Background And Hypothesis: Psychosis-associated diagnostic codes are increasingly being utilized as case definitions for electronic health record (EHR)-based algorithms to predict and detect psychosis. However, data on the validity of psychosis-related diagnostic codes is limited. We evaluated the positive predictive value (PPV) of International Classification of Diseases (ICD) codes for psychosis.
View Article and Find Full Text PDFBackground And Hypothesis: Early detection of psychosis is critical for improving outcomes. Algorithms to predict or detect psychosis using electronic health record (EHR) data depend on the validity of the case definitions used, typically based on diagnostic codes. Data on the validity of psychosis-related diagnostic codes is limited.
View Article and Find Full Text PDFObjectives: The COVID-19 pandemic has been associated with sleep quality impairment and psychological distress, and the general public has responded to the pandemic and quarantine requirements in a variety of ways. We aimed to investigate whether sleep quality is low during a short-term (circuit break) quarantine restriction, and whether sleep quality is associated with respondents' overall attitudes to the pandemic using a validated scale.
Design And Setting: Online cross-sectional study in England in November 2020.
Individuals with schizophrenia are over three times more likely to have problem and pathological gambling (PPG) than the general population (Cunningham-Williams et al., 1998; Desai and Potenza, 2009), but little is known about this co-occurrence and how PPG relates to specific symptom dimensions of psychotic disorders. Although cognitive distortions in PPG have been linked to gambling motivations (e.
View Article and Find Full Text PDFThe application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on study participants coupled with advances in statistical techniques that enable machine learning models to process such information has raised novel ethical dilemmas regarding researchers' duties to: (i) monitor adverse events and intervene accordingly; (ii) obtain fully informed, voluntary consent; (iii) protect the privacy of participants; and (iv) increase the transparency of powerful, machine learning models to ensure they can be applied ethically and fairly in psychiatric care. This review highlights emerging ethical challenges and unresolved ethical questions in mobile health research and provides recommendations on how mobile health researchers can address these issues in practice.
View Article and Find Full Text PDFImpaired cognition and amotivation are considered core features of psychotic disorders. Amotivation may manifest as reduced willingness to expend effort on cognitive tasks. It remains unclear whether reduced effort is responsible for any of the observed cognitive deficits in these patients, as we do not generally assess continuous effort during testing.
View Article and Find Full Text PDFWith peer supporters now comprising one of the most rapidly growing components of the mental health workforce, group interventions that combine their expertise with those of more traditional mental health providers are needed. An example of one such intervention, developed and implemented at a large community mental health center for individuals with serious mental illnesses, is presented. Called a "Home Group" and co-led by peers and clinical psychology interns, this intervention provides unique learning opportunities for peers and trainees and many potential benefits to group members.
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