Title

Identifying nurse-sensitive indicators for stand-alone high acuity areas: a systematic review

Document Type

Journal Article

Publisher

Elsevier Ltd

School

School of Nursing and Midwifery

RAS ID

25524

Comments

Originally published as : Myers, H., Pugh, J. D., & Twigg, D. E. (2017). Identifying nurse-sensitive indicators for stand-alone high acuity areas: A systematic review. Collegian. Advance online publication. Original article available here

Abstract

Aim

The aim of this review was to identify suitable indicators for measuring the impact of nurse staffing and nurse skill mix variations on patient outcomes in stand-alone high acuity areas.

Methods

A systematic review of the literature was undertaken for studies published between January 2000 and November 2016. Suitable indicators were identified based on simple criteria. That is, if there were at least three studies that found a significant relationship between the outcome and staffing variables and at least 50% of all the studies that investigated that outcome reported a significant association, that variable was included in the list of potential outcomes.

Findings

This review identified eight indicators from 44 eligible research articles. These were: mortality, length of stay, central-line-associated bloodstream infection, ventilator-associated pneumonia, sepsis, falls with injury, reintubation, and medication errors.

Discussion

Further work is needed to clarify the definitions for each of the indicators. Standard definitions should be developed using algorithms linked to International Classification of Diseases codes to ensure consistency and comparability across studies. The majority of these outcomes could be measured using administrative patient datasets. Reintubation and medication errors may be difficult to measure with available datasets requiring specialised data collections.

Conclusion

This comprehensive review identified a number of indicators that could be developed for further testing to monitor the quality of nursing care in Intensive Care Units.

DOI

10.1016/j.colegn.2017.10.004

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