Mental health professionals are tasked with making difficult clinical decisions in treatment settings. In the forensic system, decision making regarding staff supervised community outings (SSCOs) provides a significant challenge due to the need to balance patient liberties, mental health recovery, and public safety. This study explored the characteristics and rehabilitative nature of SSCOs, characteristics of patients attending SSCOs, and any adverse events that occurred during the outings. Employing a cross-sectional design, 110 patients who participated in SSCOs over a one-year period from a Canadian Forensic Psychiatric Hospital were included. Clinical records were reviewed to capture patient and SSCO variables. Descriptive analyses were used to calculate participant, risk, SSCO, and adverse event characteristics. Qualitative analysis was used to explore the purpose of SSCOs and rehabilitative progress that occurred during the outings. Patients attending SSCOs were comprised of long-stay patients with over half having committed a violent index offence. Almost 75% of patients had a moderate/high risk for violence and 50% of the patients had a moderate/high risk of absconding. During the study period, 463 SSCOs were completed. Most outings focused on developing skills for daily living and staff comments suggested many patients developed skills in these areas. Despite considerable risk profiles and public concern regarding forensic patients having community access, there was a single occurrence of unauthorized leave and no instances of violence or substance use. This research can disrupt stigma, demonstrating that SSCOs support a specific rehabilitative intent, promote community reintegration, and maintain public safety.
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http://dx.doi.org/10.3389/fpsyt.2024.1382676 | DOI Listing |
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFJ Prim Care Community Health
January 2025
Instituto de Investigación Biomédica de Málaga, Málaga, Spain.
Aim: To investigate the detection and initial management of first psychotic episodes, as well as established schizophrenia, within the primary care of the Andalusian Health System.
Background: Delay in detecting and treating psychosis is associated with slower recovery, higher relapse risk, and poorer long-term outcomes. Often, psychotic episodes go unnoticed for years before a diagnosis is established.
Personal Disord
January 2025
Laboratoire sur les Interactions Cognition, Action, Émotion (LICAE), UFR STAPS, Universite Paris-Nanterre.
This study aimed to assess measurement invariance for the Five-Factor Inventory for (Oltmanns & Widiger, 2020) across nine national samples from four continents ( = 6,342), and to validate a French translation in seven French-speaking national samples. All were convenience samples of adults. Exploratory factor analyses supported a four-factor structure in the French-speaking Western samples (Belgium, Canada, France, and Switzerland) while a three-factor structure was preferred in the French-speaking African samples (Burkina Faso and Togo), and no adequate structure was found in the Indian sample.
View Article and Find Full Text PDFPersonal Disord
January 2025
Department of Psychological Science, Kent State University.
Antagonism is a personality domain located in most major trait models and is central to multiple personality disorders. This construct has been linked to many societally harmful externalizing behaviors (e.g.
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