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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey

Use of AI in Mental Health Care: Community and Mental Health Professionals Survey

Future research could build on these preliminary findings with larger and more diverse samples, potentially through cross-jurisdictional studies that can provide a more comprehensive view of the impact of AI on mental health care. Our study underscores the promise and challenges of AI in mental health care. As AI tools evolve, it is essential that they are developed with ethics, inclusivity, accuracy, safety and the genuine needs of end users in mind.

Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

JMIR Ment Health 2024;11:e60589

Developing a Theory of Change for a Digital Youth Mental Health Service (Moderated Online Social Therapy): Mixed Methods Knowledge Synthesis Study

Developing a Theory of Change for a Digital Youth Mental Health Service (Moderated Online Social Therapy): Mixed Methods Knowledge Synthesis Study

Mechanisms of change—cross-cutting mechanisms Platform design and content aim to promote the self-determined motivation of the young person, clinicians, and services to uptake and engage with platform content over time. Professional and peer support aims to promote therapeutic relationships and working alliances. Use of SDT-behavior change techniques [52] by support staff designed to enhance behavioral change.

Shane Cross, Jennifer Nicholas, Shaminka Mangelsdorf, Lee Valentine, Simon Baker, Patrick McGorry, John Gleeson, Mario Alvarez-Jimenez

JMIR Form Res 2023;7:e49846

Measures of Daily Activities Associated With Mental Health (Things You Do Questionnaire): Development of a Preliminary Psychometric Study and Replication Study

Measures of Daily Activities Associated With Mental Health (Things You Do Questionnaire): Development of a Preliminary Psychometric Study and Replication Study

A series of confirmatory factor analyses (CFAs) were conducted to examine the reliability of the EFAs within a sample cross-validation analysis (5 randomized subsamples) and the validity of the factor structure along with key subgroups that differed based on age (60 years), gender (male, female, and other), the severity of depressive or anxiety symptoms (minimal-mild, moderate, and severe), an indication of employment, and tertiary education.

Nickolai Titov, Blake F Dear, Madelyne A Bisby, Olav Nielssen, Lauren G Staples, Rony Kayrouz, Shane Cross, Eyal Karin

JMIR Form Res 2022;6(7):e38837

Correction of: Using New and Emerging Technologies to Identify and Respond to Suicidality Among Help-Seeking Young People: A Cross-Sectional Study

Correction of: Using New and Emerging Technologies to Identify and Respond to Suicidality Among Help-Seeking Young People: A Cross-Sectional Study

In the paper by Frank Iorfino et al, “Using New and Emerging Technologies to Identify and Respond to Suicidality Among Help-Seeking Young People: A Cross-Sectional Study” (J Med Internet Res 2017;19(7):e247), a mistake was made in the final stage of copy editing.

Frank Iorfino, Tracey A Davenport, Laura Ospina-Pinillos, Daniel F Hermens, Shane Cross, Jane Burns, Ian B Hickie

J Med Internet Res 2017;19(10):e310