PT - JOURNAL ARTICLE AU - Lewis, Carine AU - Bradley, Emma AU - Chesterton, James AU - Gormley, Lindsay AU - Copeland, David AU - Boycott, Kay TI - Identifying asthma sub-populations to improve self-management AID - 10.1183/13993003.congress-2016.PA2889 DP - 2016 Sep 01 TA - European Respiratory Journal PG - PA2889 VI - 48 IP - suppl 60 4099 - http://erj.ersjournals.com/content/48/suppl_60/PA2889.short 4100 - http://erj.ersjournals.com/content/48/suppl_60/PA2889.full SO - Eur Respir J2016 Sep 01; 48 AB - Adherence to inhaled asthma medication is poor, increasing the likelihood of asthma attacks. Evidence suggests that supported self-management can improve adherence and digital information support systems may be an effective form of communication. However, individuals' information needs and communication preferences differ.The aim of this project was to develop a framework through which we could identify people in the UK likely to have higher asthma prevalence and risk of exacerbation and describe their communication preferences.Segmentation is the process of dividing the population into groups of similar characteristics. Using hierarchical clustering, a bespoke audience segmentation was created using Mosaic Public Sector consumer classification data combined with health data taken from health surveys and Hospital Episode Statistics. Primary dimensions when forming the clusters were weighted, with the highest weightings including asthma prevalence, control, hospitalisations and comorbidities.10 clusters were identified showing different profiles according to asthma prevalence and risk factors, and demographics, lifestyle and communication preference. 3 groups were more likely to have asthma that was also uncontrolled. Differences in communication preference, literacy and demographic factors between these groups were present. A further 2 groups who had an average likelihood of asthma prevalence differed in their propensity to manage the condition well.We were able to identify specific profile and communication preferences among socio-economic groups in relation to asthma and asthma management. We will use these to drive uptake of self-management interventions through mass communication channels and evaluate their impact.