Measurement-based Data to Monitor Quality: Why Specification at the Population Level Matter?

Abstract

Measurement-based care is conceptualized as a driver for quality improvement. The triple aim in the National Quality Strategy purposively muddles the population levels to provide a health policy goal that is encompassing, transactional, and will stimulate change. Specification of the population level has implications for the purpose, proposed target mechanisms that drive quality improvement, methodologic challenges, and implications for program evaluation and data interpretation. To demonstrate, population levels are conceptualized at the individual (tier 1), clinical aggregate (tier 2), and national level (tier 3).

Keywords: Child mental health; Performance measurement; Quality measures; Routine outcome monitoring.