The American College of Surgeons National Surgical Quality Improvement Program: achieving better and safer surgery.

BACKGROUND: The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP), in operation since late 2004, evaluates surgical quality and safety by feeding back valid, timely, risk-adjusted outcomes, which providers use to improve care. METHODS: A number of components have been developed and refined in the more than a decade since ACS NSQIP's initiation. These items can be grouped into areas of data collection, case sampling, risk adjustment, feedback reporting, the expansion into procedure-targeted sampling, development of improvement collaboratives, and the development of improvement tools. Although ACS NSQIP was originally designed as a hospital-based program, it now also allows for surgeon-specific reporting that can be used by individual surgeons as a feedback tool to improve their performance. RESULTS: There are more than 600 ACS NSQIP hospitals in 49 of the 50 states of the United States and in 13 other countries. Virtually all surgical (sub)specialties are touched by ACS NSQIP, which contains several million patient records and more than 100 statistically risk-adjusted models. In studies that have used ACS NSQIP clinical data, demonstrable improvement has been reported in local hospitals, in regional collaboratives, and across the program overall. Concomitantly, substantial cost savings for individual hospitals, as well as at regional and national levels, have been reported. CONCLUSION: ACS NSQIP has not only demonstrated how and why the use of accurate clinical data is crucial, but also how the program, through its risk-adjusted feedback, improvement tools, and hospital collaboratives, helps hospitals and providers to achieve safer surgery and better patient care.

Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus.

The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) collects detailed clinical data from participating hospitals using standardized data definitions, analyzes these data, and provides participating hospitals with reports that permit risk-adjusted comparisons with a surgical quality standard. Since its inception, the ACS NSQIP has worked to refine surgical outcomes measurements and enhance statistical methods to improve the reliability and validity of this hospital profiling. From an original focus on controlling for between-hospital differences in patient risk factors with logistic regression, ACS NSQIP has added a variable to better adjust for the complexity and risk profile of surgical procedures (procedure mix adjustment) and stabilized estimates derived from small samples by using a hierarchical model with shrinkage adjustment. New models have been developed focusing on specific surgical procedures (eg, "Procedure Targeted" models), which provide opportunities to incorporate indication and other procedure-specific variables and outcomes to improve risk adjustment. In addition, comparative benchmark reports given to participating hospitals have been expanded considerably to allow more detailed evaluations of performance. Finally, procedures have been developed to estimate surgical risk for individual patients. This article describes the development of, and justification for, these new statistical methods and reporting strategies in ACS NSQIP.