Community-Based Outpatient Clinics (CBOCs) allow delivery of primary care to rural veterans who are far from a main Veterans Affairs (VA) campus. However, CBOCs often do not have physicians with geriatric training. We used a clinical video telehealth (CVT) dementia service (Teledementia clinic) based in the Pittsburgh VA Healthcare System to optimize dementia patients' medications and potentially inappropriate medications (PIMs). We analyzed 199 CVT patient encounters from 1 January 2016 to 31 December 2016 and compared different medication changes per encounter between the initial CVT consults and the follow-up visits for all medications and PIMs as listed in the 2015 Beers Criteria, to see if there was a decrease of each kind of change, which is being used as a surrogate for optimization. We found that initial CVT consults, compared to follow-up visits, had greater medications added (0.731 vs. 0.434, = 0.0092), total overall medications changes (1.769 vs. 1.130, = 0.0078), and the stopping of 2015 Beers Criteria PIMs (0.208 vs. 0.072, = 0.0255) per encounter. The fewer PIMs discontinued and fewer medication additions in follow-ups implies that our patients' medications tend to stay optimized between visits. The teledementia service represents a novel way to provide geriatric assistance to CBOC VA primary care physicians for rural veterans with dementia.
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http://dx.doi.org/10.3390/geriatrics3030044 | DOI Listing |
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Department of Medicine, Division of General Internal Medicine, University of Washington/Harborview Medical Center, 325 9Th Avenue, Box 359780, Seattle, WA, 98104, USA.
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Black Dog Institute, University of New South Wales, Sydney, NSW, Australia.
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Faculty of Applied Medical Sciences in Alnamas, University of Bisha, 255, Al Nakhil, Al-Namas, 67714, Saudi Arabia.
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View Article and Find Full Text PDFJ Clin Monit Comput
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Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 3, 5612 AZ, Eindhoven, the Netherlands.
Unobtrusive pulse rate monitoring by continuous video recording, based on remote photoplethysmography (rPPG), might enable early detection of perioperative arrhythmias in general ward patients. However, the accuracy of an rPPG-based machine learning model to monitor the pulse rate during sinus rhythm and arrhythmias is unknown. We conducted a prospective, observational diagnostic study in a cohort with a high prevalence of arrhythmias (patients undergoing elective electrical cardioversion).
View Article and Find Full Text PDFBMJ Open
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Cardiac Rehabilitation, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Background: This qualitative evaluation was embedded in the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) study, a randomised controlled trial (RCT) for those with post-COVID-19 condition ('long COVID') after hospital admission for COVID-19, comparing weekly home-based, live online supervised group exercise and psychological support sessions with 'best practice usual care' (a single session of advice).
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