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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 PDFIdentification of strengths and weaknesses of the healthcare system for persons living with rare diseases in Catalonia (Spain), and recommendations to improve its comprehensive attention: the "acERca las enfermedades raras" project.
Orphanet J Rare Dis
January 2025
Laboratory of Neurogenetics and Molecular Medicine, Center for Genomic Sciences in Medicine, Institut de Recerca Sant Joan de Déu, Únicas SJD Center, Hospital Sant Joan de Déu, Barcelona, Spain.
Background: Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. In addition, for most RDs, few to no treatments are available and it is often difficult to find a specialized care team.
Objectives: The project "acERca las enfermedades raras" (in English: "bringing RDs closer") is an initiative primary designed to generate a consensus by a multidisciplinary group of experts to detect the strengths and weaknesses in the public healthcare system concerning the comprehensive care of persons living with a RD (PLWRD) in the region of Catalonia, Spain, where a Network of Clinical Expert Units (Xarxa d'Unitats de Expertesa Clínica or XUEC) was created and is being implemented since 2015.
Cardiovascular disease, bone fracture, and all-cause mortality risks among postmenopausal women by arthritis and veteran status: A multistate Markov transition analysis.
Geroscience
January 2025
U.S. Department of Veterans Affairs, VA National Center On Homelessness Among Veterans, Washington, DC, USA.
Arthritis, a chronic inflammatory condition linked to cardiovascular disease (CVD) and bone fracture, is more frequent among military veterans and postmenopausal women. This study examined correlates of arthritis and relationships of arthritis with risks of developing CVD, bone fractures, and mortality among postmenopausal veteran and non-veteran women. We analyzed longitudinal data on 135,790 (3,436 veteran and 132,354 non-veteran) postmenopausal women from the Women's Health Initiative who were followed-up for an average of 16 years between enrollment (1993-1998) and February 17, 2024.
View Article and Find Full Text PDFMulti-tasking costs in triple-task performance despite dual-task preparation.
Mem Cognit
January 2025
Department of Human Sciences, Institute of Psychology, General Psychology, University of the Bundeswehr Munich, Werner-Heisenberg-Weg 39, 85577, Neubiberg, Germany.
This study explores multi-tasking by examining the effects of transitioning from dual-task to triple-task scenarios. Our research extends beyond conventional dual-task paradigms to investigate the impact of triple-task performance on two participant groups: those unprepared in single, dual, or triple tasks (N = 14) and those previously prepared in single and dual tasks (N = 13). The study consisted of a preparation phase with nine sessions and an assessment phase with eight sessions.
View Article and Find Full Text PDFA network-based analysis anticipates time to recovery from major depression revealing a plasticity by context interplay.
Transl Psychiatry
January 2025
Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Predicting disease trajectories in patients with major depressive disorder (MDD) can allow designing personalized therapeutic strategies. In this study, we aimed to show that measuring patients' plasticity - that is the susceptibility to modify the mental state - identifies at baseline who will recover, anticipating the time to transition to wellbeing. We conducted a secondary analysis in two randomized clinical trials, STAR*D and CO-MED.
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