Making Symptoms Visible: The Impact of Real-Time PROM Integration in Pediatric Oncology.
AI interpretation is pending for this paper.
Open original publication →What the AI sees
Not AI summarized yet.
Research significance
Pending deeper interpretation.
Source abstract
Background/Objectives: Children undergoing cancer treatment experience multiple distressing symptoms that often go undetected in routine care. This study evaluated the potential impact of integrating the Symptom Screening in Pediatrics Tool (SSPedi) into clinical workflows, focusing on symptom detection and implications for service delivery. Methods: Seventy children (aged 4-18 years) receiving active treatment, and/or their caregivers completed SSPedi weekly for eight weeks (n = 479 completions). Medical records were audited for documentation of symptom assessments and symptom prevalence. SSPedi completions were categorized using a clinical algorithm (low, moderate, immediate concerns) and compared with score-only threshold. Results: The most bothersome symptoms were appetite changes (12%), fatigue (11%), nausea/vomiting (9%) and pain (9%). Severe bother detected by SSPedi was more frequent while hospitalized than at home (e.g., appetite changes 17% versus 9%). Documentation rates of severe symptoms in medical records were substantially lower than SSPedi reports-12% when SSPedi was completed at home and 49% when completed in hospital. Applying the clinical algorithm flagged 58% of SSPedi completions as an immediate concern in home and 63% in hospital, compared with score-only thresholds (31% at home and 17% in hospital). Algorithm-based alerts for immediate concerns would have triggered almost twice as many phone calls as score-based thresholds (168 vs. 91). Conclusions: Routine PROM integration could improve symptom detection and timely intervention. Clinical algorithms enhance sensitivity but increase alert burden, highlighting the need to review thresholds and redesign workflows.