ESTRO 2025 - Abstract Book

S4171

RTT - Patient experience and quality of life

ESTRO 2025

provide feedback and rate the usability of the app using the system usability scale (SUS) [3]. The SUS ranges from 0 to 100, with higher scores indicating better usability.

Results: Based on the feedback obtained from the HCPs, the International Prostate Symptom Score (IPSS), Expanded Prostate Cancer Index Composite (EPIC), and Brief Fatigue Inventory (BFI) were adapted to facilitate the reporting of side effects on a mobile application [1]. The scores obtained from these tools were divided into mild, moderate or severe. Feedback was provided according to the symptoms reported by the patient as shown in Fig.1. All the data is gathered on the AssistMDT app. The patients can also send questions and receive feedback from HCPs through the mobile application. The new features received a mean SUS score of 94.5 which indicates an excellent user experience. The HCPs found the app highly useful and easy to use.

Fig.1: Print screens illustrating some of the features of the AssistRT app. (A and B) Symptom reporting navigation screen, (C and D) feedback provided according to the urinary symptom severity score.

Conclusion: Overall, the mobile application prototype was well received by HCPs. However, further research is required to assess the patient’s perspective and to integrate the mobile app within the hospital’s patient review workflow.

Keywords: Prostate cancer, Mobile apps, Self-management

References: [1] Koontz BF, editor. Radiation Therapy Treatment Effects: An Evidence-based Guide to Managing Toxicity (1st ed.). Demos Medical Publishing; 2017. [2] Farrugia C, Borg C, Murugesan V, Sammut MS, Attard C, Mercieca S. 1329: Development of a Mobile Application to Support Prostate Cancer Patients Undergoing Radiotherapy. Radiotherapy and Oncology 2024;194:S5673–5. https://doi.org/10.1016/s0167-8140(24)01747-x. [3] Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, et al. System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. JMIR Mhealth Uhealth 2022;10:e37290. https://doi.org/10.2196/37290.