Principles | Reason to assess principle | Ways to assess principle |
---|---|---|
Principle 1: Gather data to describe types of changes made by healthcare organizations, how changes are implemented, and the evolution of the change process | To establish initial conditions for implementing innovations at each site and to describe implementation changes over time | - Interview with healthcare organizations to establish detailed understanding of the plan for implementing change at baseline by engaging organizational leaders |
- Use mixed methods to monitor how this plan evolves | ||
Principle 2: Collect process and outcome data that are relevant to healthcare organizations and to the research team | To engage healthcare organizations in research and in continuous learning and quality improvement | - Identify target populations and process and outcome measures of interest to organizations |
- Identify relevant process measures to track for selected target populations | ||
- Track performance on selected measures at regular time intervals throughout implementation | ||
Principle 3: Assess multi-level contextual factors that affect implementation, process, outcome, and transportability | Contextual factors influence quality improvement; need to evaluate conditions under which innovations may or may not result in anticipated outcomes | - Collect qualitative and quantitative contextual data in real time |
- Conduct rigorous analysis to identify key contextual factors affecting outcomes | ||
Principle 4: Assist healthcare organizations in applying data to monitor the change process and make further improvements | To facilitate continuous quality improvement and to stimulate learning within and across organizations | - Synthesize, summarize, and share data with organizations at regular intervals |
- Discuss data with leaders to stimulate further improvement | ||
- Assist organizations in learning from their own data to refine their innovations with a focus on continuous learning | ||
Principle 5: Operationalize common measurement and assessment strategies with the aim of generating transportable results. | To conduct internally valid cross-organization mixed methods analyses | - Harmonize process and outcome measures across organizations by engaging organizational leaders |
- Create a set of common measures relevant to all organizations (e.g., screening rates). This allows meaningful statistical and qualitative comparisons across organizations |