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Hematologists’ barriers and enablers to screening and recruiting patients to a chimeric antigen receptor (CAR) T cell therapy trial: a theory-informed interview study

Abstract

Background

Novel therapies often fail to reach the bedside due to low trial recruitment rates. Prior to conducting one of the first chimeric antigen receptor (CAR) T cell therapy trials in Canada, we used the Theoretical Domains Framework, a novel tool for identifying barriers and enablers to behavior change, to identify physician-related barriers and enablers to screening and recruiting patients for an early phase immunotherapy trial.

Methods

We conducted interviews with hematologists across Canada and used a directed content analysis to identify relevant domains reflecting the key factors that may affect screening and recruitment.

Results

In total, we interviewed 15 hematologists. Physicians expressed “cautious hope”; while expressing safety, feasibility, and screening criteria concerns, 14 out of 15 hematologists intended to screen for the trial (domains: knowledge, goals, beliefs about consequences, intentions). Physicians underscored the “challenging contexts,” identifying resources, workload, forgetting, and patient wait times to receive CAR T cells as key practical barriers to screening (domains: environmental context and resources, memory, attention and decision-making, behavioral regulation). They also highlighted “variability in roles and procedures” that may lead to missed trial candidates (domain: social and professional role). Left unaddressed, these barriers may undermine trial recruitment.

Conclusions

This study is among the first to use the Theoretical Domains Framework from the physician perspective to identify recruitment challenges to early phase trials and demonstrates the value of this approach for identifying barriers to screening and recruitment that may not otherwise have been elicited. This approach can optimize trial procedures and may serve to inform future promising early phase cancer therapy trials.

Trial registration

ClinicalTrials.gov Identifier: NCT03765177. Registered on December 5, 2018.

Peer Review reports

Introduction

Chimeric antigen receptor (CAR) T cell therapy is an innovative treatment for patients with hematologic malignancies [1,2,3,4,5,6]. CAR T cell therapy uses a retrovirus or lentivirus to modify T cells to express specific antigen receptors that target cancer cells when reintroduced into the body [7]. Early-phase clinical trials assessing the safety and efficacy of anti-CD19 CAR T cell therapy have found a complete response in 54% of all patients receiving the modified cells and 77% of patients with acute lymphocytic leukemia [8]. This is a considerable improvement for patients who have typically had few available treatment options [7]. However, there remain questions and concerns regarding the intricacies of CAR T cell manufacturing, storage, shipping, administration, clinical oversight, care coordination, and, most importantly, safety and efficacy, suggesting the need for further research to establish treatment safety and efficacy and refine production and processing procedures [7, 9, 10]. Thus, researchers at a Canadian urban hospital are conducting the first Canadian, investigator-led, early-phase CAR T cell therapy clinical trial, the CLIC-01 trial (ClinicalTrials.gov Identifier: NCT03765177), to address some of these open questions.

Challenges to clinical trial recruitment

Critical to the success of the CLIC-01 trial will be the timely recruitment of eligible patients with relapsed or refractory acute lymphocytic leukemia and non-Hodgkin’s lymphoma. Unfortunately, despite some improvement in overall clinical trial recruitment rates, many novel therapies fail to reach the bedside due to low or delayed recruitment rates with early-phase trials seeing lower rates of accrual [11,12,13]. Both patient- and clinician-related barriers to clinical trial recruitment have been identified and documented in various systematic reviews that have emphasized a need to improve processes for identifying eligible patients, communicating trial information, obtaining consent, and ensuring participating sites have the necessary resources to support staff and prospective trial participants [11, 14,15,16,17]. Several systematic reviews have also assessed the effectiveness of tested strategies, such as training recruiters, improving consent forms and modes of information provision, the use of open trials, telephone reminders, and providing financial assistance for improving clinical trial recruitment [18,19,20,21,22,23]. Despite ongoing research on overcoming barriers to trial recruitment, no single strategy has been clearly shown to increase recruitment rates [17,18,19,20,21, 23]. Some have suggested that recruitment barriers are best identified and addressed in advance of a trial [13, 14, 24, 25]. More recently, qualitative studies have been conducted aimed at identifying and addressing trial-specific recruitment barriers as they unfold to mitigate recruitment challenges and have demonstrated encouraging results [26, 27].

The role of the physician

The success of the CLIC-01 trial depends on hematologists’ willingness, opportunity, and capacity to identify and refer eligible patients to the trial. Though largely focused on later-phase randomized controlled trials, much work has been done to identify physician-related barriers that may undermine recruitment to trials. Identified barriers include physician attitudes toward clinical trials [28,29,30], treatment preferences [25, 28], available time and resources [24, 25, 28, 30,31,32], workload concerns [23, 32, 33], potential impact on patient-provider relationships [14, 28], difficulties conducting the informed consent process [14, 19, 24, 28, 34], and challenges in explaining difficult trial concepts [23, 25, 32].

Less is known about the specific barriers to early-phase cancer clinical trials despite the presence of unique factors (e.g., single-arm design, assessing treatment safety) that likely impact the recruitment process [13, 35, 36]. Studies on recruitment to early-phase clinical trials have typically focused on patient motivations and have identified beliefs in therapeutic benefits [37,38,39], opting for alternative treatments [40, 41], and disease progression [35] as important barriers. Other studies have noted that strict eligibility criteria [13, 42] and safety concerns [31] are barriers to recruiting for early-phase clinical trials. Despite efforts to develop training for staff involved in recruiting for early-phase trials [43], few studies have identified physician-targeted evidence-based strategies for improving recruitment to early-phase clinical trials.

The Theoretical Domains Framework

Given the novelty, complexity, costs, and urgency for a timely evaluation of CAR T cell therapy, we sought to engage hematologists regarding anticipated recruitment barriers prior to the trial launch. For many clinicians, participating in an early-phase CAR T clinical trial represents a change from routine practice. To identify potential barriers to early-phase trial recruitment, we used the Theoretical Domains Framework (TDF) as it provides a well-tested, flexible, and comprehensive approach to identifying modifiable factors known to affect healthcare provider behavior [44,45,46]. The TDF is unique in that it draws on decades of behavior change research and synthesizes the constructs from 33 behavior change theories into 12 broad domains [47] that were later independently validated and expanded into 14 domains [48]. The TDF is distinct in that it allows researchers to consider theoretical explanations for identified barriers and enablers and to develop theoretically driven strategies to address them [47, 49].

We used the TDF to prospectively identify potential barriers and enablers to hematologists screening patients for an early-phase CAR T cell therapy trial. Based on the identified barriers and enablers, we aimed to make recommendations on how to optimize support, resources, and training to promote recruitment to the planned early-phase trial.

Methods

Design

We conducted a qualitative, theory-informed interview study to identify barriers and enablers to physicians screening for an early phase CAR T cell therapy trial.

Interview guide development

In collaboration with the CLIC-01 trial team, we determined that hematologists were an important stakeholder group to engage prior to trial launch given their anticipated role in identifying, screening, and referring potential candidates for an early phase CAR T cell therapy trial. We used the validated version of the TDF and kept the domain that was removed from the validated version (nature of the behavior) because it captures unique information helpful in understanding participant experiences with screening behaviors. The 15 domains used in this study are presented in Table 1 along with definitions.

Table 1 Description of domains reproduced from the validated Theoretical Domains Framework [48]

We used the TDF to develop our interview guide given its breadth, flexibility, and direct links to theory on factors known to affect decision-making and behavior [47]. We worked with physicians to identify who has to do what differently, in what context, and at what point in time to screen for this trial [50]. Thus, we designed questions to explore barriers and enablers to physicians screening patients to determine eligibility for an early-phase CAR T clinical trial. We developed one main question and several prompts for each of the 15 domains based on the existing guidance [44]. The interview guide was then pilot tested with physicians within the research team for clarity prior to recruitment (see Additional File 1 for the full interview guide).

Recruitment

Saturation is an indicator of quality and trustworthiness in qualitative research and refers to when sufficient data has been collected such that no new themes emerge. We used the 10 + 3 rule [51] to determine our target sample size and gauge whether we had collected enough data to delineate our domain subthemes. We sought to interview hematologists from across Canada who had experience treating patients with hematological malignancies. We contacted hematologists known to the research team (convenience sampling) by email. Physicians who expressed an interest in our study were invited to participate in a semi-structured phone interview.

Analysis

We used qualitative data analysis software, NVivo Pro version 11, to conduct a directed content analysis using the TDF as the guiding theoretical framework [44, 47, 48, 52]. Interviews were independently coded by SA and MF and later compared to resolve coding conflicts. Coding consensus was reached by choosing the coding strategy that satisfied both analysts, thereby ensuring no elements in the data were missed due to individual biases. Coded data excerpts were converted into belief statements (SA) and revised by a third analyst (GC). Belief statements were compared within and across domains to generate and distinguish between domain-specific subthemes [53]. To document the progression from data excerpt to subtheme, we created belief statement tables showcasing subthemes, belief statements, exemplary quotes, case counts (i.e., number of participants endorsing a belief), and total frequency counts (i.e., how many times a belief appeared in the data set) (see Additional File 2). We identified key domains according to the frequency of beliefs, presence of conflicting beliefs, and relevance to screening behaviors [44]. To aid with this process, we sought out opposing and marginal views within the data set.

A detailed summary of results (see Additional File 3) was shared with a patient partner (TH) who provided feedback regarding what aspects were most important from a patient perspective. Subthemes and belief statements were further compared to identify overlapping, or related, barriers and enablers across domains. Recurring themes that transcended domains were derived from the data and organized or clustered into global themes that captured key tensions relevant to trial recruitment [54].

Ethics approval and consent to participate

This study received ethics approval from the Ottawa Health Science Network Research Ethics Board (approval #20170502-01H) and from the University of British Columbia - British Columbia Cancer Agency Research Ethics Board (approval #H17-01472). Written consent was obtained from all participants prior to being interviewed.

Results

Interviews

A female-identified research coordinator (SA) with a master’s degree in health systems management and expertise in qualitative methods conducted all phone interviews. SA was trained in using the Theoretical Domains Framework and received guidance and feedback from an expert in Theoretical Domains Framework methodology and behavior change theory (JP). When conducting interviews, SA introduced herself as a health services researcher and clarified that she did not possess a clinical background. Interviews lasted from 17 to 35 min (median = 25 min). All interviews were audio-recorded and later transcribed verbatim.

Participants

In total, 20 physicians were contacted and invited to participate in this study. Three did not respond to the invitation. Two expressed interest but did not respond to follow-up emails and were not scheduled for an interview. The remaining 15 (9 men, 6 women) hematologists were interviewed over the phone. Participants reported residing across 6 provinces. Specifically, 7 participants were based in Ontario, 2 were from British Columbia, 2 were from Alberta, 2 were from Quebec, one was from Manitoba, and one was from Newfoundland. Physicians ranged in their reported time spent treating patients with hematological malignancies from 2 to 37 years (median = 12 years). Every physician reported treating patients with lymphoma, leukemia, or both. Four also treated myeloma and two treated other hematological malignancies. Every physician had treated patients who were eligible for bone marrow transplantation and had participated in a clinical trial as a site investigator. Thus, every participant was potentially positioned to engage in the specific recruitment activities under study.

Identified barriers and enablers to screening

We identified eight relevant domains: Knowledge, Beliefs about Consequences, Goals, Intentions, Social and Professional Role and Identity, Environmental Context and Resources, Memory/Attention/Decision Processes, and Behavior Regulation. These domains were grouped into three global themes. Cautious Hope describes the physician’s views about CAR T cell therapy (domains: Knowledge, Beliefs about Consequences, Goals, Intentions). Challenging Contexts describes the material and cognitive resource scarcity that characterizes clinical trial recruitment (domains: Beliefs about Consequences, Memory/Attention/Decision Processes, Behavioral Regulation, and Environmental Context and Resources). Variability in Perceived Roles and Screening Procedures reflects the differences in existing processes for how clinics identify and screen patients for clinical trial participation (domain: Social and Professional Role and Identity). Global themes, key domains, subthemes, sample belief statements, and quotes are presented in Table 2. Data saturation was reached for all key domain subthemes and global themes. A comprehensive list of detailed belief statements and subthemes associated with each domain are provided in Additional Files 2 and 3.

Table 2 Global themes, key domains, subthemes, and example belief statements and quotes

Cautious hope

Physician perceptions of the planned CAR T cell therapy trial were cautiously hopeful. Most (n = 12) believed a CAR T cell therapy trial would benefit their patients and that CAR T cell therapy would fill a significant treatment gap (domain: Beliefs about Consequences). Nevertheless, hematologists were concerned about the side effects (n = 10) (domain: Beliefs about Consequences) and indicated a desire to know more about response rates, toxicity, and how to manage adverse events (n = 9) (domains: Beliefs about Consequences, Knowledge).

Many (n = 7) suggested that study design, feasibility, and inclusive eligibility criteria would be important factors when considering whether to screen potential participants (domain: Beliefs about Consequences). One physician indicated that the time investment needed to participate in a CAR T trial may not be worth the expected three to four patients that may be eligible to participate (domain: Beliefs about Consequences). Another physician indicated they would be more motivated to screen for the trial if they perceived the inclusion criteria to be sufficiently broad (domain: Goals). Despite these hesitations, 14 out of 15 physicians indicated they intended to screen patients for the upcoming CAR T cell therapy trial (domain: Intentions). However, certain factors might impact their intention to screen including the feasibility of travel, preference for efficacy over safety trials, availability of other treatments, and whether they believed a patient would be “a good fit” for the trial (domain: Intentions).

Challenging contexts

Several physicians (n = 9) noted that participating sites may require funding to cover the costs of tests, biopsies, medications, coordination of care, hospital beds, and time in intensive care units (domain: Environmental Context and Resources). However, they suggested that well-resourced hospitals (e.g., access to clinical trials team) may require fewer supports (n = 6) (domain: Environmental Context and Resources).

Further highlighting differences between sites, eight physicians specifically mentioned the need to fund additional research staff, while four indicated that their medical staff members were sufficiently trained and able to complete screening activities. Others (n = 4) indicated that covering patient travel costs would be an important consideration when screening. One physician suggested caregiver expenses should also be covered (domain: Environmental Context and Resources).

Several hematologists (n = 8) expressed concern regarding how the anticipated time delay between identification and CAR T cell infusion might impact eligible patients facing a rapidly progressing disease (domain: Beliefs about Consequences). Working in this high-pressure and time-sensitive setting, some (n = 5) suggested that they may forget to screen for the trial during a busy clinic or if there had been a long time-lapse between trial setup and screening (domain: Memory). Most physicians (n = 9), however, indicated they were unlikely to forget to screen patients given the importance of the trial (domain: Memory). Physicians additionally offered suggestions for increasing the salience of the trial and screening criteria. Proposed strategies included electronic prompts and reminders (n = 6), screening patient charts on a regular basis (n = 5), having a study champion to oversee recruitment (n = 2), and involving nonprofit organizations to increase exposure (n = 1) (domain: Behavioral Regulation).

Variability in perceived roles and screening procedures

Participants unanimously (n = 15) agreed that eligibility screening was an important part of their role given that cancer clinical trials are used as both first-line and last resort treatments. When describing the recruitment practices of their specific clinical setting, many indicated that their role varied from identifying to pre-screening, full screening, and to obtaining consent from patients. Some (n = 6) indicated that identifying and screening patients was a shared role among physicians. Some believed the shared approach to patient care ensured no eligible patients were missed during the screening process. However, one physician believed that the shared responsibility sometimes led to less rigorous screening procedures. Others (n = 5) suggested that as attending physicians, they would identify patients, pre-screen for eligibility, and then refer the patient to the study investigators who would carry out the formal screening process (domain: Social and Professional Role). One participant suggested that attending physicians then have to be motivated to screen for another investigator (domain: Social and Professional Role).

Hematologists also differed on their perceived role during the consent process. Some (n = 5) emphasized the importance of explaining procedure details, answering patient questions, meeting with family members, and ensuring they provided patients with sufficient information to make an informed decision regarding trial participation while others did not (domain: Social and Professional Role). Regardless, most physicians (n = 13) agreed that research staff helped to alleviate their workload. They described often working in tandem with the clinical research staff, who were often responsible for providing detailed study information, obtaining consent from patients, and coordinating other aspects of clinical trial participation (e.g., tests, samples, follow-ups) (domain: Social and Professional Role).

Discussion

Hematologists in this study were highly motivated to screen for a CAR T cell therapy trial and wished to know more about efficacy and toxicity. Many indicated that sufficiently broad eligibility criteria were an important aspect of the study design. One physician shared that they would be less motivated to screen for a trial if they believed eligibility criteria were too narrow. Hematologists also identified several barriers to screening including limited resources, forgetting study details, and forgetting to screen for the trial. An unanticipated but important issue raised was the timing between identifying an eligible patient and the inherent delay required for manufacturing their CAR T cells. Finally, they described variability in screening roles and consent procedures suggesting that current models of care may hinder or support recruitment processes depending on site dynamics and available resources.

Very few studies have explicitly assessed barriers and enablers to trial participation in the context of hematological malignancies and from the perspective of hematologists. Only one study to our knowledge has identified recruitment challenges in this context. In a retrospective cohort study, Lemieux and colleagues found that only about 50% of patients with hematological malignancies who were potentially eligible for a trial were recruited [55]. The most common reasons for non-recruitment included failing to meet all the inclusion criteria, not being approached by their physician, and patient refusals. While the authors reported on patient reasons for refusals, no information was provided regarding physicians’ decision to abstain from presenting patients with a trial. Other studies have similarly found that physicians do not always approach eligible patients about participating in clinical trials [23, 25]. Our study adds to the knowledge base regarding barriers faced by hematologists when recruiting to early-phase clinical trials and suggests possible explanations for why physicians may not approach potentially eligible patients. We discuss three barriers—narrow eligibility criteria, forgetting trial details, and variable roles—that may impede the recruitment process for the CLIC-01 trial and other similar trials.

Narrow eligibility criteria and safety concerns

Hematologists in this study suggested it would be important for eligibility criteria to be sufficiently broad. This echoes findings from other studies where strict eligibility criteria were identified as a barrier to early-phase clinical trial recruitment [13, 42, 56]. However, hematologists in this study also expressed concerns regarding the potential risks and uncertainties associated with CAR T cell therapy. Another study assessing prospective barriers to an early-phase stem cell trial for stroke similarly found safety concerns may prevent physicians from screening and recruiting patients to the early-phase trial [31]. Thus, physicians may experience a conflict between what motivates them to screen (broad eligibility criteria) and what they believe is necessary to ensure participant safety. This tension is apparent in the tendency to use strict eligibility criteria for early-phase trials [13, 42]. This suggests a balance must be struck between optimizing the breadth of eligibility criteria to enable feasible recruitment with careful consideration of patient safety.

A review of training programs for recruiters indicated that most training efforts have focused on communication skills, explaining complex concepts (e.g., equipoise, randomization), and employing shared decision-making frameworks [57]. We suggest training efforts include discussions regarding comparative data on efficacy, toxicity, and financial implications of CAR T cell therapy compared to similar therapies (e.g., bone marrow transplants, other CAR T cell therapies), competing trials (e.g., other immunotherapy trials), standard care (e.g., palliative care, chemotherapy), and no treatment. A rigorous approach to addressing physician concerns over safety as well as treatment costs, feasibility, and treatment efficacy will be to provide systematic review evidence of all available data on these factors [8]. Comparative evaluations may quell concerns regarding the efficacy and cost-effectiveness of CAR T cell therapy. However, while such foundational information may encourage physicians to screen for the trial, information provision alone is unlikely to optimize their recruitment activities given that recruiter training has not consistently improved recruitment rates [57]. Thus, considering the wider set of identified barriers to screening is necessary.

The Quintet Recruitment Intervention is one option that may be used to iteratively identify and address recruitment barriers alongside clinical trials [26, 27]. The Quintet Recruitment Intervention uses a combination of quantitative and qualitative methods to document existing recruitment processes and provide localized feedback to improve recruitment practices. The use of the Quintet Recruitment Intervention has helped identify and address barriers related to recruitment pathways and communication challenges [25, 27].

Forgetting to screen amidst competing demands

Even the highly motivated hematologists in this study identified competing priorities and the potential for forgetting to screen as possible barriers to recruitment. Further, as recruitment extends over months, physicians indicated they may forget trial details that are provided during site initiation visits. The risk of forgetting trial details was identified in a survey study where 84% of physicians involved in clinical research at a cancer center reported difficulties keeping track of eligibility criteria for open trials [32]. However, studies evaluating the use of reminders for clinicians have not found a clear impact on recruitment rates [19]. Determining what aspects of interventions aimed at improving the salience of open trials are actually effective at improving recruitment rates is imperative.

Hematologists also suggested that workload may be a barrier to recruitment. One study found that decreasing physician workload was effective at improving recruitment rates [58]. Addressing workload concerns (clarifying from the outset the time commitment involved in terms of frequency of patients to screen) and simplifying screening and referral tasks may encourage better recruitment.

Hematologist and oncologist roles in screening practices

To address the differences in site screening practices, it would be prudent to clarify “who does what” at each site and ensure that there is agreement on roles, especially when they differ from usual recruitment practices at a specific site. Identifying these differences early will ensure they are considered when trials become multi-center.

Of importance is clarifying physicians’ role in providing trial information. While physicians are not always involved in the consent process or information provision, many patients rely on their hematologists’ and oncologists’ assessments and professional opinions when making treatment decisions [59] (see also Castillo et al: Navigating choice in the face of uncertainty: Using a theory informed qualitative approach to identifying patient barriers and enablers to participating in an early phase Chimeric Antigen Receptor T cell therapy trial, forthcoming). A recent review similarly found that prospective trial participants appreciated hearing about trial information from individuals who were approachable, trustworthy, and knowledgeable about the trial and that healthcare providers were especially seen as trustworthy [16]. Considering both physician and patient perspectives is, thus, critical for optimizing recruitment to early-phase trials. It will be important for this, and future trials, to adopt strategies (peer support, improved access to specialists) that strive to meaningfully inform and engage patients while respecting physician workload and time [60, 61]. One recently evaluated strategy for addressing patient information needs while respecting physician time is the use of lay navigators [60]. In this study, non-physician staff were trained to provide informational, logistical, social, and emotional support to prospective trial participants. Participants receiving the lay navigation intervention were more likely to participate in a clinical trial [60]. If the use of lay navigators is not possible, developing materials that streamline physician time while providing consistent and accessible patient-centered messaging (e.g., videos of physicians describing the trial on a trial website, infographics for patients) may help address both patient and physician needs.

Strengths and limitations

A possible limitation of this study is that it focused only on hematologists. Hematologists had been identified by the trial team as the most relevant healthcare provider group to interview in advance of the trial and were subsequently identified as important sources of trial information by patient participants. However, hematologists indicated that their screening and recruiting procedures often included other healthcare providers and research staff. As the evaluation of CAR T cell therapy moves to later-phase clinical trials and involves more sites, future research should also assess the barriers and enablers anticipated and experienced by other staff involved in the recruitment process.

The strength of this study lies in the use of the TDF to identify factors that may impact clinician screening and recruiting behaviors. The TDF enabled a comprehensive assessment of potential barriers and enablers to screening and recruiting to an early-phase trial of CAR T cell therapy. Qualitative methods further allowed for the exploration of anticipated as well as unanticipated topics to arise, such as the concern over wait times between screening and referring patients to the trial and patients receiving CAR T cell therapy. The TDF also enables linking research findings to theory in order to generate evidence-based strategies and, thus, provides a path for future research to build on the work presented here [49].

Conclusion

This study demonstrates the value of using a comprehensive approach to identifying potential trial-specific barriers and enablers prior to conducting an early-phase cancer therapy trial to inform efforts to optimize recruitment activities. The methods (i.e., interviews based on the Theoretical Domains Framework) and tools (i.e., interview guide) described in this paper could serve as adaptable examples that can be used to inform recruitment activities in other future trials. Identifying and prioritizing barriers most relevant for a specific upcoming trial can guide what and how training and resources are used at trial launch and throughout to support physicians and other site staff in promoting consistent recruitment over time. As promising cancer therapies continue to develop at the bench, such approaches may help to optimize the conduct of trials so that effective therapies reach the bedside sooner rather than be delayed by trial recruitment failures.

Availability of data and materials

The full set of themes, categories, and belief statements supporting the conclusions of this article are available as additional files. Individual participant data will not be shared. However, we invite queries and comments from interested readers regarding the data or analytic process.

Abbreviations

CAR T cell therapy:

Chimeric antigen receptor T cell therapy

TDF:

Theoretical Domains Framework

References

  1. Maude SL, Teachey DT, Porter DL, Grupp SA. CD19-targeted chimeric antigen receptor T-cell therapy for acute lymphoblastic leukemia. Blood. 2015;125(26):4017–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Salter AI, Pont MJ, Riddell SR. Chimeric antigen receptor–modified T cells: CD19 and the road beyond. Blood. 2018;131(24):2621–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Davila ML, Riviere I, Wang X, Bartido S, Park J, Curran K, et al. Efficacy and toxicity management of 19-28z CAR T cell therapy in B cell acute lymphoblastic leukemia. Sci Transl Med. 2014;6(224):224ra25.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Fraietta JA, Lacey SF, Orlando EJ, Pruteanu-Malinici I, Gohil M, Lundh S, et al. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat Med. 2018;24(5):563–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Neelapu SS, Locke FL, Bartlett NL, Lekakis LJ, Miklos DB, Jacobson CA, et al. Axicabtagene ciloleucel CAR T-cell therapy in refractory large B-cell lymphoma. N Engl J Med. 2017;377(26):2531–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Levine BL, Miskin J, Wonnacott K, Keir C. Global manufacturing of CAR T cell therapy. Mol Ther Methods Clin Dev. 2017;4:92–101.

    Article  CAS  PubMed  Google Scholar 

  7. Zhao Z, Chen Y, Francisco NM, Zhang Y, Wu M. The application of CAR-T cell therapy in hematological malignancies: advantages and challenges. Acta Pharm Sin B. 2018;8(4):539–51.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Grigor EJM, Fergusson D, Kekre N, Montroy J, Atkins H, Seftel MD, et al. Risks and benefits of chimeric antigen receptor T-cell (CAR-T) therapy in cancer: a systematic review and meta-analysis. Transfus Med Rev. 2019. Available from: http://www.sciencedirect.com/science/article/pii/S088779631830172X. Cited 2019 Apr 24.

  9. Zheng P-P, Kros JM, Li J. Approved CAR T cell therapies: ice bucket challenges on glaring safety risks and long-term impacts. Drug Discov Today. 2018;23(6):1175–82.

    Article  PubMed  Google Scholar 

  10. June CH, Sadelain M. Chimeric antigen receptor therapy. N Engl J Med. 2018;379(1):64–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. McDonald AM, Knight RC, Campbell MK, Entwistle VA, Grant AM, Cook JA, et al. What influences recruitment to randomised controlled trials? A review of trials funded by two UK funding agencies. Trials. 2006;7(1):9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Sully BGO, Julious SA, Nicholl J. A reinvestigation of recruitment to randomised, controlled, multicenter trials: a review of trials funded by two UK funding agencies. Trials. 2013;14(1):166.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Massett H, Mishkin GE, Rubinstein L, Ivy S, Denicoff A, Godwin E, et al. Challenges facing early phase trials sponsored by the National Cancer Institute: an analysis of corrective action plans to improve accrual. Clin Cancer Res. 2016;22(22):5408–16. 

  14. Fayter D, McDaid C, Eastwood A. A systematic review highlights threats to validity in studies of barriers to cancer trial participation. J Clin Epidemiol. 2007;60(10):990–1001.

    Article  PubMed  Google Scholar 

  15. Mills EJ, Seely D, Rachlis B, Griffith L, Wu P, Wilson K, et al. Barriers to participation in clinical trials of cancer: a meta-analysis and systematic review of patient-reported factors. Lancet Oncol. 2006;7(2):141–8.

    Article  PubMed  Google Scholar 

  16. Houghton C, Dowling M, Meskell P, Hunter A, Gardner H, Conway A, et al. Factors that impact on recruitment to randomised trials in health care: a qualitative evidence synthesis. Cochrane Database Syst Rev. 2020;(10) Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.MR000045.pub2/full. Cited 2020 Nov 29.

  17. Kearney A, Harman NL, Rosala-Hallas A, Beecher C, Blazeby JM, Bower P, et al. Development of an online resource for recruitment research in clinical trials to organise and map current literature. Clin Trials. 2018;15(6):533–42.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Treweek S, Pitkethly M, Cook J, Fraser C, Mitchell E, Sullivan F, et al. Strategies to improve recruitment to randomised trials. Cochrane Methodology Review Group, editor. Cochrane Database Syst Rev. 2018. Available from: http://doi.wiley.com/10.1002/14651858.MR000013.pub6. Cited 2018 Dec 20.

  19. Preston NJ, Farquhar MC, Walshe CE, Stevinson C, Ewing G, Calman LA, et al. Strategies designed to help healthcare professionals to recruit participants to research studies. Cochrane Methodology Review Group, editor. Cochrane Database Syst Rev. 2016. Available from: http://doi.wiley.com/10.1002/14651858.MR000036.pub2. Cited 2018 Dec 20.

  20. Gardner HR, Albarquoni L, El Feky A, Gillies K, Treweek S. A systematic review of non-randomised evaluations of strategies to improve participant recruitment to randomised controlled trials. F1000Res. 2020;9:86.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Boland J, Currow DC, Wilcock A, Tieman J, Hussain JA, Pitsillides C, et al. A systematic review of strategies used to increase recruitment of people with cancer or organ failure into clinical trials: implications for palliative care research. J Pain Sympt Manage. 2015;49(4):762–72 e5.

    Article  Google Scholar 

  22. Mc Daid C, Hodges Z, Fayter D, Stirk L, Eastwood A. Increasing participation of cancer patients in randomised controlled trials: a systematic review. Trials. 2006;7(1):16.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Fletcher B, Gheorghe A, Moore D, Wilson S, Damery S. Improving the recruitment activity of clinicians in randomised controlled trials: a systematic review. BMJ Open. 2012;2(1):e000496.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Isaksson E, Wester P, Laska AC, Näsman P, Lundström E. Identifying important barriers to recruitment of patients in randomised clinical studies using a questionnaire for study personnel. Trials. 2019;20(1):618.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Elliott D, Husbands S, Hamdy FC, Holmberg L, Donovan JL. Understanding and improving recruitment to randomised controlled trials: qualitative research approaches. Eur Urol. 2017;72(5):789–98.

    Article  PubMed  Google Scholar 

  26. Donovan JL, Rooshenas L, Jepson M, Elliott D, Wade J, Avery K, et al. Optimising recruitment and informed consent in randomised controlled trials: the development and implementation of the Quintet Recruitment Intervention (QRI). Trials. 2016;17(1):283.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Rooshenas L, Scott LJ, Blazeby JM, Rogers CA, Tilling KM, Husbands S, et al. The QuinteT Recruitment Intervention supported five randomized trials to recruit to target: a mixed-methods evaluation. J Clin Epidemiol. 2019;106:108–20.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Unger JM, Cook E, Tai E, Bleyer A. Role of clinical trial participation in cancer research: barriers, evidence, and strategies. Am Soc Clin Oncol Educ Book. 2016;35:185–98.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Donovan JL, de Salis I, Toerien M, Paramasivan S, Hamdy FC, Blazeby JM. The intellectual challenges and emotional consequences of equipoise contributed to the fragility of recruitment in six randomized controlled trials. J Clin Epidemiol. 2014;67(8):912–20.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Jacobs SR, Weiner BJ, Reeve BB, Weinberger M, Minasian LM, Good MJ. Organizational and physician factors associated with patient enrollment in cancer clinical trials. Clin Trials. 2014;11(5):565–75.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lalu MM, Foster M, Presseau J, Dowlatshahi D, Castillo G, Cardenas A, et al. What are potential barriers and enablers to patient and physician participation in Canadian cell therapy trials for stroke? A stakeholder interview study. BMJ Open. 2020;10(3):e034354.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Hillyer GC, Beauchemin M, Hershman DL, Kelsen M, Brogan FL, Sandoval R, et al. Discordant attitudes and beliefs about cancer clinical trial participation between physicians, research staff, and cancer patients. Clin Trials. 2020;17(2):184–94.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Mahmud A, Zalay O, Springer A, Arts K, Eisenhauer E. Barriers to participation in clinical trials: a physician survey. Curr Oncol. 2018;25(2):119–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Paramasivan S, Huddart R, Hall E, Lewis R, Birtle A, Donovan JL. Key issues in recruitment to randomised controlled trials with very different interventions: a qualitative investigation of recruitment to the SPARE trial (CRUK/07/011). Trials. 2011;12(1):78.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ho J, Pond GR, Newman C, Maclean M, Chen EX, Oza AM, et al. Barriers in phase I cancer clinical trials referrals and enrollment: five-year experience at the Princess Margaret Hospital. BMC Cancer. 2006;6:263.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Ramirez AG, Chalela P, Suarez L, Muñoz E, Pollock BH, Weitman SD, et al. Early phase clinical trials: referral barriers and promoters among physicians. J Community Med Health Educ. 2012;2(8):1000173.

  37. Kass NE, Sugarman J, Medley AM, Fogarty LA, Taylor HA, Daugherty CK, et al. An intervention to improve cancer patients’ understanding of early-phase clinical trials. Ethics and Hum Res. 2009;31(3):1–10.

  38. Jansen LA, Mahadevan D, Appelbaum PS, Klein WMP, Weinstein ND, Mori M, et al. Perceptions of control and unrealistic optimism in early-phase cancer trials. J Med Ethics. 2018;44(2):121–7.

    Article  PubMed  Google Scholar 

  39. Dolly SO, Kalaitzaki E, Puglisi M, Stimpson S, Hanwell J, Fandos SS, et al. A study of motivations and expectations of patients seen in phase 1 oncology clinics: expectations of phase 1 oncology patients. Cancer. 2016;122(22):3501–8.

    Article  PubMed  Google Scholar 

  40. Biessen DAJ, Cranendonk MA, Schiavon G, Holt B, Wiemer EAC, Eskens FALM, et al. Evaluation of patient enrollment in oncology phase I clinical trials. Oncologist. 2013;18(3):323–9.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Fu S, McQuinn L, Naing A, Wheler JJ, Janku F, Falchook GS, et al. Barriers to study enrollment in patients with advanced cancer referred to a phase I clinical trials unit. Oncologist. 2013;18(12):1315–20.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Duma N, Kothadia SM, Azam TU, Yadav S, Paludo J, Vera Aguilera J, et al. Characterization of comorbidities limiting the recruitment of patients in early phase clinical trials. Oncologist. 2019;24(1):96–102.

    Article  PubMed  Google Scholar 

  43. Fallowfield LJ, Solis-Trapala I, Jenkins VA. Evaluation of an educational program to improve communication with patients about early-phase trial participation. Oncologist. 2012;17(3):377–83.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Atkins L, Francis J, Islam R, O’Connor D, Patey A, Ivers N, et al. A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems. Implement Sci. 2017;12(1). Available from: http://implementationscience.biomedcentral.com/articles/10.1186/s13012-017-0605-9. Cited 2018 Dec 20.

  45. Wilkinson S, Thomas S, Phillips CJ, Marshall AP, Chaves NJ, Jankelowitz SK, et al. Experiences of using the Theoretical Domains Framework across diverse clinical environments: a qualitative study. J Multidiscip Healthc. 2015;139.

  46. Phillips C, Marshall A, Chaves N, Jankelowitz S, Lin I, Loy C, et al. Experiences of using the Theoretical Domains Framework across diverse clinical environments: a qualitative study. J Multidiscip Healthc. 2015;8:139–46.

    PubMed  PubMed Central  Google Scholar 

  47. Michie S. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005;14(1):26–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Cane J, O’Connor D, Michie S. Validation of the Theoretical Domains Framework for use in behaviour change and implementation research. Implement Sci. 2012;7(1). Available from: http://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-7-37. Cited 2018 Dec 20.

  49. Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008;57(4):660–80.

    Article  Google Scholar 

  50. Presseau J, McCleary N, Lorencatto F, Patey AM, Grimshaw JM, Francis JJ. Action, Actor, Context, Target, Time (AACTT): a framework for specifying behaviour. Implementation Sci. 2019;14:102. 

  51. Francis JJ, Johnston M, Robertson C, Glidewell L, Entwistle V, Eccles MP, et al. What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychol Health. 2010;25(10):1229–45.

    Article  PubMed  Google Scholar 

  52. Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.

    Article  PubMed  Google Scholar 

  53. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.

    Article  Google Scholar 

  54. Braun V, Clarke V. Thematic analysis. In: Cooper H, Camic PM, Long DL, Panter AT, Rindskopf D, Sher KJ, editors. APA handbook of research methods in psychology, Vol 2: Research designs: quantitative, qualitative, neuropsychological, and biological. Washington: American Psychological Association; 2012. p. 57–71. Available from: http://content.apa.org/books/13620-004. Cited 2018 Dec 20.

    Chapter  Google Scholar 

  55. Lemieux J, Amireault C, Camden S, Poulin J. Evaluation of factors associated with recruitment in hematological clinical trials: a retrospective cohort study. Hematology. 2010;15(6):373–7.

    Article  PubMed  Google Scholar 

  56. Meropol NJ, Buzaglo JS, Millard J, Damjanov N, Miller SM, Ridgway C, et al. Barriers to clinical trial participation as perceived by oncologists and patients. J Natl Compr Cancer Netw. 2007;5(8):753–62.

    Article  Google Scholar 

  57. Townsend D, Mills N, Savović J, Donovan JL. A systematic review of training programmes for recruiters to randomised controlled trials. Trials. 2015;16(1):432.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Fletcher K, Mant J, Roalfe A, Hobbs FDR. Impact of study design on recruitment of patients to a primary care trial: an observational time series analysis of the Birmingham Atrial Fibrillation Treatment of the Aged (BAFTA) Study. Fam Pract. 2010;27(6):691–7.

    Article  CAS  PubMed  Google Scholar 

  59. Comis RL, Miller JD, Colaizzi DD, Kimmel LG. Physician-related factors involved in patient decisions to enroll onto cancer clinical trials. J Oncol Pract. 2009;5(2):50–6.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Cartmell KB, Bonilha HS, Matson T, Bryant DC, Zapka J, Bentz TA, et al. Patient participation in cancer clinical trials: a pilot test of lay navigation. Contemp Clin Trials Commun. 2016;3:86–93.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Crocker JC, Ricci-Cabello I, Parker A, Hirst JA, Chant A, Petit-Zeman S, et al. Impact of patient and public involvement on enrolment and retention in clinical trials: systematic review and meta-analysis. BMJ. 2018;363:k4738.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The conduct of this study was supported by a Clinical Social and Economic Impact (CSEI) grant from Biotherapeutics for Cancer Treatment (BioCanRx) (Grant reference number: FY17/ CSEI4). BioCanRx is funded by the Government of Canada’s Networks of Centres of Excellence. BioCanRx was not involved in any aspect of the study design, including methods and analysis plan, the collection, analysis and interpretation of the data, or the writing of this manuscript.

ML is supported by The Ottawa Hospital Anesthesia Alternate Funds Association and the Scholarship Protected Time Program, Department of Anesthesiology and Pain Medicine, uOttawa. The Ottawa Hospital Anesthesia Alternate Funds Association and the Scholarship Protected Time Program, Department of Anesthesiology and Pain Medicine, uOttawa, were not involved in any aspect of the study design, the collection, analysis and interpretation of the data, or the writing of this manuscript.

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Contributions

The specific author contributions for this manuscript are as follows: GC analyzed the data and drafted the manuscript. ML and JP designed the study and provided guidance and oversight for the conduct of the study and reporting of this manuscript. JP provided methodological expertise and leadership. SA designed the interview guides, conducted the interviews, and analyzed the data. MF double-coded the data, provided feedback on the analyses, and facilitated the patient partner involvement. NK, DF, HA, RH, and RB provided medical expertise and guidance on the study design and interpretation of the results. NK, HA, and RB assisted in identifying the prospective participants. KT provided socioeconomic expertise and guidance on the study design. JM provided feedback on the study conduct and interpretation of the results. TH and SS provided feedback on the study design and results from the patient perspective. All authors provided feedback on multiple drafts of this manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Justin Presseau.

Ethics declarations

Ethics approval and consent to participate

This study received ethics approval from the Ottawa Health Science Network Research Ethics Board (approval #20170502-01H) and from the University of British Columbia - British Columbia Cancer Agency Research Ethics Board (approval #H17-01472). Written consent was obtained from all participants prior to being interviewed.

Consent for publication

Not applicable.

Competing interests

The authors declare they have no competing interests.

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Supplementary Information

Additional file 1:.

Physician interview guide.

Additional file 2:.

Physician belief statements.

Additional file 3:.

Physician subthemes.

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Castillo, G., Lalu, M., Asad, S. et al. Hematologists’ barriers and enablers to screening and recruiting patients to a chimeric antigen receptor (CAR) T cell therapy trial: a theory-informed interview study. Trials 22, 230 (2021). https://doi.org/10.1186/s13063-021-05121-y

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