Improving risk adjustment in the PRAiS (Partial Risk Adjustment in Surgery) model for mortality after paediatric cardiac surgery and improving public understanding of its use in monitoring outcomes

• Váldodahkkit: Christina Pagel (Dahkki), Libby Rogers (Dahkki), Katherine Brown (Dahkki), Gareth Ambler (Dahkki), David Anderson (Dahkki), David Barron (Dahkki), Emily Blackshaw (Dahkki), Sonya Crowe (Dahkki), Kate English (Dahkki), Rodney Franklin (Dahkki), Emily Jesper (Dahkki), Laura Meagher (Dahkki), Mike Pearson (Dahkki), Tim Rakow (Dahkki), Marta Salamonowicz (Dahkki), David Spiegelhalter (Dahkki), John Stickley (Dahkki), Joanne Thomas (Dahkki), Shane Tibby (Dahkki), Victor Tsang (Dahkki), Martin Utley (Dahkki), Thomas Witter (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: National Institute for Health Research, 2017-07-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

Background: In 2011, we developed a risk model for 30-day mortality after children's heart surgery. The PRAiS (Partial Risk Adjustment in Surgery) model uses data on the procedure performed, diagnosis, age, weight and comorbidity. Our treatment of comorbidity was simplistic because of data qual...