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Medical Regulation And Health Outcomes: The Effect Of The Physician Examination Requirement

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  • Anca M. Cotet
  • Daniel K. Benjamin

Abstract

This article investigates the effect on health outcomes of the regulation prohibiting physicians from prescribing drugs without a prior physical examination. This requirement could improve health by reducing illegal access to prescription drugs. However, it reduces access to health care by making it more difficult for patients and physicians to use many forms of telemedicine. Thus, this regulation generates a trade‐off between access and safety. Using matching techniques, we find that the physician examination requirement leads to an increase of 1% in mortality rates from disease, the equivalent of 8.5 more deaths per 100,000 people, and a decrease of 6.7% in injury mortality, the equivalent of 2.5 deaths per 100,000 people. The magnitude of these effects is larger in rural areas and in areas with low physician density and is accompanied by an 18% increase in the number of days lost each month to illness. Copyright © 2012 John Wiley & Sons, Ltd.

Suggested Citation

  • Anca M. Cotet & Daniel K. Benjamin, 2013. "Medical Regulation And Health Outcomes: The Effect Of The Physician Examination Requirement," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 393-409, April.
    • Handle: RePEc:wly:hlthec:v:22:y:2013:i:4:p:393-409
    DOI: 10.1002/hec.2807
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    References listed on IDEAS

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    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Matthew Berman & Andrea Fenaughty, 2005. "Technology and managed care: patient benefits of telemedicine in a rural health care network," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 559-573, June.
    4. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    5. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    6. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Jieun Chang & Scott J. Savage & Donald M. Waldman, 2017. "Estimating Willingness to Pay for Online Health Services with Discrete-Choice Experiments," Applied Health Economics and Health Policy, Springer, vol. 15(4), pages 491-500, August.
    2. Anca M. Grecu & Lee C. Spector, 2019. "Nurse practitioner's independent prescriptive authority and opioids abuse," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1220-1225, October.

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