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The Political Economy of Diagnosis-Related Groups

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  • Bertoli, P.
  • Grembi, V.

Abstract

We provide a political economy interpretation of the variations in the prices of 6 obstetric diagnosis-related groups (DRGs) using Italy as a case study. Italy provides a unique institutional setting since the 21 regional governments can decide to adopt the national DRG system or to adjust/waive it. Using a panel fixed effects model, we exploit the results of 66 electoral ballots between 2000 and 2013 to estimate how obstetric DRGs are affected by the composition and characteristics of regional governments. We find that the incidence of physicians among regional politicians explains variations in DRGs with low technological intensity, such as normal newborn, but not of those with high technological intensity, as severely premature newborn. We further investigate these results by exploiting the implementation of a budget constraint policy. Applying a difference-in-difference strategy, we observe a decrease in the average levels of DRGs after the policy implementation, but the magnitude of this decrease depends on the presence of physicians among politicians and the political alignment between the regional and the national government. Finally, we rely on patient data (6,500,000 deliveries) to assess whether any of the political economy variables have a positive impact on the quality of regional obstetric systems. We find no effect.

Suggested Citation

  • Bertoli, P. & Grembi, V., 2016. "The Political Economy of Diagnosis-Related Groups," Health, Econometrics and Data Group (HEDG) Working Papers 16/33, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:16/33
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    Cited by:

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    3. Barili, E; & Bertoli, P; & Grembi, V;, 2020. "Title: Fees equalization and Appropriate Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 20/09, HEDG, c/o Department of Economics, University of York.
    4. Qian, Mengcen & Zhang, Xinyu & Chen, Yajing & Xu, Su & Ying, Xiaohua, 2021. "The pilot of a new patient classification-based payment system in China: The impact on costs, length of stay and quality," Social Science & Medicine, Elsevier, vol. 289(C).
    5. Bertoli, Paola & Grembi, Veronica, 2019. "Malpractice risk and medical treatment selection," Journal of Public Economics, Elsevier, vol. 174(C), pages 22-35.
    6. Takaku, Reo & Bessho, Shun-ichiro, 2018. "Political cycles in physician employment: A case of Japanese local public hospitals," Social Science & Medicine, Elsevier, vol. 216(C), pages 97-106.
    7. Paola Bertoli & Veronica Grembi, 2017. "Exploring the Nexus between Certainty in Injury Compensation and Treatment Selection," CERGE-EI Working Papers wp603, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    8. David C. Chan, Jr & Michael J. Dickstein, 2018. "Industry Input in Policymaking: Evidence from Medicare," NBER Working Papers 24354, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    Diagnosis-related Groups; Regional Governments; difference in differences;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • I1 - Health, Education, and Welfare - - Health

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