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Examining regional variation in health care spending in British Columbia, Canada

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  • Lavergne, Miriam Ruth
  • Barer, Morris
  • Law, Michael R.
  • Wong, Sabrina T.
  • Peterson, Sandra
  • McGrail, Kimberlyn

Abstract

Examining regional variation in health care spending may reveal opportunities for improved efficiency. Previous research has found that health care spending and service use vary substantially from place to place, and this is often not explained by differences in the health status of populations or by better outcomes in higher-spending regions, but rather by differences in intensity of service provision. Much of this research comes from the United States. Whether similar patterns are observed in other high-income countries is not clear.

Suggested Citation

  • Lavergne, Miriam Ruth & Barer, Morris & Law, Michael R. & Wong, Sabrina T. & Peterson, Sandra & McGrail, Kimberlyn, 2016. "Examining regional variation in health care spending in British Columbia, Canada," Health Policy, Elsevier, vol. 120(7), pages 739-748.
    • Handle: RePEc:eee:hepoli:v:120:y:2016:i:7:p:739-748
    DOI: 10.1016/j.healthpol.2016.04.007
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    References listed on IDEAS

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    1. Nuti, Sabina & Seghieri, Chiara, 2014. "Is variation management included in regional healthcare governance systems? Some proposals from Italy," Health Policy, Elsevier, vol. 114(1), pages 71-78.
    2. Reid, R.J. & MacWilliam, l. & Verhulst, L. & Roos, N. & Atkinson, M., 2001. "Performance of the ACG Case-Mix System in Two Canadian Provinces," Centre for Health Services and Policy Research 2001:1r, University of British Columbia - Centre for Health Services and Policy Research..
    3. Gusmano, Michael K. & Weisz, Daniel & Rodwin, Victor G. & Lang, Jonas & Qian, Meng & Bocquier, Aurelie & Moysan, Veronique & Verger, Pierre, 2014. "Disparities in access to health care in three French regions," Health Policy, Elsevier, vol. 114(1), pages 31-40.
    4. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    5. Wennberg, David E. & Sharp, Sandra M. & Bevan, Gwyn & Skinner, Jonathan S. & Gottlieb, Daniel J. & Wennberg, John E., 2014. "A population health approach to reducing observational intensity bias in health risk adjustment: cross sectional analysis of insurance claims," LSE Research Online Documents on Economics 56671, London School of Economics and Political Science, LSE Library.
    6. Schang, Laura & Morton, Alec & DaSilva, Philip & Bevan, Gwyn, 2014. "From data to decisions?: exploring how healthcare payers respond to the NHS atlas of variation in healthcare in England," LSE Research Online Documents on Economics 50496, London School of Economics and Political Science, LSE Library.
    7. Bernal-Delgado, Enrique & García-Armesto, Sandra & Peiró, Salvador, 2014. "Atlas of Variations in Medical Practice in Spain: The Spanish National Health Service under scrutiny," Health Policy, Elsevier, vol. 114(1), pages 15-30.
    8. Jason Sutherland & R. T. Crump & Nadya Repin & Erik Hellsten, 2013. "Paying for Hospital Services: A Hard Look at the Options," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 378, April.
    9. Corallo, Ashley N. & Croxford, Ruth & Goodman, David C. & Bryan, Elisabeth L. & Srivastava, Divya & Stukel, Therese A., 2014. "A systematic review of medical practice variation in OECD countries," Health Policy, Elsevier, vol. 114(1), pages 5-14.
    10. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Analyzing regional variation in health care utilization using (rich) household microdata," Health Policy, Elsevier, vol. 114(1), pages 41-53.
    11. Amitabh Chandra & Jonathan Skinner, 2012. "Technology Growth and Expenditure Growth in Health Care," Journal of Economic Literature, American Economic Association, vol. 50(3), pages 645-680, September.
    12. Schang, Laura & Morton, Alec & DaSilva, Philip & Bevan, Gwyn, 2014. "From data to decisions? Exploring how healthcare payers respond to the NHS Atlas of Variation in Healthcare in England," Health Policy, Elsevier, vol. 114(1), pages 79-87.
    13. Evans, R.G. & Stoddart, G.L., 2003. "Consuming research, producing policy?," American Journal of Public Health, American Public Health Association, vol. 93(3), pages 371-379.
    14. Ozegowski, Susanne & Sundmacher, Leonie, 2014. "Understanding the gap between need and utilization in outpatient care—The effect of supply-side determinants on regional inequities," Health Policy, Elsevier, vol. 114(1), pages 54-63.
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