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Journal article

The prevalence of COPD in England: an ontological approach to case detection in primary care

Abstract:
Chronic obstructive pulmonary disease (COPD) is a significant cause of morbidity and mortality in England, however estimates of its prevalence vary considerably. Routinely collected and coded primary care data can be used to monitor disease prevalence, however reliance upon diagnostic codes alone is likely to miss cases.We devised an ontological approach to COPD case detection and implemented it in a large primary care database to identify definite and probable cases of COPD. We used this to estimate the prevalence of COPD in England.Use of this approach to detect definite COPD cases yielded a prevalence of 2.57% (95% CI 2.55-2.60) in the total population, 4.56% (95%CI 4.52-4.61) in those aged ≥ 35 and 5.41% (95% CI 5.36-5.47) in ex or current smokers. The ontological approach identified an additional 10,543 definite cases compared with using diagnostic codes alone. Prevalence estimates were higher than the 1.9% prevalence currently reported by the UK primary care pay for performance (P4P) disease register. COPD prevalence when definite and probable cases were combined was 3.02% (95% CI 3.0-3.05) in the total population, 5.38% (95% CI 5.33-5.42) in those aged ≥ 35 and 6.46% (95% CI 6.46-6.40-6.56) in ex or current smokers.We demonstrate a robust reproducible method for COPD case detection in routinely collected primary care data. Our calculated prevalence differed significantly from current estimates based upon P4P data, suggesting that the burden of COPD in England is greater than currently predicted.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.rmed.2017.10.024

Authors


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Role:
Author
ORCID:
0000-0002-4397-1232
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Department:
Unknown
Role:
Author
ORCID:
0000-0002-8553-2641


Publisher:
Elsevier
Journal:
Respiratory Medicine More from this journal
Volume:
132
Pages:
217-225
Publication date:
2017-11-04
Acceptance date:
2017-10-28
DOI:
EISSN:
1532-3064
ISSN:
0954-6111
Pmid:
29229101


Language:
English
Keywords:
Pubs id:
pubs:1013775
UUID:
uuid:29df793c-820b-4284-b00f-acdffa8260bc
Local pid:
pubs:1013775
Source identifiers:
1013775
Deposit date:
2019-12-10

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