The economic impact of moderate stage Alzheimer's disease in Italy: Evidence from the UP-TECH randomized trial

Background: There is consensus that dementia is the most burdensome disease for modern societies. Few cost-of-illness studies examined the complexity of Alzheimer's disease (AD) burden, considering at the same time health and social care, cash allowances, informal care, and out-of-pocket expenditure by families. Methods: This is a comprehensive cost-of-illness study based on the baseline data from a randomized controlled trial (UP-TECH) enrolling 438 patients with moderate AD and their primary caregiver living in the community. Results: The societal burden of AD, composed of public, patient, and informal care costs, was about �20,000/yr. Out of this, the cost borne by the public sector was �4,534/yr. The main driver of public cost was the national cash-for-care allowance (�2,324/yr), followed by drug prescriptions (�1,402/yr). Out-of-pocket expenditure predominantly concerned the cost of private care workers. The value of informal care peaked at �13,590/yr. Socioeconomic factors do not influence AD public cost, but do affect the level of out-of-pocket expenditure. Conclusion: The burden of AD reflects the structure of Italian welfare. The families predominantly manage AD patients. The public expenditure is mostly for drugs and cash-for-care benefits. From a State perspective in the short term, the advantage of these care arrangements is clear, compared to the cost of residential care. However, if caregivers are not adequately supported, savings may be soon offset by higher risk of caregiver morbidity and mortality produced by high burden and stress. The study has been registered on the website www.clinicaltrials.org (Trial Registration number: NCT01700556). Copyright � International Psychogeriatric Association 2015

Socioeconomic Predictors of the Employment of Migrant Care Workers by Italian Families Assisting Older Alzheimer's Disease Patients: Evidence from the Up-Tech Study

Background: The availability of family caregivers of older people is decreasing in Italy as the number of migrant care workers (MCWs) hired by families increases. There is little evidence on the influence of socioeconomic factors in the employment of MCWs. Method: We analyzed baseline data from 438 older people with moderate Alzheimer's disease (AD), and their family caregivers enrolled in the Up-Tech trial. We used bivariate analysis and multilevel regressions to investigate the association between independent variables - education, social class, and the availability of a care allowance - and three outcomes - employment of a MCW, hours of care provided by the primary family caregiver, and by the family network (primary and other family caregivers). Results: The availability of a care allowance and the educational level were independently associated with employing MCWs. A significant interaction between education and care allowance was found, suggesting that more educated families are more likely to spend the care allowance to hire a MCW. Discussion: Socioeconomic inequalities negatively influenced access both to private care and to care allowance, leading disadvantaged families to directly provide more assistance to AD patients. Care allowance entitlement needs to be reformed in Italy and in countries with similar long-term care and migration systems. � 2015 The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved

Predictors of high level of burden and distress in caregivers of demented patients : results of an Italian multicenter study

Background Considerable suffering is experienced by carers of patients with dementia. Most existing studies do not consider the coexistence of subjective and objective aspects that cause, interacting to each other, this suffering. Objectives In this study we: (1) define the high-risk group of caregivers on the bases of the scores obtained on the four scales evaluating burden, distress, depression and anxiety (BDDA) taken into account simultaneously and (2) evaluate risk factors related to the high level of BDDA. Subjects and methods 419 elderly outpatients with dementia and their caregivers were enrolled. Patients were evaluated for their cognitive, neuropsychological and functional impairment and for comorbidity. Caregivers were evaluated with four scales for the assessment of burden, distress related to neuropsychological disturbances, depression and anxiety. Cluster analysis was used to identify the group with the High level of BDDA (HBDDA). Results By multiple logistic analysis, disability, specific behavioural disturbances of the patients as well as caregiver's age, type of relationship and living in the south of Italy were observed to be a major risk factor for HBDDA. Conclusion The targeted use of scales specifically assessing BDDA of the caregiver and the identification of particular patient and caregiver characteristics are able to allow a precise and early definition of caregivers at high risk of burden and distress. This might be helpful in planning the correct social/clinical/rehabilitative approach. Copyright (C) 2005 John Wiley Sons, Ltd

The Caregiver Burden Inventory in evaluating the burden of caregivers of elderly demented patients : results from a multicenter study

The burden perceived by caregivers of patients with dementia is a fundamental prognostic aspect in the history of the disease. The aim of this study was to demonstrate the internal consistency of the Caregiver Burden Inventory (CBI), a scale used to quantify burdens in different aspects of a caregiver's life, and the influence of patients' and caregivers' characteristics on its different dimensions. METHODS: In this cross-sectional study, 419 demented patients and their caregivers were evaluated in 16 geriatric centers in Italy. Cognitive status and behavioral disturbances were assessed by the Mini Mental State Examination (MMSE) and Neuropsychiatric Inventory (NPI), respectively. Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) were also evaluated. Comorbidity was assessed by the Cumulative Illness Rating Scale (CIRS). The severity of dementia was evaluated by the Clinical Dementia Rating (CDR) score. Caregiver distress due to the behavioral problems of the patient was assessed by the Neuropsychiatric Inventory-Distress, a subscale of the NPI which evaluates stress caused by each behavioral disturbance of the patient, and by the Brief Symptom Inventory which evaluates anxiety and depression. Burden was evaluated by the CBI. RESULTS: The CBI showed very high internal consistency (Cronbach's alpha value > 0.80). Factor analysis showed that the items clustered into four dimensions, and not five as originally proposed. Multiple regression analysis revealed that patients' behavioral disturbances and disability were the major predictors of the time-dependent burden; the psychophysical burden was explained mainly by caregiver anxiety and depression. CONCLUSIONS: The CBI proved to be an effective multidimensional tool for evaluating the impact of burden on many aspects of caregivers' lives

Defining locality as a problem difficulty measure in genetic programming

A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally described as the property that neighbouring genotypes correspond to neighbouring phenotypes. A representation has high locality if most genotypic neighbours are mapped to phenotypic neighbours. Locality is seen as a key element in performing effective evolutionary search. It is believed that a representation that has high locality will perform better in evolutionary search and the contrary is true for a representation that has low locality. When locality was introduced, it was the genotype-phenotype mapping in bitstring-based Genetic Algorithms which was of interest; more recently, it has also been used to study the same mapping in Grammatical Evolution. To our knowledge, there are few explicit studies of locality in Genetic Programming (GP). The goal of this paper is to shed some light on locality in GP and use it as an indicator of problem difficulty. Strictly speaking, in GP the genotype and the phenotype are not distinct. We attempt to extend the standard quantitative definition of genotype-phenotype locality to the genotype-fitness mapping by considering three possible definitions. We consider the effects of these definitions in both continuous- and discrete-valued fitness functions. We compare three different GP representations (two of them induced by using different function sets and the other using a slightly different GP encoding) and six different mutation operators. Results indicate that one definition of locality is better in predicting performance.Science Foundation IrelandIrish Research Council for Science, Engineering and Technologyti, ke, ab - TS 02.1