Cargando…

Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial

BACKGROUND: Despite great promise, trials that ascertain patient clinical data from electronic health records (EHR), referred to here as “EHR-sourced” trials, are limited by uncertainty about how existing trial sites and infrastructure can be best used to operationalize study goals. Evidence is need...

Descripción completa

Detalles Bibliográficos
Autores principales: Raman, Sudha R., Qualls, Laura G., Hammill, Bradley G., Nelson, Adam J., Nilles, Ester Kim, Marsolo, Keith, O’Brien, Emily C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474626/
https://www.ncbi.nlm.nih.gov/pubmed/37658391
http://dx.doi.org/10.1186/s13063-023-07563-y
_version_ 1785100539620491264
author Raman, Sudha R.
Qualls, Laura G.
Hammill, Bradley G.
Nelson, Adam J.
Nilles, Ester Kim
Marsolo, Keith
O’Brien, Emily C.
author_facet Raman, Sudha R.
Qualls, Laura G.
Hammill, Bradley G.
Nelson, Adam J.
Nilles, Ester Kim
Marsolo, Keith
O’Brien, Emily C.
author_sort Raman, Sudha R.
collection PubMed
description BACKGROUND: Despite great promise, trials that ascertain patient clinical data from electronic health records (EHR), referred to here as “EHR-sourced” trials, are limited by uncertainty about how existing trial sites and infrastructure can be best used to operationalize study goals. Evidence is needed to support the practical use of EHRs in contemporary clinical trial settings. MAIN TEXT: We describe a demonstration project that used EHR data to complement data collected for a contemporary multi-center pharmaceutical industry outcomes trial, and how a central coordinating center supported participating sites through the technical, governance, and operational aspects of this type of activity. We discuss operational considerations related to site selection, data extraction, site performance, and data transfer and quality review, and we outline challenges and lessons learned. We surveyed potential sites and used their responses to assess feasibility, determine the potential capabilities of sites and choose an appropriate data extraction strategy. We designed a flexible, multimodal approach for data extraction, enabling each site to either leverage an existing data source, create a new research datamart, or send all data to the central coordinating center to produce the requisite data elements. We evaluated site performance, as reflected by the speed of contracting and IRB approval, total patients enrolled, enrollment yield, data quality, and compared performance by data collection strategy. CONCLUSION: While broadening the type of sites able to participate in EHR-sourced trials may lead to greater generalizability and improved enrollment, sites with fewer technical resources may require additional support to participate. Central coordinating center support is essential to facilitate the execution of operational processes. Future work should focus on sharing lessons learned and creating reusable tools to facilitate participation of heterogeneous trial sites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07563-y.
format Online
Article
Text
id pubmed-10474626
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-104746262023-09-03 Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial Raman, Sudha R. Qualls, Laura G. Hammill, Bradley G. Nelson, Adam J. Nilles, Ester Kim Marsolo, Keith O’Brien, Emily C. Trials Commentary BACKGROUND: Despite great promise, trials that ascertain patient clinical data from electronic health records (EHR), referred to here as “EHR-sourced” trials, are limited by uncertainty about how existing trial sites and infrastructure can be best used to operationalize study goals. Evidence is needed to support the practical use of EHRs in contemporary clinical trial settings. MAIN TEXT: We describe a demonstration project that used EHR data to complement data collected for a contemporary multi-center pharmaceutical industry outcomes trial, and how a central coordinating center supported participating sites through the technical, governance, and operational aspects of this type of activity. We discuss operational considerations related to site selection, data extraction, site performance, and data transfer and quality review, and we outline challenges and lessons learned. We surveyed potential sites and used their responses to assess feasibility, determine the potential capabilities of sites and choose an appropriate data extraction strategy. We designed a flexible, multimodal approach for data extraction, enabling each site to either leverage an existing data source, create a new research datamart, or send all data to the central coordinating center to produce the requisite data elements. We evaluated site performance, as reflected by the speed of contracting and IRB approval, total patients enrolled, enrollment yield, data quality, and compared performance by data collection strategy. CONCLUSION: While broadening the type of sites able to participate in EHR-sourced trials may lead to greater generalizability and improved enrollment, sites with fewer technical resources may require additional support to participate. Central coordinating center support is essential to facilitate the execution of operational processes. Future work should focus on sharing lessons learned and creating reusable tools to facilitate participation of heterogeneous trial sites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07563-y. BioMed Central 2023-09-01 /pmc/articles/PMC10474626/ /pubmed/37658391 http://dx.doi.org/10.1186/s13063-023-07563-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Commentary
Raman, Sudha R.
Qualls, Laura G.
Hammill, Bradley G.
Nelson, Adam J.
Nilles, Ester Kim
Marsolo, Keith
O’Brien, Emily C.
Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
title Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
title_full Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
title_fullStr Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
title_full_unstemmed Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
title_short Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial
title_sort optimizing data integration in trials that use ehr data: lessons learned from a multi-center randomized clinical trial
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474626/
https://www.ncbi.nlm.nih.gov/pubmed/37658391
http://dx.doi.org/10.1186/s13063-023-07563-y
work_keys_str_mv AT ramansudhar optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial
AT quallslaurag optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial
AT hammillbradleyg optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial
AT nelsonadamj optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial
AT nillesesterkim optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial
AT marsolokeith optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial
AT obrienemilyc optimizingdataintegrationintrialsthatuseehrdatalessonslearnedfromamulticenterrandomizedclinicaltrial