Descriptive study of interprofessional collaboration between physicians and osteopaths for the pediatric population in Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: Osteopathy is an increasingly popular healthcare approach that uses a wide variety of therapeutic manual techniques to address pain and somatic dysfunction. In Quebec, Canada, osteopathy is the complementary medicine most often recommended by family physicians. However, factors fostering the development of interprofessional collaboration (IPC) between physicians and osteopaths are unknown. This study aimed to describe the current situation in terms of IPC among practitioners working with pediatric patients. METHODS: A self-administered questionnaire was sent to osteopaths, family physicians, and pediatricians involved with pediatric patients in the province of Quebec. The postal questionnaire captured general knowledge about osteopathy and its practice parameters and role, sources of information, communication aspects including having a professional relationship and referrals, and influence of the upcoming government regulation. Quantitative data from the questionnaires were analyzed using descriptive statistics. Logistic regression model for factors associated with osteopathic referrals and multiple linear regression analyses for the number of correct answers about general osteopathic practice parameters were performed. RESULTS: A total of 274 physicians (155 family physicians (response rate 13%) and 119 pediatricians (17%)) and 297 osteopaths (42%) completed the survey. According to physicians, osteopathy was most appropriate for musculoskeletal pain (241; 91%) and plagiocephaly (235; 88%). Osteopathic referral was positively associated with having a professional relationship (odds ratio [OR] 4.10 (95% confidence interval [CI] 2.12; 7.95), p < 0.001), personal consultation (OR 2.58 (95% CI 1.35; 4.93), p = 0.004), community-based practice (OR 1.89 (95% CI 1.03; 3.47), p = 0.040), and belief in the active role of osteopathy for pediatric conditions (OR 1.22 (95% CI 1.01; 1.47), p = 0.042). The majority of physicians (72%) and osteopaths (62%) considered the upcoming government regulation of osteopathy a positive factor for collaboration. CONCLUSION: Some collaboration already exists among these practitioners, including mutual referrals, but optimizing this collaboration still poses some challenges.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 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) | 0.002 | 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".