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J Neurosci Nurs ; 49(3): 169-173, 2017 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-28471925

RESUMO

The neuroscience intermediate unit is a 23-bed unit that was initially staffed with a nurse-to-patient ratio of 1:4 to 1:5. In time, the unit's capacity to care for the exceeding number of progressively acute patients fell short of the desired goals in the staff affecting the nurse satisfaction. The clinical nurses desired a lower nurse-patient ratio. The purpose of this project was to justify a staffing increase through a return on investment and increased quality metrics. METHODS: This initiative used mixed methodology to determine the ideal staffing for a neuroscience intermediate unit. The quantitative section focused on a review of the acuity of the patients. The qualitative section was based on descriptive interviews with University Healthcare Consortium nurse managers from similar units. DESIGN: The study reviewed the acuity of 9,832 patient days to determine the accurate acuity of neuroscience intermediate unit patients. Nurse managers at 12 University Healthcare Consortium hospitals and 8 units at the Medical University of South Carolina were contacted to compare staffing levels. DISCUSSION: The increase in nurse staffing contributed to an increase in many quality metrics. There were an 80% decrease in controllable nurse turnover and a 75% reduction in falls with injury after the lowered nurse-patient ratio. These 2 metrics established a return on investment for the staffing increase. In addition, the staffing satisfaction question on the Press Ganey employee engagement survey increased from 2.44 in 2013 to 3.72 in 2015 in response to the advocacy of the bedside nurses.


Assuntos
Enfermagem em Neurociência/normas , Neurociências , Recursos Humanos de Enfermagem Hospitalar/normas , Admissão e Escalonamento de Pessoal/organização & administração , Competência Clínica , Hospitais Universitários , Satisfação no Emprego , Enfermagem em Neurociência/economia , Enfermeiros Especialistas , Recursos Humanos de Enfermagem Hospitalar/economia , Qualidade da Assistência à Saúde , Índice de Gravidade de Doença , South Carolina
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