Literature DB >> 29696458

Methodological problems in the method used by IQWiG within early benefit assessment of new pharmaceuticals in Germany.

Matthias Herpers1, Charalabos-Markos Dintsios2.   

Abstract

BACKGROUND: The decision matrix applied by the Institute for Quality and Efficiency in Health Care (IQWiG) for the quantification of added benefit within the early benefit assessment of new pharmaceuticals in Germany with its nine fields is quite complex and could be simplified. Furthermore, the method used by IQWiG is subject to manifold criticism: (1) it is implicitly weighting endpoints differently in its assessments favoring overall survival and, thereby, drug interventions in fatal diseases, (2) it is assuming that two pivotal trials are available when assessing the dossiers submitted by the pharmaceutical manufacturers, leading to far-reaching implications with respect to the quantification of added benefit, and, (3) it is basing the evaluation primarily on dichotomous endpoints and consequently leading to an information loss of usable evidence.
OBJECTIVE: To investigate if criticism is justified and to propose methodological adaptations.
METHODS: Analysis of the available dossiers up to the end of 2016 using statistical tests and multinomial logistic regression and simulations.
RESULTS: It was shown that due to power losses, the method does not ensure that results are statistically valid and outcomes of the early benefit assessment may be compromised, though evidence on favoring overall survival remains unclear. Modifications, however, of the IQWiG method are possible to address the identified problems.
CONCLUSION: By converging with the approach of approval authorities for confirmatory endpoints, the decision matrix could be simplified and the analysis method could be improved, to put the results on a more valid statistical basis.

Entities:  

Keywords:  Benefit quantification; Dichotomization; Early benefit assessment; IQWiG; Pivotal trials; Statistical validity

Mesh:

Year:  2018        PMID: 29696458     DOI: 10.1007/s10198-018-0981-3

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  15 in total

1.  ICH Harmonised Tripartite Guideline. Statistical principles for clinical trials. International Conference on Harmonisation E9 Expert Working Group.

Authors: 
Journal:  Stat Med       Date:  1999-08-15       Impact factor: 2.373

Review 2.  [Challenges for clinical trials in oncology within the scope of early benefit assessment of drugs].

Authors:  Stefan Lange
Journal:  Z Evid Fortbild Qual Gesundhwes       Date:  2015-09-15

Review 3.  [Subgroups in the early benefit assessment of pharmaceuticals: a methodical review].

Authors:  Andrej Rasch; Charalabos-Markos Dintsios
Journal:  Z Evid Fortbild Qual Gesundhwes       Date:  2015-02-07

4.  Giving Patients a Meaningful Voice in European Health Technology Assessments: The Role of Health Preference Research.

Authors:  Axel C Mühlbacher; F Reed Johnson
Journal:  Patient       Date:  2017-08       Impact factor: 3.883

5.  Questioning patient subgroups for benefit assessment: challenging the German Gemeinsamer Bundesausschuss approach.

Authors:  Jörg Ruof; Charalabos-Markos Dintsios; Friedrich Wilhelm Schwartz
Journal:  Value Health       Date:  2014-06       Impact factor: 5.725

6.  Confirmatory versus explorative endpoint analysis: Decision-making on the basis of evidence available from market authorization and early benefit assessment for oncology drugs.

Authors:  Ines Niehaus; Charalabos-Markos Dintsios
Journal:  Health Policy       Date:  2018-03-26       Impact factor: 2.980

7.  Using the analytic hierarchy process to elicit patient preferences: prioritizing multiple outcome measures of antidepressant drug treatment.

Authors:  Marjan J M Hummel; Fabian Volz; Jeannette G van Manen; Marion Danner; Charalabos-Markos Dintsios; Maarten J Ijzerman; Andreas Gerber
Journal:  Patient       Date:  2012       Impact factor: 3.883

8.  Preferences for antiviral therapy of chronic hepatitis C: a discrete choice experiment.

Authors:  Axel C Mühlbacher; John F P Bridges; Susanne Bethge; Ch-Markos Dintsios; Anja Schwalm; Andreas Gerber-Grote; Matthias Nübling
Journal:  Eur J Health Econ       Date:  2016-02-04

9.  Methodological approach to determine minor, considerable, and major treatment effects in the early benefit assessment of new drugs.

Authors:  Guido Skipka; Beate Wieseler; Thomas Kaiser; Stefanie Thomas; Ralf Bender; Jürgen Windeler; Stefan Lange
Journal:  Biom J       Date:  2015-07-02       Impact factor: 2.207

10.  The value of quantitative patient preferences in regulatory benefit-risk assessment.

Authors:  Mart Oude Egbrink; Maarten IJzerman
Journal:  J Mark Access Health Policy       Date:  2014-04-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.