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


Millett, ER; Quint, JK; De Stavola, BL; Smeeth, L; Thomas, SL; (2016) Improved incidence estimates from linked versus stand-alone electronic health records. Journal of clinical epidemiology, 75. pp. 66-9. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2016.01.005

[img]
Preview
Text - Published Version
License:

Download (207kB) | Preview
[img] Text - Accepted Version
License:

Download (49kB)
[img] Text - Accepted Version
License:

Download (14kB)

Abstract

: 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).<br/> : 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.<br/> : 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.<br/> : 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.<br/>

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Research Centre: Centre for Statistical Methodology
EHR Research Group
PubMed ID: 26776084
Web of Science ID: 378976300009
URI: http://researchonline.lshtm.ac.uk/id/eprint/2537154

Statistics


Download activity - last 12 months
Downloads since deposit
126Downloads
118Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item