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Estimating the Out-of-Hospital Mortality Rate Using Patient Discharge Data

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  • Mehdi Farsi
  • Geert Ridder

Abstract

This paper is a case study of the use of public use administrative data for the estimation of empirical relations when key dependent variables are not available in the data. It is shown that the out-of-hospital mortality rates can be identified using the patient discharge data without post-discharge death records. Using data on the lengths of hospitalizations and out-of-hospital spells, the mortality rates before and after discharge as well as discharge and re-hospitalization rates are estimated for a sample of heart-attack patients hospitalized in California between 1992 and 1998. The results suggest that ignoring variation of discharge rates among hospital types could be misleading in evaluating hospital performance regarding mortality risks.

Suggested Citation

  • Mehdi Farsi & Geert Ridder, 2006. "Estimating the Out-of-Hospital Mortality Rate Using Patient Discharge Data," IEPR Working Papers 06.45, Institute of Economic Policy Research (IEPR).
    • Handle: RePEc:scp:wpaper:06-45
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    10. Janet Currie & Mehdi Farsi & W. Bentley Macleod, 2005. "Cut to the Bone? Hospital Takeovers and Nurse Employment Contracts," ILR Review, Cornell University, ILR School, vol. 58(3), pages 471-493, April.
    11. Mark B. McClellan & Douglas O. Staiger, 2000. "Comparing Hospital Quality at For-Profit and Not- for-Profit Hospitals," NBER Chapters, in: The Changing Hospital Industry: Comparing Not-for-Profit and For-Profit Institutions, pages 93-112, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Paul H. Jensen & Elizabeth Webster & Julia Witt, 2009. "Hospital type and patient outcomes: an empirical examination using AMI readmission and mortality records," Health Economics, John Wiley & Sons, Ltd., vol. 18(12), pages 1440-1460, December.
    2. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    3. Daysal, N. Meltem, 2012. "Does uninsurance affect the health outcomes of the insured? Evidence from heart attack patients in California," Journal of Health Economics, Elsevier, vol. 31(4), pages 545-563.
    4. Kuhlmey, Florian & Minke, Matthias, 2018. "Estimating Survival Times Using Swiss Hospital Data," Working papers 2018/14, Faculty of Business and Economics - University of Basel.
    5. Cinzia Di Novi & Lucia Leporatti & Marcello Montefiori, 2020. "Older patients and geographic barriers to pharmacy access: When nonadherence translates to an increased use of other components of health care," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 97-109, October.

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    Keywords

    Mortality; Hospital quality; Duration models; Survival analysis;
    All these keywords.

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