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Cronfa - Swansea University Open Access Repository_____________________________________________________________This is an author produced version of a paper published in:npj Primary Care Respiratory MedicineCronfa URL for this paper:_____________________________________________________________ npjpcrm.2016.77Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). _____________________________________________________________This item is brought to you by Swansea University. Any person downloading material is agreeing to abide by the termsof the repository licence. Copies of full text items may be used or reproduced in any format or medium, without priorpermission for personal research or study, educational or non-commercial purposes only. The copyright for any workremains with the original author unless otherwise specified. The full-text must not be sold in any format or mediumwithout the formal permission of the copyright holder.Permission for multiple reproductions should be obtained from the original author.Authors are personally responsible for adhering to copyright and publisher restrictions when uploading content to therepository.
ABSTRACTSOPENMeeting Abstracts from the 2016 Primary Care RespiratorySociety UK (PCRS-UK) Annual Conference: Fit for theFutureA Holistic Approach to Respiratory CareTelford International Centre, Telford, UK, 1415 October 2016Sponsorship:Publication of this supplement was funded by Primary Care Respiratory Society UK (PCRS-UK).npj Primary Care Respiratory Medicine(2016)26,16077; doi:10.1038/npjpcrm.2016.77; published online 12 October 20161. Concordance between self-reported and GP-reported treatedasthma in WalesAl Sallakh MA, Rodgers SE, Lyons RA, Sheikh A, Davies GASwansea University Medical School, UKAim: Analysis of concordance between case identification criteria helpsjudge their reliability. We analysed the agreement between GP-reporteddata-driven and self-report case identification of current treated asthma(CTA) in Wales.Method: We accessed a subset from the Welsh Health Survey (WHS) 2014results including 6,702 individuals aged 15+. We excluded those with invalidCTA responses or whose records could not be linked to the GP dataset intheSecureAnonymisedInformationLinkageDatabank.FromtheGPdataset,weusedobservedvariablesaboutasthmadiagnosisandprescriptions to perform latent class analysis (LCA). In the bestfittingmodel,latentclassesconsistentwithCTAwerecombinedintoaGP-reported CTAgroup. We then estimated the concordance betweenself-reported CTA from the WHS and both GP-reported CTA and ever-diagnosed-or-treated asthma.Results: We included 4,187 people, of whom 439 (10.5%) had self-reportedCTA but of these 13% had no recorded asthma diagnosis or prescriptions inthe GP data. The bestfitting LCA model contained 7 classes; 5 classesincluding346people(8.2%)wereconsistentwithCTA.Theshareof ever-diagnosed-or-treated asthma was 16.1%. Only 246 (5.9%) peoplehad both self-reported and GP-reported CTA; Cohen's kappa for agreementbetween the two classifications was 0.59. This increased to 0.62 when self-

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