Evidence map›Paper›PMID 41846678›Full record

ArticleERJ open research2026

Improving asthma control assessment and outcomes in children with asthma using an artificial intelligence digital tool: a prospective multicentre cohort study.

Anne B Chang, Stephanie T Yerkovich, Steven M McPhail, Hiran Selvadurai, Vikas Goyal, Shane George, Gabrielle B McCallum, Peter S Morris, Hannah O'Farrell, Lesley A Versteegh and 8 more

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Anne B ChangCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.ORCID https://orcid.org/0000-0002-1331-3706
Stephanie T YerkovichCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Steven M McPhailAustralian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
Hiran SelvaduraiDepartment of Respiratory Medicine, The Children's Hospital at Westmead, Sydney, NSW, Australia.
Vikas GoyalCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Shane GeorgeEmergency Department, Gold Coast University Hospital, Gold Coast, QLD, Australia.
Gabrielle B McCallumChild and Maternal Health Division and NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.ORCID https://orcid.org/0000-0002-0210-1468
Peter S MorrisChild and Maternal Health Division and NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Hannah O'FarrellCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Lesley A VersteeghChild and Maternal Health Division and NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Jonathan GriggCentre for Child Health, Blizard Institute, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0003-3109-6028
Margaret S McElreaCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Sophie WorleyCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Leanne Elliot-HolmesAsthma Foundation of the Northern Territory, Darwin, NT, Australia.
Terase YerkovichParent Advisory Group Representative, Cough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Clinical Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Joanna WilliamsParent Advisory Group Representative, Cough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Clinical Medicine, Queensland University of Technology, Brisbane, QLD, Australia.
Keith GrimwoodChild and Maternal Health Division and NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Julie M MarchantCough, Asthma and Airways Group, Australian Centre for Health Services Innovation and School of Medicine, Queensland University of Technology, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Achieving good asthma control is a goal of asthma management. In children, asthma control and quality-of-life assessments include determining the presence of wheeze. However, wheeze is unreliably reported with high disagreement (>50%) between parental and physician detection of wheeze. Objectively defining wheeze using WheezeScan™ (a user-friendly, artificial intelligence-based device) could improve assessment of asthma control and hence management. Objective: Our primary aim is to determine whether adding WheezeScan™ to routine clinical care improves parental asthma control assessment (ACA) in children (aged 4-11 years). Our secondary aims are to examine the impact of WheezeScan™ upon patient-reported outcomes (PROs), the parent asthma management self-efficacy scale (PAMS), healthcare costs and ease of WheezeScan™ use. The primary hypothesis is that using WheezeScan™ alters the ACA group. Methods: Our multicentre prospective cohort study involves 125 children with specialist-confirmed asthma. Over 5 weeks, parents/caregivers use the WheezeScan™ twice-daily at home and whenever wheezing is suspected. After the first week of using the WheezeScan™, asthma medications may be adjusted based upon the child's asthma control score and WheezeScan™ data. Study outcomes are collected at baseline, week 1 and week 5. Our primary end-point is the proportion of children whose assessment of asthma control changed between week 1 and baseline, based upon parental assessments using WheezeScan™ data. Secondary outcomes are PROs (asthma-related quality of life), PAMS, healthcare costs and WheezeScan™ ease of use. Conclusions: This protocol describes our study to determine whether using digital technology to accurately identify wheeze in children with asthma improves their asthma assessment and asthma-related PROs, including PAMS and healthcare costs.

Identifiers

PMID41846678
PMCPMC12991029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.