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How complexity science can inform a reflective process for improvement in primary care practices.
Christine K Stroebel1, Reuben R McDaniel, Benjamin F Crabtree
1ORBIS International, New York, NY, USA.
Joint Commission Journal on Quality and Patient Safety
|September 15, 2005
Summary
Quality improvement in primary care is challenging. A complexity science approach using the Multimethod Assessment Process (MAP)/Reflective Adaptive Process (RAP) can help small practices adapt and achieve sustainable improvements.
Area of Science:
- Primary Care Practice
- Organizational Change
- Complexity Science
Background:
- Traditional quality improvement models often fail in small, independent primary care settings.
- These models assume organizations are predictable, which is inaccurate for most practices.
- Complexity science offers a more suitable framework for understanding primary care dynamics.
Purpose of the Study:
- To introduce and illustrate the Multimethod Assessment Process (MAP)/Reflective Adaptive Process (RAP).
- To demonstrate how complexity science can inform quality improvement in primary care.
- To provide a case example of MAP/RAP application and impact.
Main Methods:
- The Multimethod Assessment Process (MAP)/Reflective Adaptive Process (RAP) is grounded in complexity science principles.
- This process was developed through studies focused on understanding and enhancing primary care.
- A case study is presented to exemplify the application and outcomes of MAP/RAP.
Main Results:
- Understanding a practice's vision and mission is key to guiding change.
- Learning and reflection are crucial for organizational adaptation and planning.
- Embracing tension, discomfort, and diverse perspectives facilitates adaptability and innovation.
Conclusions:
- A reflective change process, viewing organizations as complex adaptive systems, can lead to sustainable improvements in primary care practices.