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

Grant search

Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2022
  • Known Financial Commitments (USD)

    $826,115.45
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    Dr. Ben Goldacre
  • Research Location

    United Kingdom
  • Lead Research Institution

    University of Oxford
  • Research 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.

Publicationslinked via Europe PMC

Last Updated:an hour ago

View all publications at Europe PMC

Impact of the COVID-19 pandemic on antidepressant prescribing with a focus on people with learning disability and autism: an interrupted time series analysis in England using OpenSAFELY-TPP.

Antibiotics for common infections in primary care before, during and after the COVID-19 pandemic: cohort study of extent of prescribing based on risks of infection-related hospital admissions.

Ursodeoxycholic acid and severe COVID-19 outcomes in a cohort study using the OpenSAFELY platform.

Using Data to Improve Healthcare: A Case Study of Pancreatic Enzyme Replacement in Pancreatic Cancer.

Interpreting pathology test result values with comparators (< , >) in Electronic Health Records research: an OpenSAFELY short data report

Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: an analysis of monthly changes in the quality and outcomes framework indicators in OpenSAFELY.

Changes in opioid prescribing during the COVID-19 pandemic in England: an interrupted time-series analysis in the OpenSAFELY-TTP cohort.

Changes in sick notes associated with COVID-19 from 2020 to 2022: a cohort study in 24 million primary care patients in OpenSAFELY-TPP.

Risk of emergency hospital admission related to adverse events after antibiotic treatment in adults with a common infection: impact of COVID-19 and derivation and validation of risk prediction models.