic Stress Disorder (PTSD)

Worldwide, exposure to potentially traumatic events is extremely common, and many individuals develop posttraumatic stress disorder (PTSD) along with other disorders. Unfortunately, considerable barriers to treatment exist. A promising approach to overcoming treatment barriers is a digital mental health intervention (DMHI). However, engagement with DMHIs is a concern, and theoretically based research in this area is sparse and often inconclusive.

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Reviews in Digital Mental Health

Remote measurement technologies (RMT) such as mobile health devices and apps are increasingly used by those living with chronic neurological and mental health conditions. RMT enables real-world data collection and regular feedback, providing users with insights about their own conditions. Data visualizations are an integral part of RMT, although little is known about visualization design preferences from the perspectives of those living with chronic conditions.

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Posttraumatic Stress Disorder (PTSD)

Blended models of therapy, which incorporate elements of both internet and face-to-face methods, have been shown to be effective, but therapists and patients have expressed concerns that fewer face-to-face therapy sessions than self-guided internet sessions may be associated with lower therapeutic alliance, lower program completion rates, and poorer outcomes.

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Preprints Open for Peer-Review

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