Proposal of a decision tree for the classification of road transport in biocontainment regimen using an isolator
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
##plugins.generic.dates.accepted##: 28 giugno 2025
Autori
Introduction: ground biocontainment transport is essential for managing highly transmissible diseases, yet standardized decision-making tools for road-based transfers are lacking in civilian literature. This study aimed to develop an operational model to support clinical and logistical decisions during such transports.
Materials and Methods: a decision tree was developed through retrospective analysis of 1.994 biocontainment transfers performed in Sicily between December 2020 and March 2022. Key variables included patient condition, use of life-support equipment, and transfer characteristics. The model was refined through structured post-mission briefings and categorized transfers into three complexity levels (C1–C3) based on clinical and logistical criteria.
Results: patients were stratified by walking ability, need for monitoring or life support, and infectious risk. A total of 590 high-complexity transfers used isolators, while 1.403 lower-complexity cases were managed with a biocontainment minibus. No critical equipment failures were recorded. The decision tree supported consistent planning and improved safety.
Discussion: Comparison with literature-based recommendations confirmed the model’s validity and highlighted operational issues such as miscommunication and equipment integration. Integration with NEWS2 is proposed to enhance risk stratification.
Conclusions: the proposed decision tree provides a reproducible framework for classifying biocontainment transport complexity. Prospective validation is needed to support its application in broader healthcare contexts.
Come citare

Questo volume è pubblicato con la licenza Creative Commons Attribuzione - Non commerciale 4.0 Internazionale.