Identifying Local and Centralized Mental Health ServicesThe Development of a New Categorizing Variable

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Ala-Nikkola , T , Pirkola , S , Kaila , M , Joffe , G , Kontio , R , Oranta , O , Sadeniemi , M , Wahlbeck , K & Saarni , S I 2018 , ' Identifying Local and Centralized Mental Health ServicesThe Development of a New Categorizing Variable ' , International Journal of Environmental Research and Public Health , vol. 15 , no. 6 , 1131 . https://doi.org/10.3390/ijerph15061131

Title: Identifying Local and Centralized Mental Health ServicesThe Development of a New Categorizing Variable
Author: Ala-Nikkola, Taina; Pirkola, Sami; Kaila, Minna; Joffe, Grigori; Kontio, Raija; Oranta, Olli; Sadeniemi, Minna; Wahlbeck, Kristian; Saarni, Samuli I.
Other contributor: University of Helsinki, Clinicum
University of Helsinki, Clinicum
University of Helsinki, Department of Psychiatry
University of Helsinki, Department of Psychiatry




Date: 2018-06
Language: eng
Number of pages: 16
Belongs to series: International Journal of Environmental Research and Public Health
ISSN: 1660-4601
DOI: https://doi.org/10.3390/ijerph15061131
URI: http://hdl.handle.net/10138/237335
Abstract: The challenges of mental health and substance abuse services (MHS) require shifting of the balance of resources from institutional care to community care. In order to track progress, an instrument that can describe these attributes of MHS is needed. We created a coding variable in the European Service Mapping Schedule-Revised (ESMS-R) mapping tool using a modified Delphi panel that classified MHS into centralized, local services with gatekeeping and local services without gatekeeping. For feasibility and validity, we tested the variable on a dataset comprising MHS in Southern Finland, covering a population of 2.3 million people. There were differences in the characteristics of services between our study regions. In our data, 41% were classified as centralized, 37% as local without gatekeeping and 22% as local services with gatekeeping. The proportion of resources allocated to local services varied from 20% to 43%. Reclassifying ESMS-R is an easy way to compare the important local vs. centralized balance of MHS systems globally, where such data exists. Further international studies comparing systems and validating this approach are needed.
Subject: mental health care
health service research
integrated care
European Service Mapping Schedule-Revised
MIDDLE-INCOME COUNTRIES
INTERNATIONAL CLASSIFICATION
MAPPING SCHEDULE
PRIMARY-CARE
SCHIZOPHRENIC DISORDERS
COMMUNITY
DISABILITY
SPAIN
DEINSTITUTIONALIZATION
REHABILITATION
3142 Public health care science, environmental and occupational health
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