An investigation into chiropractic intern adherence to radiographic guidelines in clinical decisions with a descriptive comparison to clinical practitioners
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to assess chiropractic interns' knowledge and adherence to radiographic clinical practice guidelines (CPGs) and compare their clinical decisions to previous surveys of established practitioners in Canada and Australia. METHODS: A clinical decision-making survey was administered to 88 interns. The survey contained clinical scenarios and vignettes with inquiries regarding indications for radiographic referral, the likelihood of referral, and the application of CPGs. RESULTS: Forty-four percent (43.75%) of the interns were aware of CPGs, 38.75% were unsure, and 17.5% were not aware. When asked specific questions about the appropriateness of diagnostic imaging, the interns' responses were similar to those of practitioners in Canada and Australia. When interns evaluated a clinical vignette, there was lower compliance with CPGs. CONCLUSION: The interns' clinical decisions regarding the use of diagnostic radiography did not significantly differ from those of practitioners who were surveyed in other related studies. Interns were inconsistent in applying their decision making in clinical cases. Notwithstanding the similarities with practitioners, some deviation from the guidelines indicates the need for further intern education to improve the implementation of CPGs for optimal cost-effective and clinically appropriate 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 | 0.008 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".