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A framework for assessing the impact of accelerated approval
The FDA’s Accelerated Approval program (AA) is a regulatory program to expedite availability of products to treat serious or life-threatening illnesses that lack effective treatment alternatives. Ideally, all of the many stakeholders such as patients, physicians, regulators, and health technology as...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231718/ https://www.ncbi.nlm.nih.gov/pubmed/35749431 http://dx.doi.org/10.1371/journal.pone.0265712 |
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author | Gould, A. Lawrence Campbell, Robert K. Loewy, John W. Beckman, Robert A. Dey, Jyotirmoy Schiel, Anja Burman, Carl-Fredrik Zhou, Joey Antonijevic, Zoran Miller, Eva R. Tang, Rui |
author_facet | Gould, A. Lawrence Campbell, Robert K. Loewy, John W. Beckman, Robert A. Dey, Jyotirmoy Schiel, Anja Burman, Carl-Fredrik Zhou, Joey Antonijevic, Zoran Miller, Eva R. Tang, Rui |
author_sort | Gould, A. Lawrence |
collection | PubMed |
description | The FDA’s Accelerated Approval program (AA) is a regulatory program to expedite availability of products to treat serious or life-threatening illnesses that lack effective treatment alternatives. Ideally, all of the many stakeholders such as patients, physicians, regulators, and health technology assessment [HTA] agencies that are affected by AA should benefit from it. In practice, however, there is intense debate over whether evidence supporting AA is sufficient to meet the needs of the stakeholders who collectively bring an approved product into routine clinical care. As AAs have become more common, it becomes essential to be able to determine their impact objectively and reproducibly in a way that provides for consistent evaluation of therapeutic decision alternatives. We describe the basic features of an approach for evaluating AA impact that accommodates stakeholder-specific views about potential benefits, risks, and costs. The approach is based on a formal decision-analytic framework combining predictive distributions for therapeutic outcomes (efficacy and safety) based on statistical models that incorporate findings from AA trials with stakeholder assessments of various actions that might be taken. The framework described here provides a starting point for communicating the value of a treatment granted AA in the context of what is important to various stakeholders. |
format | Online Article Text |
id | pubmed-9231718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92317182022-06-25 A framework for assessing the impact of accelerated approval Gould, A. Lawrence Campbell, Robert K. Loewy, John W. Beckman, Robert A. Dey, Jyotirmoy Schiel, Anja Burman, Carl-Fredrik Zhou, Joey Antonijevic, Zoran Miller, Eva R. Tang, Rui PLoS One Research Article The FDA’s Accelerated Approval program (AA) is a regulatory program to expedite availability of products to treat serious or life-threatening illnesses that lack effective treatment alternatives. Ideally, all of the many stakeholders such as patients, physicians, regulators, and health technology assessment [HTA] agencies that are affected by AA should benefit from it. In practice, however, there is intense debate over whether evidence supporting AA is sufficient to meet the needs of the stakeholders who collectively bring an approved product into routine clinical care. As AAs have become more common, it becomes essential to be able to determine their impact objectively and reproducibly in a way that provides for consistent evaluation of therapeutic decision alternatives. We describe the basic features of an approach for evaluating AA impact that accommodates stakeholder-specific views about potential benefits, risks, and costs. The approach is based on a formal decision-analytic framework combining predictive distributions for therapeutic outcomes (efficacy and safety) based on statistical models that incorporate findings from AA trials with stakeholder assessments of various actions that might be taken. The framework described here provides a starting point for communicating the value of a treatment granted AA in the context of what is important to various stakeholders. Public Library of Science 2022-06-24 /pmc/articles/PMC9231718/ /pubmed/35749431 http://dx.doi.org/10.1371/journal.pone.0265712 Text en © 2022 Gould et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gould, A. Lawrence Campbell, Robert K. Loewy, John W. Beckman, Robert A. Dey, Jyotirmoy Schiel, Anja Burman, Carl-Fredrik Zhou, Joey Antonijevic, Zoran Miller, Eva R. Tang, Rui A framework for assessing the impact of accelerated approval |
title | A framework for assessing the impact of accelerated approval |
title_full | A framework for assessing the impact of accelerated approval |
title_fullStr | A framework for assessing the impact of accelerated approval |
title_full_unstemmed | A framework for assessing the impact of accelerated approval |
title_short | A framework for assessing the impact of accelerated approval |
title_sort | framework for assessing the impact of accelerated approval |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231718/ https://www.ncbi.nlm.nih.gov/pubmed/35749431 http://dx.doi.org/10.1371/journal.pone.0265712 |
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