Predicting asthma attacks using digital technology
This research aims to develop a prediction model for asthma attacks by capturing changes in the body that may happen before an attack occurs, using smart devices such as smartwatches. The data will then be used with machine learning to look at developing new ways to predict asthma attacks.
What's involved?
This study involves attending two in-person appointments after enrolling and at the six-month mark. The appointments will be taking place either in Auckland or the Waikato.
Participants will also be needed to complete fortnightly online surveys, which take roughly five minutes to complete. They must wear a Fitbit and as well as use a cough monitor each day, alongside a smart inhaler and their usual inhaler(s).
Eligibility criteria
We are looking for participants who:
- Are aged 12 years or older. Any participants under the age of 18 must have written consent from their legal guardian, allowing participation in this study.
- Have been diagnosed with asthma by a doctor, and have had an asthma attack in the last 12 months (An asthma attack can be having more asthma symptoms for two days or more, not limited to attacks where you need to see a doctor or visit a hospital).
- Are currently taking asthma inhalers prescribed by a New Zealand based doctor.
- Comfortable with using technology for six months.
Contact details
Primary Investigator
Dr Amy Chan
Email: a.chan@auckland.ac.nz
Co-investigator
Professor Partha Roop
Email: p.roop@auckland.ac.nz
Co-investigator
Professor Jeff Harrison
Email: jeff.harrison@auckland.ac.nz
Further information
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Participant Information Sheet. Size: 502.9 kB.
Document Description: Find out more about this study.
Approved by Southern Health and Disability Ethics Committee. Reference 2023 FULL 13541.