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Nurse-to-patient ratios in hospital staffing: A queueing perspective

Author

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  • Francis de Véricourt

    (ESMT European School of Management and Technology)

  • Otis B. Jennings

    (Duke University)

Abstract

The immediate motivation of this paper is California Bill AB 394, legislation which mandates fixed nurse-to-patient staffing ratios as a means to address the current crisis in the quality of health care delivery. Modeling medical units as closed queueing systems, we seek to determine whether or not ratio policies are effective at managing nurse workload. Our many-server asymptotic results suggest that ratio policies cannot provide consistently high service quality across medical units of different sizes. As a remedy, we recommend policies that deviate from the restrictive linear nature of ratio policies, employing the "square root rule" commonly used to staff large service systems. Under some quality of care assumptions, our policies exhibit a type of "super" pooling effect, in which, for large systems, the requisite workforce is significantly smaller than the nominal patient load.

Suggested Citation

  • Francis de Véricourt & Otis B. Jennings, 2008. "Nurse-to-patient ratios in hospital staffing: A queueing perspective," ESMT Research Working Papers ESMT-08-005, ESMT European School of Management and Technology.
    • Handle: RePEc:esm:wpaper:esmt-08-005
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    File URL: http://static.esmt.org/publications/workingpapers/ESMT-08-005.pdf
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    Cited by:

    1. R. Bekker & A. Bruin, 2010. "Time-dependent analysis for refused admissions in clinical wards," Annals of Operations Research, Springer, vol. 178(1), pages 45-65, July.
    2. Gregory Dobson & Hsiao-Hui Lee & Edieal Pinker, 2010. "A Model of ICU Bumping," Operations Research, INFORMS, vol. 58(6), pages 1564-1576, December.

    More about this item

    Keywords

    queueing system; health care; public policy; nursing; staffing; manyserver limit theorems;
    All these keywords.

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