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Working toward Personalized Intervention Advice: A Survey Study on Preference Heterogeneity in Patients with Breast
Lian Beenhakker1, Kim A E Wijlens1, Christina Bode2
1Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Breast cancer survivors show diverse preferences for cancer-related fatigue interventions. Personalizing advice based on these unique patient needs is crucial for improving treatment adherence and quality of life.
Area of Science:
- Oncology
- Patient-centered care
- Health psychology
Background:
- Cancer-related fatigue (CRF) significantly impacts breast cancer survivors' quality of life.
- Numerous interventions exist for managing CRF, but patient preferences are often overlooked.
- Tailoring interventions to individual patient preferences is key for effective management.
Purpose of the Study:
- To explore preference heterogeneity among breast cancer survivors regarding attributes of CRF interventions.
- To identify specific between-attribute and within-attribute preferences.
- To develop decision rules for matching patient preferences to suitable interventions.
Main Methods:
- A survey involving 67 breast cancer survivors was conducted.
- Best-worst scaling was used to determine preferences for nine intervention attributes.
- Between-attribute and within-attribute preferences, and their heterogeneity, were analyzed.
Main Results:
- Significant heterogeneity was found in survivors' preferences for CRF intervention attributes.
- Cost, proven effectiveness, and intervention type were highly ranked attributes.
- Only 19% of participants shared the most common preference pattern, highlighting significant diversity.
Conclusions:
- Patient preferences for CRF interventions are highly heterogeneous.
- Simple decision rules can effectively link diverse preferences to interventions.
- Personalized intervention advice is essential for enhancing patient engagement and outcomes.
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