Constructing Approaches to Entrustable Professional Activity Development that Deliver Valid Descriptions of Professional Practice
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.
Bibliographic record
Abstract
Issue: Entrustable Professional Activities (EPAs) describe the core tasks health professionals must be competent performing prior to promotion and/or moving into unsupervised practice. When used for learner assessment, they serve as gateways to increased responsibility and autonomy. It follows that identifying and describing EPAs is a high-stakes form of work analysis aiming to describe the core work of a profession. However, hasty creation and adoption of EPAs without rigorous attention to content threatens the quality of judgments subsequently made from using EPA-based assessment tools. There is a clear need for approaches to identify validity evidence for EPAs themselves prior to their deployment in workplace-based assessment. Evidence: For EPAs to realize their potential in health professions education, they must first be constructed to reflect accurately the work of that profession or specialty. If the EPAs fail to do so, they cannot predict a graduate’s readiness for or future performance in professional practice. Evaluating the methods used for identification, description, and adoption of EPAs through a construct validity lens helps give leaders and stakeholders of EPA development confidence that the EPAs constructed are, in fact, an accurate representation of the profession’s work. Implications: Application of a construct validity lens to EPA development impacts all five commonly followed steps in EPA development: selection of experts; identification of candidate EPAs; iterative revisions; evaluation of proposed EPAs; and formal adoption of EPAs into curricula. It allows curricular developers to avoid pitfalls, bias, and common mistakes. Further, construct validity evidence for EPA development provides assurance that the EPAs adopted are appropriate for use in workplace-based assessment and entrustment decision-making.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it