OBJECTIVE: To identify factors associated with caregiver burden among those caring for terminally ill patients with cancer. DESIGN: Cross-sectional study of interviews with primary caregivers (n = 206) of consecutive patients with cancer enrolled in the largest hospice in Connecticut. METHODS: Data were collected on the caregivers' sociodemographic characteristics, social network index, and number of restrictions in their own activities due to their caregiving role. The outcome was a nine-item questionnaire adapted from the Zarit Burden Inventory. RESULTS: The highest burden was reported among caregivers with more limited social networks (OR 1.38, Cl 1.02-1.87), more restrictions in their daily activities (OR 1.35, Cl 1.13-1.61), and who were younger (OR 1.46, Cl 1.10-1.93). CONCLUSIONS: Variations exist in the intensity of caregiver burden based on subjective experiences and social support, rather than on the amount of assistance provided. Clinicians should consider factors such as these when targeting caregivers for interventions to alleviate burden.
OBJECTIVE: To identify factors associated with caregiver burden among those caring for terminally ill patients with cancer. DESIGN: Cross-sectional study of interviews with primary caregivers (n = 206) of consecutive patients with cancer enrolled in the largest hospice in Connecticut. METHODS: Data were collected on the caregivers' sociodemographic characteristics, social network index, and number of restrictions in their own activities due to their caregiving role. The outcome was a nine-item questionnaire adapted from the Zarit Burden Inventory. RESULTS: The highest burden was reported among caregivers with more limited social networks (OR 1.38, Cl 1.02-1.87), more restrictions in their daily activities (OR 1.35, Cl 1.13-1.61), and who were younger (OR 1.46, Cl 1.10-1.93). CONCLUSIONS: Variations exist in the intensity of caregiver burden based on subjective experiences and social support, rather than on the amount of assistance provided. Clinicians should consider factors such as these when targeting caregivers for interventions to alleviate burden.
Authors: Paolo Giorgi Rossi; Monica Beccaro; Guido Miccinesi; Piero Borgia; Massimo Costantini; Francesco Chini; Diego Baiocchi; Giovanna De Giacomi; Maria Grimaldi; Maurizio Montella Journal: J Epidemiol Community Health Date: 2007-06 Impact factor: 3.710