ArticleCJEM2025
ED inhaler revolution: a simple method to substantially reduce the carbon footprint and cost of inhaler use in the emergency department.
Article in CJEM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Climate change, pharmaceuticals and prescribing patterns: a scoping review and proposal for the MAMS model for healthcare educators.Frontiers in public health · 2026Article
- Environmental sustainability in asthma: reducing carbon footprint and medication wastage.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAs global warming intensifies, the healthcare industry faces a parallel need to treat climate-related illness and scrutinize our greenhouse gas emissions. Metered-dose inhaler medications for reactive airways diseases constitute a substantial portion of healthcare emissions. Metered-dose inhalers are often overprescribed, underlabeled, and lost after a few actuations in the emergency department (ED). Lower greenhouse gas alternatives of similar cost and efficacy are readily available, such as dry-powder inhalers, and numerous guidelines support practice change, yet no published work has shown attempts to change practice patterns in the ED. This quality improvement initiative sought to improve inhaler prescribing, use, and disposal in our ED through a staff education campaign.
methodsIn a tertiary care ED, we implemented a two-staged education campaign for ED nurses and doctors. Passive education techniques (posters, emails, presentations) were followed by active education (one-on-one sessions, simulated cases). Objectives included improvement of green-prescribing practices, medication labeling, patient education, proper disposal, and pulmonary function testing prior to prescribing. We encouraged practice change only in mild and moderate cases of reactive airway disease.
resultsWe showed a 19% reduction over the first 6 months, and a 43% reduction the following 6 months in salbutamol metered-dose inhaler dispensations, relative to the same period the year prior. This may correspond to the carbon equivalent of driving approximately 96,000 km by car, or nearly 2.5 times the Earth's circumference. Process measures revealed increased dispensations of dry-powder inhalers and a quick improvement in prescriber knowledge and comfort with alternatives.
conclusionOverburdened ED staff remain willing and able to change practice toward environmental sustainability. The rapid success of this project should encourage expansion of sustainability considerations across Canadian EDs, and into clinical and administrative decision-making at all levels of healthcare.
Indexed as
Identifiers
40055304What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.