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Assessing personalized medicines in Australia: a national framework for reviewing codependent technologies

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posted on 2024-07-09, 14:24 authored by Tracy Merlin, Claude Farah, Camille Schubert, Andrew Mitchell, Janet HillerJanet Hiller, Philip Ryan
Background. Since the mapping of the human genome in 2003, the development of biomarker targeted therapy and clinical adoption of 'personalized medicine' has accelerated. Models for insurance subsidy of biomarker/test/drug packages ('codependent technologies' or technologies that work better together) are not well developed. Our aim was to create a framework to assess the safety, effectiveness, and cost-effectiveness of these technologies for a national coverage or reimbursement decision. Methods. We extracted information from assessments of recent Australian reimbursement applications that concerned genetic tests and treatments to identify items and evidence gaps considered important to the decision-making process. Relevant international regulatory and reimbursement guidance documents were also reviewed. Items addressing causality theory were included to help explain the relationship between biomarker and treatment. The framework was reviewed by policy makers and technical experts, prior to a public consultation process. Results. The framework consists of 5 components - context, clinical benefit, evidence translation, cost-effectiveness, and financial impact - and a checklist of 79 items. To determine whether the biomarker test, the drug, both, or neither should be subsidized, we considered it crucial to identify whether the biomarker is a treatment effect modifier or a prognostic factor. To aid in this determination, the framework explicitly allows the linkage of different types of evidence to examine whether targeting the biomarker varies the likely clinical benefit of the drug, and if so, to what extent. Conclusions. The first national framework to assess personalized medicine for coverage or reimbursement decisions has been developed and introduced and may be a suitable model for other health systems.

Funding

Department of Health and Aged Care

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ISSN

0272-989X

Journal title

Medical Decision Making

Volume

33

Issue

3

Pagination

333-342

Publisher

Sage

Copyright statement

Copyright © 2013. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(http://www.uk.sagepub.com/aboutus/openaccess.htm).

Language

eng

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