Cargando…
Model proposal for calculating waste associated with processing consigned surgical instruments
OBJECTIVE: to evaluate the waste generated from processing surgical instruments consigned in elective orthopedic surgeries and propose a model for calculating waste associated with processing consigned surgical instruments. METHOD: a quantitative, descriptive-exploratory case study carried out in a...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695286/ http://dx.doi.org/10.1590/1518-8345.6716.4061 |
Sumario: | OBJECTIVE: to evaluate the waste generated from processing surgical instruments consigned in elective orthopedic surgeries and propose a model for calculating waste associated with processing consigned surgical instruments. METHOD: a quantitative, descriptive-exploratory case study carried out in a large university hospital in two phases: (1) retrospective by consulting administrative records of canceled elective orthopedic surgeries, with provision for the use of consigned materials for identification of the sub-specializations with the greatest demand; and (2) prospective through direct, non-participant observations of processing consigned surgical instruments prepared for the identified surgeries and proposition of a model for calculating waste associated with processing these materials. RESULTS: hip arthroplasty, spine arthrodesis and knee arthroplasty surgeries were identified as presenting the greatest demand, resulting in 854 boxes of consigned surgical instruments processed and unused. Processing waste was estimated at R$34,340.18 (US$6,359.30). CONCLUSION: the proposed equation made it possible to calculate the waste related to the production and non-use of boxes of surgical instruments consigned for orthopedic procedures and can equip nurses for planning based on institutional, care and financial data, aiming to make better use of resources through waste identification. |
---|