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  • NHS Digital announces patient de-identification software partnership

    NHS Digital announces patient de-identification software partnership

    Thursday, 05 July 2018 16:48
  • Over half of acute trusts are now using GP e-Referral Service

    Over half of acute trusts are now using GP e-Referral Service

    Thursday, 14 June 2018 14:29
  • NEWS app for sepsis scoring available

    NEWS app for sepsis scoring available

    Monday, 04 June 2018 09:58
  • NHS launches National Data Opt-Out facility

    NHS launches National Data Opt-Out facility

    Thursday, 31 May 2018 09:01
  • ePACT to be decommissioned on June 8 as ePACT2 takes over

    ePACT to be decommissioned on June 8 as ePACT2 takes over

    Tuesday, 29 May 2018 12:48

a frail person walking imageSeptember 26 2017

An online frailty calculator has been developed to help GPs better identify their most vulnerable older patients for enhanced care.

 The QFrailty calculator flags up four frailty categories - severe, moderate, mild and fit – and has been shown to “reliably estimate risk of dying within 12 months and risk of unplanned admissions among patients aged between 65 and 100 years old.”

QFrailty has been developed by the University of Nottingham using the QResearch database, which gathers patient data from approximately 1,500 general practices across England through EMIS Health’s clinical computer systems.

Factors taken into account in assessing patients’ frailty include: “age, their body mass index and ethnic group, whether they smoke, how much alcohol they drink and how many emergency admissions to hospital they’d had in the previous 12 months.” In addition, the system takes into account “medical history and whether they suffered from a range of illnesses including cancer, asthma, epilepsy, heart disease, chronic liver disease, Parkinson’s disease and diabetes, as well as looking at medicines being used, such as antipsychotics or anti-inflammatory medication.”

The University points out that since July of this year, “GPs have been contractually obliged by NHS England to identify those patients with moderate and severe frailty to ensure that services can be directed to those most in need.”

One of the system’s developers, Professor Julia Hippisley-Cox, said: “Instead of creating a frailty index in the hope that it would predict unplanned admissions and life expectancy, we decided to work the other way round.

“Starting with principled estimators of unplanned admissions and life expectancy, we have developed a new classification system of frailty, known as QFrailty. This identifies people into four categories – severely frail, moderately frail, mildly frail, or fit – based on their absolute risks of an unplanned hospital admission or death within a year. QFrailty is therefore an outcomes-based classification designed to improve on current approaches”

Links:
University of Nottingham announcement              
EMIS Health announcement         
QResearch             

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