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Accessing routinely collected health data to improve clinical trials: recent experience of access

BACKGROUND: Routinely collected electronic health records (EHRs) have the potential to enhance randomised controlled trials (RCTs) by facilitating recruitment and follow-up. Despite this, current EHR use is minimal in UK RCTs, in part due to ongoing concerns about the utility (reliability, completen...

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Autores principales: Macnair, Archie, Love, Sharon B., Murray, Macey L., Gilbert, Duncan C., Parmar, Mahesh K. B., Denwood, Tom, Carpenter, James, Sydes, Matthew R., Langley, Ruth E., Cafferty, Fay H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108438/
https://www.ncbi.nlm.nih.gov/pubmed/33971933
http://dx.doi.org/10.1186/s13063-021-05295-5
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author Macnair, Archie
Love, Sharon B.
Murray, Macey L.
Gilbert, Duncan C.
Parmar, Mahesh K. B.
Denwood, Tom
Carpenter, James
Sydes, Matthew R.
Langley, Ruth E.
Cafferty, Fay H.
author_facet Macnair, Archie
Love, Sharon B.
Murray, Macey L.
Gilbert, Duncan C.
Parmar, Mahesh K. B.
Denwood, Tom
Carpenter, James
Sydes, Matthew R.
Langley, Ruth E.
Cafferty, Fay H.
author_sort Macnair, Archie
collection PubMed
description BACKGROUND: Routinely collected electronic health records (EHRs) have the potential to enhance randomised controlled trials (RCTs) by facilitating recruitment and follow-up. Despite this, current EHR use is minimal in UK RCTs, in part due to ongoing concerns about the utility (reliability, completeness, accuracy) and accessibility of the data. The aim of this manuscript is to document the process, timelines and challenges of the application process to help improve the service both for the applicants and data holders. METHODS: This is a qualitative paper providing a descriptive narrative from one UK clinical trials unit (MRC CTU at UCL) on the experience of two trial teams’ application process to access data from three large English national datasets: National Cancer Registration and Analysis Service (NCRAS), National Institute for Cardiovascular Outcomes Research (NICOR) and NHS Digital to establish themes for discussion. The underpinning reason for applying for the data was to compare EHRs with data collected through case report forms in two RCTs, Add-Aspirin (ISRCTN 74358648) and PATCH (ISRCTN 70406718). RESULTS: The Add-Aspirin trial, which had a pre-planned embedded sub-study to assess EHR, received data from NCRAS 13 months after the first application. In the PATCH trial, the decision to request data was made whilst the trial was recruiting. The study received data after 8 months from NICOR and 15 months for NHS Digital following final application submission. This concluded in May 2020. Prior to application submission, significant time and effort was needed particularly in relation to the PATCH trial where negotiations over consent and data linkage took many years. CONCLUSIONS: Our experience demonstrates that data access can be a prolonged and complex process. This is compounded if multiple data sources are required for the same project. This needs to be factored in when planning to use EHR within RCTs and is best considered prior to conception of the trial. Data holders and researchers are endeavouring to simplify and streamline the application process so that the potential of EHR can be realised for clinical trials.
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spelling pubmed-81084382021-05-11 Accessing routinely collected health data to improve clinical trials: recent experience of access Macnair, Archie Love, Sharon B. Murray, Macey L. Gilbert, Duncan C. Parmar, Mahesh K. B. Denwood, Tom Carpenter, James Sydes, Matthew R. Langley, Ruth E. Cafferty, Fay H. Trials Research BACKGROUND: Routinely collected electronic health records (EHRs) have the potential to enhance randomised controlled trials (RCTs) by facilitating recruitment and follow-up. Despite this, current EHR use is minimal in UK RCTs, in part due to ongoing concerns about the utility (reliability, completeness, accuracy) and accessibility of the data. The aim of this manuscript is to document the process, timelines and challenges of the application process to help improve the service both for the applicants and data holders. METHODS: This is a qualitative paper providing a descriptive narrative from one UK clinical trials unit (MRC CTU at UCL) on the experience of two trial teams’ application process to access data from three large English national datasets: National Cancer Registration and Analysis Service (NCRAS), National Institute for Cardiovascular Outcomes Research (NICOR) and NHS Digital to establish themes for discussion. The underpinning reason for applying for the data was to compare EHRs with data collected through case report forms in two RCTs, Add-Aspirin (ISRCTN 74358648) and PATCH (ISRCTN 70406718). RESULTS: The Add-Aspirin trial, which had a pre-planned embedded sub-study to assess EHR, received data from NCRAS 13 months after the first application. In the PATCH trial, the decision to request data was made whilst the trial was recruiting. The study received data after 8 months from NICOR and 15 months for NHS Digital following final application submission. This concluded in May 2020. Prior to application submission, significant time and effort was needed particularly in relation to the PATCH trial where negotiations over consent and data linkage took many years. CONCLUSIONS: Our experience demonstrates that data access can be a prolonged and complex process. This is compounded if multiple data sources are required for the same project. This needs to be factored in when planning to use EHR within RCTs and is best considered prior to conception of the trial. Data holders and researchers are endeavouring to simplify and streamline the application process so that the potential of EHR can be realised for clinical trials. BioMed Central 2021-05-10 /pmc/articles/PMC8108438/ /pubmed/33971933 http://dx.doi.org/10.1186/s13063-021-05295-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Macnair, Archie
Love, Sharon B.
Murray, Macey L.
Gilbert, Duncan C.
Parmar, Mahesh K. B.
Denwood, Tom
Carpenter, James
Sydes, Matthew R.
Langley, Ruth E.
Cafferty, Fay H.
Accessing routinely collected health data to improve clinical trials: recent experience of access
title Accessing routinely collected health data to improve clinical trials: recent experience of access
title_full Accessing routinely collected health data to improve clinical trials: recent experience of access
title_fullStr Accessing routinely collected health data to improve clinical trials: recent experience of access
title_full_unstemmed Accessing routinely collected health data to improve clinical trials: recent experience of access
title_short Accessing routinely collected health data to improve clinical trials: recent experience of access
title_sort accessing routinely collected health data to improve clinical trials: recent experience of access
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108438/
https://www.ncbi.nlm.nih.gov/pubmed/33971933
http://dx.doi.org/10.1186/s13063-021-05295-5
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