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

Authors :: Zima BT
Source :: Child and adolescent psychiatric clinics of North America [Child Adolesc Psychiatr Clin N Am] 2020 Oct; Vol. 29 (4), pp. 703-731. Date of Electronic Publication: 2020 Jul 29.
Publication Year :: 2020
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).<br />Competing Interests: Disclosure The author has nothing to disclose.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)

Subjects :: Health Policy
Humans
Psychometrics
Data Collection
Mental Health Services standards
Patient Reported Outcome Measures
Program Evaluation
Quality Improvement

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