Validation of the 30 Second Asthma Test™ as a Measure of Asthma Control
Bibliographic record
Abstract
BACKGROUND: The primary objective of asthma management is to help patients establish and maintain optimal disease control. Simple and efficient tools are needed to assess patient-reported symptoms so that they can be used with or without airway function to evaluate asthma control. OBJECTIVE: The objective of the present study was to evaluate the validity of The 30 Second Asthma Test (GlaxoSmithKline Inc, Canada), based on the Canadian Asthma Guidelines, by estimating its relationship with criterion measures of control. RESULTS: The discriminative and diagnostic validity of The 30 Second Asthma Test was examined in a sample of 81 patients with a confirmed diagnosis of asthma. Based on a cut-off score of two or greater on The 30 Second Asthma Test, the overall agreement with specialist ratings was 65%, and 58% with per cent predicted forced expiratory volume in 1 s. The 30 Second Asthma Test scores distinguished between groups of patients who were classified based on the change in intensity of therapy. CONCLUSION: The results support the use of The 30 Second Asthma Test as a brief screening tool for asthma control.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".