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Assessing and increasing patient panel size in the public sector
Rani Marx1, Michael J Drennan, Elizabeth C Johnson
1San Francisco Department of Public Health, San Francisco, California 94102-6033, USA. rani.marx@sfdph.org
Implementing data-driven panel size policies in primary care clinics improved provider capacity by 82% within nine months. Clinics that reduced barriers to new patients saw significant panel size gains, highlighting the importance of accessible care.
Area of Science:
- Primary Care Medicine
- Health Services Research
Background:
- Panel management is crucial for primary care medical homes but challenging in safety net settings.
- Community clinics face difficulties accommodating all patients seeking care.
Purpose of the Study:
- To evaluate patient panel size adjustments in 7 primary care clinics serving over 25,000 active patients.
- To assess the impact of new policies on clinic capacity and provider full-time equivalents (FTEs).
Main Methods:
- Adjusted panel sizes for patient demographics, diagnoses, homelessness, and substance abuse.
- Established a minimum panel size of 1125 patients per primary care provider (FTE).
- Calculated target vs. attained panel sizes and analyzed changes over nine months.
Main Results:
- Providers reached 82% of the aggregate target panel size within nine months.
- Five clinics increased adjusted panel size per FTE by 2% to 23%.
- Clinics reducing new patient appointment barriers saw significant gains; some clinics with new providers experienced a drop in panel size per FTE.
Conclusions:
- Routine data generation and review are vital for increasing primary care clinic capacity.
- Data-driven policies, panel size standards, and team-based care interventions enhance capacity.
- Addressing barriers to care and optimizing appointment scheduling are key to effective panel management.
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