Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database

6 Pages Posted: 26 Aug 2016

See all articles by Jenna Reps

Jenna Reps

University of Nottingham - School of Computer Science

Jan Feyereisl

University of Nottingham - School of Computer Science

Jonathan Garibaldi

University of Nottingham - School of Computer Science

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems

Jack Gibson

University of Nottingham - Division of Epidemiology and Public Health

Richard Hubbard

University of Nottingham - School of Medicine

Date Written: January 1, 2011

Abstract

Data-mining techniques have frequently been developed for Spontaneous reporting databases. These techniques aim to find adverse drug events accurately and efficiently. Spontaneous reporting databases are prone to missing information, under reporting and incorrect entries. This often results in a detection lag or prevents the detection of some adverse drug events. These limitations do not occur in electronic healthcare databases. In this paper, existing methods developed for spontaneous reporting databases are implemented on both a spontaneous reporting database and a general practice electronic health-care database and compared. The results suggests that the application of existing methods to the general practice database may help find signals that have gone undetected when using the spontaneous reporting system database. In addition the general practice database provides far more supplementary information, that if incorporated in analysis could provide a wealth of information for identifying adverse events more accurately.

Suggested Citation

Reps, Jenna and Feyereisl, Jan and Garibaldi, Jonathan and Aickelin, Uwe and Gibson, Jack and Hubbard, Richard, Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database (January 1, 2011). Available at SSRN: https://ssrn.com/abstract=2829246 or http://dx.doi.org/10.2139/ssrn.2829246

Jenna Reps

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Jan Feyereisl

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Jonathan Garibaldi

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Uwe Aickelin (Contact Author)

University of Melbourne - School of Computing and Information Systems ( email )

Australia

Jack Gibson

University of Nottingham - Division of Epidemiology and Public Health ( email )

University Park
Nottingham, NG8 1BB
United Kingdom

Richard Hubbard

University of Nottingham - School of Medicine ( email )

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
24
Abstract Views
384
PlumX Metrics