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“And then I found $5”: Optimizing recruitment efficiency in remote clinical trials
INTRODUCTION: As clinical trials adopt remote methodologies, there is need to optimize efficiency of remote enrollment. Within a remote clinical trial, we aim to (1) assess if sociodemographic factors differ among those consenting via mail vs. technology-based procedures (e-consent), (2) determine i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225265/ https://www.ncbi.nlm.nih.gov/pubmed/37250999 http://dx.doi.org/10.1017/cts.2023.533 |
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author | Fahey, Margaret C. Dahne, Jennifer Chen, Brian K. Smith, Tracy T. Wahlquist, Amy E. Carpenter, Mathew J. |
author_facet | Fahey, Margaret C. Dahne, Jennifer Chen, Brian K. Smith, Tracy T. Wahlquist, Amy E. Carpenter, Mathew J. |
author_sort | Fahey, Margaret C. |
collection | PubMed |
description | INTRODUCTION: As clinical trials adopt remote methodologies, there is need to optimize efficiency of remote enrollment. Within a remote clinical trial, we aim to (1) assess if sociodemographic factors differ among those consenting via mail vs. technology-based procedures (e-consent), (2) determine if, among those consenting via mail, a small unconditional monetary reward ($5) increases likelihood of subsequent enrollment, (3) economically evaluate additional cost per additional participant enrolled with $5 reward. METHODS: In the parent nationwide randomized clinical trial of adult smokers (N = 638), participants could enroll via mail or e-consent. Logistic regression models assessed relationships between sociodemographics and enrollment via mail (vs e-consent). Mailed consent packets were randomized (1:4) to include $5 unconditional reward or not, and logistic regression modeling examined impact of reward on subsequent enrollment, allowing for a randomized study within a study. Incremental cost-effectiveness ratio analysis estimated additional cost per additional participant enrolled with $5 incentive. RESULTS: Older age, less education, lower income, and female sex predicted enrolling via mail vs e-consent (p < .05’s). In adjusted model, older age (AOR = 1.02, p = .016) and less education (AOR = 2.23, p < .001) remained predictive of mail enrollment. The $5 incentive (vs none) increased enrollment rate by 9% (AOR = 1.64, p = .007), with estimated cost of additional $59 per additional participant enrolled. CONCLUSIONS: As e-consent methods become more common, they have potential to reach many individuals but with perhaps diminished inclusion across all sociodemographic groups. Provision of an unconditional monetary incentive is possibly a cost-effective mechanism to increase recruitment efficiency for studies employing mail-based consenting procedures. |
format | Online Article Text |
id | pubmed-10225265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102252652023-05-29 “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials Fahey, Margaret C. Dahne, Jennifer Chen, Brian K. Smith, Tracy T. Wahlquist, Amy E. Carpenter, Mathew J. J Clin Transl Sci Research Article INTRODUCTION: As clinical trials adopt remote methodologies, there is need to optimize efficiency of remote enrollment. Within a remote clinical trial, we aim to (1) assess if sociodemographic factors differ among those consenting via mail vs. technology-based procedures (e-consent), (2) determine if, among those consenting via mail, a small unconditional monetary reward ($5) increases likelihood of subsequent enrollment, (3) economically evaluate additional cost per additional participant enrolled with $5 reward. METHODS: In the parent nationwide randomized clinical trial of adult smokers (N = 638), participants could enroll via mail or e-consent. Logistic regression models assessed relationships between sociodemographics and enrollment via mail (vs e-consent). Mailed consent packets were randomized (1:4) to include $5 unconditional reward or not, and logistic regression modeling examined impact of reward on subsequent enrollment, allowing for a randomized study within a study. Incremental cost-effectiveness ratio analysis estimated additional cost per additional participant enrolled with $5 incentive. RESULTS: Older age, less education, lower income, and female sex predicted enrolling via mail vs e-consent (p < .05’s). In adjusted model, older age (AOR = 1.02, p = .016) and less education (AOR = 2.23, p < .001) remained predictive of mail enrollment. The $5 incentive (vs none) increased enrollment rate by 9% (AOR = 1.64, p = .007), with estimated cost of additional $59 per additional participant enrolled. CONCLUSIONS: As e-consent methods become more common, they have potential to reach many individuals but with perhaps diminished inclusion across all sociodemographic groups. Provision of an unconditional monetary incentive is possibly a cost-effective mechanism to increase recruitment efficiency for studies employing mail-based consenting procedures. Cambridge University Press 2023-04-20 /pmc/articles/PMC10225265/ /pubmed/37250999 http://dx.doi.org/10.1017/cts.2023.533 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Fahey, Margaret C. Dahne, Jennifer Chen, Brian K. Smith, Tracy T. Wahlquist, Amy E. Carpenter, Mathew J. “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials |
title | “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials |
title_full | “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials |
title_fullStr | “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials |
title_full_unstemmed | “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials |
title_short | “And then I found $5”: Optimizing recruitment efficiency in remote clinical trials |
title_sort | “and then i found $5”: optimizing recruitment efficiency in remote clinical trials |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225265/ https://www.ncbi.nlm.nih.gov/pubmed/37250999 http://dx.doi.org/10.1017/cts.2023.533 |
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