Background: Artificial intelligence (AI) has been increasingly recognized as a potential solution to address mental health service challenges by automating tasks and providing new forms of support.
Objective: This study is the first in a series which aims to estimate the current rates of AI technology use as well as perceived benefits, harms, and risks experienced by community members (CMs) and mental health professionals (MHPs).
Methods: This study involved 2 web-based surveys conducted in Australia. The surveys collected data on demographics, technology comfort, attitudes toward AI, specific AI use cases, and experiences of benefits and harms from AI use. Descriptive statistics were calculated, and thematic analysis of open-ended responses were conducted.
Results: The final sample consisted of 107 CMs and 86 MHPs. General attitudes toward AI varied, with CMs reporting neutral and MHPs reporting more positive attitudes. Regarding AI usage, 28% (30/108) of CMs used AI, primarily for quick support (18/30, 60%) and as a personal therapist (14/30, 47%). Among MHPs, 43% (37/86) used AI; mostly for research (24/37, 65%) and report writing (20/37, 54%). While the majority found AI to be generally beneficial (23/30, 77% of CMs and 34/37, 92% of MHPs), specific harms and concerns were experienced by 47% (14/30) of CMs and 51% (19/37) of MHPs. There was an equal mix of positive and negative sentiment toward the future of AI in mental health care in open feedback.
Conclusions: Commercial AI tools are increasingly being used by CMs and MHPs. Respondents believe AI will offer future advantages for mental health care in terms of accessibility, cost reduction, personalization, and work efficiency. However, they were equally concerned about reducing human connection, ethics, privacy and regulation, medical errors, potential for misuse, and data security. Despite the immense potential, integration into mental health systems must be approached with caution, addressing legal and ethical concerns while developing safeguards to mitigate potential harms. Future surveys are planned to track use and acceptability of AI and associated issues over time.
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http://dx.doi.org/10.2196/60589 | DOI Listing |
J Autism Dev Disord
December 2024
Department of Psychology, University of Wyoming, Laramie, WY, USA.
Purpose: Autistic adults experience high rates of traumatic events and PTSD. However, little work has evaluated motor vehicle accident (MVA) related trauma symptoms. The goal of this brief report was to provide pilot data characterizing MVA-related peritraumatic reactions, trauma symptoms, and rates of PTSD diagnosis and mental health service use among Autistic compared to non-autistic adults.
View Article and Find Full Text PDFBraz J Psychiatry
December 2024
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.
Objective: Disordered Eating Behaviors (DEB) are associated with dysfunctional changes in eating behavior, not meeting diagnostic criteria for eating disorders. DEB affects a significant percentage of individuals, yet it remains under-researched. The current study investigates the developmental trajectory and psychopathological correlates of DEB in children and adolescents in Brazil.
View Article and Find Full Text PDFScand J Occup Ther
January 2025
Department of Health Sciences, Mental Health, Activity and Participation (MAP), Lund University, Lund, Sweden.
Background: Existing research has shown that those ageing with severe mental illness face significant challenges in daily life. Attendance at community-based day centres (DCs) is offered to support daily structure and break isolation. However, little is known about the experiences of those receiving this type of support while transitioning into retirement age.
View Article and Find Full Text PDFClin Gerontol
December 2024
School of Nursing, Peking University, Beijing, China.
Objectives: To investigate whether baseline depressive symptoms impacted the effectiveness of an exercise intervention among (pre)frail older adults.
Methods: This is a subanalysis of a stepped-wedge cluster randomized trial implementing an exercise intervention, with an application of the integration of the Health Belief Model, Theory of Planned Behavior, and Health Action Process Approach, among 149 community-dwelling (pre)frail older adults. The intervention effectiveness was examined by baseline depressive symptoms (depressive symptoms ( = 40) and non-depressive symptoms ( = 109).
J Ethn Subst Abuse
December 2024
School of Social Work, Algoma University, Ontario, Canada.
This article focuses on findings of a qualitative research study that looked at experiences of Filipino healthcare workers in Canada during the COVID-19 pandemic. The purpose is to contribute to the growing body of literature on mental health among racialized frontline healthcare workers in Canada by investigating factors that affect mental health and barriers associated with accessing services and supports among Filipino healthcare workers in Ontario, Canada. The study employed a cross-sectional qualitative descriptive design to identify strategies that Filipino frontline healthcare workers use to effectively cope with mental health issues, work stress, and structural and economic barriers to their well-being.
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