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Costs and outcomes associated with alternative discharge strategies following joint replacement surgery: analysis of an observational study using a propensity score

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  • Coyte, Peter C.
  • Young, Wendy
  • Croxford, Ruth

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  • Coyte, Peter C. & Young, Wendy & Croxford, Ruth, 2000. "Costs and outcomes associated with alternative discharge strategies following joint replacement surgery: analysis of an observational study using a propensity score," Journal of Health Economics, Elsevier, vol. 19(6), pages 907-929, November.
    • Handle: RePEc:eee:jhecon:v:19:y:2000:i:6:p:907-929
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Feigenbaum, Susan & Anderson, Gerard & Lave, Judith R, 1992. "Medicare's Prospective Payment System: The Victim of Aggregation Bias?," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 185-191, February.
    3. Kenney, G.M., 1993. "Is access to home health care a problem in rural areas?," American Journal of Public Health, American Public Health Association, vol. 83(3), pages 412-414.
    4. Williams, Allison M., 1996. "The development of Ontario's Home Care Program: A critical geographical analysis," Social Science & Medicine, Elsevier, vol. 42(6), pages 937-948, March.
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    Cited by:

    1. Manca, A & Austin, P. C, 2008. "Using propensity score methods to analyse individual patient-level cost-effectiveness data from observational studies," Health, Econometrics and Data Group (HEDG) Working Papers 08/20, HEDG, c/o Department of Economics, University of York.
    2. Rei Watanabe & Yasushi Ohkusa, 2001. "Comparison Between Treatment Outcomes in Ischaemic Heart Disease Using Surveys of Medical Care in Japan," ISER Discussion Paper 0547, Institute of Social and Economic Research, Osaka University.
    3. Damien Bricard & Zeynep Or, 2018. "Does an Early Primary Care Follow-up after Discharge Reduce Readmissions for Heart Failure Patients?," Working Papers DT73, IRDES institut for research and information in health economics, revised Mar 2018.
    4. Sutherland, Jason M. & Hellsten, Erik & Yu, Kevin, 2012. "Bundles: An opportunity to align incentives for continuing care in Canada?," Health Policy, Elsevier, vol. 107(2), pages 209-217.
    5. Laudicella, Mauro & Li Donni, Paolo & Smith, Peter C., 2013. "Hospital readmission rates: Signal of failure or success?," Journal of Health Economics, Elsevier, vol. 32(5), pages 909-921.
    6. Basu, A & Polsky, D & Manning, W G, 2008. "Use of propensity scores in non-linear response models: The case for health care expenditures," Health, Econometrics and Data Group (HEDG) Working Papers 08/11, HEDG, c/o Department of Economics, University of York.
    7. Damien Bricard & Zeynep Or, 2019. "Impact of early primary care follow-up after discharge on hospital readmissions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 611-623, June.
    8. Daniel M. Walker, 2018. "Does participation in health information exchange improve hospital efficiency?," Health Care Management Science, Springer, vol. 21(3), pages 426-438, September.

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