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Shared decision making with breast cancer patients – does it work?
284 Pilot evaluation of a patients-like-me dashboard to support shared decision-making about breast cancer treatment
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  1. Anne Vogelaar1,
  2. Anneriet E Dassen2,
  3. Yvonne EA Van Riet3,
  4. Annemiek Doeksen4,
  5. Marjolein CH Pleunis2,
  6. Sabine Siesling5,6,
  7. Merel J Van Hoek1,
  8. Jet W Ankersmid1,
  9. Cornelia F Van Uden-Kraan1
  1. 1Santeon Group, Utrecht, The Netherlands
  2. 2Department of Surgery, Medisch Spectrum Twente, Enschede, The Netherlands
  3. 3Department of Surgery, Catharina Hospital, Eindhoven, The Netherlands
  4. 4Department of Surgery, Canisius Wilhelmina Hospital, Nijmegen The Netherlands
  5. 4Department of Surgery St. Antonius Ziekenhuis, Utrecht, The Netherlands
  6. 5Department of Health Technology and Services Research, University of Twente, Enschede, The Netherlands
  7. 6Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands

Abstract

Introduction Currently, decisions about breast cancer treatment are primarily based on prognosis. However, long-term outcomes such as pain or fatigue are also important in deciding on treatment options. A patients-like-me (PLM) dashboard incorporating clinical and patient reported outcomes informs patients on personalised outcomes from patients with similar personal and tumour characteristics. A pilot evaluation was conducted to assess initial experiences, including perceived usefulness and satisfaction in supporting SDM.

Methods In-depth duo interviews with patients (n=10) and clinicians (n=5) were performed following usage of the dashboard during a consultation. Additionally 12 interviews with clinicians were conducted about perceived barriers and facilitators. Interviews were transcribed (verbatim) and analyzed using thematic content analysis.

Results Both patients and clinicians indicated that the dashboard was understandable, accessible, and supportive during consultations and experienced added value for SDM. Patients were positive about the range of PROMs outcomes included and the visualisation. Clinicians struggled with available time and amount of information provided. Recommendations for optimization included the reduction of the amount of information presented.

Discussion The PLM dashboard can facilitate the integration of outcome data in supporting patients and clinicians in SDM on treatment decisions. Before implementation clinicians should be trained in using the dashboard; in example by supporting patients in agenda setting for the consultation based on the PLM dashboard. Furthermore it should be explored if clinicians or nurse practitioners should discuss the dashboard with the patient.

Conclusions Study results showed that PLM dashboard was evaluated positively in supporting SDM.

Abstract 284 Figure 1
Abstract 284 Figure 1

https://doi.org/10.1136/bmjebm-2024-SDC.283

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