Global Quality Statements on Reliever Use in Asthma in Adults and Children Older than 5 Years of Age
Bibliographic record
Abstract
INTRODUCTION: Widespread misuse of short-acting beta-agonists (SABAs) may contribute to asthma-related morbidity and mortality. Recognizing this, the Global Initiative for Asthma neither recommends SABA monotherapy nor regards this formulation as a preferred reliever. Many health systems and healthcare professionals (HCPs) experience practical issues in implementing guidelines. Clear quality standards can drive improvements in asthma care and encourage implementation of global and national medical guidelines. METHODS: A steering group of global asthma experts came together between May and September 2019 to develop quality statements codifying the minimum elements of good quality asthma care. These statements were either evidence based (when robust evidence was available) or reflected a consensus based on clinical expertise and experience of the group. RESULTS: The quality statements (and associated essential criteria) developed emphasize key elements concerning (1) objective diagnosis specific to individual symptoms, (2) treatment appropriate to the long-term management of asthma as an inflammatory disease, consistent with evidence-based recommendations, (3) controlled dispensing of SABA canisters and monitoring to prevent overuse, (4) regular review of patients after treatment initiation or change, and (5) follow-up of patients in primary care after treatment for an exacerbation in a hospital or an emergency department. CONCLUSIONS: The steering group proposes quality statements that national and local clinical groups can implement as quantitative quality standards that are appropriate to their local circumstances, including during the coronavirus disease 2019 (Covid-19) pandemic. By translating these statements into locally relevant quality standards, primary care physicians and HCPs can encourage optimal management and reduce preventable healthcare interactions. The evidence-based evolution of care encapsulated in these statements will further engender high-quality, patient-centered holistic management that addresses asthma as an inflammatory disease. In particular, the statements empower self-management by patients and encourage health-promoting behaviors, which are essential to reduce exacerbations, the primary goal of asthma management.
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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 | 0.166 | 0.247 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".