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Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy
Our study proposes the use of a proactive system to manage risk combining the new Risk Identification Framework by the World Health Organization, the Lean method, and the hospital’s Procedure Analysis. The system was tested for the prevention of surgical site infections in the University Hospital of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373839/ https://www.ncbi.nlm.nih.gov/pubmed/37366611 http://dx.doi.org/10.1097/PTS.0000000000001141 |
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author | Montella, Emma Iodice, Sabrina Bernardo, Carlo Frangiosa, Alessandro Pascarella, Giacomo Santalucia, Ida Triassi, Maria |
author_facet | Montella, Emma Iodice, Sabrina Bernardo, Carlo Frangiosa, Alessandro Pascarella, Giacomo Santalucia, Ida Triassi, Maria |
author_sort | Montella, Emma |
collection | PubMed |
description | Our study proposes the use of a proactive system to manage risk combining the new Risk Identification Framework by the World Health Organization, the Lean method, and the hospital’s Procedure Analysis. The system was tested for the prevention of surgical site infections in the University Hospital of Naples “Federico II” on the surgical paths, where they were usually applied individually. METHODS: We conducted a retrospective observational study from March 18, 2019, to June 30, 2019, at the University Hospital “Federico II” of Naples, Italy (Europe). The study is structured in 3 phases: phase 1, application of each proactive risk management tool (March 18–April 15, 2019); phase 2, analysis and integration of the results, and elaboration of an overview of critical and control points (April 15–20, 2019); and phase 3, evaluation of the outcomes as variation of surgical site infection’s incidence between the 3-month period of the 2019 and the same period of the 2018, when each tool was implemented separately (April 30–June 30, 2019). RESULTS: (1) The application of the single tool has detected different criticalities; (2) the combined system allowed us to draw a risk map and identify “improving” macroareas; and (3) the infection rate, with the application of this system, was equal to 1.9%; in the same period of the previous year, it was equal to 4%. CONCLUSIONS: Our study demonstrates that “integrated system” has been more effective to proactively identify surgical route risks compared with the application of each single instrument. |
format | Online Article Text |
id | pubmed-10373839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-103738392023-07-28 Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy Montella, Emma Iodice, Sabrina Bernardo, Carlo Frangiosa, Alessandro Pascarella, Giacomo Santalucia, Ida Triassi, Maria J Patient Saf Original Studies Our study proposes the use of a proactive system to manage risk combining the new Risk Identification Framework by the World Health Organization, the Lean method, and the hospital’s Procedure Analysis. The system was tested for the prevention of surgical site infections in the University Hospital of Naples “Federico II” on the surgical paths, where they were usually applied individually. METHODS: We conducted a retrospective observational study from March 18, 2019, to June 30, 2019, at the University Hospital “Federico II” of Naples, Italy (Europe). The study is structured in 3 phases: phase 1, application of each proactive risk management tool (March 18–April 15, 2019); phase 2, analysis and integration of the results, and elaboration of an overview of critical and control points (April 15–20, 2019); and phase 3, evaluation of the outcomes as variation of surgical site infection’s incidence between the 3-month period of the 2019 and the same period of the 2018, when each tool was implemented separately (April 30–June 30, 2019). RESULTS: (1) The application of the single tool has detected different criticalities; (2) the combined system allowed us to draw a risk map and identify “improving” macroareas; and (3) the infection rate, with the application of this system, was equal to 1.9%; in the same period of the previous year, it was equal to 4%. CONCLUSIONS: Our study demonstrates that “integrated system” has been more effective to proactively identify surgical route risks compared with the application of each single instrument. Lippincott Williams & Wilkins 2023-08 2023-06-20 /pmc/articles/PMC10373839/ /pubmed/37366611 http://dx.doi.org/10.1097/PTS.0000000000001141 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Studies Montella, Emma Iodice, Sabrina Bernardo, Carlo Frangiosa, Alessandro Pascarella, Giacomo Santalucia, Ida Triassi, Maria Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy |
title | Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy |
title_full | Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy |
title_fullStr | Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy |
title_full_unstemmed | Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy |
title_short | Integrated System for the Proactive Analysis on Infection Risk at a University Health Care Establishment Servicing a Large Area in the South of Italy |
title_sort | integrated system for the proactive analysis on infection risk at a university health care establishment servicing a large area in the south of italy |
topic | Original Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373839/ https://www.ncbi.nlm.nih.gov/pubmed/37366611 http://dx.doi.org/10.1097/PTS.0000000000001141 |
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