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Teamwork in health care and medical malpractice liability: an experimental investigation

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  • Dylan Martin-Lapoirie

    (Université de Lorraine, Université de Strasbourg, CNRS, BETA)

Abstract

The treatment of a patient often implies consultations with different health care professionals. This complex health care pathway raises the issue of the regulation of health care quality. In this study, we explore how teamwork among health care professionals affects the precaution behavior of each one depending on the liability regime. To this end, we develop a theoretical model that is tested in a controlled laboratory experiment. Each health care professional chooses the precaution level invested to treat the patient. His decisions have real consequences outside the lab for charities dealing with real patients. Experimental conditions vary the number of involved health care professionals and the liability regime. Contrary to theory, we show that the negligence rule and strict liability do not provide optimal incentives to take care. The negligence rule is more efficient than strict liability to reduce the absolute deviations from optimal precaution level. Moreover, under both liability rules, teamwork decreases the health care professionals’ precaution levels.

Suggested Citation

  • Dylan Martin-Lapoirie, 2022. "Teamwork in health care and medical malpractice liability: an experimental investigation," European Journal of Law and Economics, Springer, vol. 54(2), pages 251-282, October.
  • Handle: RePEc:kap:ejlwec:v:54:y:2022:i:2:d:10.1007_s10657-021-09708-3
    DOI: 10.1007/s10657-021-09708-3
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    More about this item

    Keywords

    Laboratory experiment; Liability; Medical malpractice; Multiple injurers; Teamwork;
    All these keywords.

    JEL classification:

    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • I10 - Health, Education, and Welfare - - Health - - - General

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