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Learning public health system for preventing asthma attacks

Safe People

Organisation name

University of Edinburgh

Organisation sector

Academic Institute

Applicant name(s)

Aziz Sheikh

Safe Projects

Project ID

9203650000000000

Lay summary

This project aims to better understand and ultimately prevent potentially life-threatening asthma attacks by moving towards a learning healthcare system, where data gathering is embedded in daily practice. The UK has one of the highest burdens of asthma in the world. Each year there are at least 6 million primary care consultations, 93,000 hospital admissions, and 1400 deaths – the majority of these deaths being preventable. What’s more, the financial cost of asthma to the UK is over £1 billion. Most people with asthma have long periods where they are either asymptomatic or experience only relatively mild symptoms; yet some go on to have asthma attacks, which can prove life-threatening. A key aim, therefore, is to better understand and ultimately prevent the risk of asthma exacerbations. However, the lack of timely patient data and a fragmented approach to asthma care make this a challenge. This project aims to move towards a learning public health system for asthma, where knowledge generation and sharing is embedded in daily practice, aiding continual improvements in patient care. Through this project routine NHS patient data from the Oxford-RCGP RSC network (ORCHID), Optimum Patient Care Research Database (OPCRD), Clinical Practice Research Datalink (CPRD) will be examined. CPRD includes linked hospital, mortality and socio-economic status data for England, and will allow the team to look in detail at how many people with asthma end up in A&E; how many are then hospitalised; and if they had modifiable risk factors which could have been managed in advance. To test if near-real time primary care data could be used for actionable insights for asthma management, a dashboard with asthma epidemiology and modifiable factors will be created for GP practices in ORCHID.

Public benefit statement

Moving towards a learning public health system for asthma will allow healthcare professionals to see in near real-time the people with asthma who would benefit from earlier review, be it about their medications, personal asthma action plans, vaccinations, etc. This data enabled opportunity could potentially help reduce asthma exacerbations and help people with asthma manage their asthma better.

Latest approval date

18/01/2022

Safe Data

Dataset(s) name

Oxford-RCGP RSC network (ORCHID)

Clinical Practice Research Datalink (CPRD)