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Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis

BACKGROUND: There is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared electronic recruitment methods to in-person recruitme...

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Autores principales: Bennett, Wendy L, Bramante, Carolyn T, Rothenberger, Scott D, Kraschnewski, Jennifer L, Herring, Sharon J, Lent, Michelle R, Clark, Jeanne M, Conroy, Molly B, Lehmann, Harold, Cappella, Nickie, Gauvey-Kern, Megan, McCullough, Jody, McTigue, Kathleen M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193474/
https://www.ncbi.nlm.nih.gov/pubmed/34042604
http://dx.doi.org/10.2196/24003
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author Bennett, Wendy L
Bramante, Carolyn T
Rothenberger, Scott D
Kraschnewski, Jennifer L
Herring, Sharon J
Lent, Michelle R
Clark, Jeanne M
Conroy, Molly B
Lehmann, Harold
Cappella, Nickie
Gauvey-Kern, Megan
McCullough, Jody
McTigue, Kathleen M
author_facet Bennett, Wendy L
Bramante, Carolyn T
Rothenberger, Scott D
Kraschnewski, Jennifer L
Herring, Sharon J
Lent, Michelle R
Clark, Jeanne M
Conroy, Molly B
Lehmann, Harold
Cappella, Nickie
Gauvey-Kern, Megan
McCullough, Jody
McTigue, Kathleen M
author_sort Bennett, Wendy L
collection PubMed
description BACKGROUND: There is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared electronic recruitment methods to in-person recruitment, particularly across health systems. OBJECTIVE: The objective of this study was to describe the steps and efficiency of the recruitment process and participant characteristics by recruitment strategy. METHODS: EHR-based eligibility criteria included being an adult patient engaged in outpatient primary or bariatric surgery care at one of 5 health systems in the PaTH Clinical Research Network and having ≥2 weight measurements and 1 height measurement recorded in their EHR within the last 5 years. Recruitment strategies varied by site and included one or more of the following methods: (1) in-person recruitment by study staff from clinical sites, (2) US postal mail recruitment letters, (3) secure email, and (4) direct EHR recruitment through secure patient web portals. We used descriptive statistics to evaluate participant characteristics and proportion of patients recruited (ie, efficiency) by modality. RESULTS: The total number of eligible patients from the 5 health systems was 5,051,187. Of these, 40,048 (0.8%) were invited to enter an EHR-based cohort study and 1085 were enrolled. Recruitment efficiency was highest for in-person recruitment (33.5%), followed by electronic messaging (2.9%), including email (2.9%) and EHR patient portal messages (2.9%). Overall, 779 (65.7%) patients were enrolled through electronic messaging, which also showed greater rates of recruitment of Black patients compared with the other strategies. CONCLUSIONS: We recruited a total of 1085 patients from primary care and bariatric surgery settings using 4 recruitment strategies. The recruitment efficiency was 2.9% for email and EHR patient portals, with the majority of participants recruited electronically. This study can inform the design of future research studies using EHR-based recruitment.
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spelling pubmed-81934742021-06-28 Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis Bennett, Wendy L Bramante, Carolyn T Rothenberger, Scott D Kraschnewski, Jennifer L Herring, Sharon J Lent, Michelle R Clark, Jeanne M Conroy, Molly B Lehmann, Harold Cappella, Nickie Gauvey-Kern, Megan McCullough, Jody McTigue, Kathleen M J Med Internet Res Original Paper BACKGROUND: There is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared electronic recruitment methods to in-person recruitment, particularly across health systems. OBJECTIVE: The objective of this study was to describe the steps and efficiency of the recruitment process and participant characteristics by recruitment strategy. METHODS: EHR-based eligibility criteria included being an adult patient engaged in outpatient primary or bariatric surgery care at one of 5 health systems in the PaTH Clinical Research Network and having ≥2 weight measurements and 1 height measurement recorded in their EHR within the last 5 years. Recruitment strategies varied by site and included one or more of the following methods: (1) in-person recruitment by study staff from clinical sites, (2) US postal mail recruitment letters, (3) secure email, and (4) direct EHR recruitment through secure patient web portals. We used descriptive statistics to evaluate participant characteristics and proportion of patients recruited (ie, efficiency) by modality. RESULTS: The total number of eligible patients from the 5 health systems was 5,051,187. Of these, 40,048 (0.8%) were invited to enter an EHR-based cohort study and 1085 were enrolled. Recruitment efficiency was highest for in-person recruitment (33.5%), followed by electronic messaging (2.9%), including email (2.9%) and EHR patient portal messages (2.9%). Overall, 779 (65.7%) patients were enrolled through electronic messaging, which also showed greater rates of recruitment of Black patients compared with the other strategies. CONCLUSIONS: We recruited a total of 1085 patients from primary care and bariatric surgery settings using 4 recruitment strategies. The recruitment efficiency was 2.9% for email and EHR patient portals, with the majority of participants recruited electronically. This study can inform the design of future research studies using EHR-based recruitment. JMIR Publications 2021-05-27 /pmc/articles/PMC8193474/ /pubmed/34042604 http://dx.doi.org/10.2196/24003 Text en ©Wendy L Bennett, Carolyn T Bramante, Scott D Rothenberger, Jennifer L Kraschnewski, Sharon J Herring, Michelle R Lent, Jeanne M Clark, Molly B Conroy, Harold Lehmann, Nickie Cappella, Megan Gauvey-Kern, Jody McCullough, Kathleen M McTigue. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 27.05.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Bennett, Wendy L
Bramante, Carolyn T
Rothenberger, Scott D
Kraschnewski, Jennifer L
Herring, Sharon J
Lent, Michelle R
Clark, Jeanne M
Conroy, Molly B
Lehmann, Harold
Cappella, Nickie
Gauvey-Kern, Megan
McCullough, Jody
McTigue, Kathleen M
Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis
title Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis
title_full Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis
title_fullStr Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis
title_full_unstemmed Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis
title_short Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis
title_sort patient recruitment into a multicenter clinical cohort linking electronic health records from 5 health systems: cross-sectional analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193474/
https://www.ncbi.nlm.nih.gov/pubmed/34042604
http://dx.doi.org/10.2196/24003
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