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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

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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. / Rietjens, Judith A. C.; Griffioen, Ingeborg; Sierra-Pérez, Jorge et al.
In: Palliative Care and Social Practice, Vol. 18, 1-15, 31.01.2024.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Rietjens, JAC, Griffioen, I, Sierra-Pérez, J, Sroczynski, G, Siebert, U, Buyx, A, Peric, B, Svane, IM, Brands, JBP, Steffensen, KD, Romero Piqueras, C, Hedayati, E, Karsten, MM, Couespel, N, Akoglu, C, Pazo-Cid, R, Rayson, P, Lingsma, HF, Schermer, MHN, Steyerberg, EW, Payne, SA, Korfage, IJ, Stiggelbout, AM, Oliveira, CC, Semino, E, Roobol, M, López-Forniés, I, Kunneman, M, Verberne, S, Kuld, A, van Mulligen, EM, Knudsen, BM, Kors, JA, Venderbos, LDF, Donia, M, Koppert, LB, Nwosu, AC, Verheul, EM, Sañudo, Y, Kremer, M, Gracia, J, Antón, A, Schreijer, M, Bangma, C, Hartman, L, van Klaveren, D, Valles, MA, Pitarch, L, Hallsson, LR, Wouters, M, Kapiteijn, E, de Glas, N, van Buchem, M, Doornkamp, F, Borštnar, S, Wee, L, Pross, T, Silva, M, Venegoni, E, Lorenzo, N, Wallberg, S, Dankl, K, de Jesús, TP, Romera, JL, Pons, PG, Signerez, PM, Secomandi, F & Snelders, D 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, vol. 18, 1-15. https://doi.org/10.1177/26323524231225249

APA

Rietjens, J. A. C., Griffioen, I., Sierra-Pérez, J., Sroczynski, G., Siebert, U., Buyx, A., Peric, B., Svane, I. M., Brands, J. B. P., Steffensen, K. D., Romero Piqueras, C., Hedayati, E., Karsten, M. M., Couespel, N., Akoglu, C., Pazo-Cid, R., Rayson, P., Lingsma, H. F., Schermer, M. H. N., ... Snelders, D. (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, Article 1-15. https://doi.org/10.1177/26323524231225249

Vancouver

Rietjens JAC, Griffioen I, Sierra-Pérez J, Sroczynski G, Siebert U, Buyx A et al. 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. 2024 Jan 31;18:1-15. doi: 10.1177/26323524231225249

Author

Rietjens, Judith A. C. ; Griffioen, Ingeborg ; Sierra-Pérez, Jorge et al. / 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. In: Palliative Care and Social Practice. 2024 ; Vol. 18.

Bibtex

@article{7e0e3fd236634ffeb3ffb0487e1c3dd5,
title = "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",
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{\textquoteright} care paths. Aim and objectives:: The central aim of the 4D PICTURE project is to redesign patients{\textquoteright} 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.",
keywords = "artificial intelligence, ethics, care paths, design, public health, prognostic modelling, shared decision-making, cost-effectiveness, communication",
author = "Rietjens, {Judith A. C.} and Ingeborg Griffioen and Jorge Sierra-P{\'e}rez and Gaby Sroczynski and Uwe Siebert and Alena Buyx and Barbara Peric and Svane, {Inge Marie} and Brands, {Jasper B. P.} and Steffensen, {Karina D.} and {Romero Piqueras}, Carlos and Elham Hedayati and Karsten, {Maria M.} and Norbert Couespel and Canan Akoglu and Roberto Pazo-Cid and Paul Rayson 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 Elena Semino and Monique Roobol and Ignacio L{\'o}pez-Forni{\'e}s and Marleen Kunneman and Suzan Verberne and Anne Kuld and {van Mulligen}, {Erik M.} and Knudsen, {Bettina M{\o}lri} and Kors, {Jan A.} and Venderbos, {Lionne D. F.} and Marco Donia and Koppert, {Linetta B.} and Nwosu, {Amara C.} and Verheul, {Elfi M.} and Yeray Sa{\~n}udo and Marie Kremer and Jorge Gracia and Antonio Ant{\'o}n and Maud Schreijer and Chris Bangma and Laura Hartman and {van Klaveren}, David and Valles, {Monserrat Aiger} and Lucia Pitarch and Hallsson, {Lara R.} and Michel Wouters and Ellen Kapiteijn and {de Glas}, Nienke and {van Buchem}, Marieke and Frank Doornkamp and Simona Bor{\v s}tnar and Leonard Wee and Therese Pross and Marta Silva and Enea Venegoni and Nora Lorenzo and Susanne Wallberg and Kathrina Dankl and {de Jes{\'u}s}, {Teresa Pu{\'e}rtolas} and Romera, {Juan Lao} and Pons, {Paula Gomila} and Signerez, {Paula Melo} and Fernando Secomandi and Dirk Snelders",
year = "2024",
month = jan,
day = "31",
doi = "10.1177/26323524231225249",
language = "English",
volume = "18",
journal = "Palliative Care and Social Practice",
issn = "2632-3524",
publisher = "Sage",

}

RIS

TY - JOUR

T1 - Improving shared decision-making about cancer treatment through design-based data-driven decision-support tools and redesigning care paths

T2 - an overview of the 4D PICTURE project

AU - Rietjens, Judith A. C.

AU - Griffioen, Ingeborg

AU - Sierra-Pérez, Jorge

AU - Sroczynski, Gaby

AU - Siebert, Uwe

AU - Buyx, Alena

AU - Peric, Barbara

AU - Svane, Inge Marie

AU - Brands, Jasper B. P.

AU - Steffensen, Karina D.

AU - Romero Piqueras, Carlos

AU - Hedayati, Elham

AU - Karsten, Maria M.

AU - Couespel, Norbert

AU - Akoglu, Canan

AU - Pazo-Cid, Roberto

AU - Rayson, Paul

AU - Lingsma, Hester F.

AU - Schermer, Maartje H. N.

AU - Steyerberg, Ewout W.

AU - Payne, Sheila A.

AU - Korfage, Ida J.

AU - Stiggelbout, Anne M.

AU - Oliveira, Claudia Cruz

AU - Semino, Elena

AU - Roobol, Monique

AU - López-Forniés, Ignacio

AU - Kunneman, Marleen

AU - Verberne, Suzan

AU - Kuld, Anne

AU - van Mulligen, Erik M.

AU - Knudsen, Bettina Mølri

AU - Kors, Jan A.

AU - Venderbos, Lionne D. F.

AU - Donia, Marco

AU - Koppert, Linetta B.

AU - Nwosu, Amara C.

AU - Verheul, Elfi M.

AU - Sañudo, Yeray

AU - Kremer, Marie

AU - Gracia, Jorge

AU - Antón, Antonio

AU - Schreijer, Maud

AU - Bangma, Chris

AU - Hartman, Laura

AU - van Klaveren, David

AU - Valles, Monserrat Aiger

AU - Pitarch, Lucia

AU - Hallsson, Lara R.

AU - Wouters, Michel

AU - Kapiteijn, Ellen

AU - de Glas, Nienke

AU - van Buchem, Marieke

AU - Doornkamp, Frank

AU - Borštnar, Simona

AU - Wee, Leonard

AU - Pross, Therese

AU - Silva, Marta

AU - Venegoni, Enea

AU - Lorenzo, Nora

AU - Wallberg, Susanne

AU - Dankl, Kathrina

AU - de Jesús, Teresa Puértolas

AU - Romera, Juan Lao

AU - Pons, Paula Gomila

AU - Signerez, Paula Melo

AU - Secomandi, Fernando

AU - Snelders, Dirk

PY - 2024/1/31

Y1 - 2024/1/31

N2 - 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.

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.

KW - artificial intelligence

KW - ethics

KW - care paths

KW - design

KW - public health

KW - prognostic modelling

KW - shared decision-making

KW - cost-effectiveness

KW - communication

U2 - 10.1177/26323524231225249

DO - 10.1177/26323524231225249

M3 - Journal article

VL - 18

JO - Palliative Care and Social Practice

JF - Palliative Care and Social Practice

SN - 2632-3524

M1 - 1-15

ER -