Real-world implementation of a decision aid for treatment decisions in metastatic pancreatic cancer: a prospective multicenter study across expert centers

Abstract Background Treatment decisions in metastatic pancreatic adenocarcinoma (mPAC) involve complex trade-offs between survival benefits and treatment burden. Shared decision-making (SDM) is crucial but challenging in emotionally charged and time-pressured consultations. This study evaluated the real-world implementation of a decision aid to support SDM in treatment decisions in mPAC care. Materials and methods In this prospective, multicenter study across ten Dutch expert centers, patients with mPAC and their clinicians used a newly-developed decision aid during consultations for treatment decisions. Data were collected on preferences, decision aid use, and final treatment choices, supplemented by surveys and interviews assessing feasibility and experiences. Outcomes included decision aid use, user experience, and concordance of final treatment decision with physician and patient preferences. Results A total of 68 clinicians participated and 227 patients were counseled using the decision aid, of whom 181 patients consented to participate in the implementation study, and 135 patients used the online decision aid. Patients who received consideration time were more likely to use the decision aid (p < 0.01). Both patients and clinicians rated the decision aid positively (median score 8/10). Discordance between physician and patient preferences regarding treatment decisions was observed in 37%. Conclusion A structured decision aid can be successfully implemented in real-world mPAC care and was highly valued by both patients and clinicians. Differences between clinician preference, patient preference, and ultimate treatment decision were frequently observed, highlighting the need to consider treatment decision making as an ongoing process that allows time for reflection and dialogue.

Authors

Institutions

Publication Details

Journal
The Oncologist
Published
2026-09-29
DOI
https://doi.org/10.1093/oncolo/oyag373
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Real-world implementation of a decision aid for treatment decisions in metastatic pancreatic cancer: a prospective multicenter study across expert centers

Liselot Valkenburg‐van Iersel, Sietske van Nassau, Miriam L. Wumkes, Judith de Vos‐Geelen et al.
The Oncologist
Patient-Provider Communication in Healthcare
article

Real-world implementation of a decision aid for treatment decisions in metastatic pancreatic cancer: a prospective multicenter study across expert centers

Liselot Valkenburg‐van Iersel, Sietske van Nassau, Miriam L. Wumkes, Judith de Vos‐Geelen, Merlijn U.J.E. Graus, HWM van Laarhoven, Saskia A. C. Luelmo, Marcel den Dulk, Geert A. Cirkel, Irene E.G. van Hellemond, Marjolein Y.V. Homs, Thijmen H.T. Broekman, Mirte Mayke Streppel, Nicol Pepels-Aarts, Maartje Los, Johanna W. Wilmink, Hjalmar C. van Santvoort, Ignace H J T de Hingh, Brigitte C. M. Haberkorn, for the Dutch Pancreatic Cancer Group, H Wilmink, G Patijn, E Manusama, B Bonsing, L Daamen, L Brouwer-Hol, E Hendriksen, M Stommel, C van Eijck, V de Meijer, M Bijlsma, A Farina Saraqueta, M Bruno, M Streppel, M Besselink, M Wumkes, M Homs, I de Hingh, R voermans, S Luelmo, O Busch, I Verpalen, G Kazemier, J de Vos-Geelen, Karlijn E P E Hermans, Q Molenaar, J van Hooft, B Groot Koerkamp, Sasja F Mulder, L van der Geest, L Brosens
article en

Abstract

Abstract Background Treatment decisions in metastatic pancreatic adenocarcinoma (mPAC) involve complex trade-offs between survival benefits and treatment burden. Shared decision-making (SDM) is crucial but challenging in emotionally charged and time-pressured consultations. This study evaluated the real-world implementation of a decision aid to support SDM in treatment decisions in mPAC care. Materials and methods In this prospective, multicenter study across ten Dutch expert centers, patients with mPAC and their clinicians used a newly-developed decision aid during consultations for treatment decisions. Data were collected on preferences, decision aid use, and final treatment choices, supplemented by surveys and interviews assessing feasibility and experiences. Outcomes included decision aid use, user experience, and concordance of final treatment decision with physician and patient preferences. Results A total of 68 clinicians participated and 227 patients were counseled using the decision aid, of whom 181 patients consented to participate in the implementation study, and 135 patients used the online decision aid. Patients who received consideration time were more likely to use the decision aid (p < 0.01). Both patients and clinicians rated the decision aid positively (median score 8/10). Discordance between physician and patient preferences regarding treatment decisions was observed in 37%. Conclusion A structured decision aid can be successfully implemented in real-world mPAC care and was highly valued by both patients and clinicians. Differences between clinician preference, patient preference, and ultimate treatment decision were frequently observed, highlighting the need to consider treatment decision making as an ongoing process that allows time for reflection and dialogue.

The Oncologist
Radboud University Nijmegen (NL), Utrecht University (NL), Leiden University Medical Center (NL), Maastricht University Medical Centre (NL), Catharina Ziekenhuis (NL), Radboud University Medical Center (NL), University Medical Center Utrecht (NL), Maastricht University (NL), St. Antonius Ziekenhuis (NL), Amphia Ziekenhuis (NL), Maasstad Ziekenhuis (NL), Radboud Institute for Molecular Life Sciences (NL), Erasmus MC Cancer Institute (NL), Amsterdam University Medical Centers (NL), Jeroen Bosch Ziekenhuis (NL), Maastro Clinic (NL), University of Amsterdam (NL)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Patient-Provider Communication in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.