Improving shared decision-making about cancer treatment through design-based data-driven decision-support tools and redesigning care paths: an overview of the 4D PICTURE project.

IF 2.7 Q2 HEALTH CARE SCIENCES & SERVICES
Palliative Care and Social Practice Pub Date : 2024-02-12 eCollection Date: 2024-01-01 DOI:10.1177/26323524231225249
Judith A C Rietjens, Ingeborg Griffioen, Jorge Sierra-Pérez, Gaby Sroczynski, Uwe Siebert, Alena Buyx, Barbara Peric, Inge Marie Svane, Jasper B P Brands, Karina D Steffensen, Carlos Romero Piqueras, Elham Hedayati, Maria M Karsten, Norbert Couespel, Canan Akoglu, Roberto Pazo-Cid, Paul Rayson, Hester F Lingsma, Maartje H N Schermer, Ewout W Steyerberg, Sheila A Payne, Ida J Korfage, Anne M Stiggelbout
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引用次数: 0

Abstract

Background: Patients with cancer often have to make complex decisions about treatment, with the options varying in risk profiles and effects on survival and quality of life. Moreover, inefficient care paths make it hard for patients to participate in shared decision-making. Data-driven decision-support tools have the potential to empower patients, support personalized care, improve health outcomes and promote health equity. However, decision-support tools currently seldom consider quality of life or individual preferences, and their use in clinical practice remains limited, partly because they are not well integrated in patients' care paths.

Aim and objectives: The central aim of the 4D PICTURE project is to redesign patients' care paths and develop and integrate evidence-based decision-support tools to improve decision-making processes in cancer care delivery. This article presents an overview of this international, interdisciplinary project.

Design methods and analysis: In co-creation with patients and other stakeholders, we will develop data-driven decision-support tools for patients with breast cancer, prostate cancer and melanoma. We will support treatment decisions by using large, high-quality datasets with state-of-the-art prognostic algorithms. We will further develop a conversation tool, the Metaphor Menu, using text mining combined with citizen science techniques and linguistics, incorporating large datasets of patient experiences, values and preferences. We will further develop a promising methodology, MetroMapping, to redesign care paths. We will evaluate MetroMapping and these integrated decision-support tools, and ensure their sustainability using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework. We will explore the generalizability of MetroMapping and the decision-support tools for other types of cancer and across other EU member states.

Ethics: Through an embedded ethics approach, we will address social and ethical issues.

Discussion: Improved care paths integrating comprehensive decision-support tools have the potential to empower patients, their significant others and healthcare providers in decision-making and improve outcomes. This project will strengthen health care at the system level by improving its resilience and efficiency.

通过基于设计的数据驱动型决策支持工具和重新设计护理路径,改善癌症治疗的共同决策:4D PICTURE 项目概述。
背景:癌症患者往往需要就治疗做出复杂的决定,因为各种治疗方案的风险、对生存和生活质量的影响各不相同。此外,低效的治疗路径使患者难以参与共同决策。数据驱动的决策支持工具具有增强患者能力、支持个性化护理、改善医疗效果和促进医疗公平的潜力。然而,决策支持工具目前很少考虑生活质量或个人偏好,在临床实践中的使用仍然有限,部分原因是这些工具没有很好地融入患者的护理路径:4D PICTURE 项目的核心目标是重新设计患者的治疗路径,开发并整合循证决策支持工具,以改善癌症治疗的决策过程。本文概述了这一国际跨学科项目的设计方法和分析:在与患者和其他利益相关者共同创造的过程中,我们将为乳腺癌、前列腺癌和黑色素瘤患者开发数据驱动的决策支持工具。我们将利用大型高质量数据集和最先进的预后算法为治疗决策提供支持。我们将进一步开发对话工具 "隐喻菜单",将文本挖掘与公民科学技术和语言学相结合,并将患者的经验、价值观和偏好纳入大型数据集。我们将进一步开发一种很有前景的方法--MetroMapping,以重新设计护理路径。我们将对 MetroMapping 和这些综合决策支持工具进行评估,并利用 "不采用、放弃、扩大、传播和可持续性"(NASSS)框架确保其可持续性。我们将探索 MetroMapping 和决策支持工具在其他类型癌症和欧盟其他成员国中的可推广性:通过嵌入式伦理方法,我们将解决社会和伦理问题:整合综合决策支持工具的改进型护理路径有可能增强患者、其重要他人和医疗服务提供者的决策能力,并改善治疗效果。该项目将在系统层面加强医疗保健,提高其复原力和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Palliative Care and Social Practice
Palliative Care and Social Practice Nursing-Advanced and Specialized Nursing
CiteScore
2.90
自引率
0.00%
发文量
37
审稿时长
9 weeks
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