Designing a framework for the delivery of collaborative musculoskeletal care involving chiropractors and physicians in community-based primary care
Bibliographic record
Abstract
Strategies have been proposed to facilitate collaboration between conventional health care providers in primary care. However, little is known if these are transferable to CAM health care providers. We designed a qualitative study to articulate a conceptual model to advance the interprofessional collaboration between physicians and chiropractors within community-based primary care in Ontario, Canada. Data obtained from 16 key informants and eight focus groups, with a range of professionals including chiropractors, physicians and academia as well as patients, informed the development our framework. The framework included processed-based factors that clustered under three categories: communication, practice parameters, and service delivery; presumed necessary to address challenges and optimize benefits of collaboration. The development of this framework may help understand and promote interprofessional collaborative practice and contribute to the understanding of how CAM may participate in mainstream healthcare.
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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 | 0.040 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.015 | 0.029 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".