M any are familiar with the adage that Byou can't improve what you can't measure.^Adopting clinical performance measures was an important part of the VA transformation of the 1990s, and measuring clinical performance has become an integral part of current efforts to drive improvement under Medicare, the Affordable Care Act (ACA), and in programs run by private payers. Measuring clinical performance, however, is a health system intervention, and as such, needs to be carefully examined. This includes how measures are created, how they are implemented, and the evidence for their potential benefits and harms. The landscape of healthcare has also changed substantially since the advent of the performance measurement movement, and it is time to update our approach to measuring quality. Rather than setting a single standard, identifying a random number of patients to whom the measure should apply, and conducting manual chart reviews at a single point in time, we need to be assessing quality for the entire population, including the more complex patients. A world with electronic health records and a much richer array of administrative and clinical data allows us to update our approach to include measures that consider population health, episodes of care, changes over time, and individual circumstances. The Department of Veterans Affairs (VA), which operates the largest integrated healthcare system in the United States, is a key contributor to the emerging knowledge base regarding how best to create and implement performance measures.Funded by the VA's Health Services Research and Development (HSR&D) Service, this Journal of General Internal Medicine (JGIM) Supplement is the product of an HSR&D-sponsored state-of-the-art (SOTA) conference titled BNext-Generation Clinical Performance Measures: Patient-Centered, Clinically Meaningful, and High Value,^held in 2014. After the conference, a Call for Papers was issued, and 14 manuscripts were submitted to JGIM. After rigorous JGIM peer review, ten articles were accepted for publication in this special JGIM Supplement. Published papers discuss empirical research on the effects of performance measurement on improvements in clinical care, as well as on unintended outcomes (e.g., inappropriate treatment or over-treatment). Papers also describe new methods and methodological challenges in the selection and creation of performance measures that incorporate measures of benefit and harm, value, or patient preferences, as well as research on the implementation of performance measures that address human factors, incentives and facilitators, barriers, and expected and unintended consequences.
USING VA'S ELECTRONIC HEALTH RECORD SYSTEM TO MEASURE QUALITYThree papers examined the ability to use VA electronic data to measure clinical quality in specific clinical areas. Phipps and colleagues developed and validated inpatient stroke electronic clinical quality measures that are part of the Meaningful Use (MU) program and VA efforts to improve inpatient stroke care. 1 The authors found that stro...