Leveraging machine learning approach to identify relationships between practice facilitation strategies and practice characteristics based on the implementation research logic model

The combination of ML and the theory behind the IRLM can be used to identify relationships between inner and outer context determinants and implementation strategies and study outcomes in pragmatic research study datasets. All the proposed strategies in H3 were statistically associated with completed QI interventions; and the strategies had more impact on the implementation of interventions than CPCQ change. By understanding the relationship between outcomes, practice determinants and coaching strategies, practice facilitators can better help primary care practices adapt and implement interventions and build capacity to adapt to change.