Patient preference attributes in eHealth interventions for cancer-related fatigue: A scoping review

Lian Beenhakker*, Annemieke Witteveen, Kim A.E. Wijlens, Ester J.M. Siemerink, Marije van der Lee, Christina Bode, Sabine Siesling, Miriam M.R. Vollenbroek-Hutten

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

6 Citations (Scopus)
90 Downloads (Pure)

Abstract

Introduction
Cancer-related fatigue (CRF) is one of the most reported long-term effects breast cancer patients experience after diagnosis. Many interventions for CRF are effective, however, not for every individual. Therefore, intervention advice should be adjusted to patients' preferences and characteristics. Our aim was to develop an overview of eHealth interventions and their (preference sensitive) attributes.
Methods
eHealth interventions were identified using a scoping review approach. Eligible studies included breast cancer patients and assessed CRF as outcome. Interventions were categorised as physical activity, mind–body, psychological, ‘other’ or ‘combination’. Information was extracted on various (preference sensitive) attributes, like duration, intensity, peer support and costs.
Results
Thirty-five interventions were included and divided over the intervention categories. (Preference sensitive) attributes varied both within and between these categories. Duration varied from 4 weeks to 6 months, intensity from daily to own pace. Peer support was present in seven interventions and costs were known for six.
Conclusion
eHealth interventions exist in various categories, additionally, there is much variation in (preference sensitive) attributes. This provides opportunities to implement our overview for personalised treatment recommendations for breast cancer patients struggling with CRF. Taking into account patients' preferences and characteristics suits the complexity of CRF and heterogeneity of patients.
Original languageEnglish
Article numbere13754
JournalEuropean journal of cancer care
Volume31
Issue number6
Early online date16 Nov 2022
DOIs
Publication statusPublished - Nov 2022

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