Comparing Massage, Acupressure, and Combined Therapy for Managing Cancer-related Pain, Fatigue, and Sleep Disturbance: A 2 × 2 Factorial Randomized Controlled Trial

  • Sima Sadat Ghaemizade Shushtari Ahvaz Jundishapur University of Medical Sciences
  • Ann Blair Kennedy University of South Carolina; Prisma Health
  • Mina Jahangiri Tarbiat Modares University
  • Sharon Jackson White Emory University
  • Mojtaba Miladinia Ahvaz Jundishapur University of Medical Sciences https://orcid.org/0000-0002-6352-7008
  • Hossein Karimpourian Ahvaz Jundishapur University of Medical Sciences
Keywords: Complementary Medicine, Supportive Care, Symptom Management, Oncology, Palliative Medicine

Abstract

Background: Massage and acupressure are highly popular among cancer patients as non-invasive methods with different mechanisms that can target multiple coexisting symptoms. However, the comparative effectiveness between these two techniques is still unclear, particularly among patients with advanced cancer. Furthermore, it is unclear whether both approaches would have a synergistic effect if applied simultaneously. The main objective is to compare the efficacy of massage alone versus acupressure alone versus combined therapy (massage plus acupressure) for managing cancer-related symptom cluster of fatigue, pain, and sleep disturbance.

Methods: The 2-FAM-2 study is a four-arm, longitudinal, randomized trial comparing the efficacy of two complementary medicine techniques (massage alone vs. acupressure alone vs. combined therapy vs. control) for managing a fatigue–pain–sleep symptom cluster in patients with advanced cancer that will use a 2 × 2 factorial design with an equal allocation ratio. One hundred adult patients with advanced cancer who have all three symptoms of pain, fatigue, and sleep disturbance will be recruited. Four weeks of intervention and 4 weeks of follow-up with repeated measures will be part of the 8-week study period. The main outcome is the longitudinal trajectory (trend) in the intensity of the pain–sleep–fatigue symptom cluster over time, assessed via generalized estimating equations (GEE) at baseline, weekly during intervention (weeks 1–4), and at weeks 6 and 8 as follow-up. Self-reported fatigue, sleep disturbance, and pain items (0–10 scale) will be averaged to compute the symptom cluster intensity (SCI). Furthermore, a machine learning technique based on decision tree algorithms will be carried out to conduct a subgroup analysis aimed at predicting clinical outcomes for different interventions in homogeneous subgroups.

Discussion: The trial’s findings could be helpful in the development of clinical guidelines, individualization of intervention, as well as guiding clinical decisions and improving the quality of life of patients.

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Published
2025-12-11
How to Cite
Ghaemizade Shushtari, S. S. ., Kennedy, A. B., Jahangiri, M. ., White, S. J., Miladinia, M., & Karimpourian, H. . (2025). Comparing Massage, Acupressure, and Combined Therapy for Managing Cancer-related Pain, Fatigue, and Sleep Disturbance: A 2 × 2 Factorial Randomized Controlled Trial. International Journal of Therapeutic Massage & Bodywork, 18(4), 31–44. https://doi.org/10.3822/ijtmb.v18i4.1269