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Identifying nurse-sensitive indicators for stand-alone high acuity areas: A systematic review
Journal article   Peer reviewed

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

H. Myers, J.D. Pugh and D.E. Twigg
Collegian, Vol.25(4), pp.447-456
2017
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Abstract

Background: Nurse-sensitive patient outcomes that are suitable for general medical and surgical settings are well developed. Indicators developed for general ward settings may not be suitable for stand-alone high acuity areas; therefore, a different set of indicators is required. 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.

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Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.14 Nursing
1.14.265 Nursing Education
Web Of Science research areas
Nursing
ESI research areas
Clinical Medicine
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