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A Model of the Costs of Community and Nosocomial Pediatric Respiratory Syncytial Virus Infections in Canadian Hospitals
Philip Jacobs
Douglas Lier
Katherine Gooch
Katharina Buesch
Michelle Lorimer
Ian Mitchell
Canadian Journal of Infectious Diseases & Medical Microbiology, 24(1), pp 22-26, 2013
Summary
<jats:p>BACKGROUND: Approximately one in 10 hospitalized patients will acquire a nosocomial infection (NI) after admission to hospital, of which 71% are due to respiratory viruses, including the respiratory syncytial virus (RSV). NIs are concerning and lead to prolonged hospitalizations. The economics of NIs are typically described in generalized terms and specific cost data are lacking.</jats:p><jats:p>OBJECTIVE: To develop an evidence-based model for predicting the risk and cost of nosocomial RSV infection in pediatric settings.</jats:p><jats:p>METHODS: A model was developed, from a Canadian perspective, to capture all costs related to an RSV infection hospitalization, including the risk and cost of an NI, diagnostic testing and infection control. All data inputs were derived from published literature. Deterministic sensitivity analyses were performed to evaluate the uncertainty associated with the estimates and to explore the impact of changes to key variables. A probabilistic sensitivity analysis was performed to estimate a confidence interval for the overall cost estimate.</jats:p><jats:p>RESULTS: The estimated cost of nosocomial RSV infection adds approximately 30.5% to the hospitalization costs for the treatment of community-acquired severe RSV infection. The net benefits of the prevention activities were estimated to be equivalent to 9% of the total RSV-related costs. Changes in the estimated hospital infection transmission rates did not have a significant impact on the base-case estimate.</jats:p><jats:p>CONCLUSIONS: The risk and cost of nosocomial RSV infection contributes to the overall burden of RSV. The present model, which was developed to estimate this burden, can be adapted to other countries with different disease epidemiology, costs and hospital infection transmission rates.</jats:p>
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