Frequency and indication of non-musculoskeletal examinations: a cross-sectional survey of Quebec chiropractors
Bibliographic record
Abstract
BACKGROUND: Approximately 1% of low back pain is estimated to be caused by serious systemic diseases, including cancer, infection, or abdominal aortic dissection. This study aimed to determine the frequency of execution of non-MSK physical examination procedures among Quebec chiropractors and to identify the clinical context that prompts them to use these physical examination procedures. METHODS: Cross-sectional survey containing 44 questions administered to a random sample of Quebec chiropractors using a succession of online, postal and phone questionnaires. The 4-part survey questionnaire contained six demographic questions, 28 single-choice questions to determine the frequency of execution of non-MSK physical examination procedures, seven short clinical vignettes for which the respondents had to select the non-MSK examinations that would be required, and two questions inquiring about the proportion of new patients for which participants' felt non-MSK examinations were necessary and whether appropriate assessments were performed. The questionnaire was pilot tested, and feedback received integrated prior to administration. We conducted descriptive statistics, Pearson correlations, and an ANOVA. RESULTS: The survey was completed by 182 chiropractors (response rate: 36.4%). The most commonly non-musculoskeletal examination performed daily were blood pressure (12.1%) and cranial nerves (4.9%). The most common tests never performed were oxygen saturation (68.7%), cardiac auscultation (69.2%), tibio-brachial index (71.4%), breast (86.8%), rectal (96.7%), testicular (95.6%), and vaginal (99.9%) exams. Female chiropractors and Quebec University in Trois-Rivières graduates reported that a significantly higher proportion of their new patients required a non-musculoskeletal physical examination compared to male participants (37.2% vs 28.3%) or Canadian Memorial Chiropractic College graduates (33.9% vs 19.9%). Reason for not performing a physical examination included the belief that another healthcare professional was better positioned to perform and/or interpret the related tests (76.4%). CONCLUSIONS: Vital signs and cranial nerve examinations were the most frequency performed non-musculoskeletal examinations reported by chiropractors. Apart from the genitourinary exam almost never performed, most participants chose non-musculoskeletal examinations deemed appropriate for the patient's presentation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".