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Using the consolidated framework for implementation research to evaluate clinical trials: An example from multisite
Linda L Costa1, Kathleen Bobay2, Ronda Hughes3
1University of Maryland School of Nursing, Organizational Systems and Adult Health, Baltimore, MD.
The Consolidated Framework for Implementation Research (CFIR) identified seven key factors that differentiate high and low implementation fidelity in multi-site studies. This framework aids in understanding context
Area of Science:
- Implementation Science
- Translational Research
- Healthcare Management
Background:
- The Consolidated Framework for Implementation Research (CFIR) offers a structured approach to identify factors influencing the successful implementation of complex interventions in clinical settings.
- Understanding these factors is crucial for optimizing the integration of research findings into practice.
Purpose of the Study:
- To investigate implementation constructs within a multi-site translational research study focused on hospital discharge readiness.
- To differentiate study sites exhibiting low versus high implementation fidelity using the CFIR framework.
Main Methods:
- A descriptive study design was employed, involving interviews with Principal Investigators from eight high-fidelity and eight low-fidelity sites.
- Interviews were guided by questions derived from 20 relevant CFIR constructs.
- Data analysis utilized CFIR-specific rules, a rating scale from +2 to -2, and NVivo 11 for memo creation.
Main Results:
- A bimodal distribution of differences was observed, with seven CFIR constructs significantly distinguishing between high and low fidelity sites (≥5-point difference).
- These seven constructs represent critical determinants of implementation success.
Conclusions:
- The CFIR serves as a valuable determinant framework for pinpointing contextual elements that impact implementation fidelity.
- Applying the CFIR can enhance the understanding of factors influencing clinical research outcomes and intervention effectiveness.
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