Updated Conversion Table for the Multiple Criteria Qualitative Value-Based Pricing Framework “MARIE”

<b>Background</b>: Value-based pricing has the potential to contribute to the appropriate allocation of healthcare expenditures. We developed the "MARIE", a qualitative scheme that evaluates broad value elements without requiring a comparator to estimate new drug prices. In this study, we updated the conversion table that monetizes points calculated from value elements. <b>Methods</b>: We investigated and calculated the daily drug prices at the time of listing for drugs containing new active ingredients that were included in the National Health Insurance Drug Price List from fiscal year 2015 to 2024, summarizing the data using descriptive statistics. <b>Results</b>: New drug prices are listed annually in Japan, so we updated the conversion table using current drug prices to maintain continuity. This study also observed a trend where the median daily price tended to be higher as the maximum number of patients decreased. <b>Conclusions</b>: The MARIE method, our developed framework to qualitatively evaluate the various values of drugs, monetizing points calculated based on the elements of value via the conversion table, plays a crucial role. Updating the conversion table based on the latest data maintains continuity with the current drug pricing system and is considered to contribute to the social implementation of the MARIE method.

Authors

Institutions

Publication Details

Journal
Journal of Market Access & Health Policy
Published
2026-02-25
DOI
https://doi.org/10.3390/jmahp14010012
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Updated Conversion Table for the Multiple Criteria Qualitative Value-Based Pricing Framework “MARIE”

Akina Takami, Ataru Igarashi
Journal of Market Access & Health Policy
Health Systems, Economic Evaluations, Quality of Life
article

Updated Conversion Table for the Multiple Criteria Qualitative Value-Based Pricing Framework “MARIE”

Akina Takami, Ataru Igarashi
article en

Abstract

<b>Background</b>: Value-based pricing has the potential to contribute to the appropriate allocation of healthcare expenditures. We developed the "MARIE", a qualitative scheme that evaluates broad value elements without requiring a comparator to estimate new drug prices. In this study, we updated the conversion table that monetizes points calculated from value elements. <b>Methods</b>: We investigated and calculated the daily drug prices at the time of listing for drugs containing new active ingredients that were included in the National Health Insurance Drug Price List from fiscal year 2015 to 2024, summarizing the data using descriptive statistics. <b>Results</b>: New drug prices are listed annually in Japan, so we updated the conversion table using current drug prices to maintain continuity. This study also observed a trend where the median daily price tended to be higher as the maximum number of patients decreased. <b>Conclusions</b>: The MARIE method, our developed framework to qualitatively evaluate the various values of drugs, monetizing points calculated based on the elements of value via the conversion table, plays a crucial role. Updating the conversion table based on the latest data maintains continuity with the current drug pricing system and is considered to contribute to the social implementation of the MARIE method.

Journal of Market Access & Health PolicyVol. 14(1)
Department of Health (IE)
Openalex Percentile: Top 47%
Health Systems, Economic Evaluations, Quality of Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.