European Society for Medical Oncology, 2024 - ePROS

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Authors

Maria Alice Franzoi ¹, Antonio Di Meglio ¹, Mario Di Palma ², Thomas Grellety ³, Eliane Ithurbide-Dachary ³, Xavier Artignan ⁴, Elsa Blanchard ⁴, Anne Thirot-Bidault ⁵, Pénélope Lacombe ⁵, Joseph Rodriguez ⁶, Antoine Lemaire ⁶, Laura Polastro ⁷, Laurence Caravella ⁷, Jessica Grosjean ⁸, Charles Ferté ⁹, Amine Diab ⁹, Arlindo R. Ferreira ^9,10, Ethan Basch ¹¹, Florian Scotte ², Ines Vaz-Luis ^1,2.

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Affiliation

1. INSERM Unit 981 - Molecular predictors and new targets in oncology, Gustave Roussy, 94805 Villejuif, France ; 2. Département Interdisciplinaire d’Organisation des Parcours Patients (DIOPP), Gustave Roussy Cancer Center, 94805, Villejuif, France ; 3. Centre Hospitalier de la Côte Basque, Bayonne, France ; 4. Institut de Cancérologie et Radiothérapie Brétillien, Rennes, France ; 5. Hôpital privé d’Antony - Ramsay, Antony, France ; 6. Centre Hospitalier de Valenciennes, Valenciennes, France ; 7. Institut Jules Bordet, Brussels, Belgium ; 8. Center Cancer Les Dentellières – Elsan, Valenciennes, France ; 9. Resilience, Paris, France ; 10. Catolica Medical School, Universidade Católica Portuguesa, Lisbon, Portugal ; 11. University of North Carolina,Chapel Hill, North Carolina, USA.

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Introduction

Physical activity, smoking, and alcohol consumption are behaviors likely to affect patients' health and quality of life. Screening for these factors relies primarily on healthcare professionals. However, the detection of these behaviors is not consistently addressed across healthcare facilities, which can generate disparities in patient management (Di Meglio A. Cancer 2021).

Medical remote monitoring based on ePROs (electronic Patient-Reported Outcomes) enables patient tracking and symptom identification, thereby improving communication between patients and healthcare professionals.

Following an investigation into the impact of patient-reported social determinants of health within a medical remote monitoring solution and health-related social risks (Franzoi MA. ASCO 2023), this study aims to:

• Assess the feasibility of evaluating patient-reported health behaviors via a medical remote monitoring solution deployed in routine care.
• Explore their association with patient symptoms, their adherence to the remote monitoring solution, and their engagement with the digital educational resources provided.

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