Cargando…

Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching

Background: Cell and gene therapies are associated with uncertainty around their value claims at launch due to limitations of supporting clinical data; furthermore, their high costs present affordability issues for payers. Outcomes-based reimbursement can reduce payer decision uncertainty and improv...

Descripción completa

Detalles Bibliográficos
Autores principales: Jørgensen, Jesper, Mungapen, Laura, Kefalas, Panos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Routledge 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366432/
https://www.ncbi.nlm.nih.gov/pubmed/30774785
http://dx.doi.org/10.1080/20016689.2019.1573164
_version_ 1783393626344128512
author Jørgensen, Jesper
Mungapen, Laura
Kefalas, Panos
author_facet Jørgensen, Jesper
Mungapen, Laura
Kefalas, Panos
author_sort Jørgensen, Jesper
collection PubMed
description Background: Cell and gene therapies are associated with uncertainty around their value claims at launch due to limitations of supporting clinical data; furthermore, their high costs present affordability issues for payers. Outcomes-based reimbursement can reduce payer decision uncertainty and improve patient access, however, requires data collection infrastructure and practice to be operational. Objective: To identify indications most likely to see launch of cell or gene therapies in the UK over the next five years, and to perform a qualitative assessment of how conducive the existing data collection infrastructure and clinical practice is in facilitating adoption of outcomes-based reimbursement in the corresponding indications. Methodology: Through secondary research, we identified target indications for cell or gene therapies at a mature clinical development stage (Phase III) with EU and/or US trial sites, and assessed availability of relevant data collection infrastructures in the UK. Secondary research findings were validated through primary research (expert interviews). Key parameters considered for the suitability of existing data collection infrastructure in supporting outcomes-based reimbursement include time horizon of data collection, whether data entry is mandatory and whether infrastructure is product or therapy area-specific. Findings: We identified 58 cell or gene therapies, spanning 47 indications, 20 of which are in oncology. Oncology seems well placed for outcomes data collection (through the mandatory Systemic Anti-Cancer Treatment database), however data entry compliance can be an issue (due to resource limitations), and upgrading will be needed for the purpose of outcomes-based reimbursement. Among non-oncology indications ~two-thirds have data collection infrastructures in place, but only three come close to the requirements for outcomes-based reimbursement. Conclusions: Existing data collection infrastructure in indications with potential cell or gene therapies launches in the next five years in the UK is overall not sufficient to facilitate outcomes-based reimbursement.
format Online
Article
Text
id pubmed-6366432
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Routledge
record_format MEDLINE/PubMed
spelling pubmed-63664322019-02-15 Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching Jørgensen, Jesper Mungapen, Laura Kefalas, Panos J Mark Access Health Policy Original Research Article Background: Cell and gene therapies are associated with uncertainty around their value claims at launch due to limitations of supporting clinical data; furthermore, their high costs present affordability issues for payers. Outcomes-based reimbursement can reduce payer decision uncertainty and improve patient access, however, requires data collection infrastructure and practice to be operational. Objective: To identify indications most likely to see launch of cell or gene therapies in the UK over the next five years, and to perform a qualitative assessment of how conducive the existing data collection infrastructure and clinical practice is in facilitating adoption of outcomes-based reimbursement in the corresponding indications. Methodology: Through secondary research, we identified target indications for cell or gene therapies at a mature clinical development stage (Phase III) with EU and/or US trial sites, and assessed availability of relevant data collection infrastructures in the UK. Secondary research findings were validated through primary research (expert interviews). Key parameters considered for the suitability of existing data collection infrastructure in supporting outcomes-based reimbursement include time horizon of data collection, whether data entry is mandatory and whether infrastructure is product or therapy area-specific. Findings: We identified 58 cell or gene therapies, spanning 47 indications, 20 of which are in oncology. Oncology seems well placed for outcomes data collection (through the mandatory Systemic Anti-Cancer Treatment database), however data entry compliance can be an issue (due to resource limitations), and upgrading will be needed for the purpose of outcomes-based reimbursement. Among non-oncology indications ~two-thirds have data collection infrastructures in place, but only three come close to the requirements for outcomes-based reimbursement. Conclusions: Existing data collection infrastructure in indications with potential cell or gene therapies launches in the next five years in the UK is overall not sufficient to facilitate outcomes-based reimbursement. Routledge 2019-02-04 /pmc/articles/PMC6366432/ /pubmed/30774785 http://dx.doi.org/10.1080/20016689.2019.1573164 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://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/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Article
Jørgensen, Jesper
Mungapen, Laura
Kefalas, Panos
Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching
title Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching
title_full Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching
title_fullStr Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching
title_full_unstemmed Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching
title_short Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching
title_sort data collection infrastructure for patient outcomes in the uk – opportunities and challenges for cell and gene therapies launching
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366432/
https://www.ncbi.nlm.nih.gov/pubmed/30774785
http://dx.doi.org/10.1080/20016689.2019.1573164
work_keys_str_mv AT jørgensenjesper datacollectioninfrastructureforpatientoutcomesintheukopportunitiesandchallengesforcellandgenetherapieslaunching
AT mungapenlaura datacollectioninfrastructureforpatientoutcomesintheukopportunitiesandchallengesforcellandgenetherapieslaunching
AT kefalaspanos datacollectioninfrastructureforpatientoutcomesintheukopportunitiesandchallengesforcellandgenetherapieslaunching