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CCU005: Data management and analysis methods

Safe People

Organisation name

University of Cambridge

Organisation sector

Academic Institute

Applicant name(s)

Angela Wood

Sub-licence arrangements (if any)?

No

Safe Projects

Project ID

CCU005

Lay summary

Since the COVID-19 pandemic, there has been rapid progress made towards the availability and accessibility of national healthcare data for research. Consequently, for the first time we are analysing data from over 65 million patients across the UK to help us understand more about COVID-19. Our analyses have the advantages of being able to study individuals with and without different health-related problems across all age groups, ethnicities, geographies and socioeconomic settings. Our results will be directly relevant to everyone living in the UK. However, there are a number of challenges and limitations to using routinely collected healthcare data for research. The problems mainly arise because electronic health records are designed for clinical purposes, and do not necessary provide an accurate picture of the true health status on all patients at all times. If we do not address these problems properly in the analysis, then we will get biased results and make incorrect conclusions. We aim to identify and provide solutions to address the challenges and limitations in the analysis of population-wide healthcare data. Ultimately, we want to ensure results arising from population-data healthcare data are accurately reported.

Public benefit statement

We aim to identify and provide solutions to address the challenges and limitations in the analysis of population-wide healthcare data. Ultimately, we want to ensure results arising from population-data healthcare data are accurately reported.

Latest approval date

30/10/2020

Safe Data

Dataset(s) name
Data sensitivity level

De-Personalised

Safe Setting

Access type

TRE