Real-world healthcare utilization in asthma patients using albuterol sulfate inhalation aerosol (ProAir® HFA) with and without integrated dose counters
Bibliographic record
Abstract
Background: Accurate tracking of the administered dose of asthma rescue inhalers is critical for optimal disease management and is related to reductions in rates of unscheduled health care utilization in asthma patients. There are few published data on the real-world impact of rescue inhalers with integrated dose counters (IDCs) on health care resource utilization (HRU) for asthma patients. This study evaluates HRU among users of ProAir ® hydrofluoroalkane (HFA) (albuterol sulfate inhalation aerosol), with IDC versus without IDC, in asthma patients. Methods: This was a retrospective administrative claims study of asthma patients receiving a new prescription for albuterol inhalation aerosol without IDC during 2 years (January 2011–December 2012) or with IDC during the first full year after IDC implementation in the USA (July 2013–July 2014). Six months of continuous enrollment with medical and prescription drug benefits were required before and after the first prescription during the study period. Data on respiratory-related hospitalizations and emergency department (ED) visits were collected during the follow-up period. Results: A total of 135,305 (32%) patients used albuterol inhalation aerosol with IDC, and 287,243 (68%) patients received albuterol inhalation aerosol without IDC. After adjusting for baseline confounding factors, the odds ratio (OR) for experiencing a respiratory-related hospitalization (OR=0.92; 95% confidence interval [CI] 0.88–0.96) or ED visit (OR=0.92; 95% CI 0.90–0.94) was significantly lower among patients using albuterol inhalation aerosol with IDC versus without IDC. Conclusion: In a real-world setting, asthma patients using ProAir HFA with IDC experienced significantly fewer hospitalizations and ED visits compared with patients using ProAir HFA without IDC. Dosage information provided by IDCs may allow providers to better understand patients’ disease severity and aid in titrating controller medications and also decrease the likelihood that the canister will be empty when needed, thereby enhancing disease management and reducing HRU. Keywords: asthma, ProAir, integrated dose counters, respiratory-related hospitalizations, emergency department visits, lower respiratory tract infections-related outpatient visits
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".