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.

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-supp...

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Publicado en:Palliative Care & Social Practice pp. 1 - 16
Autores principales: 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.
Formato: protocol tables/charts Journal Article
Publicado: Sage Publications Inc. 2/12/2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2/12/2024
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        atl: 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.
      aug:
        au:
          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.
        affil: Conceptualization, Department of Design, Organisation and Strategy, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands
      sug:
        subj:
          Decision Making, Shared
          Decision Support Techniques
          Professional Practice, Evidence-Based
          Oncologic Care
          Critical Path
          Decision Making, Ethical
          Algorithms
          Implementation Science
          Data Mining
          Breast Neoplasms Therapy
          Prostatic Neoplasms Therapy
          Melanoma Therapy
          Breast Neoplasms Prognosis
          Prostatic Neoplasms Prognosis
          Melanoma Prognosis
      ab: 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. Plain language summary: Improving the cancer patient journey and respecting personal preferences: an overview of the 4D PICTURE project The 4D PICTURE project aims to help cancer patients, their families and healthcare providers better undertstand their options. It supports their treatment and care choices, at each stage of disease, by drawing on large amounts of evidence from different types of European data. The project involves experts from many different specialist areas who are based in nine European countries. The overall aim is to improve the cancer patient journey and ensure personal preferences are respected.
      pubtype: Academic Journal
      doctype:
        protocol
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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