Immune checkpoint inhibitors (ICIs) can cause immune-related adverse events (IrAEs) throughout and beyond treatment duration. These IrAEs can be varied and difficult to predict, as they can involve almost any organ, regardless of where the primary tumor is located. Treatment modality and individual characteristics appear to influence the frequency and severity of these events, which can become serious without proper monitoring and timely intervention. Generally, patient visits are scheduled at the same intervals in which patients receive treatment, once every two to four weeks. In these large intervals, patients can be surprised by IrAEs without a close schedule visit to their oncology physician. Not only this may negatively influence their overall well-being, their perceived self-efficacy to manage their own condition and their health-related quality of life may be affected as well. Using patient-reported outcomes (PROs) to monitor patient symptoms has become incredibly valuable in describing treatment toxicity, including that of ICIs. PROs are a self-report of the patient's own perceptions of their health status. Using their own words, or by replying to questionnaires, patients can convey symptoms and how these affect their daily life and quality of life. Questionnaires are an example of a PRO measure (PROM), which have increasingly been provided electronically (resulting in electronic PROs or ePROs). The ubiquity of connected electronic devices has enabled long-distance monitoring of symptoms through electronic questionnaires. In patients treated with chemotherapy, studies have shown that using this method to collect symptom data can enable healthcare providers to help patients manage their symptoms remotely. This allows patients to receive timely support from home, that could help prevent serious complications that could entail visits to the emergency department, unscheduled hospitalizations and treatment interruptions. The IePRO study's aim is to test a model of care that uses electronic questionnaires to monitor symptoms that could be related to the use of ICIs. Patients would reply to these questionnaires at least once a week using an electronic web application (on their phone or computer). A team of oncology nurses reviews their replies and calls patients when new symptoms appear or when they worsen. Using a standard triage algorithm, the nurses guide patients on how to proceed: if they should stay home and follow self-care advice, if they should have a second call within the next 24 hours to follow-up on their symptoms, or if they should come to the hospital for an in-person assessment as soon as possible. In this study, it is hypothesized that this model of care could lead to an earlier detection of IrAEs, as well as their improved management by reducing the number of high-severity IrAEs, the number of unscheduled emergency admissions and hospitalizations, as well as decreasing the number of treatment interruptions and of immunosuppressive treatments used to treat IrAEs.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
198
Patients in the intervention arm of this study will report symptoms weekly through an electronic symptom questionnaire. For the first 3 months of the 6 month intervention, they will reassess the reported symptoms daily. A team of oncology nurses will contact patients by telephone if they declare a new or worsening symptom. The nurses will use a triage algorithm to identify patient needs (self-care, remote follow-up or in-person assessment).
Centre Hospitalier Universitaire Vaudois
Lausanne, Canton of Vaud, Switzerland
RECRUITINGHôpitaux Universitaires de Genève
Geneva, Switzerland
NOT_YET_RECRUITINGIrAE time-to-detection
The primary outcome is the difference (in days) between the symptom onset date and the date when it was detected by the oncology team.
Time frame: Through study completion, an average of 6 months
Number of symptomatic IrAEs experienced by patients
Number, type and grade of diagnosed Symptomatic IrAEs.
Time frame: Up to 6 months
Number of self-reported symptoms
Type and number of self-reported PRO-CTCAE items.
Time frame: Up to 6 months
Symptom-to-treatment interval
Time (in days) between symptom onset and the first pharmacological intervention for the symptomatic IrAE.
Time frame: Up to 6 months
IrAE treatments
Number and type of documented pharmacological interventions to manage IrAEs.
Time frame: Up to 6 months
Maximum IrAE grade
Highest recorded IrAE grade according to the CTCAE version 5.0
Time frame: Up to 6 months
Health-related Quality of Life score measured with the FACT-G questionnaire
Change from baseline in health-related quality of life (weekly and at 6 months)
Time frame: Up to 6 months
Self-efficacy score as measured with the PROMIS Self-Efficacy for Managing Symptoms short form 8a questionnaire
Change from baseline in perceived self-efficacy to manage symptoms (weekly and at 6 months)
Time frame: Up to 6 months
Overall survival
Overall survival at 6 months.
Time frame: Up to 6 months
Triage process
Type and amount of IrAE management actions/instructions issued by triage nurses, per resulting alerts (green, amber and red alerts).
Time frame: Up to 6 months
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