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Quantifying Consumer Interest in Medicare Advantage: Development and Usability Study Using Google Trends Data
Quantifying Consumer Interest in Medicare Advantage: Development and Usability Study Using Google Trends Data
Background: Since 2020, Medicare Advantage (MA)–related internet searches have tripled, accompanied by increased regional ...
Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review
Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review
Background: Generative artificial intelligence (AI) chatbots have rapidly entered public use, including in contexts involv...
Help-Seeking in the Age of AI: Cross-Sectional Survey of the Use and Perceptions of AI-Based Mental Health Support Among US Adults
Help-Seeking in the Age of AI: Cross-Sectional Survey of the Use and Perceptions of AI-Based Mental Health Support Among US Adults
Background: Anecdotal evidence suggests that an increasing number of people are turning to generative artificial intellige...
AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study
AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study
Background: Large language models (LLMs) now enable chatbots to engage in sensitive mental health conversations, including...
It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety
It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety
Large language models are rapidly becoming embedded in everyday life through artificial intelligence (AI) chatbots that pe...
Strength of Evidence to Support Decision-Making on the Use of Digital Mental Health Technologies in NICE Evaluations: Cross-Sectional Analysis of Studies
Strength of Evidence to Support Decision-Making on the Use of Digital Mental Health Technologies in NICE Evaluations: Cross-Sectional Analysis of Studies
Background: Digital mental health technologies (DMHTs) are playing an increasing role in mental health services. The quali...
Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study
Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study
Background: Passive smartphone sensing shows promise for suicide prevention, but behavioral metadata (GPS, screen time, an...
Peer Mentor Training and Supervision for a Digital Adolescent Depression Treatment in South Africa and Uganda: Mixed Methods Evaluation
Peer Mentor Training and Supervision for a Digital Adolescent Depression Treatment in South Africa and Uganda: Mixed Methods Evaluation
Background: Blended digital mental health interventions combining technology with human support are more effective than st...
Determinants of Digital Health Literacy Among Patients With Serious Mental Illness: Cross-Sectional Survey
Determinants of Digital Health Literacy Among Patients With Serious Mental Illness: Cross-Sectional Survey
Background: Individuals with serious mental illness increasingly use digital devices and the internet to access health inf...
Popular Online Content as a Treatment-as-Usual Control in Digital Mental Health Intervention Trials: Secondary Analysis of Two Online Randomized Controlled Trials With Repeated Measures
Popular Online Content as a Treatment-as-Usual Control in Digital Mental Health Intervention Trials: Secondary Analysis of Two Online Randomized Controlled Trials With Repeated Measures
Background: Treatment-as-usual (TAU) conditions are intended to reflect the support typically received in routine treatmen...
The Ability of AI Therapy Bots to Set Limits With Distressed Adolescents: Simulation-Based Comparison Study
The Ability of AI Therapy Bots to Set Limits With Distressed Adolescents: Simulation-Based Comparison Study
Background: Recent developments in generative artificial intelligence (AI) have introduced the general public to powerful,...
Mindful Nonreactivity, Anxiety, Depression, and Perceived Stress as Mediators of the Mindfulness Virtual Community Intervention—Pathways to Enhance Mental Health in University Students: Secondary Evaluation of Two Randomized Controlled Trials With Student Participants
Mindful Nonreactivity, Anxiety, Depression, and Perceived Stress as Mediators of the Mindfulness Virtual Community Intervention—Pathways to Enhance Mental Health in University Students: Secondary Evaluation of Two Randomized Controlled Trials With Student Participants
Background: Mindfulness-based interventions (MBIs) are widely employed in mental health promotion and treatment. Despite w...
Feasibility and Acceptability of a Smartphone-Delivered Mindfulness Intervention for Stress Reduction in Adult Singaporeans: Pilot Randomized Controlled Trial
Feasibility and Acceptability of a Smartphone-Delivered Mindfulness Intervention for Stress Reduction in Adult Singaporeans: Pilot Randomized Controlled Trial
Background: Fully decentralized self-administered mindfulness interventions show promise for stress reduction, but rigorou...
Exploring the Characteristics of Online Counseling Chat Services for Youth in Europe: Web Search Study
Exploring the Characteristics of Online Counseling Chat Services for Youth in Europe: Web Search Study
Background: Online counselling chat services are increasingly used by young people worldwide. There is a growing body of l...
Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review
Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review
Background: Low- and middle-income countries (LMICs), which bear a larger proportion of the global mental illness burden, ...
“I Believe That AI Will Recognize the Problem Before It Happens”: Qualitative Study Exploring Young Adults’ Perceptions of AI in Mental Health Care
“I Believe That AI Will Recognize the Problem Before It Happens”: Qualitative Study Exploring Young Adults’ Perceptions of AI in Mental Health Care
Background: Globally, young adults with mental health problems struggle to access appropriate and timely care, which may l...
A Social Support Just-in-Time Adaptive Intervention for Individuals With Depressive Symptoms: Feasibility Study With a Microrandomized Trial Design
A Social Support Just-in-Time Adaptive Intervention for Individuals With Depressive Symptoms: Feasibility Study With a Microrandomized Trial Design
Background: Just-in-time adaptive interventions (JITAIs) aim to provide psychological support during critical moments in d...
Web-Based Interactive Training for Managers (Managing Minds at Work) to Promote Mental Health at Work: Pilot Feasibility Cluster Randomized Controlled Trial
Web-Based Interactive Training for Managers (Managing Minds at Work) to Promote Mental Health at Work: Pilot Feasibility Cluster Randomized Controlled Trial
Background: Line managers play a key role in preventing poor mental health but often lack necessary skills and knowledge. ...
Digital Contingency Management for Substance Use Disorder Treatment: 12-Month Quasi-Experimental Design
Digital Contingency Management for Substance Use Disorder Treatment: 12-Month Quasi-Experimental Design
Background: Although contingency management (CM) has shown some efficacy in substance use disorder treatment, digital cont...
Ecological Momentary Assessment of Self-Harm Thoughts and Behaviors: Systematic Review of Constructs From the Integrated Motivational-Volitional Model
Ecological Momentary Assessment of Self-Harm Thoughts and Behaviors: Systematic Review of Constructs From the Integrated Motivational-Volitional Model
Background: The integrated motivational-volitional model (IMV) is one of the leading theoretical models of suicidal though...
Integrating Patient-Generated Digital Data Into Mental Health Therapy: Mixed Methods Analysis of User Experience
Integrating Patient-Generated Digital Data Into Mental Health Therapy: Mixed Methods Analysis of User Experience
Background: Therapists and their patients increasingly discuss digital data from social media, smartphone sensors, and oth...
Implementing Findable, Accessible, Interoperable, Reusable (FAIR) Principles in Child and Adolescent Mental Health Research: Mixed Methods Approach
Implementing Findable, Accessible, Interoperable, Reusable (FAIR) Principles in Child and Adolescent Mental Health Research: Mixed Methods Approach
Background: The FAIR (Findable, Accessible, Interoperable, Reusable) data principles are a guideline to improve the reusab...
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study
Background: Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cog...
Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study
Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), provid...
Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach
Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach
Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in...
Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study
Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study
Background: The rise of wearable sensors marks a significant development in the era of affective computing. Their populari...
Assessing Health Technology Literacy and Attitudes of Patients in an Urban Outpatient Psychiatry Clinic: Cross-Sectional Survey Study
Assessing Health Technology Literacy and Attitudes of Patients in an Urban Outpatient Psychiatry Clinic: Cross-Sectional Survey Study
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption o...
User Experiences of and Preferences for Self-Guided Digital Interventions for the Treatment of Mild to Moderate Eating Disorders: Systematic Review and Metasynthesis
User Experiences of and Preferences for Self-Guided Digital Interventions for the Treatment of Mild to Moderate Eating Disorders: Systematic Review and Metasynthesis
Background: Digital interventions typically involve using smartphones or PCs to access online or downloadable self-help an...
Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review
Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review
Background: Digital wearable devices, worn on or close to the body, have potential for passively detecting mental and phys...
Digital Cognitive Assessment Tests for Older Adults: Systematic Literature Review
Digital Cognitive Assessment Tests for Older Adults: Systematic Literature Review
Background: The global health pandemic has affected the increasing older adult population, especially those with mental il...
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