Background: Physicians regularly use jargon in patient communication, which can lead to confusion and misunderstanding.
Objective: To assess the general public's understanding of names and roles of medical specialties and job seniority titles.
Designs: Volunteer participants completed an electronic survey, filling-in-the-blanks for 14 medical specialties (e.g., "pediatricians are doctors who take care of _____"), and ranked physician titles in order of experience (medical student, intern, senior resident, fellow, attending).
Setting: The 2021 Minnesota State Fair.
Participants: Volunteers >18 years old without medical or nursing training.
Main Outcome And Measures: We summarized responses with descriptive statistics. Two researchers coded open-ended answers as correct, partially correct, or incorrect, with a third researcher for coding discrepancies.
Results: Two hundred and four participants completed the survey (55% female; mean age 43; 67% of respondents with a bachelor's degree or higher). Of 14 medical specialties listed on the survey, respondents most accurately identified dermatologists (94%) and cardiologists (93%). Six specialties were understood by less than half of the respondents: neonatologists (48%), pulmonologists (43%), hospitalists (31%), intensivists (29%), internists (21%), and nephrologists (20%). Twelve percent of participants correctly identified medical roles in rank order. Most participants (74%) correctly identified medical students as the least experienced. Senior residents were most often identified as the most experienced (44%), with just 27% of respondents correctly placing the attending there. We conclude that medical professionals should recognize that titles are a common source of misunderstanding among the general public and should describe their role when introducing themselves to minimize confusion.
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http://dx.doi.org/10.1002/jhm.12971 | DOI Listing |
J Surg Educ
January 2025
Washington University of St. Louis, Department of Orthopaedic Surgery, St. Louis, Missouri.
Objective: Orthopedic residents are tasked with rapidly acquiring clinical and surgical skills, especially during their PGY-1 year. However, resource constraints and other factors frequently cause skills training to fall short of established guidelines. We aimed to design and evaluate a cross-institutional, month-long curriculum aimed at pooling resources to optimize training.
View Article and Find Full Text PDFJ Surg Educ
January 2025
Department of Sociology, McGill University, Montreal, Quebec, Canada.
Objective: Discussions related to the importance of seeking specific consent for sensitive (e.g., pelvic, rectal) exams performed on anesthetized patients by medical students have been growing.
View Article and Find Full Text PDFAm J Emerg Med
January 2025
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.
Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.
Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.
Am J Emerg Med
January 2025
Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.
Background: The study of the inclusion of new variables in already existing early warning scores is a growing field. The aim of this work was to determine how capnometry measurements, in the form of end-tidal CO2 (ETCO2) and the perfusion index (PI), could improve the National Early Warning Score (NEWS2).
Methods: A secondary, prospective, multicenter, cohort study was undertaken in adult patients with unselected acute diseases who needed continuous monitoring in the emergency department (ED), involving two tertiary hospitals in Spain from October 1, 2022, to June 30, 2023.
Biomed Phys Eng Express
January 2025
Department of Ophthalmology, Hospital Universitario de Canarias, Carretera Ofra S/N, La Laguna, Santa Cruz de Tenerife, 38320, SPAIN.
This paper systematically evaluates saliency methods as explainability tools for convolutional neural networks trained to diagnose glaucoma using simplified eye fundus images that contain only disc and cup outlines. These simplified images, a methodological novelty, were used to relate features highlighted in the saliency maps to the geometrical clues that experts consider in glaucoma diagnosis. Despite their simplicity, these images retained sufficient information for accurate classification, with balanced accuracies ranging from 0.
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