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Effects of Comorbidity and Clustering upon Referrals in Primary Care

Department of Family Medicine, University of Washington, Seattle, WA (FMC, TEN)
Department of Pediatrics, University of Rochester, Rochester, NY (GEF)

Correspondence: Corresponding author: Frederick M. Chen, MD, MPH, Department of Family Medicine, University of Washington, 4311 11th Avenue NE, Suite 210, Seattle, WA 98195-4982 (e-mail:fchen{at}u.washington.edu)

Objective: To examine the effect of patient characteristics and comorbidity on referrals in primary care.

Methods: Cross-sectional analysis of patient encounters and referrals during a 1-year period for a primary care network of 9 clinics. The analysis adjusted for the clustering effect of physicians and clinics on the data.

Results: 23,720 specialty referrals were generated from 251,240 patient encounters, resulting in a total referral rate of 9.4 referrals per 100 encounters. Age, gender, and certain comorbid conditions were significant predictors of referral for any given encounter.

Conclusions: Patient characteristics and comorbidity are predictors of referral. Studies of primary care processes need to account for clustering of physicians and clinics in their research design.