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OpenSAFELY
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Sample details

OpenSAFELY is a secure, transparent, open-source software platform for the analysis of electronic health record data. All platform activity is publicly logged. All code for data management and analysis is shared under open licenses and, by default, for scientific review and efficient re-use. It is currently executing code across a large amount of data: 58 million patients full raw NHS England General Practice (GP) records, linked onto various other sources.

Study design
Registry

Number of participants at first data collection

~58000000 (participants)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
96% of the English population between 1 February 2020 and 25 May 2021, registered with NHS England.

Sample features

Open cohort
Registry
Dataset details

Countries

England, United Kingdom of Great Britain and Northern Ireland

Year of first data collection

2020

Primary Institutions

EMIS Health

London School of Hygiene and Tropical Medicine (LSHTM)

National Health Service (NHS)

The Phoenix Partnership (TPP)

University of Oxford

Links

opensafely.org/

doi.org/10.1038/s41586-020-2521-4

Funders

Medical Research Council (MRC)

National Core Studies (NCS)

National Institute for Health and Care Research (NIHR)

United Kingdom Research and Innovation (UKRI)

Wellcome Trust

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Healthcare data
  • Mortality data
Features

Engagement

  • Community engagement
  • Community engagement
  • Keywords

    COVID-19
    Electronic health records
    General Practice (GP)
    National registry
    Physical health
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    © 2024 Louise Arseneault

    Platform by Delosis