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Model for Doctor of Nursing Practice Projects Based on Cross-Fertilization Between Improvement and Implementation
Azizeh Sowan1, Matthew Chinman2,3
1School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.
This study introduces a hybrid model integrating improvement and implementation sciences for Doctor of Nursing Practice (DNP) projects. The model enhances quality improvement (QI) and program evaluation, guiding students toward successful knowledge implementation.
Area of Science:
- Nursing Science
- Implementation Science
- Quality Improvement
Background:
- Doctor of Nursing Practice (DNP) graduates are leaders in knowledge implementation for healthcare improvement.
- DNP projects face challenges in methodology, rigor, and outcomes due to varied models.
- Traditional quality improvement (QI) methods show limitations in complex healthcare systems.
Purpose of the Study:
- To develop, implement, and evaluate a hybrid model for QI and program evaluation in DNP scholarship.
- To guide DNP students in leading knowledge implementation projects effectively.
- To address faculty and student dissatisfaction with DNP project outcomes.
Main Methods:
- A hybrid model was created by integrating improvement and implementation sciences.
- Adapted Getting to Outcome (GTO) and Knowledge to Action (KTA) models for knowledge implementation.
- Incorporated Consolidated Framework for Implementation Research (CFIR) for barriers/facilitators and evidence-based strategies/QI tools.
Main Results:
- The hybrid model fostered systematic thinking, provided essential implementation tools, and emphasized adaptability.
- It maintained rigor in QI and guided the sustainability of change initiatives.
- Student challenges included finding valid measures, securing buy-in, and managing competing priorities.
Conclusions:
- Integrating improvement and implementation sciences offers a roadmap for successful DNP QI projects.
- The hybrid model, using CFIR, GTO/KTA, and QI tools, addresses healthcare complexity and adaptability needs.
- This approach enhances the scientific rigor and effectiveness of DNP scholarly work.
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