Ambulatory physician care for musculoskeletal disorders in Canada.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To examine patterns of ambulatory physician visits for musculoskeletal disorders (MSD) in Canada. METHODS: Physician claims data from 7 provinces were analyzed for ambulatory visits made by adults age >or= 15 years to primary care physicians and specialists (all medical specialists, rheumatologists, internists, all surgical specialists, orthopedic surgeons) for MSD (arthritis and related conditions, bone disorders, back disorders, ill defined symptoms) during fiscal year 1998-99. Person-visit rates and total and mean number of visits to all physicians for MSD were calculated by condition group. The percentages of patients with MSD seeing physicians of different specialties were also calculated. Provincial data were combined to calculate national estimates. RESULTS: Over 15.5 million physician visits were made for MSD during 1998-99. About 24% of Canadians made at least one physician visit for MSD: 16% for arthritis and related conditions, 2% for bone disorders, 7% for back disorders, and 6% for ill defined symptoms. Person-visit rates for MSD varied by province, were highest among older Canadians, and were greater for women than men. Primary care physicians were commonly seen, particularly for back disorders. Consultation with surgical and medical specialists was less common and varied by province and by condition. CONCLUSION: MSD place a significant burden on Canada's ambulatory healthcare system. As the population ages, there will be an escalating demand for care. Careful planning will be required to ensure that those affected have access to the care they require. A limitation in using administrative data to examine health service utilization is that MSD diagnostic codes require validation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it