24 research outputs found

    Competency-based simulation assessment of resuscitation skills in emergency medicine postgraduate trainees – a Canadian multi-centred study

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    Background: The use of high-fidelity simulation is emerging as a desirable method for competency-based assessment in postgraduate medical education. We aimed to demonstrate the feasibility and validity of a multi-centre simulation-based Objective Structured Clinical Examination (OSCE) of resuscitation competence with Canadian Emergency Medicine (EM) trainees.Method: EM postgraduate trainees (n=98) from five Canadian academic centres participated in a high fidelity, 3-station simulation-based OSCE.  Expert panels of three emergency physicians evaluated trainee performances at each centre using the Queen’s Simulation Assessment Tool (QSAT).  Intraclass correlation coefficients were used to measure the inter-rater reliability, and analysis of variance was used to measure the discriminatory validity of each scenario.  A fully crossed generalizability study was also conducted for each examination centre.   Results: Inter-rater reliability in four of the five centres was strong with a median absolute intraclass correlation coefficient (ICC) across centres and scenarios of 0.89 [0.65-0.97]. Discriminatory validity was also strong (p < 0.001 for scenarios 1 and 3; p < 0.05 for scenario 2). Generalizability studies found significant variations at two of the study centres.Conclusions: This study demonstrates the successful pilot administration of a multi-centre, 3-station simulation-based OSCE for the assessment of resuscitation competence in post-graduate Emergency Medicine trainees

    The Impact of Electronic Data to Capture Qualitative Comments in a Competency-Based Assessment System

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    Introduction Digitalizing workplace-based assessments (WBA) holds the potential for facilitating feedback and performance review, wherein we can easily record, store, and analyze data in real time. When digitizing assessment systems, however, it is unclear what is gained and lost in the message as a result of the change in medium. This study evaluates the quality of comments generated in paper vs. electronic media and the influence of an assessor's seniority. Methods Using a realist evaluation framework, a retrospective database review was conducted with paper-based and electronic medium comments. A sample of assessments was examined to determine any influence of the medium on the word count and the Quality of Assessment for Learning (QuAL) score. A correlation analysis evaluated the relationship between word count and QuAL score. Separate univariate analyses of variance (ANOVAs) were used to examine the influence of the assessor's seniority and medium on word count, QuAL score, and WBA scores. Results The analysis included a total of 1,825 records. The average word count for the electronic comments (M=16) was significantly higher than the paper version (M=12; p=0.01). Longer comments positively correlated with QuAL score (r=0.2). Paper-based comments received lower QuAL scores (0.41) compared to electronic (0.51; p0.01). Years in practice was negatively correlated with QuAL score (r=-0.08; p0.001) as was word count (r=-0.2; p0.001). Conclusion Digitization of WBAs increased the length of comments and did not appear to jeopardize the quality of WBAs; these results indicate higher-quality assessment data. True digital transformation may be possible by harnessing trainee data repositories and repurposing them to analyze for faculty-relevant metrics

    Belongingness among first-generation students at Stanford School of Medicine [version 1; peer review: 1 approved, 3 approved with reservations]

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    Background Nationally, underrepresented minorities represent a significant proportion of the first-generation student population. These students also tend to report lower levels of belongingness compared to their peers, which may impact their wellness and be an important factor in their academic success. This study aimed to explore whether status as a first-generation student was associated with belongingness amongst medical students. Methods In 2019, a previously validated 16-item survey was used to examine potential disparities in belongingness amongst groups of first-generation medical students. Differences between groups were assessed using a Mann-Whitney U-test for each individual item and three composite groupings of items regarding social belonging, academic belonging, and institutional support. Results First-generation to college and first-generation to graduate school students reported lower belongingness across most individual items as well as in all three composite groups. Conclusions Given that peer relationships and institutional support play an important role in medical student belonging, these findings represent an opportunity to address the specific needs of individuals from underrepresented groups in medicine. Doing so can support the academic and professional success of first-generation students and help close the diversity gap in medicine
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