José A Salinas-Pérez1, Mencía R Gutiérrez-Colosia2, Cristina Romero López-Alberca3, Miriam Poole4, María Luisa Rodero-Cosano5, Carlos R García-Alonso5, Luis Salvador-Carulla6. 1. Asociación Científica Psicost, Sevilla, España; Departamento de Métodos Cuantitativos, Universidad Loyola Andalucía, Dos Hermanas, Sevilla, España. Electronic address: jsalinas@uloyola.es. 2. Asociación Científica Psicost, Sevilla, España; Departamento de Psicología, Universidad Loyola Andalucía, Dos Hermanas, Sevilla, España. 3. Asociación Científica Psicost, Sevilla, España; Departamento de Psicología, Universidad de Cádiz, San Fernando, Cádiz, España. 4. Asociación Científica Psicost, Sevilla, España; Asociación Nuevo Futuro, Madrid, España. 5. Asociación Científica Psicost, Sevilla, España; Departamento de Métodos Cuantitativos, Universidad Loyola Andalucía, Dos Hermanas, Sevilla, España. 6. Asociación Científica Psicost, Sevilla, España; Centre for Mental Health Research, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia; Menzies Centre for Health Policy, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Abstract
OBJECTIVE: This article reviews the usability of the Integrated Atlases of Mental Health as a decision support tool for service planning following a health ecosystem research approach. METHOD: This study describes the types of atlases and the procedure for their development. Atlases carried out in Spain are presented and their impact in mental health service planning is assessed. Atlases comprise information on the local characteristics of the health care system, geographical availability of resources collected with the DESDE-LTC instrument and their use. Atlases use geographic information systems and other visualisation tools. Atlases follow a bottom-up collaborative approach involving decision-makers from planning agencies for their development and external validation. RESULTS: Since 2005, Integrated Atlases of Mental Health have been developed for nine regions in Spain comprising over 65% of the Spanish inhabitants. The impact on service planning has been unequal for the different regions. Catalonia, Biscay and Gipuzkoa, and Andalusia reach the highest impact. In these areas, health advisors have been actively involved in their co-design and implementation in service planning. CONCLUSIONS: Atlases allow detecting care gaps and duplications in care provision; monitoring changes of the system over time, and carrying out national and international comparisons, efficiency modelling and benchmarking. The knowledge provided by atlases could be incorporated to decision support systems in order to support an efficient mental health service planning based on evidence-informed policy.
OBJECTIVE: This article reviews the usability of the Integrated Atlases of Mental Health as a decision support tool for service planning following a health ecosystem research approach. METHOD: This study describes the types of atlases and the procedure for their development. Atlases carried out in Spain are presented and their impact in mental health service planning is assessed. Atlases comprise information on the local characteristics of the health care system, geographical availability of resources collected with the DESDE-LTC instrument and their use. Atlases use geographic information systems and other visualisation tools. Atlases follow a bottom-up collaborative approach involving decision-makers from planning agencies for their development and external validation. RESULTS: Since 2005, Integrated Atlases of Mental Health have been developed for nine regions in Spain comprising over 65% of the Spanish inhabitants. The impact on service planning has been unequal for the different regions. Catalonia, Biscay and Gipuzkoa, and Andalusia reach the highest impact. In these areas, health advisors have been actively involved in their co-design and implementation in service planning. CONCLUSIONS: Atlases allow detecting care gaps and duplications in care provision; monitoring changes of the system over time, and carrying out national and international comparisons, efficiency modelling and benchmarking. The knowledge provided by atlases could be incorporated to decision support systems in order to support an efficient mental health service planning based on evidence-informed policy.
Authors: Cristina Romero-Lopez-Alberca; Federico Alonso-Trujillo; Jose Luis Almenara-Abellan; Jose A Salinas-Perez; Mencia R Gutierrez-Colosia; Juan-Luis Gonzalez-Caballero; Sandra Pinzon Pulido; Luis Salvador-Carulla Journal: J Med Internet Res Date: 2021-03-15 Impact factor: 5.428
Authors: M R Gutierrez-Colosia; P Hinck; J Simon; A Konnopka; C Fischer; S Mayer; V Brodszky; L Hakkart-van Roijen; S Evers; A Park; H H König; W Hollingworth; J A Salinas-Perez; L Salvador-Carulla Journal: Epidemiol Psychiatr Sci Date: 2022-08-22 Impact factor: 7.818
Authors: Hossein Tabatabaei-Jafari; Jose A Salinas-Perez; Mary Anne Furst; Nasser Bagheri; John Mendoza; David Burke; Peter McGeorge; Luis Salvador-Carulla Journal: Int J Environ Res Public Health Date: 2020-11-17 Impact factor: 3.390