IDEAS home Printed from https://ideas.repec.org/p/fer/wpaper/31.html
   My bibliography  Save this paper

Dimensions of health care system quality in Finland

Author

Listed:
  • Pääkkönen, Jenni
  • Seppälä, Timo

Abstract

This paper evaluates the determinants of quality - cost relationship in primary health care. We first summarize information from various indicators of care by principal component analysis (PCA), effectively producing quality of care indicators: accessibility, coverage and allocative efficiency. We then regress the costs of care against these indicators to evaluate their relationship. Our results suggest that PCA may be used to produce quality of care indicators. Furthermore, the relationship between the costs and quality of care is complex. Better accessibility is reflected in higher costs, whereas the efficient allocation of resources will bring some cost savings.

Suggested Citation

  • Pääkkönen, Jenni & Seppälä, Timo, 2012. "Dimensions of health care system quality in Finland," Working Papers 31, VATT Institute for Economic Research.
    • Handle: RePEc:fer:wpaper:31
    as

    Download full text from publisher

    File URL: https://www.doria.fi/handle/10024/148770
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. Sloan, Frank A. & Picone, Gabriel A. & TaylorJr., Donald H. & Chou, Shin-Yi, 2001. "Hospital ownership and cost and quality of care: is there a dime's worth of difference?," Journal of Health Economics, Elsevier, vol. 20(1), pages 1-21, January.
    3. McClellan Mark & Staiger Douglas, 2000. "Comparing the Quality of Health Care Providers," Forum for Health Economics & Policy, De Gruyter, vol. 3(1), pages 1-26, January.
    4. Gertler, Paul J & Waldman, Donald M, 1992. "Quality-Adjusted Cost Functions and Policy Evaluation in the Nursing Home Industry," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1232-1256, December.
    5. Willi Leibfritz & Deborah Roseveare & Douglas Fore & Eckhard Wurzel, 1995. "Ageing Populations, Pension Systems and Government Budgets: How Do They Affect Saving?," OECD Economics Department Working Papers 156, OECD Publishing.
    6. Casparie, Anton F. & M. Sluijs, Emmy & Wagner, Cordula & de Bakker, Dinny H., 1997. "Quality systems in Dutch health care institutions," Health Policy, Elsevier, vol. 42(3), pages 255-267, December.
    7. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    8. Sally C. Stearns & Edward C. Norton, 2004. "Time to include time to death? The future of health care expenditure predictions," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 315-327, April.
    9. Wray, Nelda P. & Ashton, Carol M. & Kuykendall, David H. & Hollingsworth, John C., 1995. "Using administrative databases to evaluate the quality of medical care: A conceptual framework," Social Science & Medicine, Elsevier, vol. 40(12), pages 1707-1715, June.
    10. Ronald Lee, 2003. "The Demographic Transition: Three Centuries of Fundamental Change," Journal of Economic Perspectives, American Economic Association, vol. 17(4), pages 167-190, Fall.
    11. Lee, Hanjoon & Delene, Linda M. & Bunda, Mary Anne & Kim, Chankon, 2000. "Methods of Measuring Health-Care Service Quality," Journal of Business Research, Elsevier, vol. 48(3), pages 233-246, June.
    12. Mark McClellan & Douglas Staiger, 1999. "The Quality of Health Care Providers," NBER Working Papers 7327, National Bureau of Economic Research, Inc.
    13. Newhouse, Joseph P, 1987. "Health Economics and Econometrics," American Economic Review, American Economic Association, vol. 77(2), pages 269-274, May.
    14. Meena Seshamani & Alastair Gray, 2004. "Ageing and health‐care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314, April.
    15. Ronald R. Braeutigam & Mark V. Pauly, 1986. "Cost Function Estimation and Quality Bias: The Regulated Automobile Insurance Industry," RAND Journal of Economics, The RAND Corporation, vol. 17(4), pages 606-617, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carine Milcent, 2005. "Hospital ownership, reimbursement systems and mortality rates," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1151-1168, November.
    2. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    3. Claus Brand & Daniel Buncic & Jarkko Turunen, 2010. "The Impact of ECB Monetary Policy Decisions and Communication on the Yield Curve," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1266-1298, December.
    4. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    5. Georges Bresson & Jean-Michel Etienne & Pierre Mohnen, 2011. "How important is innovation? A Bayesian factor-augmented productivity model on panel data," TEPP Working Paper 2011-06, TEPP.
    6. Friedrich Breyer & Normann Lorenz & Thomas Niebel, 2015. "Health care expenditures and longevity: is there a Eubie Blake effect?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 95-112, January.
    7. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    8. Stefan Felder, 2006. "Lebenserwartung, medizinischer Fortschritt und Gesundheitsausgaben: Theorie und Empirie," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(s1), pages 49-73, May.
    9. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    10. Vincenzo Atella & Valentina Conti, 2013. "The effect of age and time to death on health care expenditures: the Italian experience," CEIS Research Paper 267, Tor Vergata University, CEIS, revised 12 Nov 2013.
    11. repec:dau:papers:123456789/1630 is not listed on IDEAS
    12. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    13. Marc Carreras & Pere Ibern & José María Inoriza, 2018. "Ageing and healthcare expenditures: Exploring the role of individual health status," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 865-876, May.
    14. Laurent Gobillon & Carine Milcent, 2013. "Spatial disparities in hospital performance," Journal of Economic Geography, Oxford University Press, vol. 13(6), pages 1013-1040, November.
    15. Siciliani Luigi, 2013. "The Economics of Long-Term Care," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(2), pages 343-375, August.
    16. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Papers 2201.06605, arXiv.org, revised Sep 2023.
    17. 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.
    18. Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117, National Bureau of Economic Research, Inc.
    19. Claudia Geue & Paula Lorgelly & James Lewsey & Carole Hart & Andrew Briggs, 2015. "Hospital Expenditure at the End-of-Life: What Are the Impacts of Health Status and Health Risks?," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
    20. Pierre‐Daniel Sarte, 2014. "When Is Sticky Information More Information?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1345-1379, October.
    21. France Weaver & Sally C. Stearns & Edward C. Norton & William Spector, 2009. "Proximity to death and participation in the long‐term care market," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 867-883, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fer:wpaper:31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anita Niskanen (email available below). General contact details of provider: https://edirc.repec.org/data/vatttfi.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.