A qualitative exploration: questioning multisource feedback in residency education
Bibliographic record
Abstract
BACKGROUND: Multisource feedback (MSF), involves the collection of feedback from multiple groups of assessors, including those without a traditional hierarchal responsibility to evaluate doctors. Allied healthcare professionals (AHCPs), administrative staff, peers, patients and their families may all contribute to the formative assessment of physicians. Theoretically, this feedback provides a thorough view of physician performance; however, the ability of MSF programs to consistently impact physician behavior remains in question. Therefore, the objective of this study was to explore perceptions and prerequisites to an effective MSF program in postgraduate medical education from the perspectives of both pediatric residents and AHCPs. METHODS: This exploratory study was conducted in a pediatric inpatient unit prior to implementation of a MSF program. Focus groups were conducted with purposefully recruited participants from three distinct groups: junior pediatric residents, senior pediatric residents, and AHCPs. Discussions were audio recorded, transcribed verbatim and analyzed using thematic analysis. RESULTS: Both residents and AHCPs expressed a strong interest in the concept of MSF. However, more in depth discussions identified barriers to residents' acceptance of, and AHCPs' provision of feedback. Roles and responsibilities, perceptions of expertise, hospital culture/interprofessionalism and power dynamics were identified as barriers to the acceptance and provision of feedback. All groups expressed interest in opportunities to engage in bi-directional feedback. CONCLUSIONS: The identified barriers and prerequisites to providing and accepting MSF suggest limits to the efficacy of the MSF process. Our findings suggest that these factors should be considered in the design and implementation of MSF programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.053 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".