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

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Author Info

  • Mary A. Burke

    ()
    (Economic Research Department, Federal Reserve Bank of Boston)

  • Gary M. Fournier

    ()
    (Department of Economics, Florida State University)

  • Kislaya Prasad

    ()
    (Robert H. Smith School of Business, University of Maryland at College Park)

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.

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Bibliographic Info

Article provided by Southern Economic Association in its journal Southern Economic Journal.

Volume (Year): 73 (2007)
Issue (Month): 3 (January)
Pages: 588–603

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Handle: RePEc:sej:ancoec:v:73:3:y:2007:p:588-603

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Web page: http://www.southerneconomic.org/
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Cited by:
  1. Cappellaro, Giulia & Ghislandi, Simone & Anessi-Pessina, Eugenio, 2011. "Diffusion of medical technology: The role of financing," Health Policy, Elsevier, Elsevier, vol. 100(1), pages 51-59, April.
  2. Mary A. Burke & Gary M. Fournier & Kislaya Prasad, 2009. "Geographic variations in a model of physician treatment choice with social interactions," Working Papers, Federal Reserve Bank of Boston 09-5, Federal Reserve Bank of Boston.
  3. Cebula, Richard, 2007. "Small Firm Size and Health Insurance: A Private Enterprise Perspective," MPRA Paper 50939, University Library of Munich, Germany, revised 10 Apr 2007.
  4. Andrew Epstein & Sean Nicholson, 2005. "The Formation And Evolution Of Physician Treatment Styles: An Application To Cesarean Sections," Working Papers id:176, eSocialSciences.
  5. Finocchiaro Castro, Massimo & Guccio, Calogero & Pignataro, Giacomo & Rizzo, Ilde, 2014. "The effects of reimbursement mechanisms on medical technology diffusion in the hospital sector in the Italian NHS," Health Policy, Elsevier, Elsevier, vol. 115(2), pages 215-229.
  6. Huesch, Marco D., 2011. "Is blood thicker than water? Peer effects in stent utilization among Floridian cardiologists," Social Science & Medicine, Elsevier, Elsevier, vol. 73(12), pages 1756-1765.
  7. Yi-Wen Tsai & Yu-Wen Wen & Weng-Foung Huang & Ken Kuo & Pei-Fen Chen & Hsin-Wei Shih & Yue-Chune Lee, 2010. "Pharmaceutical penetration of new drug and pharmaceutical market structure in Taiwan: hospital-level prescription of thiazolidinediones for diabetes," The European Journal of Health Economics, Springer, Springer, vol. 11(3), pages 279-290, June.
  8. Marco D. Huesch & Mariko Sakakibara, 2009. "Forgetting the learning curve for a moment: how much performance is un related to own experience?," Health Economics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 18(7), pages 855-862.
  9. Jeffrey S. McCullough, 2008. "The adoption of hospital information systems," Health Economics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 17(5), pages 649-664.
  10. Cebula, Richard, 2010. "Effects of Health Insurance and Medical Care Inflation on Voluntary Enlistment in the Army: An Empirical Study in the United States," MPRA Paper 51246, University Library of Munich, Germany.

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