Can Claims Data Algorithms Identify the Physician of Record?
Claims-based algorithms based on administrative claims data are frequently used to identify an individual's primary care physician (PCP). The validity of these algorithms in the US Medicare population has not been assessed.



To determine the agreement of the PCP identified by claims algorithms with the PCP of record in electronic health record data.



Electronic health record and Medicare claims data from older adults with diabetes.



Medicare fee-for-service beneficiaries with diabetes (N=3658) ages 65 years and older as of January 1, 2008, and medically housed at a large academic health system.



Assignment algorithms based on the plurality and majority of visits and tie breakers determined by either last visit, cost, or time from first to last visit.



The study sample included 15,624 patient-years from 3658 older adults with diabetes. Agreement was higher for algorithms based on primary care visits (range, 78.0% for majority match without a tie breaker to 85.9% for majority match with the longest time from first to last visit) than for claims to all visits (range, 25.4% for majority match without a tie breaker to 63.3% for majority match with the amount billed tie breaker). Percent agreement was lower for nonwhite individuals, those enrolled in Medicaid, individuals experiencing a PCP change, and those with >10 physician visits.



Researchers may be more likely to identify a patient's PCP when focusing on primary care visits only; however, these algorithms perform less well among vulnerable populations and those experiencing fragmented care.
Departments of Population Health Sciences.
Eva H
EH
DuGoff
Economics.
Emily
E
Walden
Health Innovation Program, University of Wisconsin-Madison, Madison, WI.
Katie
K
Ronk
Departments of Population Health Sciences.
Mari
M
Palta
Departments of Population Health Sciences.|Health Innovation Program, University of Wisconsin-Madison, Madison, WI.
Maureen
M
Smith
D000067575:Administrative Claims, Healthcare / Q000706:statistics & numerical data*; D000368:Aged; D000465:Algorithms; D003266:Continuity of Patient Care / Q000706:statistics & numerical data; D003920:Diabetes Mellitus / Q000628:therapy; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D006801:Humans; D006278:Medicare; D058007:Physicians, Primary Care / Q000706:statistics & numerical data*; D014481:United States