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Pilot Study of an Internet-Based Self-Management Program for Symptom Control in Patients With Early-Stage Breast

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An internet-based self-management program improved chronic symptoms like pain, insomnia, and fatigue in breast cancer survivors. This lifestyle intervention showed significant benefits, particularly for those reporting fatigue as their main concern.

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Area of Science:

  • Oncology
  • Behavioral Science
  • Digital Health

Background:

  • Breast cancer survivors frequently experience chronic symptoms such as pain, insomnia, and fatigue.
  • Effective therapeutic options for these persistent symptoms remain limited.
  • Behavioral management programs have demonstrated success in managing similar symptom clusters in other chronic conditions.

Purpose of the Study:

  • To evaluate the impact of an Internet-based lifestyle and behavioral self-management program on cancer-related symptoms in breast cancer survivors.
  • To assess the program's effectiveness in improving symptom severity and overall well-being.

Main Methods:

  • A cohort of women with stage 0-3 breast cancer experiencing insomnia, pain, or fatigue were enrolled.
  • Participants completed electronic assessments using the Patient-Reported Outcomes Measurement Information System (PROMIS)-29 Profile and Patient Global Impression of Change (PGIC) at baseline and after 8 weeks.
  • Changes in eight symptom domains were analyzed.

Main Results:

  • Statistically significant improvements were observed in anxiety, sleep, fatigue, activity level, and pain severity among 45 participants with complete data.
  • Over 60% of respondents reported improvement in their primary symptom.
  • Survivors reporting fatigue as their primary symptom experienced the greatest overall benefit across multiple symptom domains.

Conclusions:

  • The Internet-delivered lifestyle and behavioral management program shows promise for improving multiple symptoms in breast cancer survivors.
  • Further randomized controlled trials are recommended to compare this online intervention with standard care and identify patient subgroups who may benefit most.