OpenSAFELY, ISARIC, PHOSP: tracking consequences of COVID-19 infection across UK primary and secondary care.
- Funded by UK Research and Innovation (UKRI)
- Total publications:46 publications
Grant number: MR/W016729/1
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Key facts
Disease
COVID-19Start & end year
20212022Known Financial Commitments (USD)
$826,115.45Funder
UK Research and Innovation (UKRI)Principal Investigator
Dr. Ben GoldacreResearch Location
United KingdomLead Research Institution
University of OxfordResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
Special Interest Tags
N/A
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
The prevalence and severity of health consequences for patients who have had COVID-19 are not currently known. There is also little data on which patients are most at risk of ongoing health and care needs. We must understand post-covid prognosis and risks to inform choices around prevention and treatment, design services, predict need, inform patients about their risks and prognosis, mitigate individuals' risks, and improve clinical outcomes. We will link data and combine expertise from three key projects to provide an unprecedented, comprehensive, longitudinal, patient-level view on COVID-19 patients in England: OpenSAFELY, running across patients' full primary and secondary care electronic health records (40% of patients in England, rising to 95% during the course of the project). ISARIC, with detailed data on >80,000 COVID-19 patients' in-hospital presentation and management. PHOSP, collecting bespoke symptom and laboratory data over 12 months on 10,000 hospitalised COVID-19 survivors. Using OpenSAFELY EHR data linked to ISARIC and PHOSP cohort data we will:- Assess risk of specific diagnoses, presentations, treatments, investigation findings, and symptoms that are elevated following COVID-19, in hospitalised and non-hospitalised patients. - Evaluate the impact of age, ethnicity, prior medical history, COVID-19 disease severity and in-hospital treatment on variation in recovery and complications. - Evaluate the extent to which PHOSP findings generalise to non-admitted COVID-19 patients. - Describe the impact of "long COVID" on health service utilisation to help predict service design and need.- Estimate excess morbidity associated with COVID-19- Develop tools to inform shielding policy based on long-term outcomes. - Share open code resources.
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