Relevant Reviewer Relationships With Industry and Other Entities 945 Appendix C. ACC/AHA/SCAI/AMA-PCPI/NCQA 2013 Percutaneous Coronary Interventions Performance Measures: Summary Analysis Table 948 Preamble American College of Cardiology (ACC)/American Heart Association (AHA) performance measure sets can serve as vehicles to accelerate appropriate translation of scientific evi- dence into clinical practice. These documents are intended to provide practitioners and institutions that deliver cardiovascu- lar services with tools to measure the quality of their care and identify opportunities for improvement. The present set of measures breaks important ground for performance measurement. Here, the writing committee was charged with developing measures to benchmark and improve the quality of one of cardiology s most common and impor- tant procedures: percutaneous coronary intervention (PCI). In this task, the ACC/AHA Task Force on Performance Measures partnered with representatives from several other organiza- tions, including the Society for Cardiovascular Angiography and Interventions (SCAI), the American Medical Association (AMA) Convened Physician Consortium for Performance Improvement (PCPI), and the National Committee for Quality Assurance (NCQA). These bodies provided invalu- able input in the development and review of these measures. The writing committee was instructed to follow the methodol- ogy of performance measure development1,2 and to assure that the measures developed were aligned with national standards so as to promote harmony across measures. The writing commit- tee was also charged with constructing measures that maximally capture multiple important aspects of quality (timeliness, safety, effectiveness, efficiency, equity, and patient-centeredness) while minimizing the reporting burden imposed on participants. As in other cases, all selected measures pose potential chal- lenges to implementation that could result in unintended con- sequences. The manner in which these issues are addressed is dependent on several factors, including the measure design, data collection method, performance attribution, baseline perfor- mance rates, reporting methods, and incentives linked to these reports. 