UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Millett, ERC; Quint, JK; De Stavola, BL; Smeeth, L; Thomas, SL; (2016) Improved incidence estimates from linked vs. stand-alone electronic health records. Journal of Clinical Epidemiology , 75 pp. 66-69. 10.1016/j.jclinepi.2016.01.005. Green open access

[thumbnail of 1-s2.0-S0895435616000135-main.pdf]
Preview
Text
1-s2.0-S0895435616000135-main.pdf - Published Version

Download (214kB) | Preview

Abstract

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.

Type: Article
Title: Improved incidence estimates from linked vs. stand-alone electronic health records
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jclinepi.2016.01.005
Publisher version: http://doi.org/10.1016/j.jclinepi.2016.01.005
Language: English
Additional information: Copyright © 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: PneumoniaElectronic health recordsData linkageAgedEngland/epidemiologyCohort
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/1568438
Downloads since deposit
70Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item