Asthma patients' and physicians’ perspectives on the burden and management of asthma
Bibliographic record
Abstract
BACKGROUND: The 2021 Global Initiative for Asthma (GINA) report recommends as-needed inhaled corticosteroid (ICS)/formoterol irrespective of severity, and maintenance and reliever treatment (MART) from GINA Step 3 as part of Treatment Track 1, partly based on the SYGMA studies. We investigated how current clinical practice in Australia, Canada, China and the Philippines relates to latest GINA recommendations. METHODS: Patients and physicians were recruited from online panels between July and August 2020 and invited to complete an online survey. INCLUSION CRITERIA: age ≥18 years, current/past physician diagnosis of asthma (patients); primary care (Canada also included respirologists/respiratory therapists), treating ≥4 patients with asthma per month, ≥3 years in clinical practice (physicians). RESULTS: Overall, 1216/70,183 patients and 803/8376 physicians replied and were eligible for inclusion. Only 8-15% of patients were using MART; 66-81% used regular maintenance therapy with/without an as-needed reliever. Across the four countries, physicians classified 48-63% of their patients as mild (GINA Steps 1-2) and 28-36% as moderate (GINA Steps 3-4). Generally, physicians rated symptom control over exacerbation reduction as their main treatment goal; patients also ranked symptom relief as very important. Approximately 9-29% of patients and 24-45% of physicians were unaware of MART, and among those who prescribed MART, 80-95% prescribed an additional (non-ICS) as-needed reliever. INTERPRETATION: Most physicians prioritized managing asthma symptoms over exacerbations. A lack of awareness and understanding of MART dosing exists among physicians. Practical strategies are required to implement GINA recommendations effectively in real-world clinical practice and to identify appropriate patients for MART.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".