Administrative Model for Profiling Hospital Performance on Coronary Artery Bypass Graft Surgery: Based on the Chinese Hospital Quality Monitoring System

Abstract

Background We aimed to develop an administrative model to profile the performance on the outcomes of coronary artery bypass grafting across hospitals in China. Methods and Results This retrospective study was based on the Chinese Hospital Quality Monitoring System (HQMS) from 2016 to 2020. The coronary artery bypass grafting cases were identified by procedure code, and those of 2016 to 2017 were randomly divided into modeling and validation cohorts, while those in other years were used to ensure the model stability across years. The outcome was discharge status as “death or withdrawal,” and that withdrawal referred to discharge without medical advice when patients were in the terminal stage but reluctant to die in the hospital. Candidate covariates were mainly identified by diagnoses or procedures codes. Patient‐level logistic models and hospital‐level hierarchical models were established. A total of 203 010 coronary artery bypass grafts in 699 hospitals were included, with 60 704 and 20 233 cases in the modeling and validation cohorts and 40 423, 42 698, and 38 952 in the years 2018, 2019, and 2020, respectively. The death or withdrawal rate was 3.4%. The areas under the curve were 0.746 and 0.729 in the patient‐level models of modeling and validation cohorts, respectively, with good calibration and stability across years. Hospital‐specific risk‐standardized death or withdrawal rates were 2.61% (interquartile range, 1.87%–3.99%) and 2.63% (interquartile range, 1.97%–3.44%) in the modeling and validation cohorts, which were highly correlated (correlation coefficient, 0.96; P <0.001). Between‐hospital variations were distinguished among hospitals of different volumes and across years. Conclusions The administrative model based on Hospital Quality Monitoring System could profile hospital performance on coronary artery bypass grafting in China.