PO.PS01.10 · 人群科学
面向连接患者群体与临床试验(CP2CT)的共享指标、度量与基准的开发与共识构建
Development of and consensus building towards shared metrics, measures and benchmarks for the connecting patient populations to clinical trials (CP2CT)
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:多学科研究网络在协调各参与站点的指标和度量方面常面临挑战,限制了汇总数据和产生可推广见解的能力。为在"连接患者群体与临床试验(CP2CT)网络"内解决这一障碍,数据、评估与协调中心(DECC)协调建立了一个统一框架,以支持可比较的评估并增强网络范围活动的科学影响力。
方法:共识通过一个结构化、迭代且协作的过程形成:(1)根据网络站点资料和相关文献起草初步构念、指标、度量和基准;(2)通过Basecamp(一个用于构念开发的创新型在线协作工作空间)向网络站点征求定性和定量反馈;(3)开展开放对话会议,随后系统审查和整合站点反馈;以及(4)通过反复的反馈循环完善所有要素,直至不再有进一步修改要求。每一次迭代都增强了最终构念的清晰度、连贯性和科学精确性。
结果:共有七个构念被纳入共识开发过程:临床试验转诊、临床试验入组、参与者对临床试验的知晓、参与者对临床试验的知识、提供者对NCI支持的临床试验的知晓、提供者对NCI支持的临床试验的参与,以及提供者对NCI支持的临床试验的转诊。对于每个构念,网络确立了概念定义(对构念的宽泛描述)、操作定义(对构念如何测量或观察的具体说明)、基准(评估绩效的标准)、指标(绩效的定量指标)以及度量(用于量化投入、过程或结果的工具)。为两个构念——临床试验入组和参与者对临床试验的知识——开发了通用度量。尽管并非所有四个网络站点对每个构念都达成了完全共识,但至少有三个站点对其余五个构念达成了共识。
结论:本共识构建行动产生了一个统一的、以科学为基础的框架。通过协调与临床试验转诊、入组、知晓、知识和提供者参与相关的关键要素,该网络确立了基础性工具,使跨站点数据可比较,并有助于更严格地评估将多样化患者群体连接至临床试验的努力。该框架使网络能够为改善公平的临床试验参与提供策略依据。
查看英文原文 English abstract
Background: Multidisciplinary research networks often face challenges in harmonizing metrics and measures across participating sites, limiting the ability to aggregate data and generate generalizable insights. To address this barrier within the Connecting Patient Populations to Clinical Trials (CP2CT) Network, the Data, Evaluation, and Coordinating Center (DECC) coordinated the establishment of a unified framework that supports comparable evaluation and enhances the scientific impact of network-wide activities.
Methods: Consensus was developed through a structured, iterative, and collaborative process: (1) drafting initial constructs, metrics, measures, and benchmarks informed by Network site materials and relevant literature; (2) soliciting qualitative and quantitative feedback from Network sites via Basecamp, an innovative online collaborative workspace for construct development; (3) conducting open dialogue sessions followed by systematic review and integration of site feedback; and (4) refining all elements through repeated feedback cycles until no further modifications were requested. Each iteration strengthened the clarity, coherence, and scientific precision of the final constructs.
Results: A total of seven constructs were incorporated into the consensus-development process: clinical trials referral, clinical trials accrual, participants' awareness of clinical trials, participants' knowledge of clinical trials, providers' awareness of NCI-supported clinical trials, providers' engagement with NCI-supported clinical trials, and providers' referral to NCI-supported clinical trials. For each construct, the Network established a conceptual definition (broad description of the construct), an operational definition (specification of how the construct is measured or observed), benchmarks (standards for assessing performance), metrics (quantitative indicators of performance), and measures (tools used to quantify inputs, processes, or outcomes). Common measures were developed for two constructs-clinical trials accrual and participants' knowledge of clinical trials. Although full consensus was not achieved across all four Network sites for every construct, at least three sites reached consensus for the remaining five constructs.
Conclusion: This consensus-building initiative resulted in the development of a unified, scientifically grounded framework. By harmonizing key elements related to clinical trial referral, accrual, awareness, knowledge, and provider engagement, the Network has established foundational tools that enable cross-site data comparability and facilitate more rigorous assessment of efforts to connect diverse patient populations to clinical trials. This framework positions the Network to inform strategies that improve equitable clinical trial participation.
利益披露 Disclosure
F. T. Odedina,
Mayo Clinic Employment.
National Cancer Institute ).
Department of Defense ).
J. Le-Rademacher, None..
R. Freimuth, None..
C. Orozco, None..
L. Lectora, None..
T. Bonner, None..
H. Thorson, None.