Is It Possible to Anticipate the Risk of Major Reservation Issued By the CEESP? A Retrospective Analysis of Published Opinions
Author(s)
Duteil E1, Rey L1, Monnier R2, Bizouard G1, Leproust S1
1IQVIA France, La Défense, 75, France, 2IQVIA, Bordeaux, France
OBJECTIVES:
In France, the CEESP assesses the cost-effectiveness of products claiming a moderate to major therapeutic progress. A “major reservation” is issued by CEESP if the economic analysis doesn’t comply with the published methodological guidelines. The aim of this project is to assess which methodological items correlate with a risk of major reservation.METHODS:
We extracted all pertinent variables (n=24) with less than 20% missing data from the base case analysis of 144 Economic Opinions published for new innovative drug between October 2013 and April 2022. A logistic regression, where the dependent variable corresponds to the dichotomic event “major reservation”, was fitted. Variables with a p-value below 0.20 in a univariate regression were included in a stepwise multivariate regression (p < 0.05).RESULTS:
From the 24 variables tested, six were associated with a p-value below 0.20 indicating a possible correlation with a “major reservation” and their inclusion in the stepwise multivariate regression. The variables were the therapeutic area, the context of the submission (1st evaluation, line extension, reassessment), the presence of an external competitors included in the dossier, utility estimation method (direct, indirect, mapping) and the tariff of the utility. Drugs submitted in virology, the presence of an external competitor, an ad-hoc study to estimate the utility and utility estimated in UK tariff were associated with a higher probability of “major reservation”.CONCLUSIONS:
From all the information gathered in the 144 Economic Opinions published, it sems that the anticipation of a “major reservation” based on specific items isn’t straightforward. This result is consistent with the lack of predictability or standardization observed in the conclusions of CEESP opinions. Future work is needed to investigate the causality and identify clear items to predict the risk of “major reservation”.Conference/Value in Health Info
2022-11, ISPOR Europe 2022, Vienna, Austria
Value in Health, Volume 25, Issue 12S (December 2022)
Code
HPR27
Topic
Health Policy & Regulatory, Health Technology Assessment, Methodological & Statistical Research, Study Approaches
Topic Subcategory
Decision & Deliberative Processes, Decision Modeling & Simulation, Insurance Systems & National Health Care
Disease
No Additional Disease & Conditions/Specialized Treatment Areas