ABSTRACT
Background A high prevalence of anxiety symptoms has been identified among the caregivers of disabled older people. The aim of the study was to explore the relationships between objective burden (intensity of care and burdensome characteristics of the care recipient, like frailty status), caregiver characteristics, subjective burden, and anxiety in a sample of informal caregivers caring for hospitalized elderly patients. Methods In this cross-sectional study, patients' and their informal caregivers' characteristics were recorded for 311 patient-caregiver dyads. Subjective caregiver burden and caregivers' anxiety were assessed by using the Zarit Burden Interview and the Hospital Anxiety and Depression Scale (HADS), respectively. Correlation coefficients and path analysis were used to examine the relationship between variables. Caregivers' anxiety was considered as the outcome variable. Caregivers' subjective burden was entered as a mediator between caregiver characteristics-objective burden and anxiety. An objective burden was measured based on the care needs of the dependent elderly (frailty status, cognitive impairment, comorbidity, independence in activities of daily living, behavioral problems, hours spent on caregiving, and duration of caregiving). Results Abnormal anxiety symptoms (HADS score 11-21) were reported by 92 caregivers (29.6%). Borderline cases (HADS score 8-10) were 66 caregivers (21.2%). A mild, moderate, or severe subjective burden was recorded for 113 (36.3%), 100 (32.2%), and 26 (8.4%) caregivers, respectively. The female gender of the caregiver, the spousal relationship with the patient, and the subjective burden were directly related to higher levels of caregivers' anxiety. A subjective burden was found to be a significant mediator in the relationship between duration of caregiving, patients' frailty status, caregiver gender, patients' comorbidity, and caregivers' anxiety. Conclusion Among the risk factors for caregivers' anxiety, the frailty status of the patient is probably the only modifiable factor via interventions targeting frailty reversion or reduction.
ABSTRACT
Background Several factors have been associated with mortality prediction among older inpatients. The objective of this study was to assess the factors associated with mortality in hospitalized elderly patients. Methods A total of 353 consecutively admitted elderly patients (47.9% women), with a median age of 83 years (interquartile range 75.00-88.00), were enrolled in the study and patient characteristics were recorded. Comorbidities were assessed using Charlson Comorbidity Index (CCI), activities of daily living by Barthel Index (BI), frailty was assessed using the Clinical Frailty Scale (CFS), cognition by Global Deterioration Scale (GDS) and symptom severity at admission by quick Sequential Organ Function Assessment (qSOFA) score. CFS, GDS and BI were estimated for the premorbid patients' status. Parametric and non-parametric tests and binary logistic regression analysis were applied to identify the factors associated with mortality. A receiver operating characteristic (ROC) curve was used to analyse the prognostic value of CFS and qSOFA. Results In total, 55 patients (15.6%) died during hospitalization. In regression analysis, the factors associated with mortality were the qSOFA score at admission (p=0.001, odds ratio [OR]=1.895, 95% confidence interval [CI] 1.282-2.802) and the premorbid CFS score (p=0.001, OR=1.549, 95% CI 1.1204-1.994). The classifiers both have almost similar area under the curve (AUC) scores, with CFS performing slightly better. More specifically, both CFS (AUC 0.79, 95% CI 0.73-0.85, p=0.001) and qSOFA (AUC 0.75, 95% CI 0.67-0.83, p<0.001) showed almost the same accuracy for predicting inpatients' mortality. Conclusion This study strengthens the perception of premorbid frailty and disease severity at admission as factors closely related to mortality in hospitalized elderly patients. Simple measures such as CFS and qSOFA score may help identify, in the emergency department, elderly patients at risk, in order to provide timely interventions.
