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通过基于设计的数据驱动决策支持工具和重新设计护理路径来改善癌症治疗的共同决策:4D PICTURE项目概述

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.

作者信息

Rietjens Judith A C, Griffioen Ingeborg, Sierra-Pérez Jorge, Sroczynski Gaby, Siebert Uwe, Buyx Alena, Peric Barbara, Svane Inge Marie, Brands Jasper B P, Steffensen Karina D, Romero Piqueras Carlos, Hedayati Elham, Karsten Maria M, Couespel Norbert, Akoglu Canan, Pazo-Cid Roberto, Rayson Paul, Lingsma Hester F, Schermer Maartje H N, Steyerberg Ewout W, Payne Sheila A, Korfage Ida J, Stiggelbout Anne M

机构信息

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, Rotterdam 3000 CA, The Netherlands.

Department of Design, Organisation and Strategy, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.

出版信息

Palliat Care Soc Pract. 2024 Feb 12;18:26323524231225249. doi: 10.1177/26323524231225249. eCollection 2024.

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 (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.

摘要

背景

癌症患者常常需要就治疗方案做出复杂的决策,这些方案在风险状况以及对生存和生活质量的影响方面各不相同。此外,低效的护理路径使得患者难以参与共同决策。数据驱动的决策支持工具有可能增强患者能力、支持个性化护理、改善健康结局并促进健康公平。然而,决策支持工具目前很少考虑生活质量或个人偏好,其在临床实践中的应用仍然有限,部分原因是它们未很好地融入患者的护理路径。

目的

4D PICTURE项目的核心目标是重新设计患者的护理路径,并开发和整合基于证据的决策支持工具,以改善癌症护理中的决策过程。本文概述了这个国际跨学科项目。

设计方法与分析

我们将与患者及其他利益相关者共同创建,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。我们将通过使用包含最先进预后算法的大型高质量数据集来支持治疗决策。我们将结合文本挖掘、公民科学技术和语言学,进一步开发一种对话工具——隐喻菜单,纳入大量患者经历、价值观和偏好的数据集。我们将进一步开发一种有前景的方法——地铁映射法,以重新设计护理路径。我们将评估地铁映射法和这些综合决策支持工具,并使用(NASSS)框架确保其可持续性。我们将探索地铁映射法和决策支持工具对其他类型癌症以及其他欧盟成员国的可推广性。

伦理

通过嵌入式伦理方法,我们将解决社会和伦理问题。

讨论

整合全面决策支持工具的改进护理路径有可能增强患者、其重要他人和医疗服务提供者在决策方面的能力,并改善结局。该项目将通过提高其恢复力和效率来加强系统层面的医疗保健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bad/10863384/32d40757b3fb/10.1177_26323524231225249-fig1.jpg

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