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Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms

Author

Listed:
  • Michael Berger

    (Medical University of Vienna
    Institute for Advanced Studies)

  • Markus Pock

    (Institute for Advanced Studies)

  • Miriam Reiss

    (Institute for Advanced Studies)

  • Gerald Röhrling

    (Institute for Advanced Studies)

  • Thomas Czypionka

    (Institute for Advanced Studies
    London School of Economics and Political Science)

Abstract

Increasing expenditures on retail pharmaceuticals bring a critical challenge to the financial stability of healthcare systems worldwide. Policy makers have reacted by introducing a range of measures to control the growth of public pharmaceutical expenditure (PPE). Using panel data on European and non-European OECD member countries from 1990 to 2015, we evaluate the effectiveness of six types of demand-side expenditure control measures including physician-level behaviour measures, system-level price-control measures and substitution measures, alongside a proxy for cost-sharing and add a new dimension to the existing empirical evidence hitherto based on national-level and meta-studies. We use the weighted-average least squares regression framework adapted for estimation with panel-corrected standard errors. Our empirical analysis suggests that direct patient cost-sharing and some—but not all—demand-side measures successfully dampened PPE growth in the past. Cost-sharing schemes stand out as a powerful mechanism to curb PPE growth, but bear a high risk of adverse effects. Other demand-side measures are more limited in effect, though may be more equitable. Due to limitations inherent in the study approach and the data, the results are only explorative.

Suggested Citation

  • Michael Berger & Markus Pock & Miriam Reiss & Gerald Röhrling & Thomas Czypionka, 2023. "Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms," International Journal of Health Economics and Management, Springer, vol. 23(1), pages 149-172, March.
  • Handle: RePEc:kap:ijhcfe:v:23:y:2023:i:1:d:10.1007_s10754-022-09337-6
    DOI: 10.1007/s10754-022-09337-6
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    References listed on IDEAS

    as
    1. Howdon, Daniel & Rice, Nigel, 2018. "Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population," Journal of Health Economics, Elsevier, vol. 57(C), pages 60-74.
    2. Iván Moreno-Torres & Jaume Puig-Junoy & Josep Raya, 2011. "The impact of repeated cost containment policies on pharmaceutical expenditure: experience in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(6), pages 563-573, December.
    3. Magnus, Jan R. & Powell, Owen & Prüfer, Patricia, 2010. "A comparison of two model averaging techniques with an application to growth empirics," Journal of Econometrics, Elsevier, vol. 154(2), pages 139-153, February.
    4. Okunade, Albert A. & Suraratdecha, Chutima, 2006. "The pervasiveness of pharmaceutical expenditure inertia in the OECD countries," Social Science & Medicine, Elsevier, vol. 63(1), pages 225-238, July.
    5. Giuseppe De Luca & Jan R. Magnus, 2011. "Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues," Stata Journal, StataCorp LP, vol. 11(4), pages 518-544, December.
    6. De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2018. "Weighted-average least squares estimation of generalized linear models," Journal of Econometrics, Elsevier, vol. 204(1), pages 1-17.
    7. Jan R. Magnus & J. Durbin, 1999. "Estimation of Regression Coefficients of Interest When Other Regression Coefficients Are of No Interest," Econometrica, Econometric Society, vol. 67(3), pages 639-644, May.
    8. Léonard, Christian & Stordeur, Sabine & Roberfroid, Dominique, 2009. "Association between physician density and health care consumption: A systematic review of the evidence," Health Policy, Elsevier, vol. 91(2), pages 121-134, July.
    9. Ghislandi, Simone & Krulichova, Iva & Garattini, Livio, 2005. "Pharmaceutical policy in Italy: towards a structural change?," Health Policy, Elsevier, vol. 72(1), pages 53-63, April.
    10. Magnus, Jan R. & Wan, Alan T.K. & Zhang, Xinyu, 2011. "Weighted average least squares estimation with nonspherical disturbances and an application to the Hong Kong housing market," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1331-1341, March.
    11. Moundigbaye, Mantobaye & Rea, William S. & Reed, W. Robert, 2018. "Which panel data estimator should I use? A corrigendum and extension," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    12. Sabine Vogler & Guillaume Dedet & Hanne Bak Pedersen, 2019. "Financial Burden of Prescribed Medicines Included in Outpatient Benefits Package Schemes: Comparative Analysis of Co-Payments for Reimbursable Medicines in European Countries," Applied Health Economics and Health Policy, Springer, vol. 17(6), pages 803-816, December.
    13. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    14. Jan R. Magnus & Giuseppe De Luca, 2016. "Weighted-Average Least Squares (Wals): A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 117-148, February.
    15. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    16. Annalisa Belloni & David Morgan & Valérie Paris, 2016. "Pharmaceutical Expenditure And Policies: Past Trends And Future Challenges," OECD Health Working Papers 87, OECD Publishing.
    17. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    18. Giuliani, Giovanni & Selke, Gisbert & Garattini, Livio, 1998. "The German experience in reference pricing," Health Policy, Elsevier, vol. 44(1), pages 73-85, April.
    19. Mujaheed Shaikh & Afschin Gandjour, 2019. "Pharmaceutical expenditure and gross domestic product: Evidence of simultaneous effects using a two‐step instrumental variables strategy," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 101-122, January.
    20. Matteo Galizzi & Simone Ghislandi & Marisa Miraldo, 2011. "Effects of Reference Pricing in Pharmaceutical Markets," PharmacoEconomics, Springer, vol. 29(1), pages 17-33, January.
    21. Andersson, Karolina & Bergstrom, Gina & Petzold, Max G. & Carlsten, Anders, 2007. "Impact of a generic substitution reform on patients' and society's expenditure for pharmaceuticals," Health Policy, Elsevier, vol. 81(2-3), pages 376-384, May.
    22. Pierre Moïse & Elizabeth Docteur, 2007. "Pharmaceutical Pricing and Reimbursement Policies in Sweden," OECD Health Working Papers 28, OECD Publishing.
    23. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.
    24. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496, September.
    25. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    26. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    27. Katharina Elisabeth Fischer & Taika Koch & Karel Kostev & Tom Stargardt, 2018. "The impact of physician-level drug budgets on prescribing behavior," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 213-222, March.
    28. Barros, Pedro Pita & Nunes, Luis C., 2010. "The impact of pharmaceutical policy measures: An endogenous structural-break approach," Social Science & Medicine, Elsevier, vol. 71(3), pages 440-450, August.
    29. 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.
    30. Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
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    More about this item

    Keywords

    Public pharmaceutical expenditure; Health expenditure; Pharmaceutical policy; Panel data models; Weighted-average least squares;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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