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Board 390 - Research Abstract Assessment of the Challenging CanMEDS Competencies

2013· article· en· W2334663125 on OpenAlexaffabout
Victor M. Neira, Amy Nakajima, Jocelyne McKenna, Tobias Everett, Kathleen Doyle, Megan A. Hayter, Elaine Ng, Philipp Mossdorf, Stanley J. Hamstra

Bibliographic record

VenueSimulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2013
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsHospital for Sick ChildrenOttawa HospitalChildren's Hospital of Eastern OntarioUniversity of OttawaUniversity of AlbertaSt. Michael's Hospital
Fundersnot available
KeywordsMedical educationLikert scaleConstruct (python library)Construct validityPsychologyCore competencyObjective structured clinical examinationMedicineNursingComputer scienceManagementPatient satisfaction

Abstract

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Introduction/Background The Royal College of Physicians and Surgeons of Canada developed the Canadian Medical Directives for Specialist (CanMEDS) with seven core competencies: Medical Expert (ME) and six Intrinsic competencies Communicator, Collaborator, Manager, Health Advocate, Scholar and Professional. Competency of Professional, Health Advocate and Scholar (PHAS) CanMEDS competencies are difficult to define and assess during clinical practice and in simulations, in contrast to Medical Expert (ME) and other Intrinsic competencies. Our objective was to collect evidence to support construct validity of revised Generic Integrated Objective Structured Assessment Tool (GIOSAT) including content, response process, internal structure, relation to other variables and consequences using simulated scenarios targeting PHAS competencies. Research Question: Can we collect evidence to support construct validity for Professional, Health Advocate and Scholar CanMEDS competencies assessment Results for anesthesia residents performing two simulation scenarios using the Generic Integrated Objective Structured Assessment Tool and four trained blinded raters? Methods REB approval and informed consent was obtained for a prospective single blind correlation study. Twenty one anesthesia residents rotating at the University of Ottawa volunteered in this study where each of them performed both scenarios as the primary physician to manage the situation. Content: Two simulation scenarios: Do-not resuscitate (DNR) and Morphine overdose (MOD) with disclosure, were developed by a panel of experts highlighting PHAS competencies.1-3 GIOSAT is divided in two sections ME with eight items and Intrinsic with six items. Each item has abbreviated anchors and is scored with a Likert rating scale (1=very poor to 6=very good). Response process: Pilot scenarios performed by actors at optimal and sub-optimal level of performance were used to train four the raters from different institution blinded from residents identity. Raters rules were created to define borderline performances. Twenty one anesthesia residents volunteered to participate as primary physicians to manage the simulation scenarios. Internal structure was analyzed with inter-rater intra-class correlations (ICCs) and generalizability studies for ME and intrinsic and also for ME and PHAS. Relation with other variables: Comparison between scenario scores was performed with Student’s t -test. Our primary outcome was the correlations between post-graduate year of residency (PGY) and average PHAS, Intrinsic, Medical Expert and Total scores. The secondary outcome was the correlation between PHAS scores with Intrinsic, ME and total GIOSAT scores. Results ICCs for PHAS, Intrinsic, Medical Expert (ME) and total scores single measures were moderate in both scenarios (.42-.68, p<.000), and for average scores (were substantial to almost perfect (.76-.88. p<.000). Participant (p) accounted for 23% of variance and 20% for PHAS. Scenario (s) and raters (r) did not account for important variation component (VC) but the interaction between ps and psr accounted for 14 and 19 %VC for ME and Intrinsic respectively. G-study for PHAS had similar Results with ps accounting for 7% VC and psr accounting for 17% VC. (Table 1) G-coefficient for the Intrinsic was .64 and .66 for PHAS. Two raters and eight scenarios using ME and Intrinsic are required to obtain a G-coefficient >.8. Two raters and eleven scenarios using ME and PHAS are required to obtain a G-coefficient >.8.(Table 2) PGY correlated with PHAS (r=.59, p=.004), Intrinsic (r= .65, p=.002) and total scores (r=.46, p=.034) but not with ME (r= .26, p=.25). PHAS scores significantly correlated with and Intrinsic (r=.98, p<.000), ME (r= .7, p<.001) and Total (r=.89, p<.000). Conclusion Our study demonstrates construct validity evidence for assessing PHAS and Intrinsic competencies using clinical simulation with a G-coefficient of .64. Future studies with similar methodology may support construct validity at high stakes level using two raters and eight or more scenarios. References 1. Frank, J. (2005). The CanMEDS 2005 Physician Competency Framework Edited by Royal College of Physicians and Surgeons od Canada. Available from URL: http://www.rcpsc.medical.org. 2. Neira, V. M., Bould, M. D., Nakajima, A., Boet, S., Barrowman, N., Mossdorf, P., … Hamstra, S. J. (2013). “GIOSAT”: a tool to assess CanMEDS competencies during simulated crises. Canadian journal of anaesthesia. 3. Lynch, D. C., Surdyk, P. M., & Eiser, A. R. (2004). Assessing professionalism: a review of the literature. Medical teacher, 26(4), 366–73. 4. Ponton-Carss, A., Hutchison, C., & Violato, C. (2011a). Assessment of communication, professionalism, and surgical skills in an objective structured performance-related examination (OSPRE): a psychometric study. American journal of surgery, 202(4), 433–40. 5. Morrison, L. J., Kierzek, G., Diekema, D. S., Sayre, M. R., Silvers, S. M., Idris, A. H., & Mancini, M. E. (2010). Part 3: ethics: 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation, 122(18 Suppl 3), S665–75. 6. Syed, S., Paul, J. E., Hueftlein, M., Kampf, M., & McLean, R. F. (2006). Morphine overdose from error propagation on an acute pain service. Canadian journal of anaesthesia. 7. The Canadian Medical Protective Association. (2008). Communicating with your patient about harm DISCLOSURE ROAD MAP. Retrieved from www.cmpa-acpm.ca. Disclosures None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.093
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0930.017

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.141
GPT teacher head0.481
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2013
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