Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-23T21:59:29.132Z Has data issue: false hasContentIssue false

Evaluation of precision medicine assessment reports of the Belgian healthcare payer to inform reimbursement decisions

Published online by Cambridge University Press:  07 September 2020

Laurenz Govaerts*
Affiliation:
Healthcare Management Centre, Vlerick Business School, Ghent, Belgium Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49, Box 521, Leuven, Belgium
Anouk Waeytens
Affiliation:
National Institute for Health and Disability Insurance (RIZIV-INAMI), Brussels, Belgium
Walter Van Dyck
Affiliation:
Healthcare Management Centre, Vlerick Business School, Ghent, Belgium Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49, Box 521, Leuven, Belgium
Steven Simoens
Affiliation:
Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49, Box 521, Leuven, Belgium
Isabelle Huys
Affiliation:
Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Herestraat 49, Box 521, Leuven, Belgium
*
Author for correspondence: Laurenz Govaerts, E-mail: [email protected]

Abstract

Introduction

Precision medicines rely on companion diagnostics to identify patient subgroups eligible for receiving the pharmaceutical product. Until recently, the Belgian public health payer, RIZIV-INAMI, assessed precision medicines and companion diagnostics separately for reimbursement decisions. As both components are considered co-dependent technologies, their assessment should be conducted jointly from a health technology assessment (HTA) perspective. As of July 2019, a novel procedure was implemented accommodating for this joint assessment practice. The aim of this research was to formulate recommendations to improve the assessment in the novel procedure.

Methods

This study evaluated the precision medicine assessment reports of RIZIV-INAMI of the last 5 years under the former assessment procedure. The HTA framework for co-dependent technologies developed by Merlin et al. for the Australian healthcare system was used as a reference standard in this evaluation. Criteria were scored as either present or not present.

Results

Thirteen assessment reports were evaluated. Varying scores between reports were obtained for the domain establishing the co-dependent relationship between diagnostic and pharmaceutical. Domains evaluating the clinical utility of the biomarker and the cost-effectiveness performed poorly, whereas the budget impact and the transfer of trial data to the local setting performed well.

Recommendations

Based on these results we recommend three amendments for the novel procedure. (i) The implementation of the linked evidence approach when direct evidence of clinical utility is not present, (ii) incorporation of a bias assessment tool, and (iii) further specify guidelines for submission and assessment to decrease the variability of reported evidence between assessment reports.

Type
Assessment
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Larry Jameson, J, Longo, DL. Precision medicine—personalized, problematic, and promising. N Engl J Med. 2015;70:612–14.Google Scholar
The European Parliament European Regulations on In Vitro Diagnostic Medical Devices (2017); 2017.Google Scholar
Merlin, T, Farah, C, Schubert, C, Mitchell, A, Hiller, JE, Ryan, P. Assessing personalized medicines in Australia: a national framework for reviewing codependent technologies. Med Decis Making. 2013;33:333–42.CrossRefGoogle ScholarPubMed
Miller, I, Ashton-Chess, J, Spolders, H, Fert, V, Ferrara, J, Kroll, W. Market access challenges in the EU for high medical value diagnostic tests. Pers Med. 2011;8:137–48.CrossRefGoogle ScholarPubMed
Cohen, JP, Felix, AE. Personalized medicine's bottleneck: Diagnostic test evidence and reimbursement. J Pers Med. 2014;4:163–75.CrossRefGoogle ScholarPubMed
Federaal Kennis centrum voor de Gezondheidszorg [Internet] Next generation sequencing gene panels for targeted therapy in oncology and haemato-oncology 2015. Available from: https://kce.fgov.be/nl/node/1928.Google Scholar
Wurcel, V, Perche, O, Lesteven, D, Williams, D, Schäfer, B, Hopley, C. The value of companion diagnostics: Overcoming access barriers to transform personalised health care into an affordable reality in Europe. Public Heal Genomics 2016;19:137–43.CrossRefGoogle ScholarPubMed
Rijksinstituut voor ziekte- en invaliditeitsverzekering (RIZIV) [Internet] Terugbetaling van gepersonaliseerde geneesmiddelen en “companion diagnostics” [cited 2019 Jul 11]. Available from: https://www.riziv.fgov.be/nl/professionals/verzorgingsinstellingen/laboratoria/Paginas/terugbetaling-gepersonaliseerde-geneesmiddelen-companion-diagnostics.aspx#Een_vlotte_terugbetaling_door_een_gekoppelde_procedure:_artikel_33ter_en_hoofdstuk_VIII.Google Scholar
Haute Autorité de Santé (HAS) [Internet] Companion diagnostic test associated with a targeted therapy: definitions and assessment method [cited 2017 Aug 14]. Available from: www.has-sante.fr.Google Scholar
European Network for Health Technology Assessment (EUnetHTA) [Internet] Personalised medicine and co-dependent technologies, with a special focus on issues of study design. Available from: https://www.eunethta.eu/wp-content/uploads/2018/03/Personalized_Medicine_2016-03-07_reflection_paper_pm_2nd_draft.pdf.Google Scholar
Pharmaceutical Benefits Advisory Committee [Internet] Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee [cited 2020 Jun 15]. Available from: http://www.pbac.pbs.gov.au/information/printable-version-of-guidelines.html.Google Scholar
Federale Overheidsdienst Sociale Zekerheid Koninklijk Besluit: vaststelling van de procedures, termijnen en voorwaarden inzake de tegemoetkoming van de verplichte verzekering voor geneeskundige verzorging en uitkeringen in de kosten van farmaceutische specialiteiten. Brussels, Belgium: Federale Overheidsdienst Sociale Zekerheid; 2018.Google Scholar
Merlin, T, Lehman, S, Hiller, JE, Ryan, P. The linked evidence approach to assess medical tests: A critical analysis. Int J Technol Assess Health Care. 2013;29:343–50.CrossRefGoogle ScholarPubMed
Soares, MO, Walker, S, Palmer, SJ, Sculpher, MJ. Establishing the value of diagnostic and prognostic tests in health technology assessment. Med Decis Making. 2018;38:495508.CrossRefGoogle ScholarPubMed
Commissie Tegemoetkoming Geneesmiddelen (CTG) [Internet] Richtlijnen opname in de terugbetaling in klasse 1 [cited 2019 Aug 14]. Available from: https://www.riziv.fgov.be/nl/professionals/andere-professionals/farmaceutische-industrie/Paginas/default.aspx#.XVPhvuj7Q2w.Google Scholar
Doble, B, Tan, M, Harris, A, Lorgelly, P. Modeling companion diagnostics in economic evaluations of targeted oncology therapies: Systematic review and methodological checklist. Expert Rev Mol Diagn. 2015;15:235–54.CrossRefGoogle ScholarPubMed
Faulkner, E, Annemans, L, Garrison, L, Helfand, M, Holtorf, AP, Hornberger, J et al. Challenges in the development and reimbursement of personalized medicine—payer and manufacturer perspectives and implications for health economics and outcomes research: a report of the ISPOR personalized medicine special interest group. Value Health 2012;15:1162–71.Google ScholarPubMed
San Miguel, L, Hulstaert, F. The importance of test accuracy in economic evaluations of companion diagnostics. J Comp Eff Res. 2015;4:569–77.CrossRefGoogle ScholarPubMed
Byron, SK, Crabb, N, George, E, Marlow, M, Newland, A. The health technology assessment of companion diagnostics: Experience of NICE. Clin Cancer Res. 2014;20:1469–76.CrossRefGoogle ScholarPubMed
Vivot, A, Boutron, I, Béraud-Chaulet, G, Zeitoun, JD, Ravaud, P, Porcher, R. Evidence for treatment-by-biomarker interaction for FDA-approved oncology drugs with required pharmacogenomic biomarker testing. Sci Rep. 2017;7:19.CrossRefGoogle ScholarPubMed
Ministère des solidarités et de la santé [Internet] Le référentiel des actes innovants hors nomenclature de biologie et d'anatomopathologie (RIHN)—Ministère des Solidarités et de la Santé [cited 2019 Jul 11]. Available from: https://solidarites-sante.gouv.fr/systeme-de-sante-et-medico-social/recherche-et-innovation/rihn.Google Scholar
Cochrane Methods [Internet] RoB 2: A revised Cochrane risk-of-bias tool for randomized trials, Cochrane Bias [cited 2019 Aug 14]. Available from: https://methods.cochrane.org/bias/resources/rob-2-revised-cochrane-risk-bias-tool-randomized-trials.Google Scholar
Whiting, PF, Rutjes, AWS, Westwood, ME, Mallett, S, Deeks, JJ, Reitsma, J, et al. QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529.CrossRefGoogle ScholarPubMed
Supplementary material: File

Govaerts et al. supplementary material

Govaerts et al. supplementary material

Download Govaerts et al. supplementary material(File)
File 15.1 KB