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“Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England
OBJECTIVES: The Cancer Drugs Fund (CDF) in England uses managed access agreements to facilitate additional data collection to address uncertainties identified in the appraisals of new drugs. This study reviews the uncertainties highlighted in the original appraisals where recommendations “to use wit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929033/ https://www.ncbi.nlm.nih.gov/pubmed/36123583 http://dx.doi.org/10.1007/s41669-022-00369-9 |
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author | Kang, Jiyeon Cairns, John |
author_facet | Kang, Jiyeon Cairns, John |
author_sort | Kang, Jiyeon |
collection | PubMed |
description | OBJECTIVES: The Cancer Drugs Fund (CDF) in England uses managed access agreements to facilitate additional data collection to address uncertainties identified in the appraisals of new drugs. This study reviews the uncertainties highlighted in the original appraisals where recommendations “to use within the CDF” were made and how additional data were used to address these uncertainties in the CDF review appraisals where final decisions on routine commissioning were made. METHODS: The first 24 drugs exiting the 2016 CDF were included in this review. The information about uncertainty and the use of newly collected data were extracted from the original appraisals and the CDF review appraisals. The additional data used in the CDF review appraisals, distinguishing between clinical trial data and real-world data (RWD), were reviewed to assess the extent to which the additional data were able to reduce the original uncertainties. RESULTS: The recommendation that the drug be routinely commissioned was made in 87.5% of re-appraisals. Uncertainty stemming from immaturity of the survival data in clinical trials was frequently found in appraisals. Later follow-up of clinical trials was used to address this uncertainty, whereas limited use was made of RWD. The Systemic Anti-Cancer Therapy (SACT) dataset is the most frequently used source of RWD. SACT data were mostly used in review appraisals to support the clinical outcomes based on later follow-up of trial participants and to inform modelling of subsequent treatments or treatment duration. CONCLUSIONS: While additionally collected RWD attracted attention when the 2016 CDF was introduced, RWD have not been widely used in CDF review appraisals and (to date) have done little to reduce uncertainty. Experience with these appraisals has highlighted the importance of longer follow-up of clinical trials and the relatively limited role of RWD, in general, and of SACT data in particular. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41669-022-00369-9. |
format | Online Article Text |
id | pubmed-9929033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-99290332023-02-16 “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England Kang, Jiyeon Cairns, John Pharmacoecon Open Original Research Article OBJECTIVES: The Cancer Drugs Fund (CDF) in England uses managed access agreements to facilitate additional data collection to address uncertainties identified in the appraisals of new drugs. This study reviews the uncertainties highlighted in the original appraisals where recommendations “to use within the CDF” were made and how additional data were used to address these uncertainties in the CDF review appraisals where final decisions on routine commissioning were made. METHODS: The first 24 drugs exiting the 2016 CDF were included in this review. The information about uncertainty and the use of newly collected data were extracted from the original appraisals and the CDF review appraisals. The additional data used in the CDF review appraisals, distinguishing between clinical trial data and real-world data (RWD), were reviewed to assess the extent to which the additional data were able to reduce the original uncertainties. RESULTS: The recommendation that the drug be routinely commissioned was made in 87.5% of re-appraisals. Uncertainty stemming from immaturity of the survival data in clinical trials was frequently found in appraisals. Later follow-up of clinical trials was used to address this uncertainty, whereas limited use was made of RWD. The Systemic Anti-Cancer Therapy (SACT) dataset is the most frequently used source of RWD. SACT data were mostly used in review appraisals to support the clinical outcomes based on later follow-up of trial participants and to inform modelling of subsequent treatments or treatment duration. CONCLUSIONS: While additionally collected RWD attracted attention when the 2016 CDF was introduced, RWD have not been widely used in CDF review appraisals and (to date) have done little to reduce uncertainty. Experience with these appraisals has highlighted the importance of longer follow-up of clinical trials and the relatively limited role of RWD, in general, and of SACT data in particular. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41669-022-00369-9. Springer International Publishing 2022-09-20 /pmc/articles/PMC9929033/ /pubmed/36123583 http://dx.doi.org/10.1007/s41669-022-00369-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Kang, Jiyeon Cairns, John “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England |
title | “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England |
title_full | “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England |
title_fullStr | “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England |
title_full_unstemmed | “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England |
title_short | “Don’t Think Twice, It’s All Right”: Using Additional Data to Reduce Uncertainty Regarding Oncologic Drugs Provided Through Managed Access Agreements in England |
title_sort | “don’t think twice, it’s all right”: using additional data to reduce uncertainty regarding oncologic drugs provided through managed access agreements in england |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929033/ https://www.ncbi.nlm.nih.gov/pubmed/36123583 http://dx.doi.org/10.1007/s41669-022-00369-9 |
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