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[The implementation of NEMS and NAS systems to assess the nursing staffing levels in a polyvalent intensive care unit].

AbstractUNLABELLED:
NEMS and NAS scoring systems allow to calculate the number of nurses needed in an intensive care unit. Aim of the study is the assessment of nursing workload in a polyvalent intensive care unit, the evaluation of easiness of routine use of the systems and the assessment of the number of nurses needed.
METHOD:
The NEMS and NAS scores of 752 patients admitted respectively from may 2004 and July 2006 and of 250 patients admitted from August 2006 to July 2007 were analysed and adjusted to the number of inpatients.
RESULT:
Mean NEMS score were 32.05 (+/- 2.11) and mean NAS scores 76.17 (+/- 14.66) and minutes of care needed per day 1009 according to NEMS and 1096 according to NAS. Medical patients have an higher workload compared to surgical (NAS Score 84.2 +/- 16.4 vs 79.0 +/- 12.4, p = 0.0047). The workload is influenced by the main illness (extracorporeal circulation: 102.26 +/- 5.70, shock. 88.00 +/- 1 7.48, cardio-circulatory arrest out of the ward: 81.95 +/- 15.46, ARDS 86.62 +/- 14.10) and by the day of admission, being higher at admission.
CONCLUSIONS:
The routine assessment of patients' workload allows to measure the gap between nurses needed and available, to monitor patients with higher workload and to quantify the need of nursing care according to patients case-mix.
AuthorsAlberto Lucchini, Valeria Chinello, Veronica Lollo, Cristian De Filippis, Michela Schena, Stefano Elli, Maurizio Sasso, Giulia Pelucchi, Laura Poloniato, Maria Martino, Angelo Costanzo, Simona Vimercati
JournalAssistenza infermieristica e ricerca : AIR (Assist Inferm Ric) 2008 Jan-Mar Vol. 27 Issue 1 Pg. 18-26 ISSN: 1592-5986 [Print] Italy
Vernacular TitleUtilizzo dei sistemi di rilevazione NEMS (Nine Equivalent of Manpower Score) e NAS (Nursing Activities Scores) per determinare il fabbisogno infermieristico in una terapia intensiva polivalente.
PMID18757003 (Publication Type: Comparative Study, Evaluation Study, Journal Article)
Topics
  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Humans
  • Infant
  • Infant, Newborn
  • Intensive Care Units
  • Italy
  • Length of Stay
  • Middle Aged
  • Nursing (statistics & numerical data)
  • Nursing Staff, Hospital (statistics & numerical data)
  • Seasons
  • Time Factors
  • Workforce
  • Workload (statistics & numerical data)

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