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.

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.

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