Abstract PO2-11-04: Assessing quality of Life in breast cancer patients undergoing mHealth mobile monitoring: A descriptive Analysis

Abstract Background: Breast cancer (BC) can be associated with a significant symptom burden that can be related both to the disease and to administered therapies. In particular, protocol related toxicity has an extreme impact on patient quality of life (QoL), and can lead to lack of adherence and ultimately, compromise therapy success. There is increasing interest in adopting more effective approaches for active/continuous patient-reported symptom monitoring. Emerging evidence, (Denis et al. 2019), shows that this strategy can reduce toxicity, emergency room visits, and improve QoL. Objectives: We aimed to analyze the QoL of women with BC diagnosis who underwent mobile-based continuous monitoring, searching for possible trends and describing the population. Methods: We conducted a retrospective analysis using data from patients with BC undergoing systemic treatment and monitored by a mobile-based application between January 2022 and June 2023 at an outpatient clinic in Brazil. Thummi is a digital platform for remote monitoring of cancer patients which enables them to record symptoms, toxicities and lifestyle variables. Utilizes the data to generate personalized recommendations and advice. It is available in Brazil at no cost. Doctors indicate the use and can monitor their patients in real time. In addition to an algorithm that informs the user if there is a need to go to the emergency room or not, the medical team can exchange real-time messages with patients. Clinicians have access to patient data through a web tool, allowing them to visualize the information, address symptom alerts, and make informed clinical-therapeutic decisions. The evaluated sample is from patients who come from physicians who indicated the use, without control of their origin, indication of treatment or clinical stage. The data were extracted from the platform's total database. Participants were requested to complete the Quality of Life Questionnaire (EORTC EQ-5D) integrated into the app every month. Inclusion criteria comprised a BC diagnosis, age ≥18, and having responded to the QoL questionnaire with at least a one-month interval between scores. Patients who failed to meet these criteria were excluded from the analysis. A comparison of QoL scores was performed between two periods: T0 (the first recorded response) and T1 (the subsequent response with at least a one-month interval between scores). Descriptive statistical analyses were conducted to search for possible trends, describe the population, and comprehensively examine the differences in QoL scores between T0 and T1. Results: There were 134 active patients in the mobile-based platform with a BC diagnosis, but only 86 (64,17%) met the inclusion criteria for the final analysis. The median age of this group was 54 years old (range 22-78). The most common treatments administered were Cyclophosphamide-Doxorubicin (28 patients, 33%) and Trastuzumab-Deruxtecan (18 patients, 21%). The average QoL score in T0 was 0,70 (SD 0,1379) and 1,0 (SD 0,1560) at T1, representing an increase of 30% after using the app for one month. Conclusion: This study suggests that mobile-based monitoring has the potential to improve the QoL for women diagnosed with BC. The difference in average QoL scores between the initial and subsequent periods indicates a positive impact of utilizing the platform. Further research is needed to establish a better correlation and to explore the specific interventions that contribute to these improvements. Implementing mobile-based monitoring in clinical practice could enhance patient well-being, treatment adherence, and survival time and can potentially lessen both burden of disease and resource utilization in BC care. Citation Format: Alessandra Morelle, Carlos Barrios, Carlos Pereira, Vinicius Agibert, Pedhro Lennon Freitas, Matheus Rocha, Paulo Schulze. Assessing quality of Life in breast cancer patients undergoing mHealth mobile monitoring: A descriptive Analysis abstract. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-11-04.