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A framework to evaluate the effects of small area variations in healthcare infrastructure on diagnostics and patient outcomes of rare diseases based on administrative data

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  • Stargardt, Tom
  • Schreyögg, Jonas

Abstract

Small area variations in healthcare infrastructure may result in differences in early detection and outcomes for patients with rare diseases.

Suggested Citation

  • Stargardt, Tom & Schreyögg, Jonas, 2012. "A framework to evaluate the effects of small area variations in healthcare infrastructure on diagnostics and patient outcomes of rare diseases based on administrative data," Health Policy, Elsevier, vol. 105(2), pages 110-118.
    • Handle: RePEc:eee:hepoli:v:105:y:2012:i:2:p:110-118
    DOI: 10.1016/j.healthpol.2012.01.011
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    References listed on IDEAS

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    1. Mercuri, Mathew & Natarajan, Madhu K. & Norman, Geoff & Gafni, Amiram, 2012. "An even smaller area variation: Differing practice patterns among interventional cardiologists within a single high volume tertiary cardiac centre," Health Policy, Elsevier, vol. 104(2), pages 179-185.
    2. Stano, Miron, 1993. "Evaluating the policy role of the small area variations and physician practice style hypotheses," Health Policy, Elsevier, vol. 24(1), pages 9-17, April.
    3. Phelps, Charles E., 1995. "Welfare loss from variations: further considerations," Journal of Health Economics, Elsevier, vol. 14(2), pages 253-260, June.
    4. Serden, Lisbeth & Lindqvist, Rikard & Rosen, Mans, 2003. "Have DRG-based prospective payment systems influenced the number of secondary diagnoses in health care administrative data?," Health Policy, Elsevier, vol. 65(2), pages 101-107, August.
    5. Anirban Basu & Willard G. Manning & John Mullahy, 2004. "Comparing alternative models: log vs Cox proportional hazard?," Health Economics, John Wiley & Sons, Ltd., vol. 13(8), pages 749-765, August.
    6. Nigel Rice & Andrew Jones, 1997. "Multilevel models and health economics," Health Economics, John Wiley & Sons, Ltd., vol. 6(6), pages 561-575, November.
    7. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    8. Schneeweiss, Sebastian & Maclure, Malcolm & Walker, Alexander M. & Grootendorst, Paul & Soumerai, Stephen B., 2001. "On the evaluation of drug benefits policy changes with longitudinal claims data: the policy maker's versus the clinician's perspective," Health Policy, Elsevier, vol. 55(2), pages 97-109, February.
    9. Jonas Schreyögg & Tom Stargardt & Oliver Tiemann, 2011. "Costs and quality of hospitals in different health care systems: a multi‐level approach with propensity score matching," Health Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 85-100, January.
    10. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    Cited by:

    1. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Analyzing Regional Variation in Health Care Utilization Using (Rich) Household Microdata," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 114(1), pages 41-53.
    2. Blankart, Carl Rudolf, 2012. "Does healthcare infrastructure have an impact on delay in diagnosis and survival?," Health Policy, Elsevier, vol. 105(2), pages 128-137.

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