Bookmarks

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. Visit the BHF Data Science Centre website for more detailed information about project outputs. https://bhfdatasciencecentre.org/projects/ccu005/

Technical summary

This project used the following datasets within the Trusted Research Environment for CVD-COVID-UK / COVID-IMPACT: - SICSAG Episodes (Scottish Intensive Care Audit Group) - SICSAG Daily (Scottish Intensive Care Audit Group) - National Records of Scotland (NRS) - Deaths Data - Outpatient Appointments and Attendances - Scottish Morbidity Record (SMR00) - Prescribing Information System (PIS) - General Acute Inpatient and Day Case - Scottish Morbidity Record (SMR01) - Scotland Accident and Emergency - SAIL Dementia e-Cohort (SDEC) - Welsh Results Reports Service (WRRS) - Welsh Ambulance Services NHS Trust (WAST) - Legacy - Emergency Department Dataset Daily (EDDD) - Outpatient Referral (OPRD) - Patient Episode Dataset for Wales (PEDW) - COVID-19 Test Trace and Protect (CTTP) - Legacy - Referral to Treatment Times (RTTD) - Maternity Indicators Dataset (MIDS) - Welsh Longitudinal General Practice Dataset (WLGP) - Welsh Primary Care - Sentinel Stroke National Audit Programme Clinical Dataset - Trusted Research Environments for CVD-COVID-UK / COVID-IMPACT - Covid-19 Second Generation Surveillance System - Hospital Episode Statistics Outpatients - Medicines Dispensed in Primary Care (NHSBSA Data) - Hospital Episode Statistics Admitted Patient Care - Civil Registration - Deaths - Hospital Episode Statistics Critical Care - COVID-19 SARI-Watch (formally CHESS)

Latest approval date

30/10/2020

Safe Data

Dataset(s) name

Data sensitivity level

De-Personalised

Safe Setting

Access type

TRE

end of page