Community Advisors’ Effect on a Randomized Pragmatic Clinical Trial for Asthma Treatment: Retrospective Analysis
Bibliographic record
Abstract
Background: Community advisors including patients, families, clinicians, and payers are important partners who can guide clinical research; yet, there is little evidence documenting the impact of community engagement on study changes and outcomes. Objective: This study aims to describe the effect of community advisor input on 2 concerns identified during the conduct of a clinical trial. Methods: Using data from the PREPARE (Person Empowered Asthma Relief) randomized clinical trial studying the use of inhaled corticosteroid (ICS) as part of rescue therapy for asthma, we examined the effect of protocol changes suggested by community advisors to address study implementation concerns. Results: Community advisors addressed 2 issues that threatened the success of the research: low response rates to monthly outcome surveys and low reported use of ICS with nebulizer rescue treatments. Initial low survey response rates were addressed by changing reminder frequency, shortening the survey, reducing the burden of logging in, and adding a raffle prize for timely responses. In the pilot phase of the study, the overall 3-month survey response rate was 67% (64 completed of 96 possible surveys). After protocol changes, the survey response rate over the first 3 months was 96.08% (3404 completed of 3543 possible surveys) and was 87.38% (1032 of 1181 participants) for each individual's final 3 months; the overall response rate for the full study was 92.3%. For the full study, 72.1% (n=850) of 1181 participants completed all of their first three surveys compared with only 25% (n=8) of 32 pilot enrollees. Early low use of ICS with nebulizers was addressed by additional communication, reminder stickers, and designing a method to attach a provided ICS inhaler to the nebulizers. The percentage of people reporting use of 3 to 5 puffs of ICS with each nebulizer treatment rose from 42.1% (200/475) in the early full study to 75.4% (525/696) following the protocol changes. Conclusions: Multicomponent changes to the PREPARE protocol crafted by community advisors were associated with improved monthly survey rates and ICS adherence during nebulizer use.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".