Objectives: Patient safety in systemic antineoplastic therapy is critical but heterogeneous due to diverse symptom profiles and engagement behaviors. Existing studies lack insights into subgroup differences in patient involvement and symptom interactions. This study aimed to identify latent profiles of patient safety engagement and characterize symptom network heterogeneity among cancer patients undergoing chemotherapy.
Method: A cross-sectional study recruited 489 adult cancer patients receiving non-initial chemotherapy at a tertiary hospital (October 2024–May 2025). Data included demographics, Inpatients' Involvement in Medication Safety Scale (IIMSS), and EORTC QLQ-C30 symptoms (9 symptoms: pain, nausea, fatigue, dyspnea, insomnia, appetite loss, constipation, diarrhea, financial difficulty). Latent profile analysis (LPA) identified engagement subgroups, and network analysis compared symptom associations (edge weights, centrality) across subgroups using bootstrapping and Qgraph in R.
Results: A cross-sectional study recruited 489 adult cancer patients receiving non-initial chemotherapy at a tertiary hospital (October 2024–May 2025). Data included demographics, Inpatients' Involvement in Medication Safety Scale (IIMSS), and EORTC QLQ-C30 symptoms (9 symptoms: pain, nausea, fatigue, dyspnea, insomnia, appetite loss, constipation, diarrhea, financial difficulty). Latent profile analysis (LPA) identified engagement subgroups, and network analysis compared symptom associations (edge weights, centrality) across subgroups using bootstrapping and Qgraph in R.Network stability analysis confirmed robust edges in Profile A (e.g., nausea–constipation, bootstrap CI=0.41–0.63) and Profile C (constipation–diarrhea, CI=0.51–0.67). Demographics (e.g., education, income) and treatment-related factors (adverse events) significantly predicted profile membership (p<0.05).
Conclusion: Patients undergoing systemic antineoplastic therapy demonstrate heterogeneous safety engagement patterns and symptom networks. Targeted interventions are needed; for example, Profile A requires fatigue-focused symptom management, Profile B needs dyspnea-centric supportive care, and Profile C demands constipation/diarrhea monitoring with engagement promotion. LPA combined with network analysis identifies subgroup-specific safety priorities, advancing precision patient safety in oncology.
