Pattern-based decompositions for human resource planning in home health care services

Home health care services play acrucial role in reducing the hospitalization costs due to the increase of chronic diseases of elderly people. At the same time, they allow us to improve the quality of life for those patients that receive treatments at their home. Optimization tools are therefore necessary to plan service delivery at patients' homes. Recently, solution methods that jointly address the assignment of the patient to the caregiver (assignment), the definition of the days (pattern) in which caregivers visit the assigned patients (scheduling), and the sequence of visits for each caregiver (routing) have been proposed in the scientific literature. However, the joint consideration of these three level of decisions may be not affordable for large providers, due to the required computational time. In order to combine the strength and the flexibility guaranteed by a joint assignment, scheduling and routing solution approach with the computational efficiency required for large providers, in this study we propose a new family of two-phase methods that decompose the joint approach by incrementally incorporating some decisions into the first phase.The concept of pattern is crucial to perform such a decomposition in a clever way. Several scenarios are analyzed by changing the way in which resource skills are managed and the optimization criteria adopted to guide the provider decisions. The proposed methods are tested on realistic instances. The numerical experiments help us to identify the combinations of decomposition techniques, skill management policies and optimization criteria that best fit with problem instances of different size

PROJECTIONS OF DEMAND FOR HEALTHCARE IN IRELAND, 2015-2030: FIRST REPORT FROM THE HIPPOCRATES MODEL. ESRI RESEARCH SERIES NUMBER 67 OCTOBER 2017

This report provides baseline estimates and projections of public and private healthcare demand for Irish health and social care services for the years 2015–2030. This is the first report to be published applying the Hippocrates projection model of Irish healthcare demand and expenditure which has been developed at the ESRI in a programme of research funded by the Department of Health. Development of the model has required a very detailed analysis of the services used in Irish health and social care in 2015. This is the most comprehensive mapping of both public and private activity in the Irish healthcare system to have been published for Ireland

Restructuring of Households in Rural South Africa: Reflections on Average Household Size in the Agincourt Sub-district 1992-2003

South Africa has seen a dramatic decrease in household size over the last decade. In Table 1 we show that over the eight-and-a-half years from October 1995 to March 2004 the average household size has decreased by 20% or 0.74 persons (see also Pirouz 2004). Consequently for a fixed population size there would have been 20% more households in March 2004 than in October 1995. Such a rapid rate of household formation is interesting in and of itself. From the perspective of a policy maker it is particularly vital to understand this process. The new democratic government has committed itself to extending infrastructure and social services to households in deprived communities and now finds that it is trying to catch a moving target. The backlogs are increasing as the services are being rolled out. We will suggest below that there might be a connection between these two processes.

Resource constrained routing and scheduling: Review and research prospects

In the service industry, it is crucial to efficiently allocate scarce resources to perform tasks and meet particular service requirements. What considerably complicates matters is when these resources, for example skilled technicians, nurses, and home carers have to visit different customer locations. This paper provides a comprehensive survey on resource constrained routing and scheduling that unveils the problem characteristics with respect to resource qualifications, service requirements and problem objectives. It also identifies the most effective exact and heuristic algorithms for this class of problems. The paper closes with several research prospects

Descomposición de las diferencias de fertilidad entre regiones del mundo y a través del tiempo: ¿Importa más una mejor salud que la formación de la mujer?

(Disponible unicamente en Inglés) Recientemente se ha reavivado el interés en la relación entre las variaciones en las estructuras etarias de las poblaciones y diversos resultados económicos. Esas variaciones son producto de cambios en las tasas de fertilidad y mortalidad que se producen algunos años antes de hacerse visibles en la estructura etaria estándar y que pueden crear oportunidades para desarrollos subsiguientes. Una gran cantidad de países de todo el mundo todavía están experimentando o quizá están a punto de experimentar un descenso de la tasa de fertilidad. En este trabajo primero se definen las diferencias entre las tasas de fertilidad y mortalidad y las proporciones de dependencia correspondientes entre regiones y a través del tiempo. Luego se emplea un panel de 96 países durante el período de 1965 a 1995 para descomponer las diferencias de las tasas de fertilidad entre países desarrollados y en desarrollo, y las diferencias de fertilidad entre 1960 y 1995 en varias regiones en desarrollo y 22 países individuales de la región de América Latina y el Caribe. Estas descomposiciones indican que las principales correlaciones de las diferencias de fertilidad a través del espacio y el tiempo son la escolaridad y la salud de la mujer, y que la primera tiene más que ver con la diferencia de fertilidad entre regiones/países en un momento dado, mientras que la segunda tiene más que ver con bajas de fertilidad en el tiempo. Esto sugiere que es posible que se haya exagerado la importancia de la relación de una mayor escolaridad de la mujer en comparación con la escolaridad de la mujer en la obra publicada, la cual se fundamenta en gran medida en relaciones de inferencia longitudinal de datos representativos.

Achieving Universal Coverage Through Comprehensive Health Reform: The Vermont Experience -- Report of Findings

Presents findings on the role of Vermont's health reform programs in increasing insurance coverage between 2005 and 2009. Examines changes by insurance type, contributing factors such as outreach campaigns, financial sustainability, and implications

GoalD: A Goal-Driven Deployment Framework for Dynamic and Heterogeneous Computing Environments

Context: Emerging paradigms like Internet of Things and Smart Cities utilize advanced sensing and communication infrastructures, where heterogeneity is an inherited feature. Applications targeting such environments require adaptability and context-sensitivity to uncertain availability and failures in resources and their ad-hoc networks. Such heterogeneity is often hard to predict, making the deployment process a challenging task. Objective: This paper proposes GoalD as a goal-driven framework to support autonomous deployment of heterogeneous computational resources to fulfill requirements, seen as goals, and their correlated components on one hand, and the variability space of the hosting computing and sensing environment on the other hand. Method: GoalD comprises an offline and an online stage to fulfill autonomous deployment by leveraging the use of goals. Deployment configuration strategies arise from the variability structure of the Contextual Goal Model as an underlying structure to guide autonomous planning by selecting available as well as suitable resources at runtime. Results: We evaluate GoalD on an existing exemplar from the selfadaptive systems community – the Tele Assistance Service provided by Weyns and Calinescu [1]. Furthermore, we evaluate the scalability of GoalD on a repository consisting of 430,500 artifacts. The evaluation results demonstrate the usefulness and scalability of GoalD in planning the deployment of a system with thousands of components in a few milliseconds