At-risk children with asthma (ARC): a systematic review.
Audrey Buelo, Susannah McLean, Steven Julious...
https://pubmed.ncbi.nlm.nih.gov/29871982Actively Recruiting
Led by University of Edinburgh · Updated on 2026-01-22
900
Participants Needed
1
Research Sites
21 weeks
Total Duration
This research aims to evaluate whether healthcare data combined with remotely collected patient data can accurately predict asthma attacks in children and young people aged 5 to 17 years. The study focuses on reducing asthma attacks compared to historic averages by monitoring a whole population of children and young people with asthma. A subgroup at high risk will participate in a detailed study involving remote monitoring. The study uses a new risk stratification system including a clinician dashboard and a patient-facing app. The dashboard allows clinicians to identify individuals at increased risk of asthma attack based on healthcare data and remote monitoring, such as night cough and symptom scores. Identified high-risk patients receive clinical interventions like phone calls or appointments, and may be offered an enhanced app to monitor symptoms, cough, and activity. Participants' routine healthcare data will be monitored continuously, with those at high risk contacted for clinical review. Data collected include medication prescriptions, hospital admissions, lung function, and app-generated symptom and cough data. Outcomes measured over six months include the number of asthma attacks, hospitalizations, symptom rates, interventions, and app usage. Data privacy and security are maintained throughout the study, which runs from November 2025 to March 2027.
CONDITIONS
Remote Monitoring of Asthma in Children and Young People
You may qualify if you...
You will not qualify if you...
Complete this quick 3-step screening to check your eligibility
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Up to 6 months
Participants with asthma are continuously monitored using a clinician dashboard that applies a risk algorithm to assess their risk of an asthma attack. This includes reviewing healthcare data and patient-reported information to identify those at increased risk.
Weekly remote monitoring with clinician review
Duration - Ongoing throughout the 6-month monitoring period
Participants identified as high risk receive clinical interventions such as phone calls or appointments to assess and manage asthma control. Interventions are tailored by clinicians based on risk status.
Phone calls or clinic appointments as needed, typically within 1 week of risk identification
Duration - Up to 6 months
High-risk participants are offered access to a patient-facing app to report symptoms, monitor night-time cough, and track activity. This supports ongoing asthma management and risk stratification.
Continuous daily symptom reporting and app engagement remotely
Total: 1 location
1
NHS Lothian
Edinburgh, United Kingdom
Actively Recruiting
K
kenneth a macleod, MbChB, PhD
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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Audrey Buelo, Susannah McLean, Steven Julious...
https://pubmed.ncbi.nlm.nih.gov/29871982