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Exploring Uncertainty in Economic Evaluations of Drugs and Medical Devices: Lessons from the First Review of Manufacturers' Submissions to the French National Authority for Health.

Authors :
Ghabri, Salah
Hamers, Françoise
Josselin, Jean
Hamers, Françoise F
Josselin, Jean Michel
Source :
PharmacoEconomics. Jun2016, Vol. 34 Issue 6, p617-624. 8p.
Publication Year :
2016

Abstract

<bold>Objectives: </bold>The objective of this paper was to evaluate how uncertainty has been accounted for in the cost-effectiveness analyses (CEAs) submitted by manufacturers to the French National Authority for Health (HAS) and to identify recurring concerns in these submissions.<bold>Methods: </bold>We used a cross-sectional design to evaluate manufacturers' submissions from the beginning of the evaluation process in October 2013 to the end of May 2015 (n = 28). The sources of uncertainty attached to these CEAs were categorized and assessed. Relevant data were extracted independently by two assessors.<bold>Results: </bold>Adherence to the HAS reference case was generally considered to be acceptable. Methodological uncertainty and parameter uncertainty were the sources of uncertainty that were most frequently explored by manufacturers. The quality of reporting of deterministic sensitivity analysis and probabilistic sensitivity analysis varied substantially across submissions, with a frequent lack of justification of the plausible range of parameter point estimates in 12 submissions (43 %). Structural uncertainty was explored much less frequently. Concerns related to omission of either important clinical events or relevant health states or extrapolation of the effects of the technology beyond the time horizon of the clinical trials were identified in 16 submissions (57 %).<bold>Conclusions: </bold>This study presented a characterization of the treatment of uncertainty for the first 28 manufacturers' submissions to the HAS. This work identified important concerns regarding the exploration of sources of uncertainty. The findings may help manufacturers to improve the quality of their submissions and may provide useful insights for extending guidelines on uncertainty analysis in CEAs submitted to the HAS. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11707690
Volume :
34
Issue :
6
Database :
Academic Search Index
Journal :
PharmacoEconomics
Publication Type :
Academic Journal
Accession number :
117355236
Full Text :
https://doi.org/10.1007/s40273-016-0381-4