Purpose: We determined commonly experienced symptoms reported by adult patients with cancer admitted to urban, ethnically diverse hospice settings and identified symptom clusters.
Methods: We used hierarchical cluster analysis of 150 patients (41 % male, 20-92 years [M = 59, SD = 13.3], 51 % African American, 37 % Caucasian, 12 % other). Using pen-tablet computers, participants completed the Symptom Distress Scale (SDS), a sleep quality item, and listed analgesics consumed in the previous 24 h.
Results: Four symptom clusters were identified: cluster 1 (Pain-Fatigue) consisted of pain frequency, fatigue, and pain intensity; cluster 2 (Ingestion-Elimination) consisted of appetite and bowel problems; cluster 3 (General Well-Being) consisted of insomnia, appearance, and outlook; and cluster 4 (Respiratory-Nausea-Concentration) consisting of breathing, cough, nausea frequency, nausea intensity, and concentration. There were no significant differences between Caucasians and African Americans on total SDS scores, analgesic consumption, sleep quality, or most cluster scores.
Conclusion: This is the first symptom cluster analysis in a US sample with a sizeable proportion of minority hospice/palliative care patients with cancer. Further research to determine the stability of identified symptom clusters over time and discovery of the biological interactions of symptoms within the cluster may lead to symptom management therapies designed for the alleviation of all clustered symptoms.
Keywords: Cancer; Hierarchical cluster analysis; Hospice; Palliative care; Pittsburgh sleep quality index; Symptom clusters; Symptom distress scale.