Trial reportPublic health nursing (Boston, Mass.)2022
Promoting risk reduction among young adults with asthma during wildfire smoke: A feasibility study.
Trial report in Public health nursing (Boston, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 13 citations in OpenAlex.
- Feasibility and acceptability of home monitoring with portable spirometry in young adults with asthma.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023Trial
- Wildfire and asthma - The prospective interventions.The World Allergy Organization journal · 2025Review
- Symptoms Reported by Young Adults With Asthma During Wildfire Smoke Season.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024Article
- Article
- Smoke on the horizon: leveling up citizen and social science to motivate health protective responses during wildfires.Humanities & social sciences communications · 2024Article
- A scoping review of wildfire smoke risk communications: issues, gaps, and recommendations.BMC public health · 2024Article
- Knowledge, attitudes and practices about air pollution and its health effects in 6th to 11th-grade students in Colombia: a cross-sectional study.Frontiers in public health · 2024Article
- Interventions to reduce the impact of outdoor air pollution on asthma: A systematic review.African journal of thoracic and critical care medicine · 2024Review
- Understanding and addressing the health impacts of wildfires on Latines in California.The journal of climate change and healthArticle
- A framework for symptom self-management for individuals with complex health conditions.Nursing outlookArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
OBJECTIVE(S): This study explored the feasibility, acceptability, preliminary impact, and functionality of two risk reduction mobile application (app) interventions on asthma outcomes as compared to a control arm during wildfire season.
designThree-arm, 8-week randomized clinical trial. SAMPLE: Sixty-seven young adults with asthma were enrolled. MEASUREMENTS: The Asthma Control Test, forced expiratory volume in one second (FEV
interventionBoth intervention arms could access Smoke Sense Urbanova, an app that supports reducing risks from breathing wildfire smoke. The Smoke Sense Urbanova Plus arm also monitored their daily FEV
resultsMost participants agreed the app and spirometer were usable and their privacy and confidentiality were maintained. No adverse events were reported.
conclusionsParticipant-identified recommendations will support intervention refinement and testing. This research supports asthma self-management tools that public health nurses and community health workers can recommend for at-risk populations.
Indexed as
Identifiers
What 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.