Prospective surveillance model in the home for breast cancer-related lymphoedema: a feasibility study

Louise A. Koelmeyer*, Emma Moloney, John Boyages, Kerry A. Sherman, Catherine M. Dean

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Purpose: The aim of this study was to assess the feasibility of delivering a prospective surveillance model in the home over 6 months for women at high risk of developing lymphoedema. Methods: A single-group, intervention study recruited 20 women who had surgical and medical treatment for confirmed node-positive invasive breast cancer and therefore at high risk of developing arm lymphoedema. Participants received a package including Bioimpedance Spectroscopy (BIS) monitoring, lymphoedema education and support to promote self-management and physical activity. Results: Participants adhered to BIS monitoring 74% of the time, and felt extremely confident in using the device. By 6 months, mean BIS L-Dex scores had increased from 3.5 (SD 5.6) to 8.4 (SD 11.1); five women (25%) who experienced > + 6.5 increase in L-Dex score were fitted with a compression garment. Self-reported symptoms and distress decreased by 0.4 out of 10 (95% CI 0.1 to 0.7); number of self-management strategies used increased by 0.6 (95% CI 0.1 to 1.2); and planned exercise increased by 2.8 h/week (95% CI 0.4 to 5.2). Conclusions: These findings indicate a prospective surveillance model of care in the home with BIS is feasible and associated with increased self-management. A Phase II randomised trial is warranted as well as research exploring the costs associated with implementing this model of care for high-risk individuals.

Original languageEnglish
Pages (from-to)401-412
Number of pages12
JournalBreast Cancer Research and Treatment
Issue number2
Early online date1 Oct 2020
Publication statusPublished - Jan 2021


  • Bioimpedance spectroscopy (BIS)
  • Breast cancer-related lymphoedema
  • Feasibility
  • Home monitoring
  • Phase I trial
  • Prospective surveillance model


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