MétaCan
Menu
Back to cohort
Record W3172581663 · doi:10.1136/leader-2020-000402

Identifying leadership in medical trainees: evaluation of a competency-based approach

2021· article· en· W3172581663 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ Leader · 2021
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British ColumbiaUniversity of Calgary
FundersCumming School of Medicine, University of Calgary
KeywordsPsychologyEthical leadershipLeadershipContext (archaeology)Shared leadershipMedical educationLeadership styleSocial psychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: As medical professional roles diversify, it is essential to understand what makes effective medical leaders. This study develops and validates a medical leadership competency framework that can be used to develop and evaluate leaders across all levels of medical organisations. METHOD: In Phase One, the authors derived desired leadership traits and behaviours in the medical context from a panel of subject matter experts (SMEs). Traits and behaviours were then combined into multifaceted competencies which were ranked and further refined through evaluation with additional SMEs. In Phase Two, the final seven competencies were evaluated with 181 medical trainees and 167 supervisors between 2017 and 2018 to determine the validity of rapid-form and long-form leadership assessments of medical trainees. Self and supervisor reports of the seven competencies were compared with validated trait and leadership behaviour measures as well as clinical performance evaluations. RESULTS: The final seven leadership competencies were: Ethical and Social Responsibility, Civility, Self-Leadership, Team Management, Vision and Strategy, Creativity and Innovation, and Communication and Interpersonal Influence. Results demonstrate initial validity for rapid-form and long-form leadership evaluations; however, perceptions of good leadership may differ between trainees and supervisors. Further, negative leadership behaviours (eg, incivility) are generally not punished by supervisors and some positive leadership behaviours (eg, ethical leadership) were associated with poor leadership and clinical performance evaluations by supervisors. Supervisor perceptions of leadership were significantly driven by trainee scores on social boldness (a facet of extraversion). CONCLUSIONS: A multicompetency framework effectively evaluates leadership in medicine. To more effectively reinforcepositive leadership behaviours and discourage negative leadership behaviours in medical students and resident physicians, we recommend that medical educators:: (1) Use validated frameworks to build leadership curriculum and evaluations. (2) Use short-term and long-term assessment tools. (3) Teach assessors how to evaluate leaders and encourage positive leadership behaviours early in training.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.360
GPT teacher head0.452
Teacher spread0.091 · 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