NHLBI Research Participant Recruitment Registry

Author(s):  
2009 ◽  
Vol 13 (2) ◽  
pp. 352-360 ◽  
Author(s):  
Michele G. Shedlin ◽  
Carlos U. Decena ◽  
Thenral Mangadu ◽  
Angela Martinez

2020 ◽  
Author(s):  
Naaliah Parbhoo-Ebrahim ◽  
◽  
Ina Fourie ◽  

Introduction. Research participant recruitment is challenging – especially in vulnerable, stigmatised, high security, poorly demarcated contexts and contexts with diverse and interchangeable job labelling and poorly centralised reporting infrastructures. Cold case investigators in South Africa is an example of the latter. Method. Scoping literature review of information behaviour and other disciplines to note challenges and solutions in research participant recruitment. Analysis. Brief review of challenges noted in research methodology textbooks and applied thematic analysis mapped to problems and correlating solutions for research participant recruitment (various disciplines including information behaviour). Results. There are many challenges and solutions noted across disciplines including information behaviour e.g. job confidentiality, poor context demarcation, diverse and interchangeable job labels for the same context. Solutions reported include exploring related job/role labels, snowball sampling, non-intrusive social media methods. Conclusion. Based on experience with information search heuristics we suggest an additional novel approach for information behaviour research (and other) participant recruitment; a South African cold case investigator information behaviour study serves as exemplar to demonstrate how search heuristics can be used to identify potential research participants and solicit referrals for research participant recruitment.


10.2196/11166 ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. e11166 ◽  
Author(s):  
Eleanor Ladd Schneider Leavens ◽  
Elise Marie Stevens ◽  
Emma Irene Brett ◽  
Neil Molina ◽  
Thad Ryan Leffingwell ◽  
...  

2021 ◽  
pp. 174077452110110
Author(s):  
Charlene A Wong ◽  
William B Song ◽  
Megan Jiao ◽  
Emily O’Brien ◽  
Peter Ubel ◽  
...  

Background: Research participant engagement, which we define as recruitment and retention in clinical trials, is a costly and challenging issue in clinical research. Research teams have leveraged a variety of strategies to increase research participant engagement in clinical trials, although a framework and evidence for effective participant engagement strategies are lacking. We (1) developed a novel conceptual framework for strategies used to recruit and retain participants in clinical trials based on their underlying behavioral principles and (2) categorized empirically tested recruitment and retention strategies in this novel framework. Methods: We conducted a synthetic analysis of interventions tested in studies from two Cochrane reviews on clinical trial recruitment and retention, which included studies from 1986 to 2015. We developed a conceptual framework of behavioral strategies for increasing research participant engagement using deductive and inductive approaches with the studies included in the Cochrane reviews. Reviewed interventions were then categorized using this framework. We examined the results of reviewed interventions and categorized the effects on clinical trial recruitment and retention as significantly positive, null, or significantly negative; summary statistics are presented for the frequency and effects of each behavioral strategy type. Results: We analyzed 141 unique interventions across 96 studies: 91 interventions targeted clinical trial research participant recruitment and 50 targeted retention. Our framework included 14 behavioral strategies to improve research participant engagement grouped into four general approaches: changing attitudes by appealing to social motivators, changing attitudes by targeting individual psychology, reducing barriers and cognitive burdens, and providing incentives. The majority of interventions (54%) aimed to reduce barriers or cognitive burdens, with improving comprehension (27%) as the most common specific strategy identified. For recruitment, the most common behavioral strategies tested were building legitimacy or trust (38%) and framing risks and benefits (32%), while financial or material incentives (32%) and reducing financial, time, and social barriers (32%) were most common for retention interventions. Among interventions tested in randomized controlled trials, 51% had a null effect on research participant engagement, and 30% had a statistically significant positive effect. Discussion: Clinical researchers have tested a wide range of interventions that leverage distinct behavioral strategies to achieve improved research participant recruitment and retention. Common behavioral strategies include building legitimacy or trust between research teams and participants, as well as improving participant comprehension of trial objectives and procedures. The high frequency of null effects among tested interventions suggests challenges in selecting the optimal interventions for increasing research participant engagement, although the proposed behavioral strategy categories can serve as a conceptual framework for developing and testing future interventions.


2018 ◽  
Vol 2 (4) ◽  
pp. 249-252
Author(s):  
Andrew L. Sussman ◽  
Carla Cordova ◽  
Mark R. Burge

Recruitment and engagement for clinical and translational research is challenging, especially among medically underserved and ethnic or racial minority populations. We present a comprehensive model developed through the Clinical and Translational Science Center at the University of New Mexico (UNM) Health Sciences Center that addresses 3 critical aspects of participant recruitment. The components of the model are: (1) Recruitment from within UNM to UNM-centered studies, (2) recruitment from within UNM to community-based studies, and (3) recruitment from outside UNM to UNM-centered studies. This model has increased research participant recruitment, especially among medically underserved populations, and offers generalizable translational solutions to common clinical and translational research challenges, especially in settings with similar demographic and geographic characteristics.


2020 ◽  
Author(s):  
Rachel Pozzar ◽  
Marilyn J Hammer ◽  
Meghan Underhill-Blazey ◽  
Alexi A Wright ◽  
James A Tulsky ◽  
...  

BACKGROUND Recruitment of health research participants through social media is becoming more common. In the United States, 80% of adults use at least one social media platform. Social media platforms may allow researchers to reach potential participants efficiently. However, online research methods may be associated with unique threats to sample validity and data integrity. Limited research has described issues of data quality and authenticity associated with the recruitment of health research participants through social media, and sources of low-quality and fraudulent data in this context are poorly understood. OBJECTIVE The goal of the research was to describe and explain threats to sample validity and data integrity following recruitment of health research participants through social media and summarize recommended strategies to mitigate these threats. Our experience designing and implementing a research study using social media recruitment and online data collection serves as a case study. METHODS Using published strategies to preserve data integrity, we recruited participants to complete an online survey through the social media platforms Twitter and Facebook. Participants were to receive $15 upon survey completion. Prior to manually issuing remuneration, we reviewed completed surveys for indicators of fraudulent or low-quality data. Indicators attributable to respondent error were labeled suspicious, while those suggesting misrepresentation were labeled fraudulent. We planned to remove cases with 1 fraudulent indicator or at least 3 suspicious indicators. RESULTS Within 7 hours of survey activation, we received 271 completed surveys. We classified 94.5% (256/271) of cases as fraudulent and 5.5% (15/271) as suspicious. In total, 86.7% (235/271) provided inconsistent responses to verifiable items and 16.2% (44/271) exhibited evidence of bot automation. Of the fraudulent cases, 53.9% (138/256) provided a duplicate or unusual response to one or more open-ended items and 52.0% (133/256) exhibited evidence of inattention. CONCLUSIONS Research findings from several disciplines suggest studies in which research participants are recruited through social media are susceptible to data quality issues. Opportunistic individuals who use virtual private servers to fraudulently complete research surveys for profit may contribute to low-quality data. Strategies to preserve data integrity following research participant recruitment through social media are limited. Development and testing of novel strategies to prevent and detect fraud is a research priority.


Spine ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jack D. Watson ◽  
Paul B. Perrin ◽  
Scott D. McDonald ◽  
Carmen M. Tyler ◽  
Julian Burke ◽  
...  

2020 ◽  
Vol 3 ◽  
Author(s):  
Peng Zhang ◽  
Chris Downs ◽  
Nguyen Thanh Uyen Le ◽  
Cory Martin ◽  
Paul Shoemaker ◽  
...  

10.2196/23021 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e23021 ◽  
Author(s):  
Rachel Pozzar ◽  
Marilyn J Hammer ◽  
Meghan Underhill-Blazey ◽  
Alexi A Wright ◽  
James A Tulsky ◽  
...  

Background Recruitment of health research participants through social media is becoming more common. In the United States, 80% of adults use at least one social media platform. Social media platforms may allow researchers to reach potential participants efficiently. However, online research methods may be associated with unique threats to sample validity and data integrity. Limited research has described issues of data quality and authenticity associated with the recruitment of health research participants through social media, and sources of low-quality and fraudulent data in this context are poorly understood. Objective The goal of the research was to describe and explain threats to sample validity and data integrity following recruitment of health research participants through social media and summarize recommended strategies to mitigate these threats. Our experience designing and implementing a research study using social media recruitment and online data collection serves as a case study. Methods Using published strategies to preserve data integrity, we recruited participants to complete an online survey through the social media platforms Twitter and Facebook. Participants were to receive $15 upon survey completion. Prior to manually issuing remuneration, we reviewed completed surveys for indicators of fraudulent or low-quality data. Indicators attributable to respondent error were labeled suspicious, while those suggesting misrepresentation were labeled fraudulent. We planned to remove cases with 1 fraudulent indicator or at least 3 suspicious indicators. Results Within 7 hours of survey activation, we received 271 completed surveys. We classified 94.5% (256/271) of cases as fraudulent and 5.5% (15/271) as suspicious. In total, 86.7% (235/271) provided inconsistent responses to verifiable items and 16.2% (44/271) exhibited evidence of bot automation. Of the fraudulent cases, 53.9% (138/256) provided a duplicate or unusual response to one or more open-ended items and 52.0% (133/256) exhibited evidence of inattention. Conclusions Research findings from several disciplines suggest studies in which research participants are recruited through social media are susceptible to data quality issues. Opportunistic individuals who use virtual private servers to fraudulently complete research surveys for profit may contribute to low-quality data. Strategies to preserve data integrity following research participant recruitment through social media are limited. Development and testing of novel strategies to prevent and detect fraud is a research priority.


Sign in / Sign up

Export Citation Format

Share Document