TY - JOUR
T1 - A practical do-it-yourself recruitment framework for concurrent eHealth clinical trials
T2 - Identification of efficient and cost-effective methods for decision making (part 2)
AU - Lattie, Emily G.
AU - Kaiser, Susan M.
AU - Alam, Nameyeh
AU - Tomasino, Kathryn N.
AU - Sargent, Elizabeth
AU - Rubanovich, Caryn Kseniya
AU - Palac, Hannah L.
AU - Mohr, David C.
N1 - Funding Information:
The intervention studies included in this paper were supported by research grants from the National Institute of Mental Health (P20 MH090318; R01 MH095753; R01 MH100482) to DCM, and EGL is supported by a research grant K08 MH112878 from the National Institute of Mental Health. Recruitment methods cited in this paper included use of ResearchMatch, a national health volunteer registry supported by the National Institutes of Health as part of the Clinical Translational Science Award program that is funded by grants UL1TR000445, U24TR00157 9, and 5 U24 TR001579-02 and the Aging Research Registry, a database of approximately older people in the Chicagoland area who have expressed a willingness to participate in research studies on the provision of care to aging patients and that was created and is supported by Northwestern University’s Buehler Center on Aging, Health, and Society. The authors wish to thank the volunteers who have participated in research through the Center for Behavioral Intervention Technologies.
Publisher Copyright:
© 2018 Journal of Medical Internet Research. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Background: The ability to successfully recruit participants for electronic health (eHealth) clinical trials is largely dependent on the use of efficient and effective recruitment strategies. Determining which types of recruitment strategies to use presents a challenge for many researchers. Objective: The aim of this study was to present an analysis of the time-efficiency and cost-effectiveness of recruitment strategies for eHealth clinical trials, and it describes a framework for cost-effective trial recruitment. Methods: Participants were recruited for one of 5 eHealth trials of interventions for common mental health conditions. A multipronged recruitment approach was used, including digital (eg, social media and Craigslist), research registry-based, print (eg, flyers and posters on public transportation), clinic-based (eg, a general internal medicine clinic within an academic medical center and a large nonprofit health care organization), a market research recruitment firm, and traditional media strategies (eg, newspaper and television coverage in response to press releases). The time costs and fees for each recruitment method were calculated, and the participant yield on recruitment costs was calculated by dividing the number of enrolled participants by the total cost for each method. Results: A total of 777 participants were enrolled across all trials. Digital recruitment strategies yielded the largest number of participants across the 5 clinical trials and represented 34.0% (264/777) of the total enrolled participants. Registry-based recruitment strategies were in second place by enrolling 28.0% (217/777) of the total enrolled participants across trials. Research registry-based recruitment had a relatively high conversion rate from potential participants who contacted our center for being screened to be enrolled, and it was also the most cost-effective for enrolling participants in this set of clinical trials with a total cost per person enrolled at US $8.99. Conclusions: On the basis of these results, a framework is proposed for participant recruitment. To make decisions on initiating and maintaining different types of recruitment strategies, the resources available and requirements of the research study (or studies) need to be carefully examined.
AB - Background: The ability to successfully recruit participants for electronic health (eHealth) clinical trials is largely dependent on the use of efficient and effective recruitment strategies. Determining which types of recruitment strategies to use presents a challenge for many researchers. Objective: The aim of this study was to present an analysis of the time-efficiency and cost-effectiveness of recruitment strategies for eHealth clinical trials, and it describes a framework for cost-effective trial recruitment. Methods: Participants were recruited for one of 5 eHealth trials of interventions for common mental health conditions. A multipronged recruitment approach was used, including digital (eg, social media and Craigslist), research registry-based, print (eg, flyers and posters on public transportation), clinic-based (eg, a general internal medicine clinic within an academic medical center and a large nonprofit health care organization), a market research recruitment firm, and traditional media strategies (eg, newspaper and television coverage in response to press releases). The time costs and fees for each recruitment method were calculated, and the participant yield on recruitment costs was calculated by dividing the number of enrolled participants by the total cost for each method. Results: A total of 777 participants were enrolled across all trials. Digital recruitment strategies yielded the largest number of participants across the 5 clinical trials and represented 34.0% (264/777) of the total enrolled participants. Registry-based recruitment strategies were in second place by enrolling 28.0% (217/777) of the total enrolled participants across trials. Research registry-based recruitment had a relatively high conversion rate from potential participants who contacted our center for being screened to be enrolled, and it was also the most cost-effective for enrolling participants in this set of clinical trials with a total cost per person enrolled at US $8.99. Conclusions: On the basis of these results, a framework is proposed for participant recruitment. To make decisions on initiating and maintaining different types of recruitment strategies, the resources available and requirements of the research study (or studies) need to be carefully examined.
KW - EHealth
KW - MHealth
KW - Mental health
KW - Recruitment
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UR - http://www.scopus.com/inward/citedby.url?scp=85056506849&partnerID=8YFLogxK
U2 - 10.2196/11050
DO - 10.2196/11050
M3 - Article
C2 - 30497997
AN - SCOPUS:85056506849
VL - 20
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
SN - 1439-4456
IS - 11
M1 - e11050
ER -