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Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?

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  • Nasibeh Azadeh-Fard
  • Navid Ghaffarzadegan
  • Jaime A Camelio

Abstract

Objective: To assess whether a patient’s in-hospital length of stay (LOS) and mortality can be explained by early objective and/or physicians’ subjective-risk assessments. Data Sources/Study Setting: Analysis of a detailed dataset of 1,021 patients admitted to a large U.S. hospital between January and September 2014. Study Design: We empirically test the explanatory power of objective and subjective early-risk assessments using various linear and logistic regression models. Principal Findings: The objective measures of early warning can only weakly explain LOS and mortality. When controlled for various vital signs and demographics, objective signs lose their explanatory power. LOS and death are more associated with physicians’ early subjective risk assessments than the objective measures. Conclusions: Explaining LOS and mortality require variables beyond patients’ initial medical risk measures. LOS and in-hospital mortality are more associated with the way in which the human element of healthcare service (e.g., physicians) perceives and reacts to the risks.

Suggested Citation

  • Nasibeh Azadeh-Fard & Navid Ghaffarzadegan & Jaime A Camelio, 2016. "Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-9, September.
    • Handle: RePEc:plo:pone00:0162976
    DOI: 10.1371/journal.pone.0162976
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    References listed on IDEAS

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    1. Mikkel Brabrand & Jesper Hallas & Torben Knudsen, 2014. "Nurses and Physicians in a Medical Admission Unit Can Accurately Predict Mortality of Acutely Admitted Patients: A Prospective Cohort Study," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-7, July.
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