Optimising resource allocation via prediction of outcomes for Covid-19 [COVID-19]

  • Research type

    Research Study

  • Full title

    Optimising resource allocation via prediction of outcomes for suspected and proven Covid-19

  • IRAS ID

    282490

  • Contact name

    Timothy R Card

  • Contact email

    tim.card@nottingham.ac.uk

  • Sponsor organisation

    Nottingham University Hospitals NHS Trust

  • Duration of Study in the UK

    0 years, 2 months, 31 days

  • Research summary

    We plan to use all of the information available within our local NHS hospitals Trust to work out what happens to people admitted with both suspected and proven Covid-19 infections. We will use all of the information that we can to provide the most evidence possible to use in our investigation as this will make the results more accurate. This will include information on existing health conditions (e.g. by looking at previous discharge letters, GP summaries), clinical observations recorded in the hospital (e.g. temperature, blood pressure, pulse, oxygen levels) and laboratory measures (e.g. blood markers of infection). Our experienced team will then analyse all of this together with information about whether the person has Covid-19 to help work out what any new patients’ risk will be. To do this we need to use individual patients’ information, however once removed from the hospital records system it will not be identifiable and will be held securely within the hospital at all times. \nAs a result of this work we plan to be able to do two things:\n1.\tWhen a patient is admitted to hospital with possible or confirmed Covid-19 we will be able to make a highly accurate prediction of what is likely to happen to them (e.g. being admitted to high dependency or intensive care, dying or surviving to discharge) which will help health care professional make decisions about their care.\n2.\tBy knowing what is likely to happen to a patient we are able to make informed decisions about how to distribute healthcare resources e.g. which areas are likely to need more ventilators (machines to help with breathing), need for intensive care beds, discharge planning.\n [Study relying on COPI notice]

  • REC name

    West Midlands - Black Country Research Ethics Committee

  • REC reference

    20/WM/0142

  • Date of REC Opinion

    27 Apr 2020

  • REC opinion

    Favourable Opinion