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http://dx.doi.org/10.1055/s-2007-1024181 | DOI Listing |
BMC Health Serv Res
January 2025
Department Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
Introduction: Care transitions, specifically hospital discharge, hold a risk for drug-related problems and medication errors. Effective interventions that optimise medication use during and after transitions are needed, yet there is no standardisation of the outcomes. This literature review aimed at collecting outcomes from studies investigating how to optimise medication use of patients following hospital discharge, and to categorise them, as a first step in the development of a core outcome set.
View Article and Find Full Text PDFJ Neuroophthalmol
January 2025
Faculty of Medicine (DR), Tel Aviv University, Tel Aviv, Israel; Departments of Ophthalmology and Visual Sciences (LBD), University of Michigan, Ann Arbor, Michigan; and Department of Ophthalmology and Vision Science (EM), University of Toronto, Toronto, Canada.
Background: In the aftermath of an adverse event, the first priority is to provide care for the patient, known as the first victim. However, the experiences of healthcare professionals (HCPs) involved in these events, known as "second victims", have been largely overlooked. This review aims to consolidate existing knowledge on second victim syndrome (SVS), explore its unique implications for neuro-ophthalmologists, and suggest support strategies to increase awareness and meet the needs of affected colleagues.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
View Article and Find Full Text PDFRadiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
View Article and Find Full Text PDFJMIR Hum Factors
January 2025
Center for Research and Innovation in Systems Safety, Department of Anesthesiology, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, 37203, United States, 16153431528.
Background: Only 15% of the nearly 30 million Americans with hearing loss use hearing aids, partly due to high cost, stigma, and limited access to professional hearing care. Hearing impairment in adults can lead to social isolation and depression and is associated with an increased risk of falls. Given the persistent barriers to hearing aid use, the Food and Drug Administration issued a final rule to allow over-the-counter hearing aids to be sold directly to adult consumers with perceived mild to moderate hearing loss at pharmacies, stores, and online retailers without seeing a physician or licensed hearing health care professional.
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