Further validation of the MUSIC® Model of Motivation Inventory (MMI) for use in Cognitive Remediation (CR) for schizophrenia is needed. The MMI was compared to the Intrinsic Motivation Inventory - Schizophrenia Research and Perceived Competency Scale following early treatment exposure in a CR clinical trial. MMI Usefulness, Success, and Interest scales were significantly correlated with corresponding comparison scales. The MMI was not correlated with pre-morbid cognitive ability. Higher expectancy for success and perceived usefulness were significantly associated with greater intensity of session attendance. Results support the convergent, divergent, and predictive validity of the MMI for CR research and clinical use.
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http://dx.doi.org/10.1016/j.schres.2019.12.027 | DOI Listing |
Int Wound J
January 2025
Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK.
Preventing recurrence of venous leg ulcers can be achieved through strongest tolerated compression and endo-venous ablation surgery, but it is not clear how often this is done in practice. This study explores (1) nurses' awareness of strongest tolerated compression and endo-venous ablation surgery as prophylactic treatments for venous leg ulcer, (2) how often these treatments are offered, and (3) assessment of the barriers and enablers to deploying those treatments using the capabilities, opportunities and motivations model of behaviour change. An online cross-sectional survey was conducted among nurses who treat and manage venous leg ulcers across the United Kingdom.
View Article and Find Full Text PDFSensors (Basel)
January 2025
University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.
The possibilities of the Ambient Assisted Living (AAL)/Enhanced Living Environments (ELE) concept in the environment of a smart home were investigated to improve accessibility and improve the quality of life of a person with disabilities. This paper focuses on the concept of predictive information for a person with disabilities in a smart home environment concept where artificial intelligence (AI) and machine learning (ML) systems use data on the user's preferences, habits, and possible incident situations. A conceptual mathematical model is proposed, the purpose of which is to provide predictive user information from defined data sets.
View Article and Find Full Text PDFRespir Res
January 2025
School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Introduction And Objectives: High flow nasal cannula (HFNC) therapy is an increasingly popular mode of non-invasive respiratory support for the treatment of patients with acute hypoxemic respiratory failure (AHRF). Previous experimental studies in healthy subjects have established that HFNC generates flow-dependent positive airway pressures, but no data is available on the levels of mean airway pressure (mP) or positive end-expiratory pressure (PEEP) generated by HFNC therapy in AHRF patients. We aimed to estimate the airway pressures generated by HFNC at different flow rates in patients with AHRF, whose functional lung volume may be significantly reduced compared to healthy subjects due to alveolar consolidation and/or collapse.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Deakin Optometry, School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds , VIC, 3216, Australia.
Background: Clinical reasoning is a professional capability required for clinical practice. In preclinical training, clinical reasoning is often taught implicitly, and feedback is focused on discrete outcomes of decision-making. This makes it challenging to provide meaningful feedback on the often-hidden metacognitive process of reasoning to address specific clinical reasoning difficulties.
View Article and Find Full Text PDFAppl Ergon
January 2025
Section of Emergency Medicine, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
We examined fatigue among emergency department (ED) clinicians. ED clinicians are susceptible to burnout, because of fatigue. Fatigue represents a latent hazard in ED care, being associated with impaired clinician performance, poor patient outcomes, and a negative impact on patient safety.
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