Alchikh, Maren and Conrad, T. O. F. and Obermeier, Patrick E. and Ma, Xiaolin and Schweiger, Brunhilde and Opota, Onya and Rath, Barbara A. (2024) Disease Burden and Inpatient Management of Children with Acute Respiratory Viral Infections during the Pre-COVID Era in Germany: A Cost-of-Illness Study. Viruses, 16 (4).
Full text not available from this repository.
Official URL: https://www.mdpi.com/1999-4915/16/4/507
Abstract
Respiratory viral infections (RVIs) are common reasons for healthcare consultations. The inpatient management of RVIs consumes significant resources. From 2009 to 2014, we assessed the costs of RVI management in 4776 hospitalized children aged 0–18 years participating in a quality improvement program, where all ILI patients underwent virologic testing at the National Reference Centre followed by detailed recording of their clinical course. The direct (medical or non-medical) and indirect costs of inpatient management outside the ICU (‘non-ICU’) versus management requiring ICU care (‘ICU’) added up to EUR 2767.14 (non-ICU) vs. EUR 29,941.71 (ICU) for influenza, EUR 2713.14 (non-ICU) vs. EUR 16,951.06 (ICU) for RSV infections, and EUR 2767.33 (non-ICU) vs. EUR 14,394.02 (ICU) for human rhinovirus (hRV) infections, respectively. Non-ICU inpatient costs were similar for all eight RVIs studied: influenza, RSV, hRV, adenovirus (hAdV), metapneumovirus (hMPV), parainfluenza virus (hPIV), bocavirus (hBoV), and seasonal coronavirus (hCoV) infections. ICU costs for influenza, however, exceeded all other RVIs. At the time of the study, influenza was the only RVI with antiviral treatment options available for children, but only 9.8 of influenza patients (non-ICU) and 1.5 of ICU patients with influenza received antivirals; only 2.9 were vaccinated. Future studies should investigate the economic impact of treatment and prevention of influenza, COVID-19, and RSV post vaccine introduction.
Item Type: | Article |
---|---|
Subjects: | Medicine and Dentistry > Clinical Medicine Mathematical and Computer Sciences > Mathematics > Applied Mathematics Mathematical and Computer Sciences > Mathematics > Mathematical Modelling Mathematical and Computer Sciences > Statistics > Applied Statistics > Medical Statistics |
Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics Department of Mathematics and Computer Science > Institute of Mathematics > Comp. Proteomics Group |
ID Code: | 3132 |
Deposited By: | Admin Administrator |
Deposited On: | 26 Mar 2024 09:16 |
Last Modified: | 26 Mar 2024 09:16 |
Repository Staff Only: item control page