Exploring factors affecting adherence to asthma treatment using contextual data

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Asthma inhalers and treatment devices are increasingly incorporating the capability to 'track' the way they are used as part of our 'digital ecosystem'. This tracking can include information about the number, size and frequency of doses per day, as well as data associated with the individual using the device, such as their location, health state or environmental conditions (e.g. air quality). The potential of this data for clinicians, clinical researchers and developers, patients and their families is large, but the management and use of this data presents ethical and data analytical challenges. This PhD could explore questions such as 'how should data be presented to encourage patients adhere to treatment regimes?, 'how can clinicians responsibly gain value from multiple data sets containing personal patient data?' or 'how can clinical development use inhaler use data to inform the development of future treatments and delivery devices?'. This project will build on previous work conducted in partnership with colleagues at Nottingham University Hospitals Trust, and work in partnership with Glaxo Smith Kline