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Knowledge translation initiatives at the Transitional Pain Service: insights from healthcare provider outreach and patient education.
BMC Health Serv Res
January 2025
Pain Research Unit, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, Toronto, ON, Canada.
Evidence-based treatment of chronic pain requires a multidisciplinary approach grounded in the biopsychosocial model. Implementing this approach within health systems relies on its acceptance by both healthcare providers and patients. While pioneering multidisciplinary pain clinics can serve as a model for implementation, a systematic effort is needed to share knowledge effectively and broadly.
View Article and Find Full Text PDFIbuprofen reduces inflammation, necroptosis and protects photoreceptors from light-induced retinal degeneration.
J Neuroinflammation
January 2025
Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21231, USA.
Background: The retinal degenerative diseases retinitis pigmentosa (RP) and atrophic age- related macular degeneration (AMD) are characterized by vision loss from photoreceptor (PR) degeneration. Unfortunately, current treatments for these diseases are limited at best. Genetic and other preclinical evidence suggest a relationship between retinal degeneration and inflammation.
View Article and Find Full Text PDFA randomised controlled implementation trial of the feasibility and effectiveness of school staff delivery of a selective substance use and mental health program during the COVID-19 pandemic.
BMC Public Health
January 2025
The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building, Sydney, NSW, 2006, Australia.
Background: Preventure is a selective school-based personality-targeted program that has shown long-term benefits in preventing student alcohol use, internalising and externalising problems when delivered by psychologists. In this first Australian randomised controlled trial of school staff implementation of Preventure, we aimed to examine i) acceptability, feasibility, and fidelity and ii) effectiveness of Preventure on student alcohol use, internalising, and externalising symptoms.
Methods: A cluster-randomised controlled implementation trial was conducted in Sydney, Australia and was guided by the RE-AIM framework (Glasgow et al.
Dental and oral health assessments in the German National Cohort (NAKO).
BMC Oral Health
January 2025
Department of Restorative Dentistry, Periodontology and Endodontology, University Medicine Greifswald, Greifswald, Germany.
Background: Despite considerable improvements in oral health in recent decades, caries and periodontitis are still widespread, ranking among the most prevalent diseases worldwide and requiring future research. The German National Cohort (NAKO Gesundheitsstudie, NAKO) is a large-scaled, multidisciplinary, nationwide, multi-centre, population-based, prospective cohort study with oral examinations that aims to provide a resource to study risk factors for major diseases. The aim of the present article is to provide the methodological background, to report on the data quality, and to present initial results of the oral examinations.
View Article and Find Full Text PDFThe interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach.
BMC Psychiatry
January 2025
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.
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