Analysis and determination the efficiency of the European health systems.

The current economic crisis has increased the interest in analyzing the efficiency of health care systems, as their funding is a very important part of the budgets for different countries. In this work determines the efficiency in the health services in European countries applying data envelopment analysis. In addition, the combined application of data envelopment analysis methods and ACP can provide an evaluation of the efficiency with respect to differently oriented productive health systems in the different countries. The results show that models with a lower level of efficiency are those whose input is beds, followed by the models whose input is physicians. Finally, we apply the AD to select a few simple indicators that facilitate control of the level of operational efficiency of a health system.

Predictors of Caregiver Burden of Patients with Alzheimer Disease Attending Day-Care Centres.

Nowadays, there are plenty of programs and resources to prevent caregiver burden of patients with Alzheimer's disease. In spite of that, many caregivers suffer high levels of burden and stress, which leads to an earlier institutionalization of patients. This study aimed to explore the predictors of burden in relative caregivers of patients attending day-care centers and the moderating role of caregiver kinship in these associations. A sample of a hundred and two patient-caregiver dyads was recruited. Burden was measured with a Zarit Burden Interview. Measures of patients' cognition, insight, depression, behavioral disturbances, functional ability and overall physical health were considered as predictors. We found that apathy, irritability and delusions and, patients' mobility are the main determinants of caregivers' burden. The strength of relationship between delusions and irritability was higher in spouse caregivers. Interventions to reduce burden should be adapted to the specific needs of a particular type caregiver.

Comparative Efficacy of Active Group Music Intervention versus Group Music Listening in Alzheimer's Disease.

BACKGROUND: Music interventions are promising therapies for the management of symptoms in Alzheimer's disease (AD). Globally, music interventions can be classified as active or receptive depending on the participation of the subjects. Active and receptive music tasks engage different brain areas that might result in distinctive clinical effects. This study aims to compare the clinical effects of two types of music interventions and a control activity. METHODS: Ninety AD patients from six nursing homes participated in the study. Nursing homes were randomly and blindly assigned to receive either active music intervention, receptive music intervention, or the usual care. Effects on cognition, behaviour, daily living activities, and motor function were assessed. RESULTS: Active music intervention improved cognition, behaviour, and functional state in a higher extent than both receptive music intervention and usual care. The effect size of active music intervention for cognitive deficits and behavioural symptoms was large (η2 = 0.62 and 0.61, respectively), while for functional state, it was small-to-medium sized (η2 = 0.18). Receptive music intervention had a stabilizing effect on behavioural symptoms compared to control intervention (mean change from baseline ± standard deviation = -0.76 ± 3.66 and 3.35 ± 3.29, respectively). In the active music intervention, the percentage of patients who showed improvement in cognitive deficits (85.7), behavioural symptoms (92.9), and functional state (46.4) was higher than in both receptive listening (11.8, 42.9, and 14.3, respectively) and control group (6.3, 12.2, and 17.1, respectively). CONCLUSIONS: Active music intervention is useful to improve symptoms of AD and should be prescribed as a complement to the usual treatment.

Evaluation of the Efficiency of European Health Systems Using Fuzzy Data Envelopment Analysis.

Many studies that assess efficiency in health systems are based on output mean values. That approach ignores the representativeness of the average statistic, which can become a serious problem in estimation. To solve this question, this research contributes in three different ways: the first aim is to evaluate the technical efficiency in the management of European health systems considering a set of DEA (Data Envelopment Analysis) and FDEA (Fuzzy Data Envelopment Analysis) models. A second goal is to assess the bias in the estimation of efficiency when applying the conventional DEA. The third objective is the evaluation of the statistical relationship between the bias in the efficiency estimation and the macroeconomic variables (income inequality and economic freedom). The main results show positive correlations between DEA and FDEA scores. Notwithstanding traditional DEA models overestimate efficiency scores. Furthermore, the size of the bias is positively related to income inequality and negative with economic freedom in the countries evaluated.