Health Syst (Basingstoke)
February 2024
The health and social care sectors grapple with challenges amid population growth and escalating service costs, necessitating enhanced management efficiency. This study centers on Quality of Service (QoS) in integrated home health and social care, assessing its impact on costs. Delving into financial considerations and user perspectives, we propose QoS measures based on consultations with stakeholders.
View Article and Find Full Text PDFInt J Environ Res Public Health
February 2022
An aging population and rising life expectancy lead to an increased demand for social services to care for dependent users, among other factors. In Barcelona, home social care (HSC) services are a key agent in meeting this demand. However, demand is not evenly distributed among neighborhoods, and we hypothesized that this can be explained by the user's social environment.
View Article and Find Full Text PDFThe location of primary public schools in urban areas of developing countries is the focus of this study. In such areas, new schools and modification of the current schools are required, and this process should be developed using rational and broad supporting tools for decision makers, such as optimization models. We propose a realistic coverage location model and a framework to analyze the location of schools.
View Article and Find Full Text PDFInt J Environ Res Public Health
November 2020
Health care is a pillar of modern society. This study focuses on the use of descriptive analytics to provide demographic and territorial insights that will be of strategic importance in planning subsequent projects meant to improve health care services. We especially focus on the assessment of the elder and disabled population health care needs in Barcelona, and evaluate to what extent the current health care infrastructure is successful in covering the demand of these fragile population segment.
View Article and Find Full Text PDFInt J Environ Res Public Health
October 2020
In this work, we establish a methodological framework to analyze the care demand for elderly citizens in any area with a large proportion of elderly population, and to find connections to the cumulative incidence of COVID-19. Thanks to this analysis, it is possible to detect deficiencies in the public elderly care system, identify the most disadvantaged areas in this sense, and reveal convenient information to improve the system. The methods used in each step of the framework belong to data analytics: choropleth maps, clustering analysis, principal component analysis, or linear regression.
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