Statistical analysis: A PCI risk model has been developed and risk-adjusted endpoints are compared for the 6 pilot and 120 non-pilot hospital PCI procedures. To compare the demographic and clinical profiles and observed outcomes between CA-NCDR® (non-pilot)and PCI-CAMPOS (pilot), all continuous and categorical variables are reported as mean ± standard deviation (SD) or percentages, and compared with the t test or chi-square test (two tailed), respectively. The primary safety endpoint is a composite event which includes in-hospital death (regardless of length of stay), stroke, and/or patients who were transferred for an emergent CABG. The non-pilot data and the pilot data are merged as a single data source for development of the risk adjustment models for the composite outcome. With the combined data, we perform a bi-variable analysis to identify significant demographic and clinical risk factors for the composite outcome and serve as candidate risk factors for the multivariable logistic risk models. We developed both parsimonious and refined risk models with the combined data and use only non-pilot data for model validation purpose. All models are evaluated with the Hosmer-Lemeshow goodness-of-fit statistic. The c- statistic is reported as a measure of predictive power. The refined model is then used for computation of provider's expected and risk-adjusted composite event rates. A general linear model for analysis of variance (GLM/ANOVA) is used to compare observed, expected and risk-adjusted composite event rates between CA-NCDR® and PCI-CAMPOS hospitals. We further compute 95% confidence interval (CI) of provider's risk-adjusted composite event rate using the Poisson exact probability method for pilot and non-pilot hospitals and pilot operators. We determine provider's performance rating based on a comparison of the 95%CI of provider's risk-adjusted composite event rates and to the California average composite event rate that includes both CABG on-site and off-site hospitals. Two performance rating analyses are conducted for hospitals (or operators in pilot hospitals): (1) based on all PCIs and (2) based on PCIs with STEMI excluded. We also assess the correlation between provider's total and STEMI excluded PCI volume and risk-adjusted composite event rate among hospitals and operators in pilot hospitals. All reported p-values are 2-sided, and p-value < 0.05 are considered to be statistically significant. All statistical analyses are conducted at the UCD with the use of SAS software, version 9.3 for Windows (SAS Institute, Cary, NC).