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The Diffusion of a Medical Innovation: Is Success in the Stars?

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  • Mary A. Burke
  • Gary M. Fournier
  • Kislaya Prasad

Abstract

This paper relates the diffusion of the coronary stent to the presence of prominent or “star” physicians within a local peer group. The paper uses panel data on coronary care in Florida covering the period immediately following the 1995 Food and Drug Administration (FDA) approval of the stent, a significant improvement in coronary angioplasty. Adoption timing and utilization varied considerably across doctors between 1995 and 2001. We consider the role of asymmetric social influence among physicians based on professional status. Defining “star” status as having completed residency at a top‐ranked hospital, we find that the diffusion of stents by non‐stars depends positively on the number of stars practicing contemporaneously at the same hospitals, while we find no social influence in the opposite direction. The findings indicate that lack of local exposure to star physicians may slow adoption, and clustering of stars in a small number of hospitals may entail welfare costs.

Suggested Citation

  • Mary A. Burke & Gary M. Fournier & Kislaya Prasad, 2007. "The Diffusion of a Medical Innovation: Is Success in the Stars?," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 588-603, January.
  • Handle: RePEc:wly:soecon:v:73:y:2007:i:3:p:588-603
    DOI: 10.1002/j.2325-8012.2007.tb00791.x
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    1. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    2. Papke, Leslie E., 1994. "Tax policy and urban development : Evidence from the Indiana enterprise zone program," Journal of Public Economics, Elsevier, vol. 54(1), pages 37-49, May.
    3. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    4. Hashimoto, Hideki & Noguchi, Haruko & Heidenreich, Paul & Saynina, Olga & Moreland, Abigail & Miyazaki, Shunichi & Ikeda, Shunya & Kaneko, Yoshihiro & Ikegami, Naoki, 2006. "The diffusion of medical technology, local conditions, and technology re-invention: A comparative case study on coronary stenting," Health Policy, Elsevier, vol. 79(2-3), pages 221-230, December.
    5. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    6. Jonathan Skinner & Douglas Staiger, 2007. "Technology Adoption from Hybrid Corn to Beta-Blockers," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 545-570, National Bureau of Economic Research, Inc.
    7. Robert S. Huckman, 2003. "The Utilization of Competing Technologies Within the Firm: Evidence from Cardiac Procedures," Management Science, INFORMS, vol. 49(5), pages 599-617, May.
    8. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
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    Cited by:

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    3. Brendan Rabideau & Michael R. Richards & Christopher M. Whaley, 2024. "Training labor and treatment behavior: Evidence from physician residency programs," Health Economics, John Wiley & Sons, Ltd., vol. 33(9), pages 2059-2087, September.

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