Barriers to Metered-dose Inhaler/spacer Use in Canadian Pediatric Emergency Departments: A National Survey
Bibliographic record
Abstract
BACKGROUND: Metered-dose inhalers and spacers (MDI+S) are at least as effective as nebulizers for treating children with mild to moderate asthma exacerbations. Despite advantages in terms of efficacy, side effects, and ease of use, MDI+S are not used in many North American pediatric emergency departments (PEDs). OBJECTIVES: To survey emergency physicians, emergency nurses, and respirologists in Canadian pediatric teaching hospitals regarding their practices, beliefs, and barriers to change with respect to bronchodilator delivery. METHODS: This was a cross-sectional, mailed survey of all emergency physicians, all respirologists, and a random sample of emergency nurses at ten Canadian PEDs. RESULTS: A total of 291 of 349 health care professionals (83%) responded. Twenty-one percent of emergency physicians use MDI+S in the PED (largely concentrated at two "user sites"). A majority at nonuser sites, and virtually all professionals at user sites, responded that MDI+S are at least as effective as nebulizers, switching to MDI+S is justified by existing research, patient outcomes would be equal or better, and they have the required knowledge and skills to use MDI+S in the emergency department. The largest perceived barriers to MDI+S implementation include concerns regarding safety and costs, related to feasibility of providing and sterilizing spacers, and parental expectations for nebulizers. Other barriers included staff beliefs regarding the effectiveness of MDI+S, changes in nursing workload, and lack of a physician champion for change. CONCLUSIONS: MDI+S are infrequently used to treat patients with acute asthma in Canadian PEDs, despite the fact that most emergency staff believe they are effective. Important barriers to using MDI+S have been identified in this study and should be used to guide future implementation strategies.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".