Patient Reported Outcome Measurement Within the Secured Access to Innovative Medicines for Children With cAncer (SACHA) Study

Patient-Reported Outcomes (PROs) are patient-centered measures used to assess health status, track changes over time, and evaluate the impact of treatment on the patient's perceived health. The SACHA study is a French prospective observational study developed by the Société Française de lutte contre les Cancers de l'Enfant et de l'adolescent (SFCE). It prospectively collects real-world safety and activity data on novel therapies given to patients aged 25 or younger with pediatric malignancies (solid tumors or hematologic malignancies) or related conditions, outside of a clinical trial. The Symptom Screening in Pediatrics Tool (SSPedi) is a validated questionnaire for measuring patient-reported symptoms in pediatric oncology. It includes 15 questions covering common symptoms in pediatric cancer patients and one open-ended question allowing patients to report any other bothersome symptoms. Patients complete the questionnaire through an online application. The PRO-SACHA study aims to describe the symptoms reported by participants receiving novel therapies in pediatric oncology and to examine the concordance between participant-reported symptoms and symptomatic adverse events (AEs) reported by investigators. This prospective observational study evaluates patient-reported symptoms in patients aged 2 to 18 years enrolled in the SACHA study. Participation is voluntary, based on an opt-out consent model (French category 3 interventional research involving the human person). Planned enrollment: 72 participants over 18 months, with each participant followed for 7 months (a 6-month follow-up period, with a 7th-month window for questionnaire completion). Participants are enrolled in PRO-SACHA at the same time as their enrollment in SACHA (two separate studies with separate enrollment). SSPedi responses (a self-report questionnaire capturing symptoms experienced by patients) are collected electronically through an online application. The extracted, anonymized data are then