IDEAS home Printed from https://ideas.repec.org/p/ecl/harjfk/rwp19-018.html
   My bibliography  Save this paper

Do Physicians Influence Each Other’s Performance? Evidence from the Emergency Department

Author

Listed:
  • Saghafian, Soroush

    (Harvard Kennedy School)

  • Imanirad, Raha

    (Harvard Business School)

  • Traub, Stephen J.

    (Mayo Clinic Arizona)

Abstract

Understanding potential ways through which physicians impact each other's performance can yield new insights into better management of hospitals' operations. We use evidence from Emergency Medicine to study whether and how physicians who work alongside each other during same shifts affect each other's performance. We find strong empirical evidence that physicians affect each other's speed and quality, and scheduling diverse peers during the same shift could have a positive net impact on the operations of a hospital Emergency Department (ED). Specifically, our results show that a faster (slower) peer decreases (increases) the average speed of a focal physician compared to a same-speed peer. Similarly, a higher- (lower-) quality peer decreases (increases) a focal physician's average quality. Furthermore, the presence of a less-experienced peer improves a focal physician's average speed. However, in contrast to the conventional wisdom, we do not find any evidence that more-experienced physicians can affect the performance of their less-experienced peers. We investigate various mechanisms that might be the driving force behind our findings, including psychological channels such as learning, social influence, and homophily as well as resource spillover. We identify resource spillover as the main driver of the effects we observe and show that, under high ED volumes (i.e., when the shared resources are most constrained), the magnitude of the observed effects increases. While some of these observed effects tend to be long-lived, we find that their magnitudes are fairly heterogeneous among physicians. In particular, our results show that newly-hired and/or high-performing physicians are typically more influenced than others by their peers. Finally, we draw conclusions from our results and discuss how they can be utilized by hospital administrators to improve the overall performance of physicians via better scheduling patterns and/or training programs that require physicians to work during same shifts.

Suggested Citation

  • Saghafian, Soroush & Imanirad, Raha & Traub, Stephen J., 2019. "Do Physicians Influence Each Other’s Performance? Evidence from the Emergency Department," Working Paper Series rwp19-018, Harvard University, John F. Kennedy School of Government.
  • Handle: RePEc:ecl:harjfk:rwp19-018
    as

    Download full text from publisher

    File URL: https://research.hks.harvard.edu/publications/getFile.aspx?Id=2796
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas Cornelissen & Christian Dustmann & Uta Schönberg, 2017. "Peer Effects in the Workplace," American Economic Review, American Economic Association, vol. 107(2), pages 425-456, February.
    2. Raghuram Iyengar & Christophe Van den Bulte & Jae Young Lee, 2015. "Social Contagion in New Product Trial and Repeat," Marketing Science, INFORMS, vol. 34(3), pages 408-429, May.
    3. Robert J. Batt & Christian Terwiesch, 2017. "Early Task Initiation and Other Load-Adaptive Mechanisms in the Emergency Department," Management Science, INFORMS, vol. 63(11), pages 3531-3551, November.
    4. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
    5. Horrace, William C. & Liu, Xiaodong & Patacchini, Eleonora, 2016. "Endogenous network production functions with selectivity," Journal of Econometrics, Elsevier, vol. 190(2), pages 222-232.
    6. Armin Falk & Andrea Ichino, 2006. "Clean Evidence on Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 39-58, January.
    7. David Anderson & Bruce Golden & Wolfgang Jank & Edward Wasil, 2012. "The impact of hospital utilization on patient readmission rate," Health Care Management Science, Springer, vol. 15(1), pages 29-36, March.
    8. Kuntz, Ludwig & Mennicken, Roman & Scholtes, Stefan, 2011. "Stress on the Ward – An Empirical Study of the Nonlinear Relationship between Organizational Workload and Service Quality," Ruhr Economic Papers 277, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    10. Devin G. Pope & Maurice E. Schweitzer, 2011. "Is Tiger Woods Loss Averse? Persistent Bias in the Face of Experience, Competition, and High Stakes," American Economic Review, American Economic Association, vol. 101(1), pages 129-157, February.
    11. Soroush Saghafian & Wallace J. Hopp & Mark P. Van Oyen & Jeffrey S. Desmond & Steven L. Kronick, 2012. "Patient Streaming as a Mechanism for Improving Responsiveness in Emergency Departments," Operations Research, INFORMS, vol. 60(5), pages 1080-1097, October.
    12. repec:zbw:rwirep:0277 is not listed on IDEAS
    13. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    14. Junfei Huang & Boaz Carmeli & Avishai Mandelbaum, 2015. "Control of Patient Flow in Emergency Departments, or Multiclass Queues with Deadlines and Feedback," Operations Research, INFORMS, vol. 63(4), pages 892-908, August.
    15. Robert S. Huckman & Bradley R. Staats & David M. Upton, 2009. "Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services," Management Science, INFORMS, vol. 55(1), pages 85-100, January.
    16. Muzhe Yang & Hsien-Ming Lien & Shin-Yi Chou, 2014. "Is There A Physician Peer Effect? Evidence From New Drug Prescriptions," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 116-137, January.
    17. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    18. Adam Powell & Sergei Savin & Nicos Savva, 2012. "Physician Workload and Hospital Reimbursement: Overworked Physicians Generate Less Revenue per Patient," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 512-528, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joseph J. Doyle Jr. & Becky Staiger, 2021. "Physician Group Influences on Treatment Intensity and Health: Evidence from Physician Switchers," NBER Working Papers 29613, National Bureau of Economic Research, Inc.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2019. "Gender and peer effects on performance in social networks," European Economic Review, Elsevier, vol. 113(C), pages 207-224.
    2. Hope, Ole-Kristian & Su, Xijiang, 2021. "Peer-level analyst transitions," Journal of Corporate Finance, Elsevier, vol. 70(C).
    3. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2017. "Gender and Peer Effects in Social Networks," IZA Discussion Papers 10588, Institute of Labor Economics (IZA).
    4. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Compensation and Peer Effects in Competing Sales Teams," Management Science, INFORMS, vol. 60(8), pages 1965-1984, August.
    5. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2017. "Gender and Peer Effects in Social Networks," IZA Discussion Papers 10588, Institute of Labor Economics (IZA).
    6. Haoyuan Liu & Wen Wen & Andrew B. Whinston, 2018. "Peer influence in the workplace: Evidence from an enterprise digital platform," Working Papers 18-08, NET Institute.
    7. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    8. An, Jiafu & Jiang, Mengfei & Xu, Jiaman, 2021. "Professional norms and risk-taking of bank employees: Do expectations of peers’ risk preferences matter?," Journal of Financial Stability, Elsevier, vol. 56(C).
    9. Marco Alfano & Ross McKenzie & Graeme Roy, 2020. "The cross-occupational effects of immigration on native wages in the UK," Working Papers 2011, University of Strathclyde Business School, Department of Economics.
    10. Battisti, Michele, 2017. "High wage workers and high wage peers," Labour Economics, Elsevier, vol. 46(C), pages 47-63.
    11. Ben Weidmann & David J. Deming, 2020. "Team Players: How Social Skills Improve Group Performance," NBER Working Papers 27071, National Bureau of Economic Research, Inc.
    12. Arai, Natsuki & 荒井, 夏來 & Nakazawa, Nobuhiko & 中澤, 伸彦, 2021. "Does Working with a Future Executive Make Junior Employees More Likely to Be Promoted ?," Discussion Papers 2021-01, Graduate School of Economics, Hitotsubashi University.
    13. Gershenson, Seth & Lindsay, Constance A. & Papageorge, Nicholas W. & Campbell, Romaine & Rendon, Jessica H., 2023. "Spillover Effects of Black Teachers on White Teachers' Racial Competency: Mixed Methods Evidence from North Carolina," IZA Discussion Papers 16258, Institute of Labor Economics (IZA).
    14. Corsini, Alberto & Pezzoni, Michele & Visentin, Fabiana, 2022. "What makes a productive Ph.D. student?," Research Policy, Elsevier, vol. 51(10).
    15. Kosuke Uetake & Nathan Yang, 2020. "Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program," Marketing Science, INFORMS, vol. 39(3), pages 487-499, May.
    16. John J. Horton & Richard J. Zeckhauser, 2016. "The Causes of Peer Effects in Production: Evidence from a Series of Field Experiments," NBER Working Papers 22386, National Bureau of Economic Research, Inc.
    17. Michael Freeman & Nicos Savva & Stefan Scholtes, 2017. "Gatekeepers at Work: An Empirical Analysis of a Maternity Unit," Management Science, INFORMS, vol. 63(10), pages 3147-3167, October.
    18. Semih Tumen & Tugba Zeydanli, 2016. "Social interactions in job satisfaction," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(3), pages 426-455, June.
    19. Bhuller, Manudeep & Dahl, Gordon B & Løken, Katrine V. & Mogstad, Magne, 2018. "Incarceration Spillovers in Criminal and Family Networks," Discussion Paper Series in Economics 15/2018, Norwegian School of Economics, Department of Economics.
    20. Daniel C. Hickman & Neil E. Metz, 2018. "Peer Effects In A Competitive Environment: Evidence From The Pga Tour," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 208-225, January.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecl:harjfk:rwp19-018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ksharus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.