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What we wish every investigator knew: Top 4 recruitment and retention recommendations from the Recruitment Innovation Center

Published online by Cambridge University Press:  28 February 2022

Sarah K. Cook*
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Nan Kennedy
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Leslie Boone
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Bethany Drury
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Casey Rodweller
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Mary Stroud
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Sarah J. Nelson
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Terri Edwards
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
Consuelo H. Wilkins
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA Department of Internal Medicine, Meharry Medical College, Nashville, TN, USA Office of Health Equity, Vanderbilt University Medical Center, Nashville, TN, USA
Paul Harris
Affiliation:
Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
*
Address for correspondence: S. K. Cook, MPH, Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 600, Nashville, TN 37203, USA. Email: [email protected]
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Abstract

Type
Perspective
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science

Worldwide, 90% of clinical trials suffer from slower-than-expected enrollment [1] and roughly one in five studies terminate early or settle for a smaller total sample size than desired [Reference Carlisle, Kimmelman, Ramsay and MacKinnon2]. Moreover, under-enrollment of racial and ethnic minority populations is endemic – the Food and Drug Administration reports that 75% of participants in drug therapeutic trials are white [3], while 40% of the US population identifies as a racial or ethnic minority [4]. Poor recruitment and retention performance are costly to researchers and sponsors and detrimental to public health when advances fail to materialize or do not benefit all [Reference Huang, Bull, Johnston McKee, Mahon, Harper and Roberts5].

The Recruitment Innovation Centre (RIC) [Reference Wilkins, Edwards and Stroud6], part of the Trial Innovation Network’s collaborative initiative within the Clinical and Translational Science Award (CTSA) Program, is tasked with addressing critical roadblocks in clinical research [Reference Harris, Taylor, Thielke, Payne, Gonzalez and Conde7]. The RIC consults with CTSA hubs and their research teams on strategies to increase clinical trial enrollment by developing, testing, and sharing innovations to enhance participant recruitment and retention. After 220 consultations with investigators nationwide, the RIC has compiled four primary recommendations for addressing common pitfalls in recruitment and retention (Fig. 1). These recommendations were determined by consensus among eight RIC consultants after evaluating common challenges described by investigators during their recruitment consultations.

Fig. 1. The top four recruitment and retention recommendations from the Recruitment Innovation Center.

Recommendations

Recommendation #1: Proactively assess recruitment and retention barriers and develop mitigation strategies

Investigators often fail to plan and prepare for recruitment and retention issues that can significantly impact the success of their clinical trial. Once embarked on recruitment, researchers can encounter unanticipated challenges. An important first step of any clinical trial is to proactively identify potential obstacles based on previous experience, trial-specific details, and characteristics of the target population. Once barriers have been ascertained, study teams should develop a remediation plan before beginning enrollment.

A risk assessment planner can be a helpful tool. The RIC-developed Risk Register [8] assists investigators to identify possible risks, appraises the likelihood that these risks will occur, and evaluates the potential impact on the trial. Study teams use this assessment to calculate a subjective “risk score” ranging from 2 to 10, with higher scores indicating greater risks to recruitment and retention. Risk scores can then be used to help prioritize decisions to mitigate barriers and minimize their impact. Table 1 illustrates potential barriers, associated risk scores, and recommended mitigation strategies for an example study.

Table 1. Examples of recruitment barriers, risk assessment, and mitigation strategies

Probability of Risk Occurring ranges from 1 (Rare) to 5 (Highly Probable); Impact of Risk ranges from 1 (Very low) to 5 (Very high); Calculated Risk Score ranges from 2–3 (Accept the risk), 4–6 (Mitigate the risk), 7–8 (Transfer the risk), to 9–10 (Avoid the risk).

In addition to proactively identifying risks, study teams should consider using the RIC-developed Recruitment and Retention Plan Template [8] to further delineate recruitment and retention strategies that can be used throughout the life of the trial.

Recommendation #2: Prioritize the participant journey: Minimizing burden and returning value

The needs and preferences of research participants are often overlooked or not fully considered when designing clinical trials. Unnecessarily burdensome study visits, inadequate reimbursement for costs of participating and not returning study results or other information of value to participants can contribute to lackluster study enrollment and high attrition. Strategies that focus on the participants include:

Clear, consistent, and timely communication. The manner and type of information shared with potential participants is critical to influencing participation. A clear plan for communicating study expectations during the enrollment phase and throughout study duration may ease anxiety about participation and demystify the trial experience. Study materials and communication should aim to be engaging and understandable across a wide range of literacy levels.

Adequate compensation. Study teams should compensate volunteers as a way of honoring the time and effort they are contributing to the study and help offset any costs to participating.

Reduction of participant burden. Study design and implementation may unintentionally create barriers that hinder participation. Researchers should map out the participant journey to identify unnecessary or overly burdensome procedures that can be minimized or eliminated.

Return of value for participation. Investigators should acknowledge volunteers’ contributions and provide value to research participants. This should go beyond participant compensation and could include an array of benefits, such as returning study findings to participants, connecting them with others in the same disease community [Reference Wilkins, Mapes, Jerome, Villalta-Gil, Pulley and Harris12], and acknowledging their contributions in manuscripts, presentations, and other dissemination activities.

Recommendation #3: Data-driven site selection

When selecting sites for a multicenter clinical trial, investigators often choose sites where there are known colleagues, previous collaborations, or other personal preferences. To locate the strongest sites, however, investigators should use an informed approach that utilizes multiple sources of both quantitative and qualitative data.

Investigators should evaluate the availability of the target population to be recruited at each site. Electronic health record (EHR) data can be analyzed to determine whether an appropriate volume of patients with the specified health condition exists at a potential site [Reference Nelson, Drury and Hood13]. Other data sources can be leveraged to assist in site identification and selection, including public health datasets and population-level data. Next, investigators should confirm each site possesses the resources and capacity to recruit and enroll the target participant demographics. These resources may include adequate effort allocation for research staff, proper equipment, and expertise in recruiting diverse populations.

Recruitment feasibility assessments for candidate sites should also include the evaluation of competing trials in similar medical domains. These trials may be vying for the same patient population or competing for a clinician’s time, staff, or site resources. Information from ClinicalTrials.gov [14], including details on study phase, expected enrollment dates, and participating sites, can be paired with site-reported patient estimates to help identify risks and proactively inform remediation strategies. This could include investigators collaborating with other study teams on recruitment strategies that might benefit both trials.

Recommendation #4: Engage stakeholders at every step for greater impact

Stakeholder engagement has long been encouraged in clinical trials to ensure study relevance, enhance recruitment and retention, and maximize the impact of results [Reference De las Nueces, Hacker, DiGirolamo and Hicks15]. Study teams, however, are often unaware of how best to engage key stakeholders or understand how doing so can contribute to their clinical trial in a meaningful way.

Research stakeholders are individuals, groups, and organizations that have a stake, interest, or could be affected by the conduct and results of a research study. These may include community members, patients, community-based organizations, and advocacy groups, as well as health care providers and clinicians. Research teams can involve key stakeholders in the planning, design, and implementation of their study by collecting and integrating their feedback [Reference Boyer, Fair and Joosten16]. Helpful methods may include:

Resources

Enrolling and retaining a sufficient, representative participant population for clinical trials can be challenging. The four primary recommendations presented in this paper represent a consensus of opinion among eight RIC consultants, gleaned from several years of consultation experience with study teams. A more detailed account of the RIC’s consultations, recruitment resource implementation, and resource evaluation plans has been previously reported on [Reference Wilkins, Edwards and Stroud6]. Investigators can obtain assistance in incorporating these recommendations by accessing free tools and resources on the TIN website, through their local CTSA liaisons, or by submitting a proposal request for a RIC consultation. Future evaluations of RIC resources will also be deposited in the TIN website for public access. Asking the right questions, documenting and prioritizing plans, following through, and monitoring and adjusting strategies as the study accrues participants is the most promising road to recruitment success.

Disclosures

The authors have no conflicts of interest to disclose.

References

Institute of Medicine (US) Forum on Drug Discovery D. The State of Clinical Research in the United States: An Overview. Washington, DC: National Academies Press, 2010.Google Scholar
Carlisle, B, Kimmelman, J, Ramsay, T, MacKinnon, N. Unsuccessful trial accrual and human subjects protections: an empirical analysis of recently closed trials. Clinical Trials 2015; 12(1): 7783. DOI 10.1177/1740774514558307.CrossRefGoogle ScholarPubMed
2020 Drug Trials Snapshots Summary Report. 2020: 15.Google Scholar
Huang, GD, Bull, J, Johnston McKee, K, Mahon, E, Harper, B, Roberts, JN. Clinical trials recruitment planning: a proposed framework from the Clinical Trials Transformation Initiative. Contemporary Clinical Trials 2018; 66: 7479. DOI 10.1016/j.cct.2018.01.003.CrossRefGoogle ScholarPubMed
Wilkins, CH, Edwards, TL, Stroud, M, et al. The Recruitment Innovation Center: developing novel, person-centered strategies for clinical trial recruitment and retention. Journal of Clinical and Translational Science 2021; 5(1): 35. DOI 10.1017/cts.2021.841.CrossRefGoogle ScholarPubMed
Harris, PA, Taylor, R, Thielke, R, Payne, J, Gonzalez, N, Conde, JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics 2009; 42: 377381.CrossRefGoogle ScholarPubMed
Recruitment & Retention Plan Template. Trial Innovation Network Toolkit. (https://trialinnovationnetwork.org/material-details/?ID=140).Google Scholar
Kusnoor, SV, Villalta-Gil, V, Michaels, M, et al. Design and implementation of a massive open online course on enhancing the recruitment of minorities in clinical trials - Faster Together. BMC Medical Research Methodology 2021; 21(1): 44. DOI 10.1186/s12874-021-01240-x.CrossRefGoogle ScholarPubMed
Harris, PA, Taylor, R, Minor, BL, et al. The REDCap consortium: building an international community of software platform partners. Journal of Biomedical Informatics 2019; 95: 103208.CrossRefGoogle ScholarPubMed
Bernard, GR, Harris, PA, Pulley, JM, et al. A collaborative, academic approach to optimizing the national clinical research infrastructure: the first year of the Trial Innovation Network. Journal of Clinical and Translational Science 2018; 2(4): 187192. https://dx.doi.org/10.1017%2Fcts.2018.319 CrossRefGoogle ScholarPubMed
Wilkins, CH, Mapes, BM, Jerome, RN, Villalta-Gil, V, Pulley, GM, Harris, PH. Understanding what information is valued by research participants, and why. Health Affairs 2019; 38(3): 399407. DOI 10.1377/hlthaff.2018.05046.CrossRefGoogle Scholar
Nelson, SJ, Drury, B, Hood, D, et al. EHR-based cohort assessment for multicenter RCTs: a fast and flexible model for identifying potential study sites. Journal of the American Medical Informatics Association 2021; 383(15): 1406. DOI 10.1093/jamia/ocab265.Google Scholar
ClinicalTrialsgov. NIH US National Library of Medicine. (https://clinicaltrials.gov/).Google Scholar
De las Nueces, D, Hacker, K, DiGirolamo, A, Hicks, LS. A systematic review of community-based participatory research to enhance clinical trials in racial and ethnic minority groups. Health Services Research 2012; 47(3 Pt 2): 13631386. DOI 10.1111/j.1475-6773.2012.01386.x.CrossRefGoogle ScholarPubMed
Boyer, AP, Fair, AM, Joosten, YJ, et al. A multi-level approach to stakeholder engagement in the formulation of a Clinical Data Research Network. Medical Care 2018; 56(10 Suppl 1): S22S26.CrossRefGoogle Scholar
Joosten, YA, Israel, TL, Williams, NA, et al. Community engagement studios: a structured approach to obtaining meaningful input from stakeholders to inform research. Academic Medicine 2015; 90(12): 16461650.CrossRefGoogle ScholarPubMed
Joosten, YA, Israel, TL, Head, A, et al. Enhancing translational researchers’ ability to collaborate with community stakeholders: lessons from the community engagement studio. Journal of Clinical and Translational Science 2018; 2(4): 201207.CrossRefGoogle ScholarPubMed
Israel, T, Farrow, H, Joosten, Y, Vaughn, Y. Community Engagement Studio Toolkit 2.0. (https://trialinnovationnetwork.org/material-details/?ID=98).Google Scholar
Newman, SD, Andrews, JO, Magwood, GS, Jenkins, C, Cox, MJ, Williamson, DC. Peer reviewed: community advisory boards in community-based participatory research: a synthesis of best processes. Preventing Chronic Disease 2011; 8(3).Google Scholar
Kubicek, K, Robles, M. Resource for integrating community voices into a research study: community advisory board toolkit. Southern California Clinical and Translational Science Institute, 2016. (https://trialinnovationnetwork.org/material-details/?ID=132).Google Scholar
Michaels, M. Community Outreach Guide, 2019. (https://trialinnovationnetwork.org/material-details/?ID=86).Google Scholar
Toolkit for Developing Community Partnerships. Southern California Clinical and Translational Science. (https://trialinnovationnetwork.org/material-details/?ID=145).Google Scholar
Michaels, M. Referring Providers Outreach Guide, 2019. (https://trialinnovationnetwork.org/material-details/?ID=85).Google Scholar
Figure 0

Fig. 1. The top four recruitment and retention recommendations from the Recruitment Innovation Center.

Figure 1

Table 1. Examples of recruitment barriers, risk assessment, and mitigation strategies