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Area of Science:

  • Health services research
  • Public health policy
  • Healthcare system innovation

Background:

  • Washington State received a $65 million federal award for the State Innovation Models (SIM) initiative.
  • The goal is to enhance population health, improve care quality, and control healthcare costs statewide.
  • SIM is a complex intervention within a decentralized health system, presenting evaluation challenges.

Purpose of the Study:

  • To present the state-level evaluation methods for Washington's 3-year SIM intervention (2016-2018).
  • To apply the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework for structured evaluation.
  • To outline a plan for using mixed methods to assess SIM performance across RE-AIM components.

Main Methods:

  • Utilizing the RE-AIM evaluation framework to structure the study.
  • Developing a conceptual model for the evaluation.
  • Employing multiple and mixed methods for comprehensive data collection and analysis.
  • Adopting a statewide, population-based perspective for evaluation.

Main Results:

  • The study outlines the evaluation methodology for a large-scale state health innovation initiative.
  • The RE-AIM framework provides a structure for assessing complex interventions.
  • A mixed-methods approach is proposed for a comprehensive statewide evaluation.

Conclusions:

  • The proposed evaluation methods provide a robust framework for assessing the impact of the State Innovation Models initiative.
  • Applying the RE-AIM framework and mixed methods is crucial for understanding complex health system interventions.
  • This approach enables a statewide, population-based assessment of healthcare quality and cost improvement efforts.