Comparing Shared Patient Networks Across Payers
Autor: | William Weir, Justin G. Trogdon, Saray Shai, Karen B Stitzenberg, Tzy-Mey Kuo, Peter J. Mucha, Anne Marie Meyer |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
Eigenvector centrality Specialty Medicare 01 natural sciences Community Networks Article Cohort Studies 03 medical and health sciences Insurance Claim Review 0302 clinical medicine Betweenness centrality Internal Medicine medicine North Carolina Humans 030212 general & internal medicine Registries 0101 mathematics Practice Patterns Physicians' Social network analysis business.industry 010102 general mathematics Continuity of Patient Care United States Cancer registry Patient volume Editorial Family medicine Health Services Research business Centrality Colorectal Neoplasms Private network |
Zdroj: | J Gen Intern Med |
Popis: | BACKGROUND: Measuring care coordination in administrative data facilitates important research to improve care quality. OBJECTIVE: To compare shared patient networks constructed from administrative claims data across multiple payers. DESIGN: Social network analysis of pooled cross sections of physicians treating prevalent colorectal cancer patients between 2003 and 2013. PARTICIPANTS: Surgeons, medical oncologists, and radiation oncologists identified from North Carolina Central Cancer Registry data linked to Medicare claims (N = 1735) and private insurance claims (N = 1321). MAIN MEASURES: Provider-level measures included the number of patients treated, the number of providers with whom they share patients (by specialty), the extent of patient sharing with each specialty, and network centrality. Network-level measures included the number of providers and shared patients, the density of shared-patient relationships among providers, and the size and composition of clusters of providers with a high level of patient sharing. RESULTS: For 24.5% of providers, total patient volume rank differed by at least one quintile group between payers. Medicare claims missed 14.6% of all shared patient relationships between providers, but captured a greater number of patient-sharing relationships per provider compared with the private insurance database, even after controlling for the total number of patients (27.242 vs 26.044, p |
Databáze: | OpenAIRE |
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