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Record W3111641224 · doi:10.1136/leader-2020-000286

Assessing leadership in junior resident physicians: using a new multisource feedback tool to measure Learning by Evaluation from All-inclusive 360 Degree Engagement of Residents (LEADER)

2020· article· en· W3111641224 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBMJ Leader · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsCronbach's alphaConstruct (python library)Medical educationHealth careQualitative propertyPsychologyNursingTest (biology)Qualitative researchMedicineConstruct validityFamily medicinePatient satisfactionPsychometricsClinical psychology

Abstract

fetched live from OpenAlex

Background The multifaceted nature of leadership as a construct has implications for measuring leadership as a competency in junior residents in healthcare settings. In Canada, the Royal College of Physicians and Surgeons of Canada’s CanMEDS physician competency framework includes the Leader role calling for resident physicians to demonstrate collaborative leadership and management within the healthcare system. The purpose of this study was to explore the construct of leadership in junior resident physicians using a new multisource feedback tool. Methods To develop and test the Learning by Evaluation from All-Inclusive 360 Degree Engagement of Residents (LEADER) Questionnaire, we used both qualitative and quantitative research methods in a multiphase study. Multiple assessors including peer residents, attending physicians, nurses, patients/family members and allied healthcare providers as well as residents’ own self-assessments were gathered in healthcare settings across three residency programmes: internal medicine, general surgery and paediatrics. Data from the LEADER were analysed then triangulated using a convergent-parallel mixed-methods study design. Results There were 230 assessments completed for 27 residents. Based on key concepts of the Leader role, two subscales emerged: (1) Personal leadership skills subscale (Cronbach’s alpha=0.81) and (2) Physicians as active participant-architects within the healthcare system (abbreviated to active participant-architects subscale, Cronbach’s alpha=0.78). There were seven main themes elicited from the qualitative data which were analogous to the five remaining intrinsic CanMEDS roles. The remaining two themes were related to (1) personal attributes unique to the junior resident and (2) skills related to management and administration. Conclusions For healthcare organisations that aspire to be proactive rather than reactive, we make three recommendations to develop leadership competence in junior physicians: (1) teach and assess leadership early in training, (2) empower patients to lead and transform training and care by evaluating doctors, (3) activate frontline care providers to be leaders by embracing patient and team feedback.

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)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.413
GPT teacher head0.446
Teacher spread0.033 · 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