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The association between patient sharing network structure and healthcare costs

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  • Kimberley H Geissler
  • Benjamin Lubin
  • Keith M Marzilli Ericson

Abstract

Study question: While physician relationships (measured through shared patients) are associated with clinical and utilization outcomes, the extent to which this is driven by local or global network characteristics is not well established. The objective of this research is to examine the association between local and global network statistics with total medical spending and utilization. Data source: Data used are the 2011 Massachusetts All Payer Claims Database. Study design: The association between network statistics and total medical spending and utilization (using standardized prices) is estimated using multivariate regression analysis controlling for patient demographics and health status. Data collection: We limit the sample to continuously enrolled commercially insured patients in Massachusetts in 2011. Principal findings: Mean patient age was 45 years, and 56.3% of patients were female. 73.4% were covered by a health maintenance organization. Average number of visits was 5.43, with average total medical spending of $4,911 and total medical utilization of $4,252. Spending was lower for patients treated by physicians with higher degree (p

Suggested Citation

  • Kimberley H Geissler & Benjamin Lubin & Keith M Marzilli Ericson, 2020. "The association between patient sharing network structure and healthcare costs," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-13, June.
    • Handle: RePEc:plo:pone00:0234990
    DOI: 10.1371/journal.pone.0234990
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    References listed on IDEAS

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    1. Leila Agha & Keith Marzilli Ericson & Kimberley H. Geissler & James B. Rebitzer, 2018. "Team Formation and Performance: Evidence from Healthcare Referral Networks," NBER Working Papers 24338, National Bureau of Economic Research, Inc.
    2. Stuart V. Craig & Keith Marzilli Ericson & Amanda Starc, 2018. "How Important Is Price Variation Between Health Insurers?," NBER Working Papers 25190, National Bureau of Economic Research, Inc.
    3. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
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    Cited by:

    1. Yong Cai & Mohamed Abouzahra, 2023. "The influence of strong and weak ties in physician peer networks on new drug adoption," International Journal of Health Economics and Management, Springer, vol. 23(1), pages 133-147, March.
    2. Gianluca Miglio & Lara Basso & Lucrezia G. Armando & Sara Traina & Elisa Benetti & Abdoulaye Diarassouba & Raffaella Baroetto Parisi & Mariangela Esiliato & Cristina Rolando & Elisa Remani & Clara Cen, 2021. "A Network Approach for the Study of Drug Prescriptions: Analysis of Administrative Records from a Local Health Unit (ASL TO4, Regione Piemonte, Italy)," IJERPH, MDPI, vol. 18(9), pages 1-20, May.
    3. Agata Kocia, 2024. "Communication as a Transmitter of Trust in Healthcare Network During Pandemic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18797-18812, December.
    4. Kimberley H. Geissler & Benjamin Lubin & Keith M. Marzilli Ericson, 2021. "The association of insurance plan characteristics with physician patient-sharing network structure," International Journal of Health Economics and Management, Springer, vol. 21(2), pages 189-201, June.

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