EHealth intervention for quality of life in long-term breast cancer survivors: Randomized controlled trial
Mené sur 201 patientes ayant survécu au moins 5 ans à un cancer du sein, cet essai randomisé évalue l'efficacité, du point de vue de l'amélioration de la qualité de vie, d'une application mobile pour promouvoir la santé et prendre en charge des séquelles
Background: Digital health interventions have shown promise for improving quality of life, especially in the short term after treatment. However, evidence regarding long-term breast cancer survivors (LT-BCSs; disease free >5 years) remains limited. This study aimed to evaluate the effectiveness of an eHealth intervention targeting health promotion and late sequelae management to improve LT-BCSs’ quality of life.
Methods: In a randomized controlled clinical trial, 201 LT-BCSs (mean 11 years posttreatment) were randomly assigned to an interventio group (n = 102) using the CUMACA-M mobile application with specific health advice and recommendations for LT-BCSs, or a control group (n = 99) receiving usual care. Quality of life was measured with the Quality of Life–Cancer Survivors scale (QOL-CS) at baseline and after 3 months. Analyses followed an intention-to-treat approach using t-tests, nonparametric tests, and effect sizes.
Results: At three months, no statistically or clinically significant differences between the groups in the overall quality of life score (QOL-CS) were found (difference of differences = 0.11; 95% CI -0.10 to 0.32; p = .303). In the intervention group, a small intragroup decrease in spiritual well-being was observed -0.25 (-0.49 to -0.02), of uncertain clinical significance; no significant differences between groups were detected.
Conclusions: This eHealth intervention did not improve the quality of life of LT-BCSs, suggesting that more personalized, interactive, or professionally supported strategies may be needed. Future research should evaluate the long-term outcomes and effectiveness of hybrid or personalized digital strategies in this population.
Journal of the National Cancer Institute , article en libre accès, 2026