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Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals

OBJECTIVES: To quantify and characterise the usage of expanded access (EA) data in National Institute for Health and Care Excellence (NICE) technology appraisals (TAs). EA offers patients who are ineligible for clinical trials or registered treatment options, access to investigational therapies. Alt...

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Autores principales: Polak, Tobias B, Cucchi, David GJ, van Rosmalen, Joost, Uyl-de Groot, Carin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739059/
https://www.ncbi.nlm.nih.gov/pubmed/34992108
http://dx.doi.org/10.1136/bmjopen-2021-052186
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author Polak, Tobias B
Cucchi, David GJ
van Rosmalen, Joost
Uyl-de Groot, Carin A
author_facet Polak, Tobias B
Cucchi, David GJ
van Rosmalen, Joost
Uyl-de Groot, Carin A
author_sort Polak, Tobias B
collection PubMed
description OBJECTIVES: To quantify and characterise the usage of expanded access (EA) data in National Institute for Health and Care Excellence (NICE) technology appraisals (TAs). EA offers patients who are ineligible for clinical trials or registered treatment options, access to investigational therapies. Although EA programmes are increasingly used to collect real-world data, it is unknown if and how these date are used in NICE health technology assessments. DESIGN: Cross-sectional study of NICE appraisals (2010–2020). We automatically downloaded and screened all available appraisal documentation on NICE website (over 8500 documents), searching for EA-related terms. Two reviewers independently labelled the EA usage by disease area, and whether it was used to inform safety, efficacy and/or resource use. We qualitatively describe the five appraisals with the most occurrences of EA-related terms. PRIMARY OUTCOME MEASURE: Number of TAs that used EA data to inform safety, efficacy and/or resource use analyses. RESULTS: In 54.2% (206/380 appraisals), at least one reference to EA was made. 21.1% (80/380) of the TAs used EA data to inform safety (n=43), efficacy (n=47) and/or resource use (n=52). The number of TAs that use EA data remained stable over time, and the extent of EA data utilisation varied by disease area (p=0.001). CONCLUSION: NICE uses EA data in over one in five appraisals. In synthesis with evidence from well-controlled trials, data collected from EA programmes may meaningfully inform cost-effectiveness modelling.
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spelling pubmed-87390592022-01-20 Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals Polak, Tobias B Cucchi, David GJ van Rosmalen, Joost Uyl-de Groot, Carin A BMJ Open Health Policy OBJECTIVES: To quantify and characterise the usage of expanded access (EA) data in National Institute for Health and Care Excellence (NICE) technology appraisals (TAs). EA offers patients who are ineligible for clinical trials or registered treatment options, access to investigational therapies. Although EA programmes are increasingly used to collect real-world data, it is unknown if and how these date are used in NICE health technology assessments. DESIGN: Cross-sectional study of NICE appraisals (2010–2020). We automatically downloaded and screened all available appraisal documentation on NICE website (over 8500 documents), searching for EA-related terms. Two reviewers independently labelled the EA usage by disease area, and whether it was used to inform safety, efficacy and/or resource use. We qualitatively describe the five appraisals with the most occurrences of EA-related terms. PRIMARY OUTCOME MEASURE: Number of TAs that used EA data to inform safety, efficacy and/or resource use analyses. RESULTS: In 54.2% (206/380 appraisals), at least one reference to EA was made. 21.1% (80/380) of the TAs used EA data to inform safety (n=43), efficacy (n=47) and/or resource use (n=52). The number of TAs that use EA data remained stable over time, and the extent of EA data utilisation varied by disease area (p=0.001). CONCLUSION: NICE uses EA data in over one in five appraisals. In synthesis with evidence from well-controlled trials, data collected from EA programmes may meaningfully inform cost-effectiveness modelling. BMJ Publishing Group 2022-01-06 /pmc/articles/PMC8739059/ /pubmed/34992108 http://dx.doi.org/10.1136/bmjopen-2021-052186 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Policy
Polak, Tobias B
Cucchi, David GJ
van Rosmalen, Joost
Uyl-de Groot, Carin A
Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals
title Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals
title_full Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals
title_fullStr Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals
title_full_unstemmed Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals
title_short Real-world data from expanded access programmes in health technology assessments: a review of NICE technology appraisals
title_sort real-world data from expanded access programmes in health technology assessments: a review of nice technology appraisals
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739059/
https://www.ncbi.nlm.nih.gov/pubmed/34992108
http://dx.doi.org/10.1136/bmjopen-2021-052186
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