Literature DB >> 17379228

The production economics of nursing: a discussion paper.

David Newbold1.   

Abstract

Nursing is numerically the largest health profession providing direct care, and this, plus the imperative for effective cost control, makes their costs and impact a legitimate study focus and policy target. Production theory techniques can help nurse executives maximize outcome and minimize costs, yet little of such evidence currently exists in mainstream nursing workforce research. The balance of available evidence supports an inverse association between nurse staffing levels and adverse outcomes. However, 'adequate' staffing levels may be perceived as expensive and some providers may try to reduce them. The response, in some US and Australian states, is legislation to force hospitals to implement mandatory minimum patient-to-nurse (P/N) ratios. In this paper, existing data from Aiken et al. [2003. Education levels of hospital nurses and patient mortality. Journal of the American Medical Association 290, 1617-1623] is re-interpreted using production theory, to illustrate the possible relationship between two key workforce variables "Staff Level" and "Staff Mix", and clinical outcome, and show how this informs decision making. Consistent with other studies, this suggests that diminishing returns to each variable exist. This preliminary analysis suggests that increasing the number of graduate RNs in the workforce might be the most cost-effective way to expand the nursing workforce. However, more detailed and rigorous research is needed to estimate speciality specific cost and production functions and compute the optimal solution. This can predict the most cost-effective staff combination for a set outcome, or the set of inputs yielding best outcome for a given budget. With this, nurse executives can systematically maintain service quality or safety in the most economical way.

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Year:  2007        PMID: 17379228     DOI: 10.1016/j.ijnurstu.2007.01.007

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  5 in total

1.  Nurse forecasting in Europe (RN4CAST): Rationale, design and methodology.

Authors:  Walter Sermeus; Linda H Aiken; Koen Van den Heede; Anne Marie Rafferty; Peter Griffiths; Maria Teresa Moreno-Casbas; Reinhard Busse; Rikard Lindqvist; Anne P Scott; Luk Bruyneel; Tomasz Brzostek; Juha Kinnunen; Maria Schubert; Lisette Schoonhoven; Dimitrios Zikos
Journal:  BMC Nurs       Date:  2011-04-18

Review 2.  Is there an economic case for investing in nursing care--what does the literature tell us?

Authors:  Diane E Twigg; Helen Myers; Christine Duffield; Margaret Giles; Gemma Evans
Journal:  J Adv Nurs       Date:  2014-11-27       Impact factor: 3.187

3.  Determining acute nurse staffing: a hermeneutic review of an evolving science.

Authors:  Alison Leary; Geoffrey Punshon
Journal:  BMJ Open       Date:  2019-03-30       Impact factor: 2.692

4.  Association between registered nurse staffing levels and in-hospital mortality in craniotomy patients using Korean National Health Insurance data.

Authors:  Yunmi Kim; Se Young Kim; Kyounga Lee
Journal:  BMC Nurs       Date:  2020-05-07

5.  Analyzing economic feasibility for investing in nursing care: Evidence from panel data analysis in 35 OECD countries.

Authors:  Arshia Amiri; Tytti Solankallio-Vahteri
Journal:  Int J Nurs Sci       Date:  2019-06-22
  5 in total

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