EPS has saved prescribers £327 million

EPS has saved prescribers £327 million

October 13 2017 The Electronic Prescription Service saved £327 million for prescribers...

SCR accessed every five seconds

SCR accessed every five seconds

October 2 2017 The electronic Summary Care Record of patient information is now being accessed...

Software frailty calculator will help GPs target patients for better care

Software frailty calculator will help GPs target patients for better care

September 26 2017 An online frailty calculator has been developed to help GPs better identify...

Hunt calls for increased use of apps to access NHS services and information

Hunt calls for increased use of apps to access NHS services and information

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Guides issued to help disabled people access online GP services

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  • EPS has saved prescribers £327 million

    EPS has saved prescribers £327 million

    Friday, 13 October 2017 10:03
  • SCR accessed every five seconds

    SCR accessed every five seconds

    Monday, 02 October 2017 12:49
  • Software frailty calculator will help GPs target patients for better care

    Software frailty calculator will help GPs target patients for better care

    Tuesday, 26 September 2017 16:06
  • Hunt calls for increased use of apps to access NHS services and information

    Hunt calls for increased use of apps to access NHS services and information

    Wednesday, 20 September 2017 14:41
  • Guides issued to help disabled people access online GP services

    Guides issued to help disabled people access online GP services

    Wednesday, 20 September 2017 14:34

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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