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
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...
2024: Palliative care and social practice