Imperial College London
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ProfessorPaulAylin

Faculty of Medicine, School of Public Health

Professor of Epidemiology and Public Health
 
 
 
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Contact

 

p.aylin Website

 
 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bottle:2020:10.1186/s12911-020-1082-7,
author = {Bottle, R and Cohen, C and Lucas, A and Saravanakumar, K and Ul-Haq, Z and Smith, W and Majeed, F and Aylin, P},
doi = {10.1186/s12911-020-1082-7},
journal = {BMC Medical Informatics and Decision Making},
title = {How an electronic health record became a real-world research resource: comparison between London’s Whole Systems Integrated Care database and the Clinical Practice Research Datalink},
url = {http://dx.doi.org/10.1186/s12911-020-1082-7},
volume = {20},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundIn the UK, several initiatives have resulted in the creation of local data warehouses of electronic patient records. Originally developed for commissioning and direct patient care, they are potentially useful for research, but little is known about them outside their home area. We describe one such local warehouse, the Whole Systems Integrated Care (WSIC) database in NW London, and its potential for research as the “Discover” platform. We compare Discover with the Clinical Practice Research Datalink (CPRD), a popular UK research database also based on linked primary care records.MethodsWe describe the key features of the Discover database, including scope, architecture and governance; descriptive analyses compare the population demographics and chronic disease prevalences with those in CPRD.ResultsAs of June 2019, Discover held records for a total of 2.3 million currently registered patients, or 95% of the NW London population; CPRD held records for over 11 million. The Discover population matches the overall age-sex distribution of the UK and CPRD but is more ethnically diverse. Most Discover chronic disease prevalences were comparable to the national rates. Unlike CPRD, Discover has identifiable care organisations and postcodes, allowing mapping and linkage to healthcare provider variables such as staffing, and includes contacts with social, community and mental health care. Discover also includes a consent-to-contact register of over 3000 volunteers to date for prospective studies.ConclusionsLike CPRD, Discover has been a number of years in the making, is a valuable research tool, and can serve as a model for other areas developing similar data warehouses.
AU  - Bottle,R
AU  - Cohen,C
AU  - Lucas,A
AU  - Saravanakumar,K
AU  - Ul-Haq,Z
AU  - Smith,W
AU  - Majeed,F
AU  - Aylin,P
DO  - 10.1186/s12911-020-1082-7
PY  - 2020///
SN  - 1472-6947
TI  - How an electronic health record became a real-world research resource: comparison between London’s Whole Systems Integrated Care database and the Clinical Practice Research Datalink
T2  - BMC Medical Informatics and Decision Making
UR  - http://dx.doi.org/10.1186/s12911-020-1082-7
UR  - http://hdl.handle.net/10044/1/79080
VL  - 20
ER  -
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