| Literature DB >> 28804600 |
Mondher Toumi1, Anastasiia Motrunich2, Aurélie Millier2, Cécile Rémuzat2, Christos Chouaid3,4, Bruno Falissard5, Samuel Aballéa1,2.
Abstract
Background: Despite the guidelines for Economic and Public Health Assessment Committee (CEESP) submission having been available for nearly six years, the dossiers submitted continue to deviate from them, potentially impacting product prices. Objective: to review the reports published by CEESP, analyse deviations from the guidelines, and discuss their implications for the pricing and reimbursement process. Study design: CEESP reports published until January 2017 were reviewed, and deviations from the guidelines were extracted. The frequency of deviations was described by type of methodological concern (minor, important or major).Entities:
Keywords: CEESP; HAS; HAS guidelines; HTA; Health technology assessment; efficiency opinion; health economics analysis; pricing
Year: 2017 PMID: 28804600 PMCID: PMC5533125 DOI: 10.1080/20016689.2017.1344088
Source DB: PubMed Journal: J Mark Access Health Policy ISSN: 2001-6689
Figure 1.Overview of the bodies involved in the pricing and reimbursement process in France.
Description of the two-level classification of methodological concerns from the HAS guidelines.
| Level 1 | Level 2 |
|---|---|
| Structural choices | Economic analysis and choice of outcome criterion |
| Time horizon | |
| Comparison of strategies | |
| Perspective | |
| Measurement and valuation of health states and costs | Costs Measurement and calculation Cost type Valuation |
Health states Measurement (methods and data) Valuation | |
| Modelling | Transition estimates Data extrapolation Estimation method Reporting Efficacy data source |
| Modelled population | |
| Model structure | |
| Programming errors | |
| Study objective | – |
| Results presentation and sensitivity analyses | Sensitivity analyses Deterministic/probabilistic Scenario |
| Presentation | |
| Validity (internal and external) and study limitations |
Methodological concerns expressed in CEESP reports.
| Brand name | INN | CEESP report publication date | Total methodological concerns | Minor methodological concerns | Important methodological concerns | Major methodological concerns | Major overall methodological concerns |
|---|---|---|---|---|---|---|---|
| Adempas® | Riociguat | 14/10/2014 | 14 | 6 | 4 | 4 | |
| Botox® | Botulinum toxin | 25/11/2014 | 10 | 8 | 2 | 0 | |
| Daklinza® | Daclatasvir | 03/02/2015 | 12 | 4 | 8 | 0 | |
| Defitelio® | Defibrotide | 18/02/2014 | 14 | 2 | 10 | 2 | |
| Entyvio® | Vedolizumab | 25/11/2014 | 11 | 7 | 4 | 0 | |
| Harvoni® | Ledipasvir /sofosbuvir | 26/05/2015 | 11 | 3 | 7 | 1 | |
| Kadcyla® | Trastuzumab emtansine | 11/03/2014 | 2 | 2 | 0 | 0 | |
| Nexplanon® | Etonogestrel | 15/09/2015 | 9 | 9 | 0 | 0 | |
| Nplate® | Romiplostim | 03/02/2015 | 6 | 1 | 5 | 0 | |
| Olysio® | Simeprevir | 14/10/2014 | 17 | 12 | 4 | 1 | |
| Rotarix® | Rotavirus | 22/07/2014 | 16 | 11 | 5 | 0 | |
| Rotateq® | Rotavirus | 16/09/2014 | 15 | 10 | 5 | 0 | |
| Sovaldi® | sofosbuvir | 15/04/2014 | 17 | 8 | 8 | 1 | |
| Tecfidera® | dimethyl fumarate | 24/06/2014 | 23 | 20 | 3 | 0 | |
| Tivicay® | Dolutegravir | 27/05/2014 | 11 | 10 | 1 | 0 | |
| Viekirax® /Exviera® | Ombitasvir/ | 09/06/2015 | 11 | 5 | 5 | 1 | |
| Xolair® | Omalizumab | 25/11/2014 | 16 | 9 | 7 | 0 | |
| Xtandi® | enzalutamide | 09/06/2015 | 12 | 9 | 2 | 1 | |
| Zostavax® | Zoster vaccine | 15/04/2014 | 16 | 15 | 1 | 0 |
The number of methodological concerns by level.
| Type of methodological concern | Type of methodological concern | ||||||||
| Level 1 | Major | Important | Minor | Total level 1 | Level 2 | Major | Important | Minor | Total level 2 |
| Structural choices | 1 (4%)(9%)* | 12 (46%)(15%)* | 13 (50%)(9%)* | 26 (11%) | Economic analysis and choice of outcome criterion | 1 (50%) | 0 (0%) | 1 (50%) | 2 (8%) |
| Time horizon | 0 (0%) | 1 (50%) | 1 (50%) | 2 (8%) | |||||
| Comparison of strategies | 0 (0%) | 11 (52%) | 10 (48%) | 21 (81%) | |||||
| Perspective | 0 (0%) | 0 (0%) | 1 (100%) | 1 (4%) | |||||
| Measurement and valuation of health states and costs | 1 (1%)(9%)* | 16 (21%) | 58 (77%) | 75 (31%) | Costs | 0 (0%) | 6 (14%) | 36 (86%) | 42 (56%) |
| (20%)* | (38%)* | · Measure and calculation | 0 (0%) | 3 (14%) | 19 (86%) | 22 (52%) | |||
| · Cost type | 0 (0%) | 1 (20%) | 4 (80%) | 5 (12%) | |||||
| · Valuation | 0 (0%) | 2 (13%) | 13 (87%) | 15 (36%) | |||||
| Health states | 1 (3%) | 10 (30%) | 22 (67%) | 33 (44%) | |||||
| · Measure (methods and data) | 1 (4%) | 10 (37%) | 16 (59%) | 27 (82%) | |||||
| · Valuation | 0 (0%) | 0 (0%) | 6 (100%) | 6 (18%) | |||||
| Modelling | 3 (4%)(27%)* | 27 (34%) | 49 (62%) | 79 (33%) | Transition estimates | 1 (3%) | 9 (26%) | 24 (71%) | 34 (43%) |
| (34%)* | (32%)* | · Data extrapolation | 0 (0%) | 4 (67%) | 2 (33%) | 6 (18%) | |||
| · Estimation method | 1 (8%) | 0 (0%) | 12 (92%) | 13 (38%) | |||||
| · Reporting | 0 (0%) | 0 (0%) | 5 (100%) | 5 (15%) | |||||
| · Efficacy data source | 0 (0%) | 5 (50%) | 5 (50%) | 10 (29%) | |||||
| Modelled population | 2 (20%) | 2 (20%) | 6 (60%) | 10 (13%) | |||||
| Model structure | 0 (0%) | 13 (48%) | 14 (52%) | 31 (39%) | |||||
| Programming errors | 0 (0%) | 3 (75%) | 1 (25%) | 4 (5%) | |||||
| Study objective | 0 (0%)(0%)* | 2 (100%)(3%)* | 0 (0%)(0%)* | 2 (1%) | |||||
| Results presentation and sensitivity analyses | 6 (10%)(55%)* | 23 (38%) | 32 (52%) | 61 (25%) | Sensitivity analyses | 3 (8%) | 17 (47%) | 16 (44%) | 36 (59%) |
| (29%)* | (21%)* | · Deterministic /Probabilistic | 3 (10%) | 14 (45%) | 14 (45%) | 31 (86%) | |||
| · Scenario | 0 (0%) | 3 (60%) | 2 (40%) | 5 (14%) | |||||
| Presentation | 3 (25%) | 3 (25%) | 6 (50%) | 12 (20%) | |||||
| Validity (internal and external) and study limitations | 0 (0%) | 3 (23%) | 10 (77%) | 13 (21%) | |||||
| Total | 11 (4.5%) | 80 (32.9%) | 152 (62.6%) | 243 (100%) | 11 (4.5%) | 80 (32.9%) | 152 (62.6%) | 243 (100%) | |
*The indicated percentage is calculated by reservation type (minor, important and major). All other percentages are calculated by category level.
Summary of the items most frequently criticised by CEESP.
| Category | Most frequently reported criticisms |
|---|---|
| Health states and cost | Robustness of clinical data Extrapolation of survival curve from immature data while more mature data is available Management of adverse events in the model questionable No discussion on similarity of adverse events and their costs between the modelled strategies Consumed resources are derived from expert opinion, without the experts being documented Inconsistent utility data Validation poorly described |
| Modelling | Hypotheses and extrapolation choices for probability estimates are insufficiently justified Poor or unsatisfactory documentation of structural hypotheses used in the model Transition probabilities extrapolation not conservative Adverse events are not included in the model or not taken into account in utilities or cost calculations Aggregation of heterogeneous health states |
| Results presentation and sensitivity analyses | Incomplete scenario presented Transferability of results in clinical practice is highly uncertain Lack of sensitivity analyses on some parameters Ranges for parameters used in deterministic sensitivity analysis are not adequately justified Distributions of parameters used in probabilistic sensitivity analysis are not presented or not justified in a comprehensive manner |
| Structural choice | Choice of comparators used in the analysis does not correspond to comparators used in the indication Insufficient justification for the failure to take into account some of the comparators Time horizon is not appropriate with regard to the evolution of the pathology Perspective selected in the reference case analysis does not match the one recommended by HAS. |