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TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases

BACKGROUND: Many treatments developed for rare diseases will have an Orphan Medicinal Product (OMP) designation, indicating that they are likely to deliver benefit in an area of high unmet need. Their approval may be based on a small or uncontrolled trial, as randomised controlled trials (RCTs) of s...

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Autores principales: Annemans, Lieven, Makady, Amr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251888/
https://www.ncbi.nlm.nih.gov/pubmed/32456653
http://dx.doi.org/10.1186/s13023-020-01370-3
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author Annemans, Lieven
Makady, Amr
author_facet Annemans, Lieven
Makady, Amr
author_sort Annemans, Lieven
collection PubMed
description BACKGROUND: Many treatments developed for rare diseases will have an Orphan Medicinal Product (OMP) designation, indicating that they are likely to deliver benefit in an area of high unmet need. Their approval may be based on a small or uncontrolled trial, as randomised controlled trials (RCTs) of sufficient size are often difficult to conduct, or repeat, as a result of the rarity of the condition, sparsity of patients, or for ethical reasons. Furthermore, many products are given a conditional marketing authorisation, requiring additional evidence to be collected after product launch. This is even more challenging with the advent of advanced therapeutic medicinal products, which use novel scientific approaches like gene or somatic cell therapy. ISSUE: Given the high unmet need associated with these products, there is pressure for Health Technology Assessment (HTA)/reimbursement bodies to enable rapid access to effective treatments. However, there is often only limited evidence available for assessment. METHODS: TRUST4RD proposes an approach to identify uncertainties of most concern for decision-makers by developing an iterative and informed dialogue amongst stakeholders (including manufacturers, clinicians, patients, regulatory- and HTA agencies and payers), so that potential approaches to resolution can be discussed. As evidence is generated, uncertainties are reviewed and prioritised, and evidence-generation plans revised or clarified accordingly. The aim is to develop – both pre- and post HTA submission – a better understanding of evidence requirements versus evidence-generation trade-offs as an evidence base grows and the potential value of a product becomes clearer. CONCLUSION: TRUST4RD presents guidance on defining uncertainties and evidence gaps in the assessment of value and value for money of specialised treatments for rare diseases. It also provides guidance on the potential of Real World Evidence (RWE) to help address such uncertainties, including the typology of evidence uncertainties, the importance of different uncertainties and the data sources available to address them before and after HTA submission. In making use of the guidance, authorisation and reimbursement discussions on such treatments can be embedded in an evidence-rich context, thereby ensuring value to all parties, particularly to patients.
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spelling pubmed-72518882020-06-07 TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases Annemans, Lieven Makady, Amr Orphanet J Rare Dis Position Statement BACKGROUND: Many treatments developed for rare diseases will have an Orphan Medicinal Product (OMP) designation, indicating that they are likely to deliver benefit in an area of high unmet need. Their approval may be based on a small or uncontrolled trial, as randomised controlled trials (RCTs) of sufficient size are often difficult to conduct, or repeat, as a result of the rarity of the condition, sparsity of patients, or for ethical reasons. Furthermore, many products are given a conditional marketing authorisation, requiring additional evidence to be collected after product launch. This is even more challenging with the advent of advanced therapeutic medicinal products, which use novel scientific approaches like gene or somatic cell therapy. ISSUE: Given the high unmet need associated with these products, there is pressure for Health Technology Assessment (HTA)/reimbursement bodies to enable rapid access to effective treatments. However, there is often only limited evidence available for assessment. METHODS: TRUST4RD proposes an approach to identify uncertainties of most concern for decision-makers by developing an iterative and informed dialogue amongst stakeholders (including manufacturers, clinicians, patients, regulatory- and HTA agencies and payers), so that potential approaches to resolution can be discussed. As evidence is generated, uncertainties are reviewed and prioritised, and evidence-generation plans revised or clarified accordingly. The aim is to develop – both pre- and post HTA submission – a better understanding of evidence requirements versus evidence-generation trade-offs as an evidence base grows and the potential value of a product becomes clearer. CONCLUSION: TRUST4RD presents guidance on defining uncertainties and evidence gaps in the assessment of value and value for money of specialised treatments for rare diseases. It also provides guidance on the potential of Real World Evidence (RWE) to help address such uncertainties, including the typology of evidence uncertainties, the importance of different uncertainties and the data sources available to address them before and after HTA submission. In making use of the guidance, authorisation and reimbursement discussions on such treatments can be embedded in an evidence-rich context, thereby ensuring value to all parties, particularly to patients. BioMed Central 2020-05-26 /pmc/articles/PMC7251888/ /pubmed/32456653 http://dx.doi.org/10.1186/s13023-020-01370-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Position Statement
Annemans, Lieven
Makady, Amr
TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
title TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
title_full TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
title_fullStr TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
title_full_unstemmed TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
title_short TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
title_sort trust4rd: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases
topic Position Statement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251888/
https://www.ncbi.nlm.nih.gov/pubmed/32456653
http://dx.doi.org/10.1186/s13023-020-01370-3
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