BACKGROUND: A symptom cluster is a group of 2 or more symptoms that occur together and are related to each other. Although family caregivers of individuals with cancer experience multiple concurrent symptoms, the majority of symptom research has focused on assessing and managing individual, isolated symptoms. OBJECTIVE: The study purpose was to investigate symptom clusters in cancer caregivers and to explore factors that influence symptom clusters. METHODS: Cluster analysis was performed using cross-sectional survey data from 129 family caregivers of individuals receiving cancer treatment at the National Institutes of Health Clinical Center. PROMIS (Patient-Reported Outcomes Measurement Information System) measures of 5 common symptoms in caregivers (fatigue, sleep disturbance, depression, anxiety, impaired cognition) were used to identify symptom clusters. RESULTS: Two symptom cluster groups were identified: low symptom burden (n = 106, 82.2%) and high symptom burden (n = 23, 17.8%). Individuals who reported higher levels of caregiving burden (impact on health subscale) (β = 1.31, P = .005) and loneliness (β = 0.18, P = .024) were significantly more likely to be in the high symptom burden group. CONCLUSIONS: This study provides evidence that 5 key symptoms among cancer caregivers appear to cluster into 2 groups, those with low symptom burden and those with high symptom burden. Caregiving burden (impact of health) and loneliness were significant factors differentiating symptom cluster membership. IMPLICATIONS FOR PRACTICE: Identifying symptom clusters may lead to better prevention and treatment strategies that target symptoms in cancer caregivers. Identifying factors that place a group at high risk of symptom burden can be used to guide individualized and tailored interventions.
BACKGROUND: A symptom cluster is a group of 2 or more symptoms that occur together and are related to each other. Although family caregivers of individuals with cancer experience multiple concurrent symptoms, the majority of symptom research has focused on assessing and managing individual, isolated symptoms. OBJECTIVE: The study purpose was to investigate symptom clusters in cancer caregivers and to explore factors that influence symptom clusters. METHODS: Cluster analysis was performed using cross-sectional survey data from 129 family caregivers of individuals receiving cancer treatment at the National Institutes of Health Clinical Center. PROMIS (Patient-Reported Outcomes Measurement Information System) measures of 5 common symptoms in caregivers (fatigue, sleep disturbance, depression, anxiety, impaired cognition) were used to identify symptom clusters. RESULTS: Two symptom cluster groups were identified: low symptom burden (n = 106, 82.2%) and high symptom burden (n = 23, 17.8%). Individuals who reported higher levels of caregiving burden (impact on health subscale) (β = 1.31, P = .005) and loneliness (β = 0.18, P = .024) were significantly more likely to be in the high symptom burden group. CONCLUSIONS: This study provides evidence that 5 key symptoms among cancer caregivers appear to cluster into 2 groups, those with low symptom burden and those with high symptom burden. Caregiving burden (impact of health) and loneliness were significant factors differentiating symptom cluster membership. IMPLICATIONS FOR PRACTICE: Identifying symptom clusters may lead to better prevention and treatment strategies that target symptoms in cancer caregivers. Identifying factors that place a group at high risk of symptom burden can be used to guide individualized and tailored interventions.
Authors: David Cella; William Riley; Arthur Stone; Nan Rothrock; Bryce Reeve; Susan Yount; Dagmar Amtmann; Rita Bode; Daniel Buysse; Seung Choi; Karon Cook; Robert Devellis; Darren DeWalt; James F Fries; Richard Gershon; Elizabeth A Hahn; Jin-Shei Lai; Paul Pilkonis; Dennis Revicki; Matthias Rose; Kevin Weinfurt; Ron Hays Journal: J Clin Epidemiol Date: 2010-08-04 Impact factor: 6.437
Authors: Guadalupe R Palos; Tito R Mendoza; Kai-Ping Liao; Karen O Anderson; Araceli Garcia-Gonzalez; Karin Hahn; Arlene Nazario; Lois M Ramondetta; Vicente Valero; Garrett R Lynch; Maria L Jibaja-Weiss; Charles S Cleeland Journal: Cancer Date: 2010-10-19 Impact factor: 6.860