A5057443223- Health Systems, Economic Evaluations, Quality of Life
- Health disparities and outcomes
- Mental Health Treatment and Access
- Psychiatric care and mental health services
- Efficiency Analysis Using DEA
- Spatial and Panel Data Analysis
- Healthcare Policy and Management
- Digital Mental Health Interventions
- Chronic Disease Management Strategies
- Healthcare Systems and Public Health
- Primary Care and Health Outcomes
- Geriatric Care and Nursing Homes
- COVID-19 and Mental Health
- Mental Health Research Topics
- Corneal surgery and disorders
- Data-Driven Disease Surveillance
- Employment and Welfare Studies
- Healthcare cost, quality, practices
- Corneal Surgery and Treatments
- Glaucoma and retinal disorders
- Global Health Workforce Issues
- Evolutionary Algorithms and Applications
- Urban Transport and Accessibility
- Sustainable Agricultural Systems Analysis
- Migration and Labor Dynamics
Universidad Loyola Andalucía
2016-2025
University of Canberra
2023-2025
Universidad Loyola
2014-2024
Hôpital Marie Lannelongue
2023
Bicêtre Hospital
2023
Assistance Publique – Hôpitaux de Paris
2023
Université Paris-Saclay
2023
Loyola University Chicago
2013-2014
University of Córdoba
2008-2012
Universidade de Vigo
2008
Studies show that the association between socio-economic status (SES) and self-rated health (SRH) varies in different countries, however there are not many country-comparisons examine this relationship over time. The objective of present study is to determine effect three SES measures on SRH 29 countries according findings European Social Surveys (2002–2008), order how inequalities can vary our subjective state health. In line with previous studies, income seem be greater only Anglo-Saxon...
Aims. There is a need of more quantitative standardised data to compare local Mental Health Systems (MHSs) across international jurisdictions. Problems related terminological variability and commensurability in the evaluation services hamper like-with-like comparisons hinder development work this area. This study was aimed provide standard assessment comparison MHS selected areas Europe, contributing better understanding allocation resources at level lessen scarcity service Europe. part...
Decision support in health systems is a highly difficult task, due to the inherent complexity of process and structures involved. This paper introduces new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge data analysis methods, elicits implicit or tacit (IK) improve decision healthcare systems. EbCA has been applied two different case studies, showing its usability versatility: 1) Bench-marking small mental areas based on...
Mental health services (MHS) have gone through vast changes during the last decades, shifting from hospital to community-based care. Developing optimal balance and use of resources requires standard comparisons mental care systems across countries. This study aimed compare structure, personnel resource allocation, productivity MHS in two benchmark districts a Nordic welfare state southern European, family-centered country. The is part REFINEMENT (Research on Financing Systems’ Effect Quality...
Introduction: Mental health care is a critical area to better understand integrated and pilot the different components of model. However, there an urgent need for tools compare context mental in Europe.Method: The REMAST tool (REFINEMENT MApping Services Tool) combines series standardised service research instruments geographical information systems (GIS) develop local atlases from perspective horizontal vertical care. It contains five main sections: (a) Population Data; (b) Verona...
Decision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since are inherently complex, involving interactions between its structures, processes and outcomes, decision support (DSS) need to developed using advanced computational methods visual tools allow full system analysis, whilst incorporating domain experts analysis process. In this study, we use a DSS model for interactive data mining expert collaboration complex improve policy...
Background. This paper aims to present the Integrated Atlas of Mental Health Catalonia (2010) focusing on: (a) importance using a taxonomy-based coding and standard system data collection when assessing health services; (b) its relevance as tool for evidence-informed policy. Method. study maps all care-related services people with mental disorders available in 2010, ‘Description Evaluation Services Directories Europe long-term care’ (DESDE-LTC). The unit analysis is Basic Stable Input Care...
Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, decision support tools should follow thinking approach that incorporates expert knowledge. The aim paper introduce new Decision Support System (DSS) improve knowledge on health ecosystem, resource allocation management regional planning. Efficient Support-Mental (EDeS-MH) DSS integrates an...
There is a demand for international comparisons of mental health care in Latin America. The purpose this study was to describe catchment areas Chile and Spain order complement information reported at the macro-level (countries or regions).Availability utilization services adult population were assessed two urban three by using European Service Mapping Schedule (meso-level data). Indicators from previous data envelopment analysis (DEA) model basic community applied analysis.For countries,...
Abstract Background Spatial analysis is a relevant set of tools for studying the geographical distribution diseases, although its methods and techniques may yield very different results. A new hybrid approach has been applied to spatial treated prevalence depression in Catalonia (Spain) according following descriptive hypotheses: 1) clusters (hot cold spots) exist and, 2) these are related administrative divisions mental health care (catchment areas) this region. Methods In ecological study,...
Major efforts worldwide have been made to provide balanced Mental Health (MH) care. Any integrated MH ecosystem includes hospital and community-based care, highlighting the role of outpatient care in reducing relapses readmissions. This study aimed (i) identify potential expert-based causal relationships between inpatient variables, (ii) assess them by using statistical procedures, finally (iii) impact a specific policy enhancing balance on real performance. Causal (Bayesian network)...
Most of the mobile robot control frameworks are based on a middleware layer with several independent modules that implement primitive actions and report events about their state. These usually connected different interprocess communication mechanisms. Here, we propose to use hierarchical interpreted binary Petri nets coordinate activity these modules. Tasks described using an net editor saved in xml file. A dispatcher loads files executes under user requests. monitor shows state all running...
Decision support systems are appropriate tools for guiding policymaking processes, especially in mental health (MH), where care provision should be delivered a balanced and integrated way. This study aims to develop an analytical process (i) assessing the performance of MH ecosystem (ii) identifying benchmark target-for-improvement catchment areas. (inpatient, day outpatient types care) was analysed Mental Health Network Gipuzkoa (Osakidetza, Basque Country, Spain) using decision system that...