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ABSTRACT: Objectives
The aim is to quantitatively evaluate different infection prevention strategies in the context of hospital visitor management during pandemics and to provide a decision support system for strategic and operational decisions based on this evaluation.Methods
A simulation-based cost-effectiveness analysis is applied to the data of a university hospital in Southern Germany and published COVID-19 research. The performance of different hospital visitor management strategies is evaluated by several decision-theoretic methods with varying objective functions.Results
Appropriate visitor restrictions and infection prevention measures can reduce additional infections and costs caused by visitors of healthcare institutions by >90%. The risk of transmission of severe
SUBMITTER: Bartenschlager CC
PROVIDER: S-EPMC9159969 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature