Literature DB >> 26829942

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.

Salah Ghabri1, Françoise F Hamers2, Jean Michel Josselin3.   

Abstract

OBJECTIVES: 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.
METHODS: 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.
RESULTS: 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 %).
CONCLUSIONS: 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.

Mesh:

Substances:

Year:  2016        PMID: 26829942     DOI: 10.1007/s40273-016-0381-4

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  26 in total

Review 1.  Handling uncertainty in cost-effectiveness models.

Authors:  A H Briggs
Journal:  Pharmacoeconomics       Date:  2000-05       Impact factor: 4.981

2.  Survival models in health economic evaluations: balancing fit and parsimony to improve prediction.

Authors:  Christopher H Jackson; Linda D Sharples; Simon G Thompson
Journal:  Int J Biostat       Date:  2010       Impact factor: 0.968

Review 3.  Characterizing structural uncertainty in decision analytic models: a review and application of methods.

Authors:  Laura Bojke; Karl Claxton; Mark Sculpher; Stephen Palmer
Journal:  Value Health       Date:  2009 Jul-Aug       Impact factor: 5.725

4.  Model averaging in the presence of structural uncertainty about treatment effects: influence on treatment decision and expected value of information.

Authors:  Malcolm J Price; Nicky J Welton; Andrew H Briggs; A E Ades
Journal:  Value Health       Date:  2011 Mar-Apr       Impact factor: 5.725

5.  Determining the impact of modeling additional sources of uncertainty in value-of-information analysis.

Authors:  Isaac Corro Ramos; Maureen P M H; Rutten-van Mölken; Maiwenn J Al
Journal:  Value Health       Date:  2014-12-10       Impact factor: 5.725

6.  Model parameter estimation and uncertainty: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--6.

Authors:  Andrew H Briggs; Milton C Weinstein; Elisabeth A L Fenwick; Jonathan Karnon; Mark J Sculpher; A David Paltiel
Journal:  Value Health       Date:  2012 Sep-Oct       Impact factor: 5.725

Review 7.  HTA agencies facing model biases: the case of type 2 diabetes.

Authors:  Véronique Raimond; Jean-Michel Josselin; Lise Rochaix
Journal:  Pharmacoeconomics       Date:  2014-09       Impact factor: 4.981

Review 8.  Acknowledging patient heterogeneity in economic evaluation : a systematic literature review.

Authors:  Janneke P C Grutters; Mark Sculpher; Andrew H Briggs; Johan L Severens; Math J Candel; James E Stahl; Dirk De Ruysscher; Albert Boer; Bram L T Ramaekers; Manuela A Joore
Journal:  Pharmacoeconomics       Date:  2013-02       Impact factor: 4.981

9.  Cost-effectiveness acceptability curves--facts, fallacies and frequently asked questions.

Authors:  Elisabeth Fenwick; Bernie J O'Brien; Andrew Briggs
Journal:  Health Econ       Date:  2004-05       Impact factor: 3.046

10.  Accounting for uncertainty in health economic decision models by using model averaging.

Authors:  Christopher H Jackson; Simon G Thompson; Linda D Sharples
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2009-04       Impact factor: 2.483

View more
  8 in total

1.  The use of budget impact analysis in the economic evaluation of new medicines in Australia, England, France and the United States: relationship to cost-effectiveness analysis and methodological challenges.

Authors:  Salah Ghabri; Josephine Mauskopf
Journal:  Eur J Health Econ       Date:  2017-10-14

Review 2.  The French National Authority for Health (HAS) Guidelines for Conducting Budget Impact Analyses (BIA).

Authors:  Salah Ghabri; Erwan Autin; Anne-Isabelle Poullié; Jean Michel Josselin
Journal:  Pharmacoeconomics       Date:  2018-04       Impact factor: 4.981

3.  Towards a New Framework for Addressing Structural Uncertainty in Health Technology Assessment Guidelines.

Authors:  Salah Ghabri; Irina Cleemput; Jean-Michel Josselin
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

4.  Could or Should We Use MCDA in the French HTA Process?

Authors:  Salah Ghabri; Jean-Michel Josselin; Benoît Le Maux
Journal:  Pharmacoeconomics       Date:  2019-12       Impact factor: 4.981

5.  How Sensitive is Sensitivity Analysis?: Evaluation of Pharmacoeconomic Submissions in Korea.

Authors:  SeungJin Bae; Joohee Lee; Eun-Young Bae
Journal:  Front Pharmacol       Date:  2022-05-16       Impact factor: 5.988

6.  Methodological Issues in Economic Evaluations Submitted to the Pan-Canadian Oncology Drug Review (pCODR).

Authors:  Lisa Masucci; Jaclyn Beca; Mona Sabharwal; Jeffrey S Hoch
Journal:  Pharmacoecon Open       Date:  2017-12

7.  Comparing Manufacturer Submitted and Pan-Canadian Oncology Drug Review Reanalysed Incremental Cost-Effectiveness Ratios for Novel Oncology Drugs.

Authors:  Ronak Saluja; Tina Jiao; Liza Koshy; Matthew Cheung; Kelvin K W Chan
Journal:  Curr Oncol       Date:  2021-01-20       Impact factor: 3.677

Review 8.  BEACON: A Summary Framework to Overcome Potential Reimbursement Hurdles.

Authors:  William C N Dunlop; C Daniel Mullins; Olaf Pirk; Ron Goeree; Maarten J Postma; Ashley Enstone; Louise Heron
Journal:  Pharmacoeconomics       Date:  2016-10       Impact factor: 4.981

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.