IDEAS home Printed from https://ideas.repec.org/p/iek/wpaper/0902.html
   My bibliography  Save this paper

Does Experience Make Better Doctors?

Author

Listed:
  • Juan M. Contreras

    (Congressional Budget Office)

  • Beomsoo Kim

    (Department of Economics, Korea University, Seoul, South Korea)

  • Ignez M. Tristao

    (Congressional Budget Office)

Abstract

In this paper, we examine the ¡°learning-by-doing¡± hypothesis in medicine using a longitudinal census of laser in situ keratomileusis (LASIK) eye surgeries collected directly from patient charts. LASIK surgery has precise measures of presurgical condition and postsurgical outcomes. Unlike other types of surgery, the impact of unobservable underlying patient conditions on outcomes is minimal. Individual learning-bydoing is identified through observations of surgical outcomes over time based on the cumulative number of surgeries each surgeon has performed. Collective learning is identified separately through changes in a group adjustment rule determined jointly by all the surgeons through a structured internal review process. Our unique data set overcomes some of the measurement problems in patient outcomes encountered in other studies, and improves the possibility of identifying the impact of learning-by-doing separate from other effects. Our results do not support the hypothesis that the surgeon¡¯s individual learning improves outcomes, but we find strong evidence that experience accumulated by surgeons as a group in a clinic significantly improves outcomes.

Suggested Citation

  • Juan M. Contreras & Beomsoo Kim & Ignez M. Tristao, 2009. "Does Experience Make Better Doctors?," Discussion Paper Series 0902, Institute of Economic Research, Korea University.
  • Handle: RePEc:iek:wpaper:0902
    as

    Download full text from publisher

    File URL: http://econ.korea.ac.kr/~ri/WorkingPapers/w0902.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ho, Vivian, 2002. "Learning and the evolution of medical technologies: the diffusion of coronary angioplasty," Journal of Health Economics, Elsevier, vol. 21(5), pages 873-885, September.
    2. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    3. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    4. Gary P. Pisano & Richard M.J. Bohmer & Amy C. Edmondson, 2001. "Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 47(6), pages 752-768, June.
    5. Robert S. Huckman & Gary P. Pisano, 2006. "The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery," Management Science, INFORMS, vol. 52(4), pages 473-488, April.
    6. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    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. Shawn D. Bushway & Emily G. Owens & Anne Morrison Piehl, 2012. "Sentencing Guidelines and Judicial Discretion: Quasi‐Experimental Evidence from Human Calculation Errors," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(2), pages 291-319, June.

    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. Juan M. Contreras & Beomsoo Kim & Ignez M. Tristao, 2010. "Does Doctors' Experience Matter in LASIK Surgeries?: Working Paper 2010-01," Working Papers 21400, Congressional Budget Office.
    2. Juan M. Contreras & Beomsoo Kim & Ignez M. Tristao, 2011. "Does doctors' experience matter in LASIK surgeries?," Health Economics, John Wiley & Sons, Ltd., vol. 20(6), pages 699-722, June.
    3. Sarah S. Stith, 2018. "Organizational learning-by-doing in liver transplantation," International Journal of Health Economics and Management, Springer, vol. 18(1), pages 25-45, March.
    4. 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.
    5. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    6. Scott F. Rockart & Nilanjana Dutt, 2015. "The rate and potential of capability development trajectories," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 53-75, January.
    7. Kamalini Ramdas & Khaled Saleh & Steven Stern & Haiyan Liu, 2018. "Variety and Experience: Learning and Forgetting in the Use of Surgical Devices," Management Science, INFORMS, vol. 64(6), pages 2590-2608, June.
    8. Marco D. Huesch & Mariko Sakakibara, 2009. "Forgetting the learning curve for a moment: how much performance is unrelated to own experience?," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 855-862, July.
    9. Robert S. Huckman & Bradley R. Staats, 2008. "Variation in Experience and Team Familiarity: Addressing the Knowledge Acquisition-Application Problem," Harvard Business School Working Papers 09-035, Harvard Business School.
    10. Robert S. Huckman & Gary P. Pisano, 2006. "The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery," Management Science, INFORMS, vol. 52(4), pages 473-488, April.
    11. Koji Kotani & Makoto Kakinaka, 2017. "Some implications of environmental regulation on social welfare under learning-by-doing of eco-products," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(1), pages 121-149, January.
    12. Funk, Jeffrey L. & Magee, Christopher L., 2015. "Rapid improvements with no commercial production: How do the improvements occur?," Research Policy, Elsevier, vol. 44(3), pages 777-788.
    13. Ryan Kellogg, 2011. "Learning by Drilling: Interfirm Learning and Relationship Persistence in the Texas Oilpatch," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1961-2004.
    14. Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
    15. Steven Levitt & John List & Chad Syverson, 2012. "Toward an Understanding of Learning by Doing: Evidence from an Automobile Plant," Natural Field Experiments 00463, The Field Experiments Website.
    16. Shunyuan Zhang & Param Vir Singh & Anindya Ghose, 2019. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests," Service Science, INFORMS, vol. 30(1), pages 15-33, March.
    17. Steven D. Levitt & John A. List & Chad Syverson, 2013. "Toward an Understanding of Learning by Doing: Evidence from an Automobile Assembly Plant," Journal of Political Economy, University of Chicago Press, vol. 121(4), pages 643-681.
    18. Blazek, David & Sickles, Robin C., 2010. "The impact of knowledge accumulation and geographical spillovers on productivity and efficiency: The case of U. S. shipbuilding during WWII," Economic Modelling, Elsevier, vol. 27(6), pages 1484-1497, November.
    19. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    20. 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.

    More about this item

    Keywords

    learning; experience; LASIK;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:iek:wpaper:0902. 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: Kim, Jisoo (email available below). General contact details of provider: https://edirc.repec.org/data/ierkukr.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.