全民癌症筛查决策辅助原型的快速共同开发过程。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2025-10-01 Epub Date: 2025-07-14 DOI:10.1177/0272989X251346894
Odilon Quentin Assan, Claude Bernard Uwizeye, Hervé Tchala Vignon Zomahoun, Oscar Nduwimana, Wilhelm Dubuisson, Guillaume Sillon, Danielle Bergeron, Stéphane Groulx, Wilber Deck, Anik Giguère, France Légaré
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引用次数: 0

摘要

如果与利益相关者共同开发并适应文化,决策辅助工具(DA)更有可能被采用。使用DEVELOPTOOLS报告清单,我们描述了一个快速共同开发的过程,该过程适用于全民癌症筛查项目的文化适应性数据原型。我们的系统化、协作式和迭代式方法论有7个阶段:1)通过采用最佳治理实践(例如,识别和吸引利益相关者,调整我们的协作式数据数据设计流程,验证开发流程)来建立流程,治理由来自广泛领域的20名个人组成,其中至少包括2名公民;2)通过进行系统综述,识别和分析与感兴趣的癌症筛查相关的现有DAs;3)与利益相关者分享结果并提出建议;4)通过开展e-Delphi调查,制定魁北克省的DA内容,咨询包括用户在内的利益相关者;5)按照国际数据分析标准,与包括用户在内的利益相关者共同设计原型;6)使用翻译-反翻译方法翻译数据并部署;7)知识动员(KMb),利用赠款结束和综合的KMb活动。使用以用户为中心的设计11项测量(UCD-11),我们提出的过程在UCD-11中获得了10分。总的来说,我们希望这一新的共同开发过程能够确保在合理的时间框架内产生高质量、以用户为中心和适应文化的癌症筛查da。我们也期望它能促进《发展纲领》的通过。我们报告了与不同利益相关者合作创建文化适应决策辅助(DA)原型的7个步骤过程,用于决定加拿大魁北克的癌症筛查。确保数据数据原型设计包括用户和其他相关方,并反映他们的需求、看法、价值观和偏好。〇对现有的癌症检查DA进行查找和分析,以确定我们的DA应该包括哪些内容〇尊重DA设计的国际标准和标准〇专家对具体内容的反复协商,并在每次协商中进行修改。这种方法有助于根据用户的兴趣快速创建DA,并最终促进共同决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Process for Rapid Co-development of a Decision Aid Prototype for Population-wide Cancer Screening.

Process for Rapid Co-development of a Decision Aid Prototype for Population-wide Cancer Screening.

Process for Rapid Co-development of a Decision Aid Prototype for Population-wide Cancer Screening.

Process for Rapid Co-development of a Decision Aid Prototype for Population-wide Cancer Screening.

Decision aids (DA) are more likely to be adopted if co-developed with stakeholders and culturally adapted. Using the DEVELOPTOOLS Reporting Checklist, we describe a process for rapid co-development of a culturally adapted DA prototype for population-wide cancer-screening programs. Our systematic, collaborative, and iterative methodology had 7 phases: 1) set up the process by adopting best governance practices (e.g., identify and engage stakeholders, adapt our collaborative DA design process, validate development process), with governance comprising 20 individuals from a wide range of sectors including at least 2 citizens; 2) identify and analyze existing DAs relevant to the cancerscreening of interest by conducting a systematic review; 3) share results with stakeholders and make recommendations; 4) formulate Quebec-specific DA content and consult stakeholders including users by conducting e-Delphi surveys; 5) co-design a prototype with stakeholders, including users, following international DA standards; 6) translate the DA using translation-back translation approaches and deploy; and 7) knowledge mobilization (KMb) using end-of-grant and integrated KMb activities. Using the User-Centred Design 11-Item Measure (UCD-11), our proposed process scored 10 of 11 on the UCD-11. Overall, we expect this new co-developed process to ensure that good-quality, user-centered, and culturally adapted DAs for cancer screening are produced within reasonable timeframes. We also expect it to foster the adoption of the DAs.HighlightsWe report on a 7-step process for collaborating with various stakeholders to create a culturally adapted decision aid (DA) prototype for deciding about cancer screening in Quebec, Canada.The process includes: ○ Making sure the DA prototype design includes users and other interested parties and reflects their needs, perceptions, values, and preferences.○ Finding and analyzing existing DAs on cancer screening to decide what ours should include○ Respecting international standards and criteria for DA design○ Repeated rounds of expert consensus about the exact content, with revisions between each roundThis method could help the rapid creation of DAs shaped by users' interests and will ultimately encourage shared decision making.

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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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