title: Validation of the hospital outcome prediction equation (HOPE) model for monitoring clinical performance.
abstract: BACKGROUND
  The aim of this study was to validate a risk-adjusted hospital outcome prediction equation (HOPE) using a statewide administrative dataset.
  
  
  METHODS
  Retrospective observational study using multivariate logistic regression modelling. Calibration and discrimination were assessed by standardized mortality ratio (SMR), area under the receiver operating characteristic plot (ROC AUC), Hosmer-Lemeshow contingency tables and goodness-of-fit statistic in an independent dataset, and in all 23 important tertiary, metropolitan and regional hospitals. The dependent variable was in-hospital death. All consecutive adult hospital separations between 1 July 2004 and 30 June 2006, excluding obstetric and day-case only admissions, from all acute health services within the State of Victoria, Australia were included.
  
  
  RESULTS
  A total of 379 676 consecutive records (1 July 2004 to 30 June 2005) was used to derive the HOPE model. Six variables (age, male sex, admission diagnosis, emergency admission, aged-care resident and inter-hospital transfer) were selected for inclusion in the final model. It was validated in the 384 489 consecutive records from the following year (1 July 2005 to 30 June 2006). The 95% confidence interval for the SMR was 0.98-1.02, and for the ROC AUC, 0.87-0.88. Discrimination and (one or more) calibration criteria were achieved in 22 (96%) of the 23 hospitals.
  
  
  CONCLUSIONS
  The HOPE model is a simple risk-adjusted outcome prediction tool, based on six variables from data that are routinely collected for administrative purposes and appears to be a reliable predictor of hospital outcome.
authors.affiliation: Critical Care Department, The Northern Hospital, Melbourne, Victoria, Australia. graeme.duke@nh.org.au
authors.forename: G J
authors.initials: GJ
authors.lastname: Duke
authors.forename: M
authors.initials: M
authors.lastname: Graco
authors.forename: J
authors.initials: J
authors.lastname: Santamaria
authors.forename: F
authors.initials: F
authors.lastname: Shann
mesh_terms: D005260:Female; D005544:Forecasting; D017052:Hospital Mortality / Q000639:trends*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D017063:Outcome Assessment, Health Care / Q000592:standards* / Q000639:trends*; D012189:Retrospective Studies