Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms

Background: Seasonal influenza causes significant morbidity worldwide and has a substantial economic impact on the healthcare system. Objective: To assess the cost−benefit relation of implementing a real-time influenza test in emergency rooms (ER) of German hospitals. Methods: A determinis...

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Main Authors: Roland Diel, Albert Nienhaus
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
PCR
Online Access:https://www.mdpi.com/1660-4601/16/13/2368
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spelling doaj-6ab5bd0f7c904ef2aa7fc23b723e19e52020-11-25T00:22:24ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-07-011613236810.3390/ijerph16132368ijerph16132368Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency RoomsRoland Diel0Albert Nienhaus1Institute for Epidemiology, University Medical Hospital Schleswig-Holstein, Kiel, Airway Research Center North (ARCN), 24015 Kiel, GermanyInstitution for Statutory Accident Insurance and Prevention in the Health and Welfare Services (BGW), 22089 Hamburg, GermanyBackground: Seasonal influenza causes significant morbidity worldwide and has a substantial economic impact on the healthcare system. Objective: To assess the cost&#8722;benefit relation of implementing a real-time influenza test in emergency rooms (ER) of German hospitals. Methods: A deterministic decision-analytic model was developed simulating the incremental costs of using the Solana<sup>&#174;</sup> Influenza A+B test, compared to those of using conventional clinical judgement alone to confirm or exclude influenza in adult ILI (influenza-like illness) patients, in German ER, prior to hospitalization. Direct costs were evaluated from the hospital perspective, considering resource use directly related to influenza testing and treatment, as well as indirect costs incurred by nosocomial influenza transmission. Results: Through base-case analysis and assuming an influenza prevalence of 42.6%, real-time testing with Solana<sup>&#174;</sup> reduced average costs of hospitalized ILI patients by &#8364;132.61, per tested patient. Moreover, the Solana<sup>&#174;</sup> saved &#8364;6.9 per tested patient in favor of the hospital. In probabilistic sensitivity analysis, under all reasonable assumptions, implementing the Solana<sup>&#174;</sup> saved on average &#8364;144.13 as compared to applying the clinical-judgement-only strategy, thus, it was found to be constantly less expensive. Conclusions: Using highly sensitive and specific real-time influenza tests in ILI patients at German ER might significantly reduce hospital expenditureshttps://www.mdpi.com/1660-4601/16/13/2368cost–benefit analysissensitivity analysisPCRreal-time testinginfluenza
collection DOAJ
language English
format Article
sources DOAJ
author Roland Diel
Albert Nienhaus
spellingShingle Roland Diel
Albert Nienhaus
Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms
International Journal of Environmental Research and Public Health
cost–benefit analysis
sensitivity analysis
PCR
real-time testing
influenza
author_facet Roland Diel
Albert Nienhaus
author_sort Roland Diel
title Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms
title_short Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms
title_full Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms
title_fullStr Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms
title_full_unstemmed Cost–Benefit Analysis of Real-Time Influenza Testing for Patients in German Emergency Rooms
title_sort cost–benefit analysis of real-time influenza testing for patients in german emergency rooms
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2019-07-01
description Background: Seasonal influenza causes significant morbidity worldwide and has a substantial economic impact on the healthcare system. Objective: To assess the cost&#8722;benefit relation of implementing a real-time influenza test in emergency rooms (ER) of German hospitals. Methods: A deterministic decision-analytic model was developed simulating the incremental costs of using the Solana<sup>&#174;</sup> Influenza A+B test, compared to those of using conventional clinical judgement alone to confirm or exclude influenza in adult ILI (influenza-like illness) patients, in German ER, prior to hospitalization. Direct costs were evaluated from the hospital perspective, considering resource use directly related to influenza testing and treatment, as well as indirect costs incurred by nosocomial influenza transmission. Results: Through base-case analysis and assuming an influenza prevalence of 42.6%, real-time testing with Solana<sup>&#174;</sup> reduced average costs of hospitalized ILI patients by &#8364;132.61, per tested patient. Moreover, the Solana<sup>&#174;</sup> saved &#8364;6.9 per tested patient in favor of the hospital. In probabilistic sensitivity analysis, under all reasonable assumptions, implementing the Solana<sup>&#174;</sup> saved on average &#8364;144.13 as compared to applying the clinical-judgement-only strategy, thus, it was found to be constantly less expensive. Conclusions: Using highly sensitive and specific real-time influenza tests in ILI patients at German ER might significantly reduce hospital expenditures
topic cost–benefit analysis
sensitivity analysis
PCR
real-time testing
influenza
url https://www.mdpi.com/1660-4601/16/13/2368
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