Patients with Severe Uncontrolled Asthma: Perception of Asthma Control and its Management
Bibliographic record
Abstract
INTRODUCTION: The aim of our observational study was to understand how patients with uncontrolled severe asthma perceive asthma control, and to assess their views on the role of healthcare professionals (HCPs) and other stakeholders in asthma management. METHODS: In total, 200 patients with uncontrolled, severe asthma living in Canada, France, Germany, Italy, Spain, the UK, or the USA registered on the Carenity asthma community responded to a patient survey. RESULTS: While 62% of respondents indicated they knew a lot about asthma, they were not entirely satisfied with its control. The two most helpful tools considered important in long-term asthma control were centered on learning, with tips on asthma control (76%), as well as information on asthma and its causes (67%). Although asthma education programs were accessible to less than half (44%) of the respondents, 72% said they would find them useful. In the previous year, most patients (78%) consulted a specialist; however, while 54% of respondents participated in shared decision-making (SDM) concerning their treatment, less than one-third (29%) felt their opinion had been considered, and only 27% said it helped their HCPs to develop an informed action plan. However, 48% believed that SDM would help them feel more confident in achieving long-term control. Most respondents consulted emergency room doctors or nurse practitioners because of their uncontrolled severe asthma, finding them persuasive sources of information. Additionally, patient advocacy organizations (PAGs) were considered as a preferred (12%) or persuasive (6%) source by only a few patients. CONCLUSION: Most people with uncontrolled severe asthma were well informed about their disease. However, better information on asthma management would be useful for patients, with HCPs involved in this process. SDM was welcomed by respondents, but, to be successful, the patients' opinions should be taken into consideration when forming an asthma management action plan.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".