ArticleJMIR research protocols2022
Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study.
Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05095675 (Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back), which is not on this map. Cited by 9 papers.
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Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back: a Multicentre Clinical Pilot Study
Who cites it
9 citing papers in PubMed.
- Comparing the Costs of Surveillance of Early-Stage Breast Cancer by Digital or Traditional Follow-Up Methods: Randomized Crossover Study.JMIR cancer · 2025Trial
- In Silico Psycho-Oncology: Understanding Resilience Pathways in Breast Cancer-Determinants of Longitudinal Depression and Quality-of-Life Trajectories.Journal of personalized medicine · 2026Article
- Cost-Effectiveness of a Quality of Life Predictor to Guide Psychosocial Support in Breast Cancer.Cancers · 2026Article
- Impact of the COVID-19 pandemic on the quality of life of early breast cancer patients undergoing adjuvant chemotherapy - an observational, multicenter study.Acta oncologica (Stockholm, Sweden) · 2025Observational
- Trait mindfulness is protective for development of psychological distress in women with early breast cancer.Health psychology and behavioral medicine · 2025Article
- Digital Self-Management Intervention Paths for Early Breast Cancer Patients: Results of a Pilot Study.The breast journal · 2024Article
- Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool.Journal of medical Internet research · 2023Article
- Article
- Cross-cultural adaptation and psychometric evaluation of the Portuguese version of the family resilience questionnaire - short form (FaRE-SF-P) in women with breast cancer.Frontiers in psychology · 2022Article
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Authors and funding
25 authors.
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Abstract
backgroundDespite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient's sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient's ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled "Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back" or, in short, BOUNCE.
objectiveThe aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer.
methodsA total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model.
resultsThe recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022.
conclusionsThis study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients' needs, supported by eHealth technologies.
trial registrationClinicalTrials.gov NCT05095675; https://clinicaltrials.gov/ct2/show/NCT05095675. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34564.
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