Brehaut Jamie C, Carroll Kelly, Presseau Justin, Richards Dawn P, Gordon Jenn, Bénard Angèle, Hudek Natasha, Graham Ian D, Fergusson Dean A, Marlin Susan
Clinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI), The Ottawa Hospital, General Campus, 501 Smyth Rd, Ottawa Ontario, Canada, K1H 8L6; Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada, K1G 5Z3.
Clinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI), The Ottawa Hospital, General Campus, 501 Smyth Rd, Ottawa Ontario, Canada, K1H 8L6.
J Clin Epidemiol. 2021 Apr;132:106-115. doi: 10.1016/j.jclinepi.2020.12.013. Epub 2020 Dec 15.
Despite clear evidence showing that many clinical trials fail or are delayed because of poor patient recruitment, there is surprisingly little empirically supported guidance for trialists seeking to optimize their trial recruitment strategies. We propose that the challenges of recruitment can be better understood and addressed by thinking of research participation as one or more behaviors, subject to the same forces as other human behaviors. In this article, we describe an adaptable, behavioral theory-driven approach for designing pretrial surveys of the barriers and drivers relevant to trial participation. Instead of proposing a single survey instrument intended to be used uniformly across many situations, we propose that tailored surveys be informed by a common comprehensive, theory-guided development approach that ensures all domains potentially guiding participation are considered.
We used the Theoretical Domains Framework (TDF), which organizes over 100 constructs known to be associated with behavior and behavior change into 14 domains that describe determinants of professional and patient health behaviors, to inform the development of tailored surveys about barriers to and drivers of clinical trial participation. After searching the literature for barriers and drivers to trial recruitment relevant to each of the TDF domains, we developed separate surveys for members of two national health charities (Canadian Breast Cancer Network, Huntington Society of Canada) to exemplify how the approach can be adapted across settings. We conducted think-aloud interviews with members of each group to maximize the clarity and usability of the surveys, elicited opinions about which barriers/drivers were relevant for each patient group, and identified additional barriers/drivers. Interviews proceeded iteratively with changes incorporated into subsequent interviews. Here, we describe our two target patient groups, as well as our process of modifying, adding, and deleting barrier/driver items for each group and across theoretical domains.
We interviewed 8 women with a history of breast cancer from the Canadian Breast Cancer Network (48-65 year old) and 11 Huntington Disease community members (9 women) from the Huntington Society of Canada (26-70 year old). After the iterative development interviews, the breast cancer group had identified 38 barriers/drivers thought relevant to their participation in clinical trials across 12 TDF domains. The Huntington group identified 47 items across 13 TDF domains.
Our patient-focused and theory-guided approach was able to identify a more comprehensive range of barriers to and drivers of trial participation than existing published tools. Our approach is also more broadly adaptable than such tools, in that it uses a theoretical framework and in-depth piloting to generate a set of items tailored to each specific clinical area, rather than a single set of items intended to be applicable to all situations. This theory-guided approach also enables more specific recruitment strategies to be developed once domain-specific barriers are known, potentially optimizing participation for a given trial and helping build a cumulative evidence of barriers/drivers and strategies for addressing them.
尽管有明确证据表明,许多临床试验因患者招募困难而失败或延迟,但对于试图优化试验招募策略的试验者来说,令人惊讶的是,几乎没有基于实证的指导意见。我们认为,将研究参与视为一种或多种行为,并将其置于与其他人类行为相同的影响因素之下,有助于更好地理解和应对招募挑战。在本文中,我们描述了一种基于行为理论的适应性方法,用于设计与试验参与相关的障碍和驱动因素的预试验调查。我们并非提出一种适用于多种情况的单一调查工具,而是建议通过一种通用的、全面的、理论指导的开发方法来设计量身定制的调查,以确保考虑到所有可能影响参与的因素。
我们使用了理论领域框架(TDF),该框架将100多个已知与行为及行为改变相关的概念组织成14个领域,这些领域描述了专业人员和患者健康行为的决定因素,以此为基础开发关于临床试验参与障碍和驱动因素的量身定制调查。在检索文献以查找与TDF各领域相关的试验招募障碍和驱动因素后,我们为两个全国性健康慈善机构(加拿大乳腺癌网络、加拿大亨廷顿协会)的成员分别开发了调查,以举例说明该方法如何在不同环境中进行调整。我们对每组成员进行了出声思考访谈,以最大限度地提高调查的清晰度和可用性,征集关于哪些障碍/驱动因素与每个患者群体相关的意见,并识别其他障碍/驱动因素。访谈反复进行,并将修改内容纳入后续访谈。在此,我们描述我们的两个目标患者群体,以及我们针对每个群体和跨理论领域修改、添加和删除障碍/驱动因素项目的过程。
我们采访了加拿大乳腺癌网络的8名有乳腺癌病史的女性(年龄在48 - 65岁之间)和加拿大亨廷顿协会的11名亨廷顿病社区成员(9名女性,年龄在26 - 70岁之间)。经过反复的开发访谈,乳腺癌组在12个TDF领域中确定了38个被认为与她们参与临床试验相关的障碍/驱动因素。亨廷顿组在13个TDF领域中确定了47个项目。
我们以患者为中心且基于理论的方法能够识别出比现有已发表工具更全面的试验参与障碍和驱动因素。我们的方法比此类工具具有更广泛的适应性,因为它使用理论框架和深入的试点来生成针对每个特定临床领域量身定制的一组项目,而不是一套适用于所有情况的单一项目。这种基于理论的方法还能够在了解特定领域障碍后制定更具体的招募策略,有可能优化特定试验的参与情况,并有助于积累关于障碍/驱动因素及应对策略的证据。