Publications by authors named "R C Morell"
Aim: Accurate and appropriate cognitive screening can significantly enhance early psychosis care, yet no screening tools have been validated for the early psychosis population and little is known about current screening practices, experiences, or factors that may influence implementation. CogScreen is a hybrid type 1 study aiming to validate two promising screening tools with young people with first episode psychosis (primary aim) and to understand the context for implementing cognitive screening in early psychosis settings (secondary aim). This protocol outlines the implementation study, which aims to explore the current practices, acceptability, feasibility and determinants of cognitive screening in early psychosis settings from the perspective of key stakeholders.
View Article and Find Full Text PDFCorrection: Physical activity and sedentary behavior levels among individuals with mental illness: A cross-sectional study from 23 countries.
PLoS One
December 2024
[This corrects the article DOI: 10.1371/journal.pone.
View Article and Find Full Text PDFArticle Synopsis
- * In experiments on mice and human subjects, Dex-CI showed a significant reduction in electrical impedance and inflammatory response compared to standard implants.
- * Locally delivered dexamethasone (Dex-local) was found to be ineffective for long-term improvement, indicating that Dex-CI is a better option than current clinical practices for reducing inflammation and improving implant performance.
Article Synopsis
- - Digital technologies show potential for improving health, but their application for young people with mental illnesses is not fully understood.
- - A study involving 492 young people with mental illness tested four types of health apps, revealing a strong preference for tracking physical activity, sleep, and diet.
- - Participants suggested that ideal apps should integrate physical and mental health tracking and feature expert-led content, highlighting a lesser interest in sharing data with healthcare providers.
Objective: To examine the accuracy and likely clinical usefulness of the Psychosis Metabolic Risk Calculator (PsyMetRiC) in predicting up-to six-year risk of incident metabolic syndrome in an Australian sample of young people with first-episode psychosis.
Method: We conducted a retrospective study at a secondary care early psychosis treatment service among people aged 16-35 years, extracting relevant data at the time of antipsychotic commencement and between one-to-six-years later. We assessed algorithm accuracy primarily via discrimination (C-statistic), calibration (calibration plots) and clinical usefulness (decision curve analysis).