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Realising the full potential of data-enabled trials in the UK: a call for action

RATIONALE: Clinical trials are the gold standard for testing interventions. COVID-19 has further raised their public profile and emphasised the need to deliver better, faster, more efficient trials for patient benefit. Considerable overlap exists between data required for trials and data already col...

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Autores principales: Sydes, Matthew R, Barbachano, Yolanda, Bowman, Louise, Denwood, Tom, Farmer, Andrew, Garfield-Birkbeck, Steph, Gibson, Martin, Gulliford, Martin C, Harrison, David A, Hewitt, Catherine, Logue, Jennifer, Navaie, Will, Norrie, John, O'Kane, Martin, Quint, Jennifer K, Rycroft-Malone, Jo, Sheffield, Jonathan, Smeeth, Liam, Sullivan, Frank, Tizzard, Juliet, Walker, Paula, Wilding, John, Williamson, Paula R, Landray, Martin, Morris, Andrew, Walker, Rhoswyn R, Williams, Hywel C, Valentine, Janet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211043/
https://www.ncbi.nlm.nih.gov/pubmed/34135032
http://dx.doi.org/10.1136/bmjopen-2020-043906
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author Sydes, Matthew R
Barbachano, Yolanda
Bowman, Louise
Denwood, Tom
Farmer, Andrew
Garfield-Birkbeck, Steph
Gibson, Martin
Gulliford, Martin C
Harrison, David A
Hewitt, Catherine
Logue, Jennifer
Navaie, Will
Norrie, John
O'Kane, Martin
Quint, Jennifer K
Rycroft-Malone, Jo
Sheffield, Jonathan
Smeeth, Liam
Sullivan, Frank
Tizzard, Juliet
Walker, Paula
Wilding, John
Williamson, Paula R
Landray, Martin
Morris, Andrew
Walker, Rhoswyn R
Williams, Hywel C
Valentine, Janet
author_facet Sydes, Matthew R
Barbachano, Yolanda
Bowman, Louise
Denwood, Tom
Farmer, Andrew
Garfield-Birkbeck, Steph
Gibson, Martin
Gulliford, Martin C
Harrison, David A
Hewitt, Catherine
Logue, Jennifer
Navaie, Will
Norrie, John
O'Kane, Martin
Quint, Jennifer K
Rycroft-Malone, Jo
Sheffield, Jonathan
Smeeth, Liam
Sullivan, Frank
Tizzard, Juliet
Walker, Paula
Wilding, John
Williamson, Paula R
Landray, Martin
Morris, Andrew
Walker, Rhoswyn R
Williams, Hywel C
Valentine, Janet
author_sort Sydes, Matthew R
collection PubMed
description RATIONALE: Clinical trials are the gold standard for testing interventions. COVID-19 has further raised their public profile and emphasised the need to deliver better, faster, more efficient trials for patient benefit. Considerable overlap exists between data required for trials and data already collected routinely in electronic healthcare records (EHRs). Opportunities exist to use these in innovative ways to decrease duplication of effort and speed trial recruitment, conduct and follow-up. APPROACH: The National Institute of Health Research (NIHR), Health Data Research UK and Clinical Practice Research Datalink co-organised a national workshop to accelerate the agenda for ‘data-enabled clinical trials’. Showcasing successful examples and imagining future possibilities, the plenary talks, panel discussions, group discussions and case studies covered: design/feasibility; recruitment; conduct/follow-up; collecting benefits/harms; and analysis/interpretation. REFLECTION: Some notable studies have successfully accessed and used EHR to identify potential recruits, support randomised trials, deliver interventions and supplement/replace trial-specific follow-up. Some outcome measures are already reliably collected; others, like safety, need detailed work to meet regulatory reporting requirements. There is a clear need for system interoperability and a ‘route map’ to identify and access the necessary datasets. Researchers running regulatory-facing trials must carefully consider how data quality and integrity would be assessed. An experience-sharing forum could stimulate wider adoption of EHR-based methods in trial design and execution. DISCUSSION: EHR offer opportunities to better plan clinical trials, assess patients and capture data more efficiently, reducing research waste and increasing focus on each trial’s specific challenges. The short-term emphasis should be on facilitating patient recruitment and for postmarketing authorisation trials where research-relevant outcome measures are readily collectable. Sharing of case studies is encouraged. The workshop directly informed NIHR’s funding call for ambitious data-enabled trials at scale. There is the opportunity for the UK to build upon existing data science capabilities to identify, recruit and monitor patients in trials at scale.
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spelling pubmed-82110432021-07-01 Realising the full potential of data-enabled trials in the UK: a call for action Sydes, Matthew R Barbachano, Yolanda Bowman, Louise Denwood, Tom Farmer, Andrew Garfield-Birkbeck, Steph Gibson, Martin Gulliford, Martin C Harrison, David A Hewitt, Catherine Logue, Jennifer Navaie, Will Norrie, John O'Kane, Martin Quint, Jennifer K Rycroft-Malone, Jo Sheffield, Jonathan Smeeth, Liam Sullivan, Frank Tizzard, Juliet Walker, Paula Wilding, John Williamson, Paula R Landray, Martin Morris, Andrew Walker, Rhoswyn R Williams, Hywel C Valentine, Janet BMJ Open Health Informatics RATIONALE: Clinical trials are the gold standard for testing interventions. COVID-19 has further raised their public profile and emphasised the need to deliver better, faster, more efficient trials for patient benefit. Considerable overlap exists between data required for trials and data already collected routinely in electronic healthcare records (EHRs). Opportunities exist to use these in innovative ways to decrease duplication of effort and speed trial recruitment, conduct and follow-up. APPROACH: The National Institute of Health Research (NIHR), Health Data Research UK and Clinical Practice Research Datalink co-organised a national workshop to accelerate the agenda for ‘data-enabled clinical trials’. Showcasing successful examples and imagining future possibilities, the plenary talks, panel discussions, group discussions and case studies covered: design/feasibility; recruitment; conduct/follow-up; collecting benefits/harms; and analysis/interpretation. REFLECTION: Some notable studies have successfully accessed and used EHR to identify potential recruits, support randomised trials, deliver interventions and supplement/replace trial-specific follow-up. Some outcome measures are already reliably collected; others, like safety, need detailed work to meet regulatory reporting requirements. There is a clear need for system interoperability and a ‘route map’ to identify and access the necessary datasets. Researchers running regulatory-facing trials must carefully consider how data quality and integrity would be assessed. An experience-sharing forum could stimulate wider adoption of EHR-based methods in trial design and execution. DISCUSSION: EHR offer opportunities to better plan clinical trials, assess patients and capture data more efficiently, reducing research waste and increasing focus on each trial’s specific challenges. The short-term emphasis should be on facilitating patient recruitment and for postmarketing authorisation trials where research-relevant outcome measures are readily collectable. Sharing of case studies is encouraged. The workshop directly informed NIHR’s funding call for ambitious data-enabled trials at scale. There is the opportunity for the UK to build upon existing data science capabilities to identify, recruit and monitor patients in trials at scale. BMJ Publishing Group 2021-06-16 /pmc/articles/PMC8211043/ /pubmed/34135032 http://dx.doi.org/10.1136/bmjopen-2020-043906 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Informatics
Sydes, Matthew R
Barbachano, Yolanda
Bowman, Louise
Denwood, Tom
Farmer, Andrew
Garfield-Birkbeck, Steph
Gibson, Martin
Gulliford, Martin C
Harrison, David A
Hewitt, Catherine
Logue, Jennifer
Navaie, Will
Norrie, John
O'Kane, Martin
Quint, Jennifer K
Rycroft-Malone, Jo
Sheffield, Jonathan
Smeeth, Liam
Sullivan, Frank
Tizzard, Juliet
Walker, Paula
Wilding, John
Williamson, Paula R
Landray, Martin
Morris, Andrew
Walker, Rhoswyn R
Williams, Hywel C
Valentine, Janet
Realising the full potential of data-enabled trials in the UK: a call for action
title Realising the full potential of data-enabled trials in the UK: a call for action
title_full Realising the full potential of data-enabled trials in the UK: a call for action
title_fullStr Realising the full potential of data-enabled trials in the UK: a call for action
title_full_unstemmed Realising the full potential of data-enabled trials in the UK: a call for action
title_short Realising the full potential of data-enabled trials in the UK: a call for action
title_sort realising the full potential of data-enabled trials in the uk: a call for action
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211043/
https://www.ncbi.nlm.nih.gov/pubmed/34135032
http://dx.doi.org/10.1136/bmjopen-2020-043906
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