Cargando…

The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study

BACKGROUND: The electronic health record (EHR) contains a wealth of clinical data that may be used to streamline the identification of potential clinical trial participants. However, there is little empirical information on site-level facilitators of and barriers to optimal use of EHR systems with r...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Brien, Emily C., Raman, Sudha R., Ellis, Alicia, Hammill, Bradley G., Berdan, Lisa G., Rorick, Tyrus, Janmohamed, Salim, Lampron, Zachary, Hernandez, Adrian F., Curtis, Lesley H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287813/
https://www.ncbi.nlm.nih.gov/pubmed/34281607
http://dx.doi.org/10.1186/s13063-021-05397-0
_version_ 1783723980650184704
author O’Brien, Emily C.
Raman, Sudha R.
Ellis, Alicia
Hammill, Bradley G.
Berdan, Lisa G.
Rorick, Tyrus
Janmohamed, Salim
Lampron, Zachary
Hernandez, Adrian F.
Curtis, Lesley H.
author_facet O’Brien, Emily C.
Raman, Sudha R.
Ellis, Alicia
Hammill, Bradley G.
Berdan, Lisa G.
Rorick, Tyrus
Janmohamed, Salim
Lampron, Zachary
Hernandez, Adrian F.
Curtis, Lesley H.
author_sort O’Brien, Emily C.
collection PubMed
description BACKGROUND: The electronic health record (EHR) contains a wealth of clinical data that may be used to streamline the identification of potential clinical trial participants. However, there is little empirical information on site-level facilitators of and barriers to optimal use of EHR systems with respect to trial recruitment. METHODS: We conducted qualitative focus groups and quantitative surveys as part of the EHR Ancillary Study, which is being conducted alongside the multicenter, global, Harmony Outcomes Trial comparing albiglutide to standard care for the prevention of cardiovascular events in type 2 diabetes. Subject matter experts used findings from focus groups to draft a 20-question survey examining the use of the EHR for participant identification, common site recruitment strategies, and variation in perceived barriers to optimal use of the EHR. The final survey was fielded with 446 site investigators actively enrolling participants in the main trial. RESULTS: Nearly two-thirds of respondents were study coordinators (63.2%), 23.1% were principal investigators, and 13.7% held other research roles. Approximately half of the respondents reported using the EHR to find potential trial participants. Of these, 79.4% reported using EHR searches in conjunction with other recruitment methods, including reviewing of upcoming clinic schedules (75.3%) and contacting past trial participants (71.2%). Important barriers to optimal use of the EHR included the lack of availability of certain research-focused EHR modules and limitations on the ability to contact patients cared for by other providers. Of survey respondents who did not use the EHR to find potential participants, one-quarter reported that the EHR was not accessible in their country; this finding varied from 2.6% of respondents in North America to 50% of respondents in the Asia Pacific. CONCLUSIONS: While EHR screening was commonly used for recruitment in a cardiovascular outcomes trial, important technical, governance, and regulatory barriers persist. Multifaceted, scalable, and customizable strategies are needed to support the optimal use of the EHR for trial participant identification. TRIAL REGISTRATION: ClinicalTrials.gov NCT02465515. Registered on 8 June 2015 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-021-05397-0.
format Online
Article
Text
id pubmed-8287813
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-82878132021-07-20 The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study O’Brien, Emily C. Raman, Sudha R. Ellis, Alicia Hammill, Bradley G. Berdan, Lisa G. Rorick, Tyrus Janmohamed, Salim Lampron, Zachary Hernandez, Adrian F. Curtis, Lesley H. Trials Research BACKGROUND: The electronic health record (EHR) contains a wealth of clinical data that may be used to streamline the identification of potential clinical trial participants. However, there is little empirical information on site-level facilitators of and barriers to optimal use of EHR systems with respect to trial recruitment. METHODS: We conducted qualitative focus groups and quantitative surveys as part of the EHR Ancillary Study, which is being conducted alongside the multicenter, global, Harmony Outcomes Trial comparing albiglutide to standard care for the prevention of cardiovascular events in type 2 diabetes. Subject matter experts used findings from focus groups to draft a 20-question survey examining the use of the EHR for participant identification, common site recruitment strategies, and variation in perceived barriers to optimal use of the EHR. The final survey was fielded with 446 site investigators actively enrolling participants in the main trial. RESULTS: Nearly two-thirds of respondents were study coordinators (63.2%), 23.1% were principal investigators, and 13.7% held other research roles. Approximately half of the respondents reported using the EHR to find potential trial participants. Of these, 79.4% reported using EHR searches in conjunction with other recruitment methods, including reviewing of upcoming clinic schedules (75.3%) and contacting past trial participants (71.2%). Important barriers to optimal use of the EHR included the lack of availability of certain research-focused EHR modules and limitations on the ability to contact patients cared for by other providers. Of survey respondents who did not use the EHR to find potential participants, one-quarter reported that the EHR was not accessible in their country; this finding varied from 2.6% of respondents in North America to 50% of respondents in the Asia Pacific. CONCLUSIONS: While EHR screening was commonly used for recruitment in a cardiovascular outcomes trial, important technical, governance, and regulatory barriers persist. Multifaceted, scalable, and customizable strategies are needed to support the optimal use of the EHR for trial participant identification. TRIAL REGISTRATION: ClinicalTrials.gov NCT02465515. Registered on 8 June 2015 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-021-05397-0. BioMed Central 2021-07-19 /pmc/articles/PMC8287813/ /pubmed/34281607 http://dx.doi.org/10.1186/s13063-021-05397-0 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
O’Brien, Emily C.
Raman, Sudha R.
Ellis, Alicia
Hammill, Bradley G.
Berdan, Lisa G.
Rorick, Tyrus
Janmohamed, Salim
Lampron, Zachary
Hernandez, Adrian F.
Curtis, Lesley H.
The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
title The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
title_full The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
title_fullStr The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
title_full_unstemmed The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
title_short The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study
title_sort use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the harmony outcomes electronic health record ancillary study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287813/
https://www.ncbi.nlm.nih.gov/pubmed/34281607
http://dx.doi.org/10.1186/s13063-021-05397-0
work_keys_str_mv AT obrienemilyc theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT ramansudhar theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT ellisalicia theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT hammillbradleyg theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT berdanlisag theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT roricktyrus theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT janmohamedsalim theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT lampronzachary theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT hernandezadrianf theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT curtislesleyh theuseofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT obrienemilyc useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT ramansudhar useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT ellisalicia useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT hammillbradleyg useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT berdanlisag useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT roricktyrus useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT janmohamedsalim useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT lampronzachary useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT hernandezadrianf useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy
AT curtislesleyh useofelectronichealthrecordsforrecruitmentinclinicaltrialsamixedmethodsanalysisoftheharmonyoutcomeselectronichealthrecordancillarystudy