With its first administration of an Objective Structured Clinical Examination (OSCE) in 2018, the American Board of Anesthesiology (ABA) became the first US medical specialty certifying board to incorporate this type of assessment into its high-stakes certification examination system. The fundamental rationale for the ABA's introduction of the OSCE is to include an assessment that allows candidates for board certification to demonstrate what they actually "do" in domains relevant to clinical practice. Inherent in this rationale is that the OSCE will capture competencies not well assessed in the current written and oral examinations-competencies that will allow the ABA to judge whether a candidate meets the standards expected for board certification more properly. This special article describes the ABA's journey from initial conceptualization through first administration of the OSCE, including the format of the OSCE, the process for scenario development, the standardized patient program that supports OSCE administration, examiner training, scoring, and future assessment of reliability, validity, and impact of the OSCE. This information will be beneficial to both those involved in the initial certification process, such as residency graduate candidates and program directors, and others contemplating the use of high-stakes summative OSCE assessments.
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http://dx.doi.org/10.1213/ANE.0000000000004496 | DOI Listing |
J Psychopharmacol
January 2025
Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Background: Options for 'treatment-resistant bipolar depression' (TRBD) are limited. Two small, short-term, trials of pramipexole suggest it might be an option.
Aims: To evaluate the clinical effectiveness and safety of pramipexole in the management of TRBD.
Cardiooncology
January 2025
Dept of Oncology Tier 2 Canada Research Chair, University of Alberta, Alberta, Canada.
Background: With early detection and improvements in systemic and local therapies, millions of people are surviving cancer, but for some at a high cost. In some cancer types, cardiovascular disease now competes with recurrent cancer as the cause of death. Traditional care models, in which the cardiologist or oncologist assess patients individually, do not address complex cancer and cardiovascular needs.
View Article and Find Full Text PDFBackground: Women involved in the criminal legal system have elevated rates of opioid use disorder, which is treatable, and HIV, which is preventable with pre-exposure prophylaxis (PrEP). There are significant social and structural barriers to integrated delivery of PrEP and medications for opioid use disorder (MOUD), limiting women's ability to access these life-saving interventions. In a two parallel-arm randomized controlled trial, we are assessing an innovative eHealth delivery model that integrates PrEP with MOUD and is tailored to meet the specific needs of women involved in the criminal legal system.
View Article and Find Full Text PDFJ Med Educ Curric Dev
January 2025
Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA.
Introduction: Inpatient psychiatry faculty manage complex clinical, administrative, and legal issues amid increasing mental health service utilization rates, limiting time for (1) focusing on lifelong learning and (2) connecting. We examined the impact of a monthly journal club on inpatient psychiatry faculty's (1) confidence that their practice is evidence informed, (2) stress related to board recertification, and (3) sense of connectedness with peers.
Methods: We employed a primarily qualitative approach using semi-structured interviews and brief survey questions to elicit input from inpatient psychiatry faculty at an academic medical center on their experience participating in a monthly journal club, including perceived changes in one's practice of evidence-based medicine, recertification stress, and connectedness with peers.
JMIR Med Educ
January 2025
Department of Ultrasound, Peking University First Hospital, 8 Xishiku Rd, Xicheng District, Beijing, 100034, China, 86 13132150190, 86 314521.
Background: Artificial intelligence advancements have enabled large language models to significantly impact radiology education and diagnostic accuracy.
Objective: This study evaluates the performance of mainstream large language models, including GPT-4, Claude, Bard, Tongyi Qianwen, and Gemini Pro, in radiology board exams.
Methods: A comparative analysis of 150 multiple-choice questions from radiology board exams without images was conducted.
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