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Objective: To describe caregiver and patient characteristics that are associated with negative and positive reactions in family caregivers (FCs) of cancer outpatients. Methods: A total of 194 FCs completed the Caregiver Reaction Assessment (CRA) scale 6 months after start of new treatment in patients with breast, ovarian, colorectal, or head and neck cancer. Linear regression models were used to examine which caregiver characteristics (i.e. demographic, self‐efficacy and social support) and patient characteristics (i.e. clinical, symptoms) were associated with each of the CRA subscales (caregiver esteem, lack of family support, and impact on health, schedule and finances). Results: Less social support was significantly associated with poorer scores on all subscales (B −0.01/0.01). Also, poorer scores on one or more of the CRA subscales were reported by FCs who had lower self‐efficacy (B −0.02), a higher level of education (primary B 0.42, secondary B 0.22), more medical conditions (B 0.06), and were female (B 0.20), and by FCs of patients with colorectal (B 0.45) or head and neck cancer (B 0.27), and those who reported a higher symptom burden (B 0.28/0.49). Conclusion: Both caregiver and patient factors were associated with reactions in FCs of cancer outpatients. This information can be used by healthcare personnel to identify FCs who need additional support (e.g. counselling), and to increase focus on strengths and assets within the caregivers (e.g. support groups). [ABSTRACT FROM AUTHOR]

Context:Reviews of the literature on symptoms in oncology patients undergoing curative treatment, as well as patients receiving palliative care, suggest that they experience multiple, co-occurring symptoms and side effects. Objectives:The purposes of this study were to determine if subgroups of oncology patients could be identified based on symptom occurrence rates and if these subgroups differed on a number of demographic and clinical characteristics, as well as on quality of life (QoL) outcomes. Methods:Latent class analysis (LCA) was used to identify subgroups (i.e. latent classes) of patients with distinct symptom experiences based on the occurrence rates for the 13 most common symptoms from the Memorial Symptom Assessment Scale. Results:In total, 534 patients with breast, head and neck, colorectal, or ovarian cancer participated. Four latent classes of patients were identified based on probability of symptom occurrence: all low class [i.e. low probability for all symptoms (n = 152)], all high class (n = 149), high psychological class (n = 121), and low psychological class (n = 112). Patients in the all high class were significantly younger compared with patients in the all low class. Furthermore, compared to the other three classes, patients in the all high class had lower functional status and higher comorbidity scores, and reported poorer QoL scores. Patients in the high and low psychological classes had a moderate probability of reporting physical symptoms. Patients in the low psychological class reported a higher number of symptoms, a lower functional status, and poorer physical and total QoL scores. Conclusion:Distinct subgroups of oncology patients can be identified based on symptom occurrence rates. Patient characteristics that are associated with these subgroups can be used to identify patients who are at greater risk for multiple co-occurring symptoms and diminished QoL, so that these patients can be offered appropriate symptom management interventions. [ABSTRACT FROM PUBLISHER]