How comprehensively is evidence-based practice represented in councils on chiropractic education (CCE) educational standards: a systematic audit
Bibliographic record
Abstract
BACKGROUND: The incorporation of evidence-based practice (EBP) is widely recognised as a necessary process for entry-level health professional training. Accreditation documents reflect the practice standards of health professions. No previous study has assessed the extent to which EBP has been taken up by chiropractic regulatory/licencing authorities, known as Councils on Chiropractic Education (CCEs), around the world. The purposes of this study were to examine CCEs' educational standards for signs of a positive and negative approach to EBP as indicated by the prevalence and use of the words evidence, research, subluxation and vitalism, and to make recommendations if significant deficiencies were found. METHOD: We undertook a systematic audit of the educational standard documents of the various CCEs. CCEs were selected on the basis of the World Health Organisation. Two investigators identified the occurrences of terms explicitly related to EBP: evidence, evidence-based, research, subluxation and vitalism. This information was tabulated for comparative purposes. The date of the study was March 2016. RESULTS: Occurrences of the term evidence, as it related to EBP, was highest in the CCE-Europe (n = 6), followed by CCE-Australia (n = 2), and CCE-USA (n = 1). None were found in the CCE-International or CCE-Canada documents. The term research appeared most frequently in the CCE-Europe documents (n = 43), followed by CCE-USA (n-32), CCE-Australia (n = 29), CCE-Canada (n = 9) and CCE-International (n = 8). The term subluxation was found only once (CCE-USA) and vitalism did not appear in any educational standard documents. CONCLUSIONS: Accreditation bodies are powerfully positioned to act as a driver for education providers to give greater priority to embedding EBP into entry-level programs and shaping future directions within the profession. Terminology relating explicitly to EBP appears to be lacking in the educational standard documentation of CCEs. Therefore, future revisions of accreditation standards should address lack of terminology.
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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 | 0.245 | 0.549 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.028 | 0.027 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".