Objectives: This study analyzed the acceptability of an electronic patient-reported outcomes measures-based model of care (IePRO MoC) and the usability of its complementary ePROM mobile app to monitor and manage symptoms related to immune checkpoint inhibitors. In this MoC, symptoms reported by patients treated at an outpatient clinic were reviewed by oncology triage nurses who provided symptom management interventions by telephone.

Methods: As part of a larger intervention trial (ClinicalTrials.gov.NCT05530187) we conducted an abductive, semantic thematic analysis through semistructured interviews of patients participating in the intervention arm. Acceptability was deduced from Sekhon et al's (2017) Theoretical Framework of Acceptability completed with inductively generated themes. Usability analysis was guided by the mHealth App Usability Questionnaire's domains by Zhoul et al (2019).

Results: A total of 17 interviews were performed. The IePRO MoC was reported to be an acceptable intervention. Patients expressed feeling safe and empowered due to continuous monitoring and timely support from nurses. Personalized support motivated patients to use the MoC throughout treatment. Some questioned the predefined response options of the app, and the standardized approach regarding notifications and monitoring requirements. Despite high app usability, some expressed discomfort from being frequently reminded of their illness and being confronted with questions about their sexuality and other intimate themes.

Conclusions: The feedback loop between patients and nurses facilitated the acceptability of the IePRO MoC. The app's usability further facilitated adherence to the MoC. A more personalized approach regarding the frequency of assessments and the way symptoms are conveyed is recommended to decrease discomfort and support the implementation of similar MoCs in the future.