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Higher quality and lower cost from improving hospital discharge decision making

Author

Listed:
  • Cox, James C.
  • Sadiraj, Vjollca
  • Schnier, Kurt E.
  • Sweeney, John F.

Abstract

This paper reports research on improving decisions about hospital discharges – decisions that are now made by physicians based on mainly subjective evaluations of patients’ discharge status. We report an experiment on uptake of our clinical decision support system (CDSS) which presents physicians with evidence-based discharge criteria that can be effectively applied at the point of care where the discharge decision is made. One experimental treatment we report prompts physician attentiveness to the CDSS by replacing the default option of universal “opt in” to patient discharge with the alternative default option of “opt out” from the CDSS recommendations to discharge or not to discharge the patient on each day of hospital stay. We also report results from experimental treatments that implement the CDSS under varying conditions of time pressure on the subjects. The experiment was conducted using resident physicians and fourth-year medical students at a university medical school as subjects.

Suggested Citation

  • Cox, James C. & Sadiraj, Vjollca & Schnier, Kurt E. & Sweeney, John F., 2016. "Higher quality and lower cost from improving hospital discharge decision making," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PB), pages 1-16.
  • Handle: RePEc:eee:jeborg:v:131:y:2016:i:pb:p:1-16
    DOI: 10.1016/j.jebo.2015.03.017
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    References listed on IDEAS

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    Cited by:

    1. Cox, James C. & Sadiraj, Vjollca & Schnier, Kurt E. & Sweeney, John F., 2016. "Incentivizing cost-effective reductions in hospital readmission rates," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PB), pages 24-35.
    2. James C. Cox & Vjollca Sadiraj & Kurt E. Schnier & John F. Sweeney, 2017. "Fit as a Fiddle or Sick as a Dog: Effects of Subjective Patient Reports on Uptake of Clinical Decision Support," Experimental Economics Center Working Paper Series 2017-03, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.

    More about this item

    Keywords

    Healthcare; Experiment; Clinical Decision Support System; Risk; Default option;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I10 - Health, Education, and Welfare - - Health - - - General

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