Description The Quality Improvement field has evolved with a set of methods and tools that support change at multiple levels of the health and health care systems. The impact, scale and sustainability of improvement work is determined by project designs that can accommodate or understand bias and can adapt to continuous learning. Thoughtful design and evaluation are critical for disseminating and scaling up promising improvement programs.

The impact and influence of our work can be enhanced by a simple 3-part evaluation framework for improvement research and evaluation that synthesizes existing tools and frameworks from improvement and implementation sciences. The session is directed at QI practitioners and researchers who are responsible for designing improvement work for their organizations and improvement and implementation researchers who are evaluating and disseminating the impact and learning of QI work. Approaches will support improvers to design programs that mitigate biases that otherwise could undermine the credibility of their work and to incorporate rigorous evaluation that will demonstrate how and why the programs did (or did not) work as planned. The session will illustrate the key points of problems and solutions for impact and learning, and the use of the framework through extensive use of examples and case studies of published QI work. Participants will learn how to apply the core design principles and the evaluation framework to achieve greater impact, scale and sustainability of their work, and greater influence of their work though more effective dissemination and publication.