Description of the case mix experienced by chiropractic students during a clinical internship
Bibliographic record
Abstract
OBJECTIVE: The primary objective of this study was to describe the case mix experienced by chiropractic students during their clinical internship at the Canadian Memorial Chiropractic College. Secondary objectives were to characterize teaching clinic patient populations, assess the similarity to previously published data for practicing chiropractors, and describe the treatment plans being recommended by interns. METHODS: A prospective, observational study was conducted using a convenience sample of 24 chiropractic interns. Data were collected by interns using a standardized form that was completed for each new patient and each new complaint examined during the 1-year internship. Standardized forms included data regarding patient demographics, complaint characteristics, and treatment recommendations. RESULTS: Data were included for 23 of 24 participating interns, who described 828 patients and a total of 948 unique complaint presentations. Overall, 60% of patients were female, 86% were 18 to 64 years old, and 23% were naive to chiropractic care. Of all presenting complaints, 93% were pain-based, 67% were chronic, 65% included spinal complaints, and 7% presented with red flags; individual interns' experiences were variable and are described. On average, treatment recommendations called for 9.4 visits and often included multimodal treatment approaches, most commonly soft-tissue therapies (91%), home-based active care (84%), and spine manipulation (70%). CONCLUSIONS: The findings of this study suggest that patients presenting to CMCC teaching clinics are similar to those reported previously to attend private chiropractic clinics. While all participating interns encountered multiple complex clinical cases, very few had experience with pediatric populations. This study adds to the few that detail the characteristics of patients attending chiropractic teaching clinics; to our knowledge it is the first to describe average case loads of chiropractic interns.
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How this classification was reachedexpand
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 | 0.002 | 0.010 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".