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Modeling Family Medicine Provider Care Team Design to Improve Patient Care Continuity
Yu-Li Huang1, Bjorn P Berg, Michelle A Lampman
1Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota (Drs Huang and Lampman); Division of Health Policy and Management School of Public Health, University of Minnesota, Minneapolis (Dr Berg); and Department of Family Medicine, Mayo Clinic, Rochester, Minnesota (Dr Rushlow).
To improve patient care continuity, provider care teams were studied. An optimization model achieved a consistent 62% of patient appointments seen by their assigned provider, balancing physician and NP/PA mix.
Area of Science:
- Primary care
- Health services research
- Patient care continuity
Background:
- Continuity of care is crucial for high-quality primary care.
- Provider time constraints in family medicine limit clinical availability.
- Provider care teams can mitigate access issues and enhance care continuity.
Purpose of the Study:
- To characterize patient care continuity based on provider types and panel management time (PMT).
- To reduce variability in provider care team continuity.
- To determine optimal provider mix within care teams.
Main Methods:
- Measured care continuity by the percentage of patient appointments seen by a provider in their own care team (ASOCT).
- Developed a prediction method to identify key components influencing continuity.
- Utilized an optimization model to find the ideal provider composition for teams.
Main Results:
- Current ASOCT percentages in care teams range from 46% to 68%.
- Team compositions vary, with 1-5 MDs and 0-6 NP/PAs.
- The proposed model achieved a consistent 62% ASOCT with 3-4 MDs and NP/PAs per team.
Conclusions:
- A predictive model combined with assignment optimization enhances ASOCT consistency.
- This approach leads to more uniform provider mix and count within care teams.
- Optimized team structures improve overall patient care continuity.
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