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- 7 JMIR Formative Research
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- 4 JMIR Mental Health
- 2 JMIR Human Factors
- 2 JMIR mHealth and uHealth
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Recent innovations, such as text messaging support and peer support programs, have emerged as promising adjuncts to conventional care, aiming to prevent psychiatric readmissions and shorten hospital stays [17,18]. These interventions offer scalable, cost-effective, and accessible solutions to enhance recovery and reduce the burden on acute psychiatric services.
JMIR Ment Health 2025;12:e81760
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The global rise in cancer incidence has brought attention to the substantial burden of psychiatric and psychosocial consequences associated with the disease. Research on cancer populations in both Northern [1] and Southern Europe [2,3] affirms that 35%‐40% of patients with cancer exhibit diagnosable psychiatric disorders, as determined by the International Statistical Classification of Diseases and Related Health Problems 10th Revision psychiatric interview [4].
JMIR Cancer 2025;11:e64754
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The therapeutic areas of DTx are diverse, but psychiatric disorders are one of the major targets because of the benefit from cognitive behavioral interventions [9]. In the International Classification of Diseases 11, the clinical trials of DTx for mental, behavioral, and neurodevelopmental disorders have been mostly conducted recently [5].
J Med Internet Res 2025;27:e74905
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Since our research picked Ireland’s MHS as a case study, we finalized our research objectives as follows:
System insights: To gain insight into psychiatric procedures and evaluate how sensitive data are handled within the Irish mental health system.
Stakeholders engagement: Interact and collaborate with different stakeholders, such as psychiatrists, psychologists, and mental health organizations. Document their concerns and establish a feedback loop.
JMIR Hum Factors 2025;12:e64919
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Acoustic and Natural Language Markers for Bipolar Disorder: A Pilot, mHealth Cross-Sectional Study
The Trust includes 2 psychiatric intensive care units, with a total of 27 beds, and also provides community mental health care for the same 280,000 inhabitants of the northern area of the Metropolitan City of Milan through 4 community mental health teams with multidisciplinary staff. The relevant catchment area comprises highly urbanized, both deprived and affluent, districts.
Inclusion criteria comprised a diagnosis of BD and the willingness to participate in the study.
JMIR Form Res 2025;9:e65555
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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.
JMIR Serious Games 2025;13:e56978
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Reference 34: Dissociation in psychiatric disorders: a meta-analysis of studies using the dissociative Reference 59: A randomized trial of dialectical behavior therapy versus general psychiatric managementpsychiatric
JMIR Form Res 2025;9:e66181
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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].
JMIR Mhealth Uhealth 2025;13:e52764
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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.
J Med Internet Res 2024;26:e55736
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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].
JMIR Bioinform Biotech 2024;5:e62752
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