TY - JOUR AU - Masiero, Marianna AU - Filipponi, Chiara AU - Fragale, Elisa AU - Pizzoli, Silvia Francesca Maria AU - Munzone, Elisabetta AU - Milani, Alessandra AU - Guido, Luca AU - Guardamagna, Vittorio AU - Marceglia, Sara AU - Prandin, Roberto AU - Prenassi, Marco AU - Caruso, Annamaria AU - Manzelli, Vania AU - Savino, Chiara AU - Conti, Costanza AU - Rizzi, Federica AU - Casalino, Alice AU - Candiani, Giulia AU - Memini, Francesca AU - Chiveri, Luca AU - Vitali, Andrea Luigi AU - Corbo, Massimo AU - Grasso, Roberto AU - Didier, Florence AU - Ferrucci, Roberta AU - Pravettoni, Gabriella PY - 2024 DA - 2024/2/2 TI - Support for Chronic Pain Management for Breast Cancer Survivors Through Novel Digital Health Ecosystems: Pilot Usability Study of the PainRELife Mobile App JO - JMIR Form Res SP - e51021 VL - 8 KW - chronic pain KW - eHealth KW - cancer KW - decision-making KW - survivorship KW - self-efficacy KW - pain KW - oncology KW - health ecosystem KW - health ecosystems KW - breast KW - survivor KW - survivors KW - mHealth KW - mobile health KW - app KW - apps KW - applications KW - MARS AB - Background: Chronic pain is one of the most common and critical long-term effects of breast cancer. Digital health technologies enhance the management of chronic pain by monitoring physical and psychological health status and supporting pain self-management and patient treatment decisions throughout the clinical pathway. Objective: This pilot study aims to evaluate patients’ experiences, including usability, with a novel digital integrated health ecosystem for chronic pain named PainRELife. The sample included patients with breast cancer during survivorship. The PainRELife ecosystem comprises a cloud technology platform interconnected with electronic health records and patients' devices to gather integrated health care data. Methods: We enrolled 25 patients with breast cancer (mean age 47.12 years) experiencing pain. They were instructed to use the PainRELife mobile app for 3 months consecutively. The Mobile Application Rating Scale (MARS) was used to evaluate usability. Furthermore, pain self-efficacy and participation in treatment decisions were evaluated. The study received ethical approval (R1597/21-IEO 1701) from the Ethical Committee of the European Institute of Oncology. Results: The MARS subscale scores were medium to high (range: 3.31-4.18), and the total app quality score was 3.90. Patients with breast cancer reported reduced pain intensity at 3 months, from a mean of 5 at T0 to a mean of 3.72 at T2 (P=.04). The total number of times the app was accessed was positively correlated with pain intensity at 3 months (P=.03). The engagement (P=.03), information (P=.04), and subjective quality (P=.007) subscales were positively correlated with shared decision-making. Furthermore, participants with a lower pain self-efficacy at T2 (mean 40.83) used the mobile app more than participants with a higher pain self-efficacy (mean 48.46; P=.057). Conclusions: The data collected in this study highlight that digital health technologies, when developed using a patient-driven approach, might be valuable tools for increasing participation in clinical care by patients with breast cancer, permitting them to achieve a series of key clinical outcomes and improving quality of life. Digital integrated health ecosystems might be important tools for improving ongoing monitoring of physical status, psychological burden, and socioeconomic issues during the cancer survivorship trajectory. International Registered Report Identifier (IRRID): RR2-10.2196/41216 SN - 2561-326X UR - https://formative.jmir.org/2024/1/e51021 UR - https://doi.org/10.2196/51021 UR - http://www.ncbi.nlm.nih.gov/pubmed/38306176 DO - 10.2196/51021 ID - info:doi/10.2196/51021 ER -