The Community Pediatric Asthma Service—Together We’re Better: Asthma care in the Calgary zone
Bibliographic record
Abstract
The Community Pediatric Asthma Service in Calgary, Alberta, focuses on improving asthma self-management skills for patients and families through one-on-one education sessions in the Calgary Zone.We also aim to increase physician confidence to diagnose and manage asthma by sharing medically accurate, consistent information in innovative ways.The Public Health Agency of Canada estimates the national prevalence of asthma to be 15.3% for the 1-19-year-old age group [1] and, according to the most recent federal census, the total population of Calgary was 1,276,650, with 296,210 in the 1-19-year-old age group [2].Given these statistics, that equates to more than 44,000 children in the Calgary Zone (Zone) estimated to have asthma.A recent report from the Canadian Lung Association states that approximately 45% of Canadians do not have their asthma under "good" or "somewhat good" control [3].In 2006-2007, asthma was the number two reason for an emergency visit to Alberta Children's Hospital (ACH) [4].In 2017-2018, ACH reported asthma had dropped to the eighth most responsible diagnosis in the emergency department (see Table 1) [5].The Zone includes a large area of 39,300 km 2 with a population of 1,612,917 (2015-2016) [6].Communities included in this area include Banff and Lake Louise to the West, Didsbury to the North, Claresholm to the South, and Strathmore to the East [7,8].This commentary will discuss how the Community Pediatric Asthma Service was developed and eventually funded, how our program operates, as well as the successes we have achieved in the treatment of pediatric asthma in this Zone of Alberta Health Services (AHS).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 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".