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Selecting EHR-driven recruitment strategies: An evidence-based decision guide

Participant recruitment for research is a persistent bottleneck that can be improved by leveraging electronic health records (EHRs). Despite emerging evidence for various EHR-driven approaches, guidance for those attempting to select and use such approaches is limited. The national Recruitment Innov...

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Detalles Bibliográficos
Autores principales: Grout, Randall W., Hood, Dan, Nelson, Sarah J., Harris, Paul A., Embí, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549481/
https://www.ncbi.nlm.nih.gov/pubmed/36285016
http://dx.doi.org/10.1017/cts.2022.439
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author Grout, Randall W.
Hood, Dan
Nelson, Sarah J.
Harris, Paul A.
Embí, Peter J.
author_facet Grout, Randall W.
Hood, Dan
Nelson, Sarah J.
Harris, Paul A.
Embí, Peter J.
author_sort Grout, Randall W.
collection PubMed
description Participant recruitment for research is a persistent bottleneck that can be improved by leveraging electronic health records (EHRs). Despite emerging evidence for various EHR-driven approaches, guidance for those attempting to select and use such approaches is limited. The national Recruitment Innovation Center established the EHR Recruitment Consult Resource (ERCR) service line to support multisite studies through implementation of EHR-driven recruitment strategies. As the ERCR, we evolved a guide through 17 consultations over 3 years with multisite studies recruiting in diverse biomedical research domains. We assessed literature and engaged domain experts to identify five key EHR-driven recruitment strategies: direct to patient messages, candidate lists for mailings/calls, direct to research alerts, point of care alerts, and participant registries. Differentiating factors were grouped into factors of study population, study protocol and recruitment workflows, and recruitment site capabilities. The decision matrix indicates acceptable or preferred strategies based on the differentiating factors. Across the ERCR consultations, candidate lists for mailing or calls were most common, participant registries were least frequently recommended, and for some studies no EHR-driven recruitment was recommended. Comparative effectiveness research is needed to refine further evidence for these and potentially new strategies to come.
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spelling pubmed-95494812022-10-24 Selecting EHR-driven recruitment strategies: An evidence-based decision guide Grout, Randall W. Hood, Dan Nelson, Sarah J. Harris, Paul A. Embí, Peter J. J Clin Transl Sci Special Communications Participant recruitment for research is a persistent bottleneck that can be improved by leveraging electronic health records (EHRs). Despite emerging evidence for various EHR-driven approaches, guidance for those attempting to select and use such approaches is limited. The national Recruitment Innovation Center established the EHR Recruitment Consult Resource (ERCR) service line to support multisite studies through implementation of EHR-driven recruitment strategies. As the ERCR, we evolved a guide through 17 consultations over 3 years with multisite studies recruiting in diverse biomedical research domains. We assessed literature and engaged domain experts to identify five key EHR-driven recruitment strategies: direct to patient messages, candidate lists for mailings/calls, direct to research alerts, point of care alerts, and participant registries. Differentiating factors were grouped into factors of study population, study protocol and recruitment workflows, and recruitment site capabilities. The decision matrix indicates acceptable or preferred strategies based on the differentiating factors. Across the ERCR consultations, candidate lists for mailing or calls were most common, participant registries were least frequently recommended, and for some studies no EHR-driven recruitment was recommended. Comparative effectiveness research is needed to refine further evidence for these and potentially new strategies to come. Cambridge University Press 2022-08-08 /pmc/articles/PMC9549481/ /pubmed/36285016 http://dx.doi.org/10.1017/cts.2022.439 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Communications
Grout, Randall W.
Hood, Dan
Nelson, Sarah J.
Harris, Paul A.
Embí, Peter J.
Selecting EHR-driven recruitment strategies: An evidence-based decision guide
title Selecting EHR-driven recruitment strategies: An evidence-based decision guide
title_full Selecting EHR-driven recruitment strategies: An evidence-based decision guide
title_fullStr Selecting EHR-driven recruitment strategies: An evidence-based decision guide
title_full_unstemmed Selecting EHR-driven recruitment strategies: An evidence-based decision guide
title_short Selecting EHR-driven recruitment strategies: An evidence-based decision guide
title_sort selecting ehr-driven recruitment strategies: an evidence-based decision guide
topic Special Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549481/
https://www.ncbi.nlm.nih.gov/pubmed/36285016
http://dx.doi.org/10.1017/cts.2022.439
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