MEASURING WHAT MATTERS- IS STANDARDIZED OUTCOMES MEASUREMENT NECESSARY AND FEASIBLE TO SUPPORT VALUE-BASED CARE?

Author(s)

Elise Berliner, PhD, Agency for Healthcare Research and Quality, Rockville, USA; Sarah Cutrona, MD, MPH, University of Massachusetts Medical School, Worcester, USA; Patricia Franklin, MD, MBA, MPH, University of Massachusetts Medical School, Worcester, USA; Richard Gliklich, MD, OM1, Cambridge, USA

ISSUE: The concept of value­-based care has received much attention recently, with the development of payment models that emphasize patient outcomes and frameworks to guide decision­making. Outcomes are a critical component of value-­based care, but the ability to compare data across providers, health systems, and patient populations is limited by variations in outcomes measurement captured in administrative data and electronic health records during routine clinical care. One approach to address this variation is to develop standardized outcome measures. Yet, despite multiple initiatives, little progress has been made in this area to date, raising questions about whether standardization is necessary or if other approaches could be used to support consistent outcome measurement.  OVERVIEW: Value, defined as outcomes divided by cost, is the focus of multiple initiatives across health care, from bundled payment agreements between providers and payers, to value assessment frameworks to inform patient and clinician decision ­making, to outcomes-­based agreements between pharmaceutical and device manufacturers and payers. Outcomes are a fundamental component of value-­based care, but the selection and definition of outcome measures varies across research studies and across care settings. This may lead to an “apples vs. oranges” comparison, and misleading conclusions about the quality of care using different medical products or approaches, by different providers, or in different settings. However, setting up a process to reach consensus across multiple stakeholders on outcome measure definitions is difficult, and even when those standardized definitions exist, it is difficult to implement in routine clinical practice. The panelists will take different positions to present the pros and cons of moving to a standardized framework for outcomes measurement drawing on Dr. Cutrona’s research to validate outcomes from administrative data for mini-Sentinel and using information captured in electronic health records, Dr. Gliklich’s work to develop a standardized outcome measures framework with AHRQ, and Dr. Franklin’s experience implementing standardized outcome measures in the clinical workflow.

Conference/Value in Health Info

2017-05, ISPOR 2017, Boston, MA, USA

Code

IP22

Topic

Clinical Outcomes, Health Policy & Regulatory

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