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. 2021 Mar-Apr;19(2):135–140. doi: 10.1370/afm.2658

Table 1.

Summary of Database Characteristics

Characteristics QResearch RCGP Research & Surveillance Network Center Clinical Practice Research Datalink UK Biobank
Established, y 2003 1957 1989 2006
GP practices, No. 1,500 (increasing to 2,519 from Sept 2020) 700 1,841 Partial cohort coverage
Current patient records as of Jan 1, 2020, No. 10.6 million (21 million from Sept 2020) 5 million 14 million 0.5 million
Coverage, countries England, Scotland England All of UK England, Scotland, Wales
Age groups All All All 40-69 years at recruitment
Clinical system EMIS Web EMIS Web, INPS Vision, TPP System One EMIS Web, INPS Vision Bespoke system
Birth registration Yes Yes Yes No
Death registration Yes Yes Yes Yes
Sociodemographic data Yes Yes Yes Yes
Ethnicity Yes Yes Yes Yes
Genome-wide genotyping data No No No Yes
Geographical location Yes Yes Yes Yes
Lab tests incl COVID-19 results Yes Yes Yes Yes
Anthropometric data Yes Yes Yes Yes
Clinical signs and symptoms Yes Yes Yes Yes
Drugs prescribed Yes Yes Yes Yes
Radiology reports Yes Yes Yes No
Hospital referral Yes Yes Yes Yes
Hospital diagnosis Yes Yes Yes Yes
GP attendances Yes Yes Yes Partial
Hospital attendance Yes Yes Yes Yes
Additional key linkages to other data setsa
    Hospital episode statistics Yes Yes Yes No
    HES outpatient data Yes Yes Yes No
    HES accident and emergency data Yes Yes Yes No
    HES diagnostic imaging data set Yes Yes Yes No
    Death registration data from the Office for National Statistics Yes Yes Yes Yes
    Intensive care data set: ICNARC Case Mix Program Yes No Pending No
URL for data access https://www.qresearch.org https://www.qresearch.org https://www.cprd.com https://www.ukbiobank.ac.uk/aboutbiobank-uk

COVID-19 = coronavirus disease 2019; GP = general practitioner; HES = hospital episode statistics; ICNARC = Intensive Care National Audit and Research Centre; INPS = In Practice Systems Limited; RCGP = Royal College of General Practitioners; TPP = The Phoenix Partnership.

Note: For more information see relevant websites. The data in these databases are likely to overlap (about 20% of patients will fall into at least 2 of the data sets). Additional governance and approvals will be needed to remove duplicate entries so that a single patient record and characteristics are included.

aFull lists available from each database on request.