The Value Transformation Framework: An Approach to Value-Based Care in Federally Qualified Health Centers

J Healthc Qual. 2020 Mar/Apr;42(2):106-112. doi: 10.1097/JHQ.0000000000000239.

Abstract

Background: With the transition toward value-based care, health care organizations have a business imperative to simultaneously focus on improved health outcomes, improved patient and staff experience, and reduced costs (the Quadruple Aim). For federally qualified health centers-which provide care to some of nation's most vulnerable populations-balancing the complex task of systems change in the face of overwhelming volumes of information and best practices is challenging and can be supported through a guiding framework.

Purpose: This need for synthesis and translation of evidence in an actionable and practical way led to the design of a model for health center systems change. This article describes the development process and defines the resulting conceptual framework.

Methods: Deployed a four-step process between 2016 and 2018 to develop and test a framework for value transformation in health centers.

Results: NACHC's Quality Center developed the Value Transformation Framework to guide health center systems change toward high value care. The framework identifies 15 change areas across three Domains: infrastructure, care delivery, and people and summarizes evidence-based action steps within the change areas.

Conclusions: The framework shows promise in supporting health center efforts to adapt, transform, and balance competing demands as they advance value-based models of care.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Delivery of Health Care / economics*
  • Delivery of Health Care / statistics & numerical data*
  • Evidence-Based Medicine / economics*
  • Evidence-Based Medicine / statistics & numerical data*
  • Hospitals, Federal / economics*
  • Hospitals, Federal / statistics & numerical data*
  • Humans
  • Quality of Health Care / economics*
  • Quality of Health Care / statistics & numerical data*
  • United States