A pharmacoeconomic study of post-exposure prophylaxis strategies for influenza virus infections in Japan
Data files
Aug 20, 2024 version files 13.76 KB
Abstract
Background Vaccines can prevent influenza (flu) infections and are cost-effective for society and healthcare. However, the cost-effectiveness of post-exposure prophylaxis as a follow-up strategy is unclear. This study evaluates the cost–utility of post-exposure prophylaxis and treatment strategies with neuraminidase inhibitors (NIs) and a cap-dependent endonuclease inhibitor (EI) for flu infections from the perspective of healthcare costs in Japan.
Research design and methods A base-case analysis was used to compare oseltamivir, zanamivir, and laninamivir for Nls and baloxavir marboxil for EI. The costs of the first visit to a physician and pharmacy were excluded because of out-of-pocket for post-exposure prophylaxis in Japan. Direct medical costs included the second physician visit, pharmacy and hospital admission expenses, and drug prices, based on the 2020 Japanese Medical Fee Index. EQ-5D-5L questionnaires were utilized to measure healthy participants’ quality of life scores, with a time horizon of 14 days. Deterministic and probabilistic sensitivity analyses were conducted.
Results We find baloxavir marboxil as the post-exposure prophylaxis agent and laninamivir as the treatment agent to be the most cost-effective strategy in Japan, followed by oseltamivir as the post-exposure prophylaxis agent and zanamivir as the treatment agent.
Conclusions The study concludes that baloxavir marboxil and oseltamivir are cost-effective prophylactic agents for flu from the perspective of healthcare costs in Japan. The strategy of baloxavir marboxil as the post-exposure prophylaxis agent and laninamivir as the treatment agent is the most cost-effective in Japan.
README: A pharmacoeconomic study of post-exposure prophylaxis strategies for influenza virus infections in Japan
https://doi.org/10.5061/dryad.tqjq2bw47
Author(s)
Naoto Nakagawa, Phar.D., Ph.D.
School of Pharmaceutical Sciences, Ohu University, Koriyama, Fukushima, Japan
31-1 Misumido, Tomita-machi, Koriyama, Fukushima 963-8611, Japan
Email: n-nakagawa@pha.ohu-u.ac.jp
Runa Ono
31-1 Misumido, Tomita-cho, Koriyama, Fukushima, 963-8611, Japan
Phone: +81-24-932-9135, Email: 718028@ohu-u.jp
Odanaka, Ph.D.
31-1 Misumido, Tomita-cho, Koriyama, Fukushima, 963-8611, Japan
Phone: +81-24-932-9135, Email: k-odanaka@pha.ohu-u.ac.jp
Hiroshi Ohara, Ph.D.
31-1 Misumido, Tomita-cho, Koriyama, Fukushima, 963-8611, Japan
Phone: +81-24-932-9135, Email: h-ohara@pha.ohu-u.ac.jp
Shigeki Kisara, Ph.D.
31-1 Misumido, Tomita-cho, Koriyama, Fukushima, 963-8611, Japan
Phone: +81-24-932-9135, Email: s-kisara@pha.ohu-u.ac.jp
Kitae Ito, Ph.D.
31-1 Misumido, Tomita-cho, Koriyama, Fukushima, 963-8611, Japan
Phone: +81-24-932-9135, Email: k-ito@pha.ohu-u.ac.jp
File list
CEA_input_data_bellow_BW_80_kg.csv
CEA_input_data_over_BW_80_kg.csv
CEA_PSA_data_bellow_BW_80_kg.csv
CEA_PSA_data_over_BW_80_kg.csv
File descriptions
Details for: CEA_input_data_bellow_BW_80_kg.csv, (CEA, cost-effectiveness analysis; BW, body weight)
The file is a table to analyze for input with TreeAge Pro.
Format(s): .csv
Dimensions: 35 rows x 5 columns
Variables:
*Name: c_XXX means cost variables (unit, JPY; continuous variables), p_XXX means probability variables (continuous variables), and u_XXX means utility variables (continuous variables).
*Description: definition of each variable.
*Root Definition: individual variables for a base-case scenario.
*Low and High columns: the low and the high numbers for one-way sensitivity analysis.
Details for: CEA_input_data_over_BW_80_kg.csv, (CEA, cost-effectiveness analysis; BW, body weight)
The file is a table to analyze for input with TreeAge Pro.
Format(s): .csv
Dimensions: 35 rows x 5 columns
Variables:
*Name: c_XXX means cost variables (unit, JPY; continuous variables), p_XXX means probability variables (continuous variables), and u_XXX means utility variables (continuous variables).
*Description: definition of each variable.
*Root Definition: individual variables for a base-case scenario.
*Low and High columns: the low and the high numbers for one-way sensitivity analysis.
Details for: CEA_PSA_data_bellow_BW_80_kg.csv, (CEA, cost-effectiveness analysis; PSA, probabilistic sensitivity analysis; BW, body weight)
The file is a table to analyze for input with TreeAge Pro.
Format(s): .csv
Dimensions: 23 rows x 5 columns
Variables:
*Type: distributions,
*Name: d_XXX means distributional name of each parameter
*Description: definition of each variable.
*Param 1: individual variables for a parameter 1
*Param 2: individual variables for a parameter 2
*Help/Explanation: Explanation of Param 1 and Param 2
Details for: CEA_PSA_data_over_BW_80_kg.csv (CEA, cost-effectiveness analysis; PSA, probabilistic sensitivity analysis; BW, body weight)
The file is a table to analyze for input with TreeAge Pro.
Format(s): .csv
Dimensions: 23 rows x 5 columns
Variables:
*Type: distributions,
*Name: d_XXX means distributional name of each parameter
*Description: definition of each variable.
*Param 1: individual variables for a parameter 1
*Param 2: individual variables for a parameter 2
*Help/Explanation: Explanation of Param 1 and Param 2