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Gamified Adaptive Approach Bias Modification in Individuals With Methamphetamine Use History From Communities in Sichuan: Pilot Randomized Controlled Trial

Gamified Adaptive Approach Bias Modification in Individuals With Methamphetamine Use History From Communities in Sichuan: Pilot Randomized Controlled Trial

Typically, individuals with psychiatric disorders exhibit a distinctive cognitive bias toward certain types of stimuli. Researchers have developed cognitive bias modification (CBM) training schemes aimed at redirecting the bias from negative to positive stimuli. The mechanisms underlying CBM’s efficacy are grounded in theories of automaticity and habit formation, where repeated exposure to corrective training diminishes the influence of negative stimuli over time.

Danlin Shen, Jianping Jiao, Liqun Zhang, Yanru Liu, Xiang Liu, Yuanhui Li, Tianjiao Zhang, Dai Li, Wei Hao

JMIR Serious Games 2025;13:e56978

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

America’s psychiatric crisis impairs our health, happiness, and productivity on an industrial scale. Half of all Americans will experience a behavioral health condition at some point in life, and 1 in 5 will experience a condition so severe that it is debilitating [1,2]. Despite the ubiquitous nature of these conditions and their sprawling impacts, psychiatric care is underused, and many individuals resist treatment up to the point of emergency crises [3,4].

Dan Holley, Amanda Brooks, Matthew Hartz, Sudhir Rao, Thomas Zaubler

JMIR Mhealth Uhealth 2025;13:e52764

Biomarkers of Response to Internet-Based Psychological Interventions: Systematic Review

Biomarkers of Response to Internet-Based Psychological Interventions: Systematic Review

They targeted psychiatric, psychological, or physical conditions or nonclinical individuals (we considered “nonclinical” as those participants who were not recruited based on a specific psychiatric or organic illness and those interventions that did not specifically target a certain disease—in opposition to “psychiatric or psychological” and “physical” samples, whose participants had a mental or medical diagnosis). They were written in English, French, or Italian.

Giulia Gotti, Chiara Gabelli, Sophia Russotto, Fabio Madeddu, Philippe Courtet, Jorge Lopez-Castroman, Patrizia Zeppegno, Carla Maria Gramaglia, Raffaella Calati

J Med Internet Res 2024;26:e55736

Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review

Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review

Using data from the i PSYCH2012 case cohort, another study integrated genetics and registry data with a deep learning approach to stratify 19,636 patients with schizophrenia with or without major depressive disorder into clinically distinct subgroups characterized by unique disorder severities and comorbidity signatures, with predictive models achieving AUCs of 0.55 to 0.97, and therefore emphasized the importance of data-driven stratification for improving psychiatric diagnosis and prognosis [40].

Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais

JMIR Bioinform Biotech 2024;5:e62752

Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study

Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study

The study recruited 2 samples of participants: adults from Massachusetts General Hospital’s Acute Psychiatry Service and children or adolescents (and their parents or guardians) from Franciscan Children’s psychiatric inpatient unit. Adult participants were eligible if they were 18 years or older, with other criteria including owning a smartphone and presenting to the emergency department with suicidal thoughts.

Marta Karas, Debbie Huang, Zachary Clement, Alexander J Millner, Evan M Kleiman, Kate H Bentley, Kelly L Zuromski, Rebecca G Fortgang, Dylan DeMarco, Adam Haim, Abigail Donovan, Ralph J Buonopane, Suzanne A Bird, Jordan W Smoller, Matthew K Nock, Jukka-Pekka Onnela

JMIR Mhealth Uhealth 2024;12:e57439

A Suicide Prevention Digital Technology for Individuals Experiencing an Acute Suicide Crisis in Emergency Departments: Naturalistic Observational Study of Real-World Acceptability, Feasibility, and Safety

A Suicide Prevention Digital Technology for Individuals Experiencing an Acute Suicide Crisis in Emergency Departments: Naturalistic Observational Study of Real-World Acceptability, Feasibility, and Safety

In the United States, emergency departments (EDs) are the front line for suicide prevention, providing psychiatric crisis care for those with acute suicidal ideation [10-12]. Nearly 650,000 people are evaluated for suicide attempts in US EDs annually [13-15]; approximately 1.4 million ED visits annually are for suicidal ideation or deliberate nonsuicidal self-injury [16-18].

Linda A Dimeff, Kelly Koerner, Kandi Heard, Allison K Ruork, Angela Kelley-Brimer, Suzanne T Witterholt, Mary Beth Lardizabal, Joseph R Clubb, Julie McComish, Arpan Waghray, Roger Dowdy, Sara Asad-Pursley, Maria Ilac, Hannah Lawrence, Frank Zhou, Blair Beadnell

JMIR Form Res 2024;8:e52293

Characterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study

Characterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study

In this context and based on literature encouraging the use of digital technology to improve the screening for mental disorders and suicide ideation (SI) [19], we examined the capability of a WBS to identify adolescents and school-aged youth with high levels of psychiatric symptoms and SI. We expected to find that the WBS detects a similar proportion of at-risk individuals compared to a standardized clinical interview.

Susana Campos, Daniel Nuñez, J Carola Pérez, Jo Robinson

JMIR Form Res 2024;8:e57038

Ad Hoc Modifications to a High Dependency Psychiatric Unit for People With Dementia During the COVID-19 Period

Ad Hoc Modifications to a High Dependency Psychiatric Unit for People With Dementia During the COVID-19 Period

Postponement of nonurgent clinic appointments due to reallocating hospital resources for pandemic control and patients’ fear of contracting COVID-19 led to significant delays in treatment and further increased the risk of psychiatric relapses [3]. Reduced physical and cognitive activity from the cessation of dementia daycare programs and limited social engagements due to restricted visits with friends and family further increased social isolation and behavioral exacerbations in people with dementia [4].

Thanita Pilunthanakul, Giles Ming Yee Tan

Interact J Med Res 2024;13:e49618

Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study

Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study

This specific term is local in Japan and is unique enough to be distinguished by other transaction keywords in that most of the traded medications are psychiatric prescription medications. Indeed, to assess the unique attributes of illicit trading using this specific term, the Japanese government has recently funded domestic investigative research [27]. Hence, monitoring of the dynamic methods of illicit trading should routinely be performed.

Hayase Hakariya, Natsuki Yokoyama, Jeonse Lee, Arisa Hakariya, Tatsuki Ikejiri

JMIR Form Res 2024;8:e54023