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Affordability of oncology drugs: accuracy of budget impact estimations
Background: In many countries, Budget Impact (BI) informs reimbursement decisions. Evidence has shown that decision-makers have restricted access based on high BI estimates but studies show that BI estimates are often inaccurate. Objective: To assess the accuracy of BI estimations used for informing...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Routledge
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896423/ https://www.ncbi.nlm.nih.gov/pubmed/31839908 http://dx.doi.org/10.1080/20016689.2019.1697558 |
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author | Geenen, Joost W. Jut, Mark Boersma, Cornelis Klungel, Olaf H. Hövels, Anke M. |
author_facet | Geenen, Joost W. Jut, Mark Boersma, Cornelis Klungel, Olaf H. Hövels, Anke M. |
author_sort | Geenen, Joost W. |
collection | PubMed |
description | Background: In many countries, Budget Impact (BI) informs reimbursement decisions. Evidence has shown that decision-makers have restricted access based on high BI estimates but studies show that BI estimates are often inaccurate. Objective: To assess the accuracy of BI estimations used for informing access decisions on oncology drugs in the Netherlands. Study Design: Oncology products for which European Medicines Agency Marketing Authorisation was granted between 1-1-2000 and 1-10-2017 were selected. Observed BI data were provided by FarmInform. BI estimates were extracted from the reimbursement dossiers of the Dutch Healthcare Institute. Products without an estimated BI in the reimbursement dossier were excluded. Accuracy is defined as the ratio observed BI/estimated BI. Setting: General community, the Netherlands. Results: Ten products were included in the base case analysis. Mean accuracy was 0.64 and observed BI deviated by more than 40% and 100% from the estimated BI for 4 and 5 products, respectively. For all products together, €141 million BI was estimated and €82 million BI was observed, a €59 million difference. Conclusions: The findings indicate that BI estimates for oncology drugs in the Netherlands are inaccurate. The role and use of BI in reimbursement decisions for these potentially life-saving drugs should therefore be considered carefully, as well as BI estimation methodology. |
format | Online Article Text |
id | pubmed-6896423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Routledge |
record_format | MEDLINE/PubMed |
spelling | pubmed-68964232019-12-13 Affordability of oncology drugs: accuracy of budget impact estimations Geenen, Joost W. Jut, Mark Boersma, Cornelis Klungel, Olaf H. Hövels, Anke M. J Mark Access Health Policy Research Article Background: In many countries, Budget Impact (BI) informs reimbursement decisions. Evidence has shown that decision-makers have restricted access based on high BI estimates but studies show that BI estimates are often inaccurate. Objective: To assess the accuracy of BI estimations used for informing access decisions on oncology drugs in the Netherlands. Study Design: Oncology products for which European Medicines Agency Marketing Authorisation was granted between 1-1-2000 and 1-10-2017 were selected. Observed BI data were provided by FarmInform. BI estimates were extracted from the reimbursement dossiers of the Dutch Healthcare Institute. Products without an estimated BI in the reimbursement dossier were excluded. Accuracy is defined as the ratio observed BI/estimated BI. Setting: General community, the Netherlands. Results: Ten products were included in the base case analysis. Mean accuracy was 0.64 and observed BI deviated by more than 40% and 100% from the estimated BI for 4 and 5 products, respectively. For all products together, €141 million BI was estimated and €82 million BI was observed, a €59 million difference. Conclusions: The findings indicate that BI estimates for oncology drugs in the Netherlands are inaccurate. The role and use of BI in reimbursement decisions for these potentially life-saving drugs should therefore be considered carefully, as well as BI estimation methodology. Routledge 2019-11-30 /pmc/articles/PMC6896423/ /pubmed/31839908 http://dx.doi.org/10.1080/20016689.2019.1697558 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Geenen, Joost W. Jut, Mark Boersma, Cornelis Klungel, Olaf H. Hövels, Anke M. Affordability of oncology drugs: accuracy of budget impact estimations |
title | Affordability of oncology drugs: accuracy of budget impact estimations |
title_full | Affordability of oncology drugs: accuracy of budget impact estimations |
title_fullStr | Affordability of oncology drugs: accuracy of budget impact estimations |
title_full_unstemmed | Affordability of oncology drugs: accuracy of budget impact estimations |
title_short | Affordability of oncology drugs: accuracy of budget impact estimations |
title_sort | affordability of oncology drugs: accuracy of budget impact estimations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896423/ https://www.ncbi.nlm.nih.gov/pubmed/31839908 http://dx.doi.org/10.1080/20016689.2019.1697558 |
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