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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9549481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
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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