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Determining Patient Panel Size in Primary Care: A Meta-Narrative Review.

Publication ,  Journal Article
Abu Dabrh, AM; Farah, WH; McLeod, HM; Biazar, P; Mohabbat, AB; Munipalli, B; Garofalo, R; Stroebel, RJ; Shah, N; Angstman, KB; Presutti, RJ ...
Published in: J Prim Care Community Health
2025

The optimal patient panel size (PPS) in primary care and the factors determining it remain unclear. We conducted a meta-narrative review of the literature to evaluate factors influencing PPS and assess its association with patient outcomes. A comprehensive search of electronic databases was performed from inception through December 2023, focusing on original studies reporting factors used to determine PPS and related outcomes (eg, clinical outcomes, process measures, and resource utilization). A total of 48 studies were included, identifying 7 key factors influencing PPS. Smaller panels were associated with improved patient satisfaction, continuity of care, and health promotion, while clinical outcomes, utilization, and costs showed minimal impact by PPS. Panel size was primarily associated with patient age, sex, comorbidities, and practice type and structure. Community-based centers typically managed smaller panels, often staffed by female clinicians and serving socioeconomically disadvantaged populations with greater health needs than hospital-based practices. Female clinicians were also independently associated with managing smaller panels, higher quality care indicators, fewer emergency department visits, and improved patient satisfaction. Determining the ideal PPS is a multifaceted process influenced by practice setting, patient demographics, and clinician characteristics. While practice-related factors showed limited association with PPS, patient-reported outcomes were more closely linked to it. Primary care practices should tailor panel sizes to their patient populations, emphasizing a patient-centered approach and ensuring adequate infrastructure support to optimize care delivery.

Duke Scholars

Published In

J Prim Care Community Health

DOI

EISSN

2150-1327

Publication Date

2025

Volume

16

Start / End Page

21501319251321294

Location

United States

Related Subject Headings

  • Primary Health Care
  • Patient Satisfaction
  • Humans
  • Female
  • 4206 Public health
  • 4205 Nursing
  • 4203 Health services and systems
  • 1199 Other Medical and Health Sciences
  • 1117 Public Health and Health Services
 

Citation

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Chicago
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Abu Dabrh, A. M., Farah, W. H., McLeod, H. M., Biazar, P., Mohabbat, A. B., Munipalli, B., … Murad, M. H. (2025). Determining Patient Panel Size in Primary Care: A Meta-Narrative Review. J Prim Care Community Health, 16, 21501319251321296. https://doi.org/10.1177/21501319251321294
Abu Dabrh, Abd Moain, Wigdan H. Farah, Heidi M. McLeod, Parisa Biazar, Arya B. Mohabbat, Bala Munipalli, Rachel Garofalo, et al. “Determining Patient Panel Size in Primary Care: A Meta-Narrative Review.J Prim Care Community Health 16 (2025): 21501319251321296. https://doi.org/10.1177/21501319251321294.
Abu Dabrh AM, Farah WH, McLeod HM, Biazar P, Mohabbat AB, Munipalli B, et al. Determining Patient Panel Size in Primary Care: A Meta-Narrative Review. J Prim Care Community Health. 2025;16:21501319251321296.
Abu Dabrh, Abd Moain, et al. “Determining Patient Panel Size in Primary Care: A Meta-Narrative Review.J Prim Care Community Health, vol. 16, 2025, p. 21501319251321296. Pubmed, doi:10.1177/21501319251321294.
Abu Dabrh AM, Farah WH, McLeod HM, Biazar P, Mohabbat AB, Munipalli B, Garofalo R, Stroebel RJ, Shah N, Angstman KB, Presutti RJ, Farford B, Horn JL, Allen SV, Perlman AI, Chong Lau AL, Prokop LJ, Murad MH. Determining Patient Panel Size in Primary Care: A Meta-Narrative Review. J Prim Care Community Health. 2025;16:21501319251321296.
Journal cover image

Published In

J Prim Care Community Health

DOI

EISSN

2150-1327

Publication Date

2025

Volume

16

Start / End Page

21501319251321294

Location

United States

Related Subject Headings

  • Primary Health Care
  • Patient Satisfaction
  • Humans
  • Female
  • 4206 Public health
  • 4205 Nursing
  • 4203 Health services and systems
  • 1199 Other Medical and Health Sciences
  • 1117 Public Health and Health Services