@article{0d4c6d7e48b94d80a4a33801159e4dc8,
title = "An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care",
abstract = "Objective: To develop an empiric approach for evaluating the performance of physician peer groups based on patient-sharing in administrative claims data. Data Sources: Surveillance, Epidemiology and End Results-Medicare linked dataset. Study Design: Applying social network theory, we constructed physician peer groups for patients with breast cancer. Under different assumptions of key parameter values—minimum patient volume for physician inclusion and minimum number of patients shared between physicians for a connection—we compared agreement in group membership between split samples during 2004-2006 (T1) (reliability) and agreement in group membership between T1 and 2007-2009 (T2) (stability). We also compared the results with those derived from randomly generated groups and to hospital affiliation-based groups. Principal Findings: The sample included 142 098 patients treated by 43 174 physicians in T1 and 136 680 patients treated by 51 515 physicians in T2. We identified parameter values that resulted in a median peer group reliability of 85.2 percent (Interquartile range (IQR) [0 percent, 96.2 percent]) and median stability of 73.7 percent (IQR [0 percent, 91.0 percent]). In contrast, stability of randomly assigned peer groups was 6.2 percent (IQR [0 percent, 21.0 percent]). Median overlap of empirical groups with hospital groups was 32.2 percent (IQR [12.1 percent, 59.2 percent]). Conclusions: It is feasible to construct physician peer groups that are reliable, stable, and distinct from both randomly generated and hospital-based groups.",
keywords = "methods, patient-sharing, physician networks",
author = "Jeph Herrin and Soulos, {Pamela R.} and Xiao Xu and Gross, {Cary P.} and Pollack, {Craig Evan}",
note = "Funding Information: Joint Acknowledgment/Disclosure Statement: This project was wholly supported by a grant from the National Cancer Institute (5R01CA190017). Dr. Herrin has received additional support for unrelated research from the Centers for Medicare and Medicaid Services and Mayo Clinic. Ms. Soulos reports support from 21st Century Oncology for work which does not overlap with this work. Dr. Gross reports support for research endeavors distinct from this project, from 21st Century Oncology, Johnson & Johnson, and Pfizer. Dr. Xu has worked under contract with the Centers for Medicare & Medicaid Services to develop and maintain performance measures. Dr. Pollack reports stock ownership in Gilead Pharmaceuticals, which interest does not overlap with the current work. Funding Information: wholly supported by a grant from the National Cancer Institute (5R01CA190017). Dr. Herrin has received additional support for unrelated research from the Centers for Medicare and Medicaid Services and Mayo Clinic. Ms. Soulos reports support from 21st Century Oncology for work which does not overlap with this work. Dr. Gross reports support for research endeavors distinct from this project, from 21st Century Oncology, Johnson & Johnson, and Pfizer. Dr. Xu has worked under contract with the Centers for Medicare & Medicaid Services to develop and maintain performance measures. Dr. Pollack reports stock ownership in Gilead Pharmaceuticals, which interest does not overlap with the current work. Publisher Copyright: {\textcopyright} Health Research and Educational Trust",
year = "2019",
month = feb,
doi = "10.1111/1475-6773.13095",
language = "English (US)",
volume = "54",
pages = "44--51",
journal = "Health services research",
issn = "0017-9124",
publisher = "Wiley-Blackwell",
number = "1",
}