Don’t let up: implementing and sustaining change in a new post-licensure education model for developing extended role practitioners involved in arthritis care
Bibliographic record
Abstract
KEY MESSAGE: Across a 9-year period, the Advanced Clinician Practitioner in Arthritis Care program has achieved a set of short-term "wins" giving direction and momentum to the development of new roles for health care practitioners providing arthritis care. IMPLICATION: This is a viable model for post-licensure training offered to multiple allied health professionals to support the development of competent extended role practitioners (extended scope practice). Challenges at this critical juncture include: retain focus, drive, and commitment; develop academic and financial partnerships transferring short-term success to long-term sustainability; advanced, context-driven, system-level evaluation including fiscal outcome; health care policy adaptation to new human health resource development. SUPPORTING EVIDENCE: Success includes: completed 2-year health services research evaluating 37 graduates; leadership, innovation, educational excellence, and human health resource benefit awards; influential publications/presentations addressing post-licensure education/outcome, interprofessional collaboration, and improved patient care.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".