Pharmacoeconomic study of anti-influenza virus drugs in Japan based on a network meta-analysis.

BACKGROUND

An analysis was conducted in Japan to determine the most cost-effective neuraminidase inhibitor for the treatment of influenza virus infections from the healthcare payer's standpoint.

OBJECTIVE

This study reanalysed the findings of a previous study that had some limitations (no probabilistic sensitivity analysis and quality of life scores measured by the EQ-5D-3L instead of the EQ-5D-5L) and used a decision tree model with only three health conditions.

METHODS

This study incorporated new data from a network meta-analysis study into the first examination. The second examination involved constructing a new decision tree model encompassing seven health conditions and identifying costs, which consisted of medical costs and drug prices based on the 2020 version of the Japanese medical fee index. Effectiveness outcomes were measured using EQ-5D-5L questionnaires for adult patients with a history of influenza virus infections within a 14-day time horizon. Deterministic and probabilistic sensitivity analyses were performed to examine the uncertainty.

RESULTS

In the first examination, the base-case cost-effectiveness analysis confirmed that oseltamivir outperformed laninamivir, zanamivir and peramivir, making it the most cost-effective neuraminidase inhibitor. The second examination revealed that oseltamivir dominated the other agents. Both deterministic and probabilistic sensitivity analyses showed robust results that validated oseltamivir as the most cost effective among the four neuraminidase inhibitors.

CONCLUSIONS

This study thus reaffirms oseltamivir's position as the most cost-effective neuraminidase inhibitor for the treatment of influenza virus infections in Japan from the perspective of healthcare payment. These findings can help decision makers and healthcare providers in Japan.