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Impact of tariff refinement on the choice between scheduled C‐section and normal delivery: Evidence from France

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  • Alex Proshin

    (Canadian Center for Health Economics, Hospinomics - PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Alexandre Cazenave-Lacroutz

    (CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - GENES - Groupe des Écoles Nationales d'Économie et Statistique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - GENES - Groupe des Écoles Nationales d'Économie et Statistique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique)

  • Lise Rochaix

    (Hospinomics - PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Studying quasi-experimental data from French hospitals from 2010 to 2013, we test the effects of a substantial diagnosis-related group (DRG) tariff refinement that occurred in 2012, designed to reduce financial risks of French maternity wards. To estimate the resulting DRG incentives with regard to the choice between scheduled C-sections and other modes of child delivery, we predict, based on pre-admission patient characteristics, the probability of each possible child delivery outcome and calculate expected differences in associated tariffs. Using patient-level administrative data, we find that introducing additional severity levels and clinical factors into the reimbursement algorithm had no significant effect on the probability of a scheduled C-section being performed. The results are robust to multiple formulations of DRG financial incentives. Our paper is the first study that focuses on the consequences of a DRG refinement in obstetrics and develops a probabilistic approach suitable for measuring the expected effects of DRG fee incentives in the presence of multiple tariff groups.

Suggested Citation

  • Alex Proshin & Alexandre Cazenave-Lacroutz & Lise Rochaix, 2023. "Impact of tariff refinement on the choice between scheduled C‐section and normal delivery: Evidence from France," PSE-Ecole d'économie de Paris (Postprint) hal-04157204, HAL.
    • Handle: RePEc:hal:pseptp:hal-04157204
    DOI: 10.1002/hec.4672
    Note: View the original document on HAL open archive server: https://hal.science/hal-04157204v1
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    References listed on IDEAS

    as
    1. Erin M. Johnson & M. Marit Rehavi, 2016. "Physicians Treating Physicians: Information and Incentives in Childbirth," American Economic Journal: Economic Policy, American Economic Association, vol. 8(1), pages 115-141, February.
    2. Grant, Darren, 2009. "Physician financial incentives and cesarean delivery: New conclusions from the healthcare cost and utilization project," Journal of Health Economics, Elsevier, vol. 28(1), pages 244-250, January.
    3. Ellis, Randall P., 1998. "Creaming, skimping and dumping: provider competition on the intensive and extensive margins1," Journal of Health Economics, Elsevier, vol. 17(5), pages 537-555, October.
    4. Boyd H. Gilman, 2000. "Hospital response to DRG refinements: the impact of multiple reimbursement incentives on inpatient length of stay," Health Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 277-294, June.
    Full references (including those not matched with items on IDEAS)

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