Rietjens, Judith A. C. and Griffioen, Ingeborg and Sierra-Pérez, Jorge and Sroczynski, Gaby and Siebert, Uwe and Buyx, Alena and Peric, Barbara and Svane, Inge Marie and Brands, Jasper B. P. and Steffensen, Karina D. and Romero Piqueras, Carlos and Hedayati, Elham and Karsten, Maria M. and Couespel, Norbert and Akoglu, Canan and Pazo-Cid, Roberto and Rayson, Paul and Lingsma, Hester F. and Schermer, Maartje H. N. and Steyerberg, Ewout W. and Payne, Sheila A. and Korfage, Ida J. and Stiggelbout, Anne M. and Oliveira, Claudia Cruz and Semino, Elena and Roobol, Monique and López-Forniés, Ignacio and Kunneman, Marleen and Verberne, Suzan and Kuld, Anne and van Mulligen, Erik M. and Knudsen, Bettina Mølri and Kors, Jan A. and Venderbos, Lionne D. F. and Donia, Marco and Koppert, Linetta B. and Nwosu, Amara C. and Verheul, Elfi M. and Sañudo, Yeray and Kremer, Marie and Gracia, Jorge and Antón, Antonio and Schreijer, Maud and Bangma, Chris and Hartman, Laura and van Klaveren, David and Valles, Monserrat Aiger and Pitarch, Lucia and Hallsson, Lara R. and Wouters, Michel and Kapiteijn, Ellen and de Glas, Nienke and van Buchem, Marieke and Doornkamp, Frank and Borštnar, Simona and Wee, Leonard and Pross, Therese and Silva, Marta and Venegoni, Enea and Lorenzo, Nora and Wallberg, Susanne and Dankl, Kathrina and de Jesús, Teresa Puértolas and Romera, Juan Lao and Pons, Paula Gomila and Signerez, Paula Melo and Secomandi, Fernando and Snelders, Dirk (2024) 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. Palliative Care and Social Practice, 18: 1-15. ISSN 2632-3524
Full text not available from this repository.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.