Access to Pediatric Rheumatology Subspecialty Care in British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVE: Early recognition and treatment of pediatric rheumatic diseases is associated with improved outcome. We documented access to pediatric rheumatology subspecialty care for children in British Columbia (BC), Canada, referred to the pediatric rheumatology clinic at BC Children's Hospital, Vancouver. METHODS: An audit of new patients attending the outpatient clinic from May 2006 to February 2007 was conducted. Parents completed a questionnaire through a guided interview at the initial clinic assessment. Referral dates were obtained from the referral letters. Patients were classified as having rheumatic disease, nonrheumatic disease, or a pain syndrome based on final diagnosis by a pediatric rheumatologist. RESULTS: Data were collected from 124 of 203 eligible new patients. Before pediatric rheumatology assessment, a median of 3 healthcare providers were seen (range 1-11) for a median of 5 visits (range 1-39). Overall, the median time interval from symptom onset to pediatric rheumatology assessment was 268 days (range 13-4989), and the median time interval from symptom onset to referral to pediatric rheumatology was 179 days (range 3-4970). Among patients ultimately diagnosed with rheumatic diseases (n = 53), there was a median of 119 days (range 3-4970) from symptom onset to referral, and 169 days (range 31-4989) from onset to pediatric rheumatology assessment. CONCLUSION: Children and adolescents with rheumatic complaints see multiple care providers for multiple visits before referral to pediatric rheumatology, and there is often a long interval between symptom onset and this referral.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".