Validating a Patient-Reported Outcomes-Derived Algorithm for Classifying Symptom Complexity Levels Among Patients With Cancer.

CONCLUSIONS: The validity of the PRO-derived symptom complexity algorithm is established in this study. The algorithm demonstrated satisfactory accuracy against a clinician-driven complexity assessment and a strong correlation with the known group analysis. Furthermore, the algorithm showed a higher screening capacity compared with the algorithm generated from 2-step cluster analysis, reinforcing the importance of contextualization when classifying patients' symptoms, rather than purely relying on statistical outcomes. The algorithm carries importance in clinical settings, acting as a symptom complexity flag, helping healthcare teams identify which patients may need more timely, targeted, and individualized patient symptom management. PMID: 33152696 [PubMed - in process]
Source: Journal of the National Comprehensive Cancer Network : JNCCN - Category: Cancer & Oncology Tags: J Natl Compr Canc Netw Source Type: research