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Improved incidence estimates from linked vs. stand-alone electronic health records

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Title: Improved incidence estimates from linked vs. stand-alone electronic health records
Authors: Millett, ER
Quint, JK
De Stavola, BL
Smeeth, L
Thomas, SL
Item Type: Journal Article
Abstract: © 2016 The Authors.Objective: Electronic health records are widely used for public health research, and linked data sources are increasingly available. The added value of using linked records over stand-alone data has not been quantified for common conditions such as community-acquired pneumonia (CAP). Study Design and Setting: Our cohort comprised English patients aged ≥65 years from the Clinical Practice Research Datalink, eligible for record linkage to Hospital Episode Statistics. Stand-alone general practice (GP) records were used to calculate CAP incidence over time using population-averaged Poisson regression. Incidence was then recalculated for the same patients using their linked GP-hospital admission data. Results of the two analyses were compared. Results: Over 900,000 patients were included in each analysis. Population-averaged CAP incidence was 39% higher using the linked data than stand-alone data. This difference grew over time from 7% in 1997 to 83% by 2010. An increasingly larger number of pneumonia events were recorded in the hospital admission data compared to the GP data over time. Conclusion: Use of primary or secondary care data in isolation may not give accurate incidence estimates for important infections in older populations. Further work is needed to establish the extent of this finding in other diseases, age groups, and populations.
Issue Date: 9-Jan-2016
Date of Acceptance: 4-Jan-2016
URI: http://hdl.handle.net/10044/1/32730
DOI: http://dx.doi.org/10.1016/j.jclinepi.2016.01.005
ISSN: 1878-5921
Publisher: Elsevier
Start Page: 66
End Page: 69
Journal / Book Title: Journal of Clinical Epidemiology
Volume: 75
Copyright Statement: © 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/).
Keywords: Aged
Cohort
Data linkage
Electronic health records
England/epidemiology
Pneumonia
Epidemiology
Medical And Health Sciences
Mathematical Sciences
Publication Status: Published
Appears in Collections:National Heart and Lung Institute
Faculty of Medicine



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