1. Research in academic or closed-panel settings | Conduct research in real-world, limited resource, high-disparity primary care practice settings |
2. Nondiverse research teams | Develop diverse research teams that are proportionately representative of the disparity population being studied |
3. Investigator-initiated research | True community partnership |
4. Focus on changing provider behaviors | Research on systems change involving patients, teams, and processes of care |
5. ‘Inside-the-practice’ research | Blur the boundaries between practice-based research and community-based interventions |
6. Focus on process measures | Measure health outcomes at the community population health level |
7. Narrowly focused single disease interventions | Address complex mix of disparities in chronic disease outcomes, risk factors, and mental health co-morbidities |
8. Experiments test one intervention | Test multidimensional interventions that triangulate on improved outcomes from at least three directions—provider, patient, and community |
9. Static interventions held constant throughout the study period | Test dynamic, constantly-improving interventions |
10. Academic cycle time | Rapid-change cycles, continuously revising intervention based on rapid-feedback health outcomes data loops |
11. Randomized-controlled clinical trials | Alternative study designs to measure multidimensional, dynamic interventions repeatedly |
12. Replicability without scalability | Test interventions that are both replicable and scalable in real-world, underresourced settings that serve high-disparity populations |