ArticleJournal of cancer survivorship : research and practice2025
"Let's talk about risk": co-designing a pathway to assess, communicate and act on individual risk of long-term toxicities after breast cancer.
Article in Journal of cancer survivorship : research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06479057 (Integrating PROACTive Care Pathways to Empower and Support Cancer Patients), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Integrating PROACTive Care Pathways to Empower and Support Cancer Patients (PROACT)
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Co-research in the development of AI and digital health tools for cancer management and care: a systematic review.BMC health services research · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeSurvivors of breast cancer (BC) may endure significant and persistent post-treatment burdens that negatively impact overall quality of life. We previously developed risk prediction algorithms to identify individual patient profiles at increased risk for long-term toxicities. To prepare for the implementation of these risk algorithms in routine care, we performed a study to assess preferences, catalysts, and barriers concerning communication of individual risk of long-term BC toxicities. The goal was to co-design a pathway for risk assessment, communication, and management starting at diagnosis.
methodsA co-design study was performed using a participatory research framework and qualitative methods. Two phases of focus groups (FG) were conducted to assess the perspective of patients and providers through an iterative process of Exploration, Consultation, Prioritization, Integration and Co-design. Discussions were guided by four main questions: Who should communicate the risk? When should the risk be communicated? How should the risk be communicated? What information should be communicated, and care proposed?. FG discussions were recorded, pseudo-anonymized, transcribed and evaluated through a thematic content analysis. Results were reported following the consolidated criteria for reporting qualitative research (COREQ).
resultsSix FG were conducted between July 2022 and August 2023, with a total of 28 participants (8 patients and 20 providers). Results revealed a strong willingness to discuss the risk of long-term toxicities, particularly for patients who would present with a higher risk of toxicities. However, this willingness was contingent on the implementation of supportive care pathways that offer personalized communication strategies and risk mitigation approaches tailored to each patient's need.
conclusionsThis study found that both patients and providers are interested in, and willing to engage in, the assessment, communication and mitigation of long-term toxicities from the time of diagnosis. To address this need in routine care, a tailored pathway was co-designed and will undergo formal testing in a hybrid Type 3 effectiveness/implementation clinical trial (NCT06479057). IMPLICATIONS FOR CANCER SURVIVORS: This study assessed the needs, preferences and expectations of patients and providers for implementing a care pathway to assess, communicate and mitigate the risk of long-term toxicities after breast cancer treatment using risk prediction algorithms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.