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Use of the nursing intervention classification for identifying the workload of a nursing team in a surgical center1

Overview of attention for article published in Revista Latino-Americana de Enfermagem, January 2015
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Title
Use of the nursing intervention classification for identifying the workload of a nursing team in a surgical center1
Published in
Revista Latino-Americana de Enfermagem, January 2015
DOI 10.1590/0104-1169.0419.2615
Pubmed ID
Authors

João Francisco Possari, Raquel Rapone Gaidzinski, Antônio Fernandes Costa Lima, Fernanda Maria Togeiro Fugulin, Tracy Heather Herdman

Abstract

to analyze the distribution of nursing professionals' workloads, according to the Nursing Intervention Classification (NIC), during the transoperative period at a surgical center specializing in oncology. this was an observational and descriptive cross-sectional study. The sample consisted of 11 nurses, 25 nursing technicians who performed a variety of roles within the operating room, 16 nursing technicians who worked with the surgical instrumentation and two nursing technicians from patient reception who worked in the surgical center during the transoperative period. An instrument was developed to collect data and the interventions were validated according to NIC taxonomy. a total of 266 activities were identified and mapped into 49 nursing interventions, seven domains and 20 classes of the NIC. The most representative domains were Physiological-Complex (61.68%) and Health System (22.12%), while the most frequent interventions were Surgical Care (30.62%) and Documentation (11.47%), respectively. The productivity of the nursing team reached 95.34%. use of the Nursing Intervention Classification contributes towards the discussion regarding adequate, professional nursing staffing levels, because it shows the distribution of the work load.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Student > Bachelor 10 13%
Other 8 11%
Student > Ph. D. Student 6 8%
Student > Postgraduate 5 7%
Other 15 20%
Unknown 19 25%
Readers by discipline Count As %
Nursing and Health Professions 32 43%
Medicine and Dentistry 9 12%
Social Sciences 3 4%
Business, Management and Accounting 2 3%
Agricultural and Biological Sciences 1 1%
Other 6 8%
Unknown 22 29%