首页 | 本学科首页   官方微博 | 高级检索  
     


Prediction of community mental health service utilization by individual and ecological level socio-economic factors
Authors:Valeria Donisi  Federico Tedeschi  Mauro Percudani  Andrea Fiorillo  Linda Confalonieri  Corrado De Rosa  Damiano Salazzari  Michele Tansella  Graham Thornicroft  Francesco Amaddeo
Affiliation:1. Department of Public Health and Community Medicine, Section of Psychiatry, University of Verona, Italy;2. Department of Mental Health, Azienda Ospedaliera G. Salvini, Garbagnate Milanese, Milano, Italy;3. Department of Psychiatry, University of Naples, Italy;4. King''s College London, Institute of Psychiatry, UK
Abstract:Individuals with a more deprived socioeconomic status (SES) are more likely to have higher rates of psychiatric morbidity and use of psychiatric services. Such service use is also influenced by socioeconomic factors at the ecological level. The aim of this article is to investigate the influence of these variables on service utilization. All patients in contact with three Italian community psychiatric services (CPS) were included. Community and hospital contacts over 6 months were investigated. Socio-economic characteristics were described using a SES Index and two new Resources Accessibility Indexes. Low SES was found to be associated with more community service contacts. When other individual and ecological variables were controlled for, SES was negatively associated only with the number of home visits, which was about half the rate in deprived areas. An association between service utilization and the resources of the catchment area was also detected. The economic crisis in Europe is increasing inequality of access, so paying attention to SES characteristics at both the individual and the ecological levels is likely to become increasingly important in understanding patterns of psychiatric service utilization and planning care accordingly.
Keywords:Mental health service evaluation   Social psychiatry   Psychiatric epidemiology   Accessibility   Social determinants   Multilevel regression
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号