The comorbidity burden of the treated asthma patient population in British Columbia
Bibliographic record
Abstract
To date there has been little investigation of the prevalence of comorbid conditions in asthma patients. Using 1996/97 cross-sectional health services administrative data for British Columbia, we compared the prevalence of comorbid conditions in treated adult asthma patients with the general adult population using a standardized comorbidity identification methodology, the Adjusted Clinical Group (ACG) Case-Mix System. We also profiled the comorbidity burden of pediatric asthma patients. Adults with asthma were significantly more likely to have a range of comorbidities, including respiratory infections, allergic rhinitis and 8 high impact/high prevalence chronic conditions (HIHPCCs). One in 4 adults with asthma had depression, the most prevalent HIHPCC. Children with asthma had a lower comorbidity burden than adults, but 12.6% had a stable or unstable chronic medical condition, with the most prevalent HIHPCC also depression. Adults with asthma had a high and complex comorbidity burden, particularly in terms of multiple chronic conditions. We discuss the implications for services planning and delivery.
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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 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".