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CASCADE:一种社区参与的行动模型,用于在临床研究中做出快速、患者参与的决策。

CASCADE: a community-engaged action model for generating rapid, patient-engaged decisions in clinical research.

作者信息

Kelleher Bridgette L

机构信息

Department of Psychological Sciences, Purdue University, 703 3rd Street, West Lafayette, IN, 47906, USA.

出版信息

BMC Med Res Methodol. 2025 Jul 1;25(1):168. doi: 10.1186/s12874-025-02565-7.


DOI:10.1186/s12874-025-02565-7
PMID:40597746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12211934/
Abstract

BACKGROUND: Integrating patient and community input is essential to the relevance and impact of patient-focused research. However, specific techniques for generating patient and community-informed research decisions remain limited. This manuscript describes a novel CASCADE method (Community-Engaged Approach for Scientific Collaborations and Decisions) that was developed and implemented to make actionable, patient-centered research decisions during a federally funded clinical trial. METHODS: The CASCADE method was developed to facilitate decision-making, combining techniques from a variety of past methodologies with new approaches that aligned with project constraints and goals. The final result was a series of procedures that spanned seven thematic pillars (1) identifying a shared, specific, and actionable goal; (2) centering community input; (3) integrating both pre-registered statistical analyses and exploratory "quests"; (4) fixed-pace scheduling, supported by technology; (5) minimizing opportunities for cognitive biases typical to group decision making; (6) centering diversity experiences and perspectives, including those of individual patients; (7) making decisions that are community-relevant, rigorous, and feasible. The final approach was piloted within an active clinical trial, with the primary goal of describing feasibility (participation, discussion topics, timing, quantity of outputs). RESULTS: The inaugural CASCADE panel aimed to identify ways to improve an algorithm for matching patients to specific types of telehealth programs within an active, federally funded clinical trial. The panel was attended by 27 participants, including 5 community interest-holders. Data reviewed to generate hypotheses and make decisions included (1) pre-registered statistical analyses, (2) results of 12 "quests" that were launched during the panel to answer specific panelist questions via exploratory analyses or literature review, (3) qualitative and quantitative patient input, and (4) team member input, including by staff who represented the focal patient population for the clinical trial. CASCADE pillars were successfully integrated to generate 18 initial and 6 final hypotheses, which were translated to 19 decisional changes. CONCLUSIONS: The CASCADE approach was an effective tool for rapidly, efficiently making patient-centered decisions during an ongoing, federally funded clinical trial. Opportunities for further development will include exploring best-practice structural procedures, enhancing greater opportunities for pre-panel input by community interest-holders, and determining how to best standardize CASCADE outputs. TRIAL REGISTRATION: The CASCADE procedure was developed in the context of NCT05999448.

摘要

背景:整合患者和社区的意见对于以患者为中心的研究的相关性和影响力至关重要。然而,用于做出基于患者和社区信息的研究决策的具体技术仍然有限。本手稿描述了一种新颖的CASCADE方法(社区参与科学合作与决策方法),该方法是在一项由联邦政府资助的临床试验中开发并实施的,用于做出可行的、以患者为中心的研究决策。 方法:开发CASCADE方法是为了促进决策制定,它将过去各种方法中的技术与符合项目限制和目标的新方法相结合。最终结果是一系列跨越七个主题支柱的程序:(1)确定一个共同的、具体的且可行的目标;(2)以社区意见为核心;(3)整合预先注册的统计分析和探索性“探索”;(4)在技术支持下进行固定节奏的安排;(5)尽量减少群体决策中典型的认知偏差机会;(6)以包括个体患者在内的多样化经验和观点为核心;(7)做出与社区相关、严谨且可行的决策。最终方法在一项正在进行的临床试验中进行了试点,主要目标是描述其可行性(参与情况、讨论主题、时间安排、产出数量)。 结果:首届CASCADE小组旨在确定在一项正在进行的、由联邦政府资助的临床试验中改进将患者与特定类型远程医疗项目匹配的算法的方法。该小组有27名参与者,包括5名社区利益相关者。用于生成假设和做出决策的数据包括:(1)预先注册的统计分析;(2)在小组会议期间发起的12项“探索”的结果,这些“探索”通过探索性分析或文献综述来回答特定小组成员的问题;(3)定性和定量的患者意见;(4)团队成员的意见,包括代表临床试验重点患者群体的工作人员的意见。CASCADE支柱成功整合,产生了18个初始假设和6个最终假设,并转化为19项决策变更。 结论:CASCADE方法是在一项正在进行的、由联邦政府资助的临床试验中快速、高效地做出以患者为中心决策的有效工具。进一步发展的机会将包括探索最佳实践的结构程序、增加社区利益相关者在小组会前提供意见的机会,以及确定如何最好地规范CASCADE的产出。 试验注册:CASCADE程序是在NCT05999448的背景下开发的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/af7ea51355d0/12874_2025_2565_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/3531ccfc125e/12874_2025_2565_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/a470de413142/12874_2025_2565_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/4f5e526d7469/12874_2025_2565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/af7ea51355d0/12874_2025_2565_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/3531ccfc125e/12874_2025_2565_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/a470de413142/12874_2025_2565_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/4f5e526d7469/12874_2025_2565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2c/12211934/af7ea51355d0/12874_2025_2565_Fig4_HTML.jpg

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