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Team Relationships and Performance: Evidence from Healthcare Referral Networks

Author

Listed:
  • Leila Agha

    (Department of Economics, Dartmouth College, Hanover, New Hampshire 03755; National Bureau of Economic Research, Cambridge, Massachusetts 02138)

  • Keith Marzilli Ericson

    (National Bureau of Economic Research, Cambridge, Massachusetts 02138; Questrom School of Business, Boston University, Boston, Massachusetts 02215)

  • Kimberley H. Geissler

    (School of Public Health and Health Sciences, University of Massachusetts at Amherst, Amherst, Massachusetts 01003)

  • James B. Rebitzer

    (National Bureau of Economic Research, Cambridge, Massachusetts 02138; Questrom School of Business, Boston University, Boston, Massachusetts 02215)

Abstract

We examine the teams that emerge when a primary care physician (PCP) refers patients to specialists. When PCPs concentrate their specialist referrals—for instance, by sending their cardiology patients to fewer distinct cardiologists—repeat interactions between PCPs and specialists are encouraged. Repeated interactions provide more opportunities and incentives to develop productive team relationships. Using data from the Massachusetts All Payer Claims Database, we construct a new measure of PCP team referral concentration and document that it varies widely across PCPs, even among PCPs in the same organization. Chronically ill patients treated by PCPs with a one standard deviation higher team referral concentration have 4% lower healthcare utilization on average, with no discernible reduction in quality. We corroborate this finding using a national sample of Medicare claims and show that it holds under various identification strategies that account for observed and unobserved patient and physician characteristics. The results suggest that repeated PCP-specialist interactions improve team performance.

Suggested Citation

  • Leila Agha & Keith Marzilli Ericson & Kimberley H. Geissler & James B. Rebitzer, 2022. "Team Relationships and Performance: Evidence from Healthcare Referral Networks," Management Science, INFORMS, vol. 68(5), pages 3735-3754, May.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:5:p:3735-3754
    DOI: 10.1287/mnsc.2021.4091
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    References listed on IDEAS

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    3. Li, Zhong-Ping & Chang, Aichih (Jasmine) & Zou, Zongbao, 2023. "Design mechanism to coordinate a hierarchical healthcare system: Patient subsidy vs. capacity investment," Omega, Elsevier, vol. 118(C).
    4. Stephen D. Schwab, 2025. "The Value of Specific Knowledge: Evidence from Disruptions to the Patient–Physician Relationship," Management Science, INFORMS, vol. 71(10), pages 8289-8303, October.
    5. Ji Wu & Jianna Wang & Doris Chenguang Wu & Xian Cheng, 2026. "Impact of collaboration network on care costs: an integrated healthcare analysis," Health Care Management Science, Springer, vol. 29(1), pages 1-15, March.
    6. Wechtler, Heidi & Marodin, Joyce Klein & Lehtonen, Miikka J., 2024. "Systematic literature review on networks of innovative teams: Current trends and future research avenues," European Management Journal, Elsevier, vol. 42(6), pages 968-978.
    7. Xiaodan Liang & John Mullahy, 2025. "Classifying the Integration of Healthcare Providers and Insurers," Health Economics, John Wiley & Sons, Ltd., vol. 34(11), pages 1971-1976, November.
    8. Xiaofei Zhang & Jingchuan Pu & Yixin Lu & Feng Guo, 2025. "Team Makes You Better: Evidence from Online Medical Consultation Platforms," Information Systems Research, INFORMS, vol. 36(3), pages 1738-1759, September.

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