2017
DOI: 10.1136/bmjopen-2017-017474
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Validation of asthma recording in the Clinical Practice Research Datalink (CPRD)

Abstract: ObjectivesThe optimal method of identifying people with asthma from electronic health records in primary care is not known. The aim of this study is to determine the positive predictive value (PPV) of different algorithms using clinical codes and prescription data to identify people with asthma in the United Kingdom Clinical Practice Research Datalink (CPRD).Methods684 participants registered with a general practitioner (GP) practice contributing to CPRD between 1 December 2013 and 30 November 2015 were select… Show more

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Cited by 84 publications
(89 citation statements)
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“…The study population consisted of patients in CPRD-linked practices with validated Read codes (a clinical terminology system) indicating prevalent or incident asthma 7. Patients were eligible if a code for asthma had been recorded at ≤2 years prior to study entry if aged <18 years, or ≤3 years if aged ≥18 years (figure 1).…”
Section: Methodsmentioning
confidence: 99%
“…The study population consisted of patients in CPRD-linked practices with validated Read codes (a clinical terminology system) indicating prevalent or incident asthma 7. Patients were eligible if a code for asthma had been recorded at ≤2 years prior to study entry if aged <18 years, or ≤3 years if aged ≥18 years (figure 1).…”
Section: Methodsmentioning
confidence: 99%
“…A validated code list was used to identify patients with asthma 33. A validated COPD code list34 was the basis of our COPD code list (see online supplement for additional codes).…”
Section: Methodsmentioning
confidence: 99%
“…CRD included asthma, bronchiectasis, CF, COPD, and ILD. Asthma [19] and COPD [20] patients were identified using validated algorithms. The Read codes used to identify bronchiectasis [21], ILD [22], and CF [18] patients have been published.…”
Section: Methodsmentioning
confidence: 99%