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The determinants of efficiency in the Canadian health care system

Published online by Cambridge University Press:  07 May 2015

Sara Allin*
Affiliation:
Canadian Institute for Health Information, Toronto, ON, Canada University of Toronto, Toronto, ON, Canada
Michel Grignon
Affiliation:
McMaster University, Hamilton, ON, Canada
Li Wang
Affiliation:
Canadian Institute for Health Information, Toronto, ON, Canada McMaster University, Hamilton, ON, Canada
*
*Correspondence to: Sara Allin, Senior Researcher, Canadian Institute for Health Information (CIHI), 4110 Yonge Street, Suite 300, Toronto, ON M2P 2B7, Canada. Email: sallin@cihi.ca

Abstract

In spite of the vast number of studies measuring economic efficiency in health care, there has been little take-up of this evidence by policy-makers to date. This study provides an illustration of how a system-level study drawing on best practice in empirical measurement of efficiency may be of practical use to health system decision makers and managers. We make use of the rich data available in Canada to undertake a robust two-stage data envelopment analysis to calculate efficiency at the regional (sub-provincial) level. Decisions about what the health system produces (the outcome to measure efficiency against) and what are the resources it has to produce that outcome were based on interviews and consultation with health system decision makers. Overall, we find large inefficiencies in the Canadian health care system, which could improve outcomes (here, measured as a reduction in treatable causes of death) by between 18 and 35% across our analyses. Also, we find that inefficiencies are the result of three main sets of factors that policy makers could pay attention to: management factors, such as hospital re-admissions; public health factors, such as obesity and smoking rates; and environmental factors such as the population’s average income.

Type
Articles
Copyright
© Cambridge University Press 2015 

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References

Abelson, J. and Pasic, D. (2011), Health System Efficiency Project: A Qualitative Study of Provincial and Territorial Health Ministry Perspectives, Ottawa, ON: CIHI.Google Scholar
Afonso, A. and St. Aubyn, M. (2006), Relative Efficiency of Health Provision: A DEA Approach With Non-Discretionary Inputs. http://www.iseg.utl.pt/departamentos/economia/wp/wp332006deuece.pdf [19 September 2013].Google Scholar
Badunenko, O., Henderson, D. J. and Kumbhakar, S. B. (2012), ‘When, where and how to perform efficiency estimation’, Journal of the Royal Statistical Society, 175(4): 863892.Google Scholar
Bentley, T., Effros, R., Palar, K. and Keeler, E. B. (2008), ‘Waste in the U.S. health care system: a conceptual framework’, The Milbank Quarterly, 86(4): 629659.Google Scholar
Boutwell, A. E., Bihrle Johnson, M., Rutherford, P., Watson, S.R., Vecchioni, N., Auerbach, B. S., Griswold, P., Noga, P. and Wagner, C. (2013), ‘An early look at a four-state initiative to reduce avoidable hospital readmissions’, Health Affairs, 30(7): 12721280.Google Scholar
Canadian Institute for Health Information (CIHI) (2012a), Developing a Model for Measuring the Efficiency of the Health System in Canada, Ottawa, ON: CIHI.Google Scholar
Canadian Institute for Health Information (CIHI) (2012b), Health Indicators 2012, Ottawa, ON: CIHI.Google Scholar
Charnes, A., Cooper, W. and Rhodes, E. (1978), ‘Measuring the efficiency of decision-making units’, European Journal of Operational Research, 2: 429444.Google Scholar
Coelli, T. J., Rao, D. S. P., O’Donnell, C. J. and Battese, G. E. (2005), An Introduction to efficiency and productivity analysis, 2nd edn, New York: Springer.Google Scholar
Felder, S. and Tauchmann, H. (2013), ‘Federal state differentials in the efficiency of health production in Germany: an artifact of spatial dependence?European Journal of Health Economics, 14(1): 2139.Google Scholar
Fried, H. O., Lovell, K. C. A. and Schmidt, S. S. (2008), The Measurement of Productive Efficiency and Productivity Growth, New York: Oxford University Press Inc.Google Scholar
Greene, W. (2004), ‘Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems’, Health Economics, 13: 959980.CrossRefGoogle ScholarPubMed
Hadad, S., Hadad, Y. and Simon-Tuval, T., Ben-Gurion U. Negev (2013), ‘Determinants of healthcare system’s efficiency in OECD countries’, European Journal of Health Economics, 14(2): 253265.Google Scholar
Häkkinen, U., Iversen, T., Peltola, M., Seppälä, T. T., Malmivaara, A., Belicza, É., Fattore, G., Numerato, D., Heijink, R., Medin, E. and Rehnberg, C. (2013), ‘Health care performance comparison using a disease-based approach: the EuroHOPE project’, Health Policy, 112(1–2): 100109.Google Scholar
Hollingsworth, B. (2008), ‘The measurement of efficiency and productivity of health care delivery’, Health Economics, 17(10): 11011128.Google Scholar
Hollingsworth, B. (2012), ‘Revolution, evolution, or status quo? Guidelines for efficiency measurement in health care’, Journal of Productivity Analysis, 37: 15.Google Scholar
Hollingsworth, B. and Smith, P. (2003), ‘The use of ratios in data envelopment analysis’, Applied Economics Letters, 10(11): 733735.Google Scholar
Hollingsworth, B. and Peacock, S. J. (2008), Efficiency Measurement in Health and Health Care, New York: Routledge.Google Scholar
Jacobs, R., Smith, P. C. and Street, A. (2006), Measuring Efficiency in Health Care: Analytic Techniques and Health Policy, Cambridge, UK: Cambridge University Press.Google Scholar
Jencks, S. F., Williams, M. V. and Coleman, E. A. (2009), ‘Rehospitalisations among patients in the Medicare fee-for-service program’, New England Journal of Medicine, 360(14): 14181428.Google Scholar
Joumard, I., Hoeller, P., André, C. and Nicq, C. (2010), Health Care Systems: Efficiency and Policy Settings, Paris, France: OECD Publishing.Google Scholar
Joynt, K. E. and Jha, A. K. (2011), ‘Who has higher readmission rates for heart failure, and why?: implications for efforts to improve care using financial incentives’, Circulation: Cardiovascular Quality and Outcomes, 4: 5359.Google Scholar
Lavis, J. N. (2011), Dialogue Summary: Measuring Health System Efficiency in Canada, Hamilton, ON: McMaster Health Forum.Google Scholar
Liu, C. (2008), Three Essays on Health Economics, Guelph, ON: University of Guelph.Google Scholar
McCallion, G. M., Glass, J. C., Jackson, R., Kerr, C. A. and McKillop, D. G. (2000), ‘Investigating productivity change and hospital size: a nonparametric frontier approach’, Applied Economics, 32: 161174.Google Scholar
McGlynn, E. A., Asch, S. M., Adams, J., Kessey, J., Hicks, J., DeCristofaro, A. and Kerr, E. A. (2003), ‘The quality of health care delivered to adults in the United States’, New England Journal of Medicine, 348(26): 26352645.Google Scholar
Mohammad, R.Alirezaee (1998), sampling size and efficiency bias in data envelopment analysis’, Journal of Applied Mathematics& Decision Sciences, 2(1): 5164.Google Scholar
Newhouse, J. P. (1994), ‘Frontier estimation: how useful a tool for health economics’, Journal of Health Economics, 13(3): 317322.Google Scholar
Nolte, E., Scholz, R., Shkolnikov, V. and McKee, M. (2002), ‘The contribution of medical care to changing life expectancy in Germany and Poland’, Social Science and Medicine, 55: 19071923.Google Scholar
Nolte, E. and McKee, M. (2008), ‘Measuring the health of nations: updating an earlier analysis’, Health Affairs, 27: 5871.Google Scholar
Organisation for Economic Cooperation and Development (OECD) (2011), Health at a Glance 2011: OECD Indicators. http://www.oecd.org/els/health-systems/49105858.pdf [24 September 2013].Google Scholar
Ryltseva, A. (2010), Determinants of health status and the difference in efficiency of the utilisation of health care inputs in countries of the former Soviet Union, CEU eTD Collection, http://www.etd.ceu.hu/2010/ryltseva_anna.pdf [21 November 2013].Google Scholar
Simar, L. and Wilson, P. W. (1998), ‘Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models’, Management Science, 44(1): 4961.Google Scholar
Simar, L. and Wilson, P. W. (2007), ‘Estimation and inference in two-stage, semi-parametric models of production processes’, Journal of Econometrics, 136: 3164.Google Scholar
Smith, P. (1997), ‘Model misspecification in data envelopment analysis’, Annals of Operations Research, 73: 233252.Google Scholar
Smith, P. and Street, A. (2005), ‘Measuring the efficiency of public services: the limits of analysis’, Journal of the Royal Statistical Society, 168(2): 401417.Google Scholar
Smith, M., Saunders, R., Stuckhardt, L. and McGinnis, J. M. E. (2012), Best Care at Lowest Cost: The Path to Coninuously Learning Health Care in America, Washington, DC: National Academies Press.Google Scholar
Statistics Canada (2013a), Table 102-4311, Premature and potentially avoidable mortality, three-year average, Canada, provinces, territories, health regions and peer groups, occasional, CANSIM (database). 12 April. Statistics Canada, Ottawa, ON. 16 September.Google Scholar
Statistics Canada (2013b), Table 109-0300, Census indicator profile, Canada, provinces, territories, health regions (2001 boundaries) and peer groups. http://www5.statcan.gc.ca/cansim/a26?lang=eng&id=1090300 [21 November 2013].Google Scholar
Steyerberg, E. W., Eijkemans, M. J. C., Harrell, F. E. and Habbema, J. D. F. (2000), ‘Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methodsin small data sets’, Statistics in Medicine, 19: 10591079.Google Scholar
Stukel, T., Fisher, E. S., Alter, D. A., Guttmann, A., Ko, D. T., Fung, K., Wodchis, W. P., Baxter, N. N., Earle, C. C. and Lee, D. S. (2012), ‘Association of hospital spending intensity with mortality and readmission rates in Ontario hospitals’, Journal of the American Medical Association, 307(10): 10371045.Google Scholar
Valdmanis, V. G., Rosko, M. D. and Mutter, R. L. (2008), ‘Hospital quality, efficiency, and input slack differentials’, Health Services Research, 43(5 Pt 2): 18301848.Google Scholar
Van Doorslaer, E. and Masseria, C. (2004), Income-Related Inequality in the Use of Medical Care in 21 OECD Countries, Paris, France: OECD.Google Scholar
Wilson, P. W. (1993), ‘Detecting outliers in deterministic nonparametric frontier models with multiple outputs’, Journal of Business and Economic Statistics, 11(3): 319323.Google Scholar
Wranik, D. (2012), ‘Healthcare policy tools as determinants of health-system efficiency: evidence from the OECD’, Health Economics, Policy and Law, 7: 197226.Google Scholar
Zere, E., McIntyre, D. and Addison, T. (2001), ‘Technical efficiency and productivity of public sector hospitals in three South African provinces’, South African Journal of Economics, 69(2): 336358.Google Scholar