The link between quality and accreditation of residency programs: the surveyors’ perceptions
Bibliographic record
Abstract
Accreditation of medical residency programs has become globally important. Currently it is moving from the goal of attaining minimal standards to a model of continuous improvement. In some countries, the accreditation system engages peers (physicians) to survey residency programs. The surveyors are sometimes volunteers, usually engaged in multiple clinical and education activities. Few studies have investigated the benefits of residency program evaluation and accreditation from the perspective of the surveyors. As peers they both conduct and receive accreditation surveys, which puts them in a privileged position in that it provides the surveyor with an opportunity to share experiences and knowledge and apply what is learned in their own context. The objective of this study is to obtain the perceptions of these surveyors about the impact of an accreditation system on residency programs. Surveyors participated in semi-structured interviews. A thematic analysis was performed on the interview data, and resulting topics were grouped into five themes: Burden (of documentation and of time needed); Efficiency and efficacy of the accreditation process; Training and experience of surveyors; Being a peer; Professional skills and recognition of surveyors. These categories were organized into two major themes: 'Structure and Process' and 'Human Resources'. The study participants proposed ways to improve efficiency including diminish the burden of documentation to the physicians involved in the process and to increase efforts on training programs and payment for surveyors and program directors. Based on the results we propose a conceptual framework to improve accreditation systems. ABBREVIATIONS: PD: Program director.
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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 | 0.034 | 0.103 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".