Chiropractic pediatric patient management and interdisciplinary collaboration: a descriptive cross-sectional study of chiropractors in Quebec
Bibliographic record
Abstract
BACKGROUND: Worldwide, many patients, including minors, seek chiropractic care. The purpose of this study was to investigate the practice characteristics of chiropractors who treat pediatric patients in Quebec, Canada. METHODS: We conducted a web-based cross-sectional survey of all licensed chiropractors working in Quebec (Canada). Data were collected using an adapted questionnaire. Descriptive statistics were produced for all the variables collected. RESULTS: Among our 245 participants (response rate: 21%), 63% were women, and half defined themselves as general musculoskeletal (MSK) health care practitioners. Nearly all participants reported seeing 0-5 new pediatric patients/week, and the most common pediatric age group was 6-12 years old (57%). Pediatric patients were most commonly referred by family members and "word of mouth". The respondents most frequently indicated that they strongly agreed with statements affirming their confidence in their own diagnostic capacities regarding MSK disorders with respect to all age groups as well as non-MSK disorders with regard to young teens. They reported a moderate level of agreement with similar statements concerning the diagnosis of non-MSK disorders in newborns, preschoolers, and children. Chiropractors rarely referred their pediatric patients to a nurse/family doctor or a pediatrician. When presented with potential pediatric red flags, the respondents commonly indicated that they would refer the patient to a physician in an emergency situation or for comanagement. CONCLUSION: Chiropractors in Quebec are confident in their diagnoses of pediatric MSK conditions and refer patients to physicians in the rare event of a worrisome presentation. However, some chiropractors may have expectations that are unsupported by evidence regarding the diagnosis and management of non-MSK complaints.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".