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Use of the nursing intervention classification for identifying the workload of a nursing team in a surgical center. | LitMetric

AI Article Synopsis

  • The study aimed to analyze nursing workloads during the transoperative period in an oncology surgical center using the Nursing Intervention Classification (NIC).
  • It involved 54 nursing staff members across various roles and identified 266 activities that were categorized into 49 nursing interventions, demonstrating a high level of productivity at 95.34%.
  • Key findings indicated that the most significant domains were Physiological-Complex and Health System, with Surgical Care being the most frequent intervention, highlighting the importance of structured workload analysis in optimizing nursing staffing levels.

Article Abstract

Objective: 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.

Methods: 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.

Results: 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%.

Conclusions: 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660398PMC
http://dx.doi.org/10.1590/0104-1169.0419.2615DOI Listing

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