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Model proposal for calculating waste associated with processing consigned surgical instruments.

Simone Garcia Lopes1,2, Vanessa de Brito Poveda1

  • 1Universidade de São Paulo, Escola de Enfermagem, São Paulo, SP, Brasil.

Revista Latino-Americana De Enfermagem
|December 6, 2023
PubMed
Summary

This study quantifies waste from unused consigned surgical instruments in orthopedic surgeries, estimating significant financial loss. A new model helps nurses identify and reduce this waste for better resource management.

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Area of Science:

  • Healthcare Management
  • Surgical Services
  • Waste Management in Healthcare

Background:

  • Consigned surgical instruments are frequently used in elective orthopedic procedures.
  • Unused consigned instruments contribute to significant waste in hospital settings.
  • Accurate waste calculation is crucial for resource optimization in surgical departments.

Purpose of the Study:

  • To evaluate waste generated from processing consigned surgical instruments in elective orthopedic surgeries.
  • To develop a model for calculating waste associated with processing these instruments.
  • To provide data for improved resource planning and waste reduction.

Main Methods:

  • A quantitative, descriptive-exploratory case study was conducted in a university hospital.
  • Phase 1: Retrospective analysis of canceled orthopedic surgeries to identify high-demand sub-specializations.
  • Phase 2: Prospective observation of instrument processing and development of a waste calculation model.

Main Results:

  • Hip arthroplasty, spine arthrodesis, and knee arthroplasty showed the highest demand.
  • 854 boxes of consigned surgical instruments were processed but unused.
  • Estimated processing waste amounted to R$34,340.18 (US$6,359.30).

Conclusions:

  • The proposed equation effectively calculates waste from unused consigned surgical instruments in orthopedic procedures.
  • This model empowers nurses with data for better institutional, care, and financial planning.
  • Identifying waste is key to optimizing resource utilization in surgical instrument management.