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Developing primary care teams prepared to improve quality: a mixed-methods evaluation and lessons learned from
Nancy Pandhi1, Sally Kraft2,3, Stephanie Berkson3,4
1Department of Family and Community Medicine, University of New Mexico School of Medicine, MSC 09 5040, 1 University of New Mexico, Albuquerque, NM, 87131, USA. npandhi@salud.unm.edu.
Implementing a clinical microsystems approach in primary care improved team dynamics and quality improvement skills. However, challenges like time constraints and data integration persist, indicating a need for broader system changes.
Area of Science:
- Healthcare Management
- Quality Improvement Science
- Primary Care Research
Background:
- Healthcare systems face pressure to lead in quality for market competitiveness.
- The clinical microsystems framework is a key strategy for developing effective clinical teams.
- Limited research exists on applying the microsystems approach in US primary care.
Purpose of the Study:
- To evaluate the implementation and impact of a Microsystems approach in a large academic health system.
- To identify lessons learned from a 6-year initiative involving 58 primary care teams.
- To assess changes in team perceptions and identify implementation challenges.
Main Methods:
- A mixed-methods evaluation combining longitudinal surveys, interviews, and focus groups.
- Quantitative analysis using ordinal logistic regression to compare survey responses over time.
- Qualitative analysis employing an immersion/crystallization approach and facilitated leadership discussions.
Main Results:
- Improved perceptions of organizational support, team effectiveness, cohesion, quality improvement skills, and communication.
- Identified challenges including lack of time, need for technical support, and difficulties with data-driven improvement.
- Observed tensions between team-level and clinic-level change initiatives.
Conclusions:
- The microsystems approach benefits team relationships and quality improvement skills in primary care.
- Successful primary care transformation requires addressing challenges within the microsystems approach.
- System-level changes, beyond team-focused training, are essential for broader transformation.
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