Background: As the opioid epidemic continues, it behooves healthcare systems and practitioners to examine factors affecting access to care and treatment, as well as understand patient perceptions of opioid use disorder (OUD).
Methods: This was a cross-sectional sample of 124 patients with an OUD diagnosis identified using International Classification of Disease codes in electronic health records. Patients responded to a qualitative survey regarding self-perceptions and history of OUD, alcohol, and substance use.
Results: A total of 46 percent of the patients who had an OUD diagnosis in their medical record denied having OUD.
Discussion: This showed clear differences between provider and patient perceptions, as well as potential system error. To reduce stigma as well as ensure proper pain management, providers and patients need clear and transparent individualized care plans for each patient with an OUD diagnosis, as well as a frequent review of electronic records and diagnoses.
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http://dx.doi.org/10.5055/jom.0877 | DOI Listing |
J Med Internet Res
January 2025
Institute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.
Background: Objective structured clinical examinations (OSCEs) are a widely recognized and accepted method to assess clinical competencies but are often resource-intensive.
Objective: This study aimed to evaluate the feasibility and effectiveness of a virtual reality (VR)-based station (VRS) compared with a traditional physical station (PHS) in an already established curricular OSCE.
Methods: Fifth-year medical students participated in an OSCE consisting of 10 stations.
Otol Neurotol
February 2025
Department of Surgery, Section of Otolaryngology-Head and Neck Surgery, University of Chicago Medicine, Chicago, Illinois.
Objective: This study aims to evaluate the potential association of perioperative hearing outcomes with frailty by Modified 5-Item Frailty Index (mFI-5).
Design: Retrospective cross-sectional study.
Setting: Single-institutional study conducted at a tertiary care hospital between January 2018 and January 2022.
PLoS One
January 2025
Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Purpose: A relative afferent pupillary defect (RAPD) is a characteristic clinical sign of optic neuritis (ON). Here, we systematically evaluated ultrasound pupillometry (UP) for the detection of an RAPD in patients with ON, including a comparison with infrared video pupillometry (IVP), the gold standard for objective pupillometry.
Materials And Methods: We enrolled 40 patients with acute (n = 9) or past (n = 31) ON (ON+), 31 patients with multiple sclerosis (MS) without prior ON, and 50 healthy controls (HC) in a cross-sectional observational study.
Disabil Rehabil
January 2025
Amsterdam Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Purpose: (1) To evaluate the effectiveness of personalised psychologically-informed physiotherapy in people with neck pain; (2) To explore the mediating role of changes in illness perceptions.
Method: In this replicated single-case study, 14 patients with non-specific neck pain at risk for chronicity received a personalised intervention addressing unhelpful illness perceptions and dysfunctional movement behaviour, according to principles of cognitive functional therapy. Outcomes included the mediating role of illness perceptions on overall effect, function, pain intensity and self-efficacy.
JAMA Netw Open
January 2025
Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Importance: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-corrected VA without technician costs, reduce visit time, or facilitate home monitoring of VA from fundus images obtained outside of the clinic.
Objective: To estimate spectacle-corrected VA measured on a standard eye chart among patients with diabetic macular edema (DME) in clinical practice settings using previously validated AI algorithms evaluating best-corrected VA from fundus photographs in eyes with DME.
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