Nursing intensity and costs of nurse staffing demonstrated by the RAFAELA system: liver vs. kidney transplant recipients

Aim To compare nursing intensity and nurse staffing costs for liver transplant (LTx) vs. kidney transplant (KTx) patients through the use of the RAFAELA system (the OPCq instrument). Background High‐quality patient care correlates with the correct allocation of nursing staff. Valid systems for obtai...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of nursing management 2016-09, Vol.24 (6), p.798-805
Hauptverfasser: Andersen, Marit Helen, Lønning, Kjersti, Bjørnelv, Gudrun Maria Waaler, Fagerström, Lisbeth
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Aim To compare nursing intensity and nurse staffing costs for liver transplant (LTx) vs. kidney transplant (KTx) patients through the use of the RAFAELA system (the OPCq instrument). Background High‐quality patient care correlates with the correct allocation of nursing staff. Valid systems for obtaining data on nursing intensity, in relation to actual patient care needs, are needed to ensure correct staffing. Methods A prospective, comparative study of 85 liver and 85 kidney transplant patients. Nursing intensity was calculated using the Oulu Patient Classification (OPCq) instrument. The cost per nursing intensity point was calculated by dividing annual total nursing wage costs with annual total nursing intensity points. Results The results showed significantly higher nursing intensity per day for liver transplant patients compared to kidney transplant patients. The length of stay was the most important variable in relation to nursing intensity points per day. Conclusions The study demonstrated differences in nursing intensity and nurse staffing costs between the two patient groups. Implications for Nursing Management When defending nurse staffing decisions, it is essential that nurse managers have evidence‐based knowledge of nursing intensity and nurse staffing costs.
ISSN:0966-0429
1365-2834
DOI:10.1111/jonm.12384