Can A Community Evidence-based Asthma Care Program Improve Clinical Outcomes?
Bibliographic record
Abstract
RATIONALE: Asthma is associated with significant morbidity. Previous studies highlight significant variations in asthma management approaches within primary care settings where the adoption of published asthma guidelines is typically suboptimal. OBJECTIVE: To determine whether the implementation of an evidence-based asthma care program in community primary care settings leads to improved clinical outcomes in asthma patients. METHODS, MEASUREMENTS, AND MAIN RESULTS: A community-based participatory research project was implemented at 8 primary care practices across Ontario, Canada, consisting of elements based on the Canadian Asthma Consensus Guidelines (asthma care map, program standards, management flow chart and action plan). A total of 1408 patients aged 2-55 years participated. Conditional logistic regression analyses were used to calculate the odds ratios (OR) comparing baseline to follow-up while adjusting for age, gender, socioeconomic status and other covariates. At 12-month follow-up, there were statistically significant reductions in self-reported asthma exacerbations from 77.8% to 54.5% [OR = 0.35; 95% confidence interval (CI): 0.28-0.43]; emergency room visits due to asthma from 9.9% to 5.5% (OR = 0.47; 95% CI: 0.32-0.62); school absenteeism in children from 19.9% to 10.2% (OR = 0.37; 95% CI: 0.25-0.54); productivity loss in adults from 12.0% to 10.3% (OR = 0.49; 95% CI: 0.34-0.71); uncontrolled daytime asthma symptoms from 62.4% to 41.4% (OR = 0.34; 95% CI: 0.27-0.42); and uncontrolled nighttime asthma symptoms from 46.4% to 25.4% (OR = 0.29; 95% CI: 0.23-0.37). CONCLUSIONS: Development and implementation of a community-based primary care asthma care program led to risk reductions in exacerbations, symptoms, urgent health service use and productivity loss related to asthma.
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How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".