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Matching Into Integrated Plastic Surgery: The Impact of USMLE Step 1 Transition to Pass/Fail: Did the 2019 Predictions Come True in 2024?
Plast Reconstr Surg Glob Open
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Department of Plastic and Reconstructive Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
Background: The first class of integrated plastic surgery residency applicants with pass/fail (P/F) step 1 assessments occurred during the 2023-2024 Match cycle. This study analyzes the results of a 2024 postmatch survey to program directors (PDs) regarding the impact of the conversion to P/F step 1 scoring and compares the results to the 2019 survey that attempted to predict how this conversion would influence decision-making when it was initially announced.
Methods: A 26-item survey evaluating PDs' perspectives on applicant characteristics and the application process following P/F step 1 scoring was distributed March 2024.
Preference signaling in orthopaedic surgery: applicant perspectives and opinions.
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Department of Orthopaedic Surgery, Oklahoma State University Medical Center, Tulsa, OK, USA.
Context: Orthopaedic surgery has become increasingly competitive over the years, with the COVID-19 pandemic creating additional challenges for applicants and programs. To promote an equitable match experience, the American Orthopaedic Association (AOA) introduced a formal preference signaling (PS) system into the 2022-2023 application cycle. PS allows applicants to indicate their heightened interest in specific programs, which improves the likelihood of receiving an interview and ultimately matching at their desired residency program.
View Article and Find Full Text PDFVideo-based peer assessment of collaborative teamwork in a large-scale interprofessional learning activity.
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Education, Learning and Assessment, Royal Australian College of Physicians, Executive General Manager, Sydney, NSW, Australia.
Background: The assessment of team performance within large-scale Interprofessional Learning (IPL) initiatives is an important but underexplored area. It is essential for demonstrating the effectiveness of collaborative learning outcomes in preparing students for professional practice. Using Kane's validity framework, we investigated whether peer assessment of student-produced videos depicting collaborative teamwork in an IPL activity was sufficiently valid for decision-making about team performance, and where the sources of error might lie to optimise future iterations of the assessment.
View Article and Find Full Text PDFThe Transition from Letter Grading to Modified Pass-Fail Grading at a College of Veterinary Medicine: A Narrative Inquiry of Student Experiences.
J Vet Med Educ
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North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, NC 27607, USA.
Compared with traditional letter grading, pass/fail grading is an assessment approach that can alter the educational environment and enhance student wellbeing without compromising education quality. Little is known about the experiences of students during the transition from traditional grading to pass/fail grading. The onset of the COVID-19 pandemic resulted in an abrupt move to modified pass-fail (MPF) grading at North Carolina State University College of Veterinary Medicine (NCSU-CVM), followed by a decision to permanently adopt MPF grading for the entire core pre-clinical doctor of veterinary medicine (DVM) curriculum.
View Article and Find Full Text PDFThe potential of decision trees as a tool to simplify broiler chicken welfare assessments.
Sci Rep
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Department of Animal Production, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), N-104, km. 355, 01192, Arkaute, Spain.
To simplify fast-growth broiler welfare assessments and use them as a benchmarking tool, decision trees were used to identify iceberg indicators discriminating flocks passing/failing welfare assessments as with the complete AWIN protocol. A dataset was constructed with data from 57 flocks and 3 previous projects. A final flock assessment score, previously not included in the dataset, was calculated and used as the benchmarking assessment classifier (pass/fail).
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