Objective: Simulation stands to serve an important role in modern competency-based programs of assessment in postgraduate medical education. Our objective was to compare the performance of individual emergency medicine (EM) residents in a simulation-based resuscitation objective structured clinical examination (OSCE) using the Queen's Simulation Assessment Tool (QSAT), with portfolio assessment of clinical encounters using a modified in-training evaluation report (ITER) to understand in greater detail the inferences that may be drawn from a simulation-based OSCE assessment.
Methods: A prospective observational study was employed to explore the use of a multicenter simulation-based OSCE for evaluation of resuscitation competence. EM residents from five Canadian academic sites participated in the OSCE. Video-recorded performances were scored by blinded raters using the scenario-specific QSATs with domain-specific anchored scores (primary assessment, diagnostic actions, therapeutic actions, communication) and a global assessment score (GAS). Residents' portfolios were evaluated using a modified ITER subdivided by CanMEDS roles (medical expert, communicator, collaborator, leader, health advocate, scholar, and professional) and a GAS. Correlational and regression analyses were performed comparing components of each of the assessment methods.
Results: Portfolio review and ITER scoring was performed for 79 residents participating in the simulation-based OSCE. There was a significant positive correlation between total OSCE and ITER scores (r = 0.341). The strongest correlations were found between ITER medical expert score and each of the OSCE GAS (r = 0.420), communication (r = 0.443), and therapeutic action (r = 0.484) domains. ITER medical expert was a significant predictor of OSCE total (p = 0.002). OSCE therapeutic action was a significant predictor of ITER total (p = 0.02).
Conclusions: Simulation-based resuscitation OSCEs and portfolio assessment captured by ITERs appear to measure differing aspects of competence, with weak to moderate correlation between those measures of conceptually similar constructs. In a program of competency-based assessment of EM residents, a simulation-based OSCE using the QSAT shows promise as a tool for assessing medical expert and communicator roles.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001706 | PMC |
http://dx.doi.org/10.1002/aet2.10055 | DOI Listing |
Med Intensiva (Engl Ed)
January 2025
Department of Developmental and Educational Psychology, University of Valencia, Spain.
Objectives: The main objective of this study was to evaluate whether the implementation of CoBaTrICE (Competency-Based Training in Intensive Care Medicine in Europe) provides higher levels of competency in comparison with the current official time-based program in Intensive Care Medicine in Spain. Secondary objectives were: 1) To determine the percentage of critical essential performance elements (CEPE) accomplished, 2) To determine compliance with workplace-based assessments (wba).
Design: Multicenter cluster randomized trial.
JMIR Med Educ
November 2024
Graduate Institute of Data Science, Taipei Medical University, Zhonghe District, New Taipei City, Taiwan.
Background: This study explores the cutting-edge abilities of large language models (LLMs) such as ChatGPT in medical history taking and medical record documentation, with a focus on their practical effectiveness in clinical settings-an area vital for the progress of medical artificial intelligence.
Objective: Our aim was to assess the capability of ChatGPT versions 3.5 and 4.
BMC Med Educ
November 2024
Department of Biomedical sciences, Medical College for Girls, Dubai, Dubai, UAE.
Cureus
September 2024
Nursing Department, Nishi Nara Central Hospital, Kyoto, JPN.
Background: The Objective Structured Clinical Examination (OSCE) is widely adopted in nursing education to enhance clinical skills and professionalism. With OSCE, the learning process is important, and students who underwent OSCE felt more confident and better prepared for their next clinical training.
Objectives: This study aims to clarify how the self-efficacy and professional identity of nursing students change after learning through simulation education and OSCE.
JMIR Med Educ
September 2024
Center for Education in Medicine and Health Sciences, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan, Okayama, Japan.
Background: Medical interviewing is a critical skill in clinical practice, yet opportunities for practical training are limited in Japanese medical schools, necessitating urgent measures. Given advancements in artificial intelligence (AI) technology, its application in the medical field is expanding. However, reports on its application in medical interviews in medical education are scarce.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!