PredictCAT v1.1

  • Research type

    Research Study

  • Full title

    Predicting Self-Reported Benefit, Supporting Decision Making and Calibrating Health Utilities for Cataract Surgery Part of a NIHR Grant Funded Programme for Applied Research Cataract Surgery: Measuring and Predicting Patient Level Vision Related Health Benefits and Harms

  • IRAS ID

    178787

  • Contact name

    Jess Bisset

  • Contact email

    R&Dsponsorship@uhbristol.nhs.uk

  • Sponsor organisation

    University Hospitals Bristol NHS Foundation Trust

  • Duration of Study in the UK

    2 years, 7 months, 21 days

  • Research summary

    Cataract is an extremely common potentially blinding age related condition. Cataract surgery is the most frequently undertaken surgical procedure on the NHS (~330,000 annually in England). Before and after surgery vision testing is normally done one eye at a time using the (opticians) letter chart. Although useful, testing in this way does not capture people’s everyday experience of their vision. Asking patients about everyday vision, in a structured way, allows the patient’s perception of their eyesight to be ‘measured’.

    Our objective in this study is to quantify patient risk indicators of favourable and poor patient-reported cataract surgical outcomes, based on the Cat-PROM questionnaire developed within work package 1 of the research Programme, in a group of typical NHS cataract patients.

    Additionally we aim to develop an ‘Option Grid’ in which the likelihood of self-reported benefit is set alongside known risks of harm (surgical complications / VA loss) to provide an integrated decision-support tool for personalized prediction of outcomes.
    We will also compare the CatPROM questionnaire with existing health economic utilities and well being measures after cataract surgery alongside which CatPROM will be calibrated. The specific aims can be summarised as:

    1. Quantify specific indicators of self-reported benefit in patients undergoing cataract surgery.
    2. Develop personalised probability based information in ‘Option Grids’ as decision-support tools to assist shared decision making
    3. Investigate how cataract related visual disability should be calibrated against existing and emerging health economic indices

  • REC name

    Yorkshire & The Humber - Leeds West Research Ethics Committee

  • REC reference

    15/YH/0280

  • Date of REC Opinion

    12 Jun 2015

  • REC opinion

    Favourable Opinion