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Feasibility and acceptability of a self-management intervention supporting return to work for women with breast cancer

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posted on 2025-04-08, 11:09 authored by Naomi Algeo, Kathleen BennettKathleen Bennett, Louise Brennan, Deirdre Connolly

Introduction: Increased cancer survivorship has prompted focus on optimising quality of life, including work reintegration. Despite frequently cited return-to-work barriers for women with breast cancer, there are no conclusive work-focused interventions for this cohort. The aim of this study was to assess feasibility and acceptability of a self-management intervention supporting return-to-work for women with breast cancer.

Methods: A mixed-methods single-arm feasibility study evaluated intervention feasibility. Participants completed an online occupational therapy-led ‘Work and Cancer’ intervention over 6 weeks. Feasibility was determined by recruitment, adherence, retention and acceptability. Acceptability was also assessed through semi-structured interviews. Data were analysed using descriptive statistics and thematic analysis.

Results: Ten out of twelve participants who were approached, participated in the study. Retention and adherence was 100% and 90%, respectively. Every participant completed pre- and post-measures. Qualitative data indicated online and group format as enablers to intervention completion and juggling employment as a barrier.

Conclusion: It is feasible to recruit and retain participants to the ‘Work and Cancer’ intervention which was widely accepted by women with breast cancer. Large-scale evaluation will determine intervention effectiveness on work and health-related outcomes.

Funding

Irish Research Council Government of Ireland Postgraduate Programme Scholarship

History

Comments

The original article is available at https://journals.sagepub.com/

Published Citation

Algeo N, Bennett K, Brennan L, Connolly D. Feasibility and acceptability of a self-management intervention supporting return to work for women with breast cancer. Br J Occup Ther. 2025.

Publication Date

20 March 2025

Department/Unit

  • Data Science Centre
  • School of Population Health

Research Area

  • Population Health

Publisher

SAGE Publications

Version

  • Published Version (Version of Record)