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      A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects

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          Abstract

          Objective

          To investigate the proportion of registered cases relative to size, distribution characteristics, medication status, and management status of patients diagnosed with severe mental disorders (SMD) in Fuzhou. The medication status and management status were compared between patients in urban and non-urban areas to provide scientific evidence for improving SMD care, control, and treatment in primary health care institutions.

          Methods

          Data (case types, demographic data, distribution data, medication status, and management status, etc.) of patients diagnosed with SMD in 12 districts, counties, and prefectures in the urban and non-urban areas of Fuzhou City were collected from October 2017 to September 2018. Three distributions (population, local, and districts/counties) were used to describe the proportion of registered cases relative to size and clinical characteristics of diagnosed SMD. Chi squared ( χ2) test was used to compare the severity in urban and non-urban areas.

          Results

          A total of 30,362 registered SMD patients were identified in Fuzhou City of which schizophrenia accounted for the highest number of cases (26,204, 86.31%), and paranoid psychosis had the least number of cases (47, 0.15%). Moreover, approximately half of SMD patients were 18 to 44 years old (45.38%). Close to one third of patients were farmers (30.23%), had a primary school or lower education level (54.17%), were poor, with most below the poverty line (55.35%). The proportion of diagnosed SMD relative to size was highest in Minqing County (0.53%) and lowest in Mawei District (0.38%). A total of 22,989 (75.72%) of the patients were taking medications, and only 17,509 (57.67%) were taking medications regularly. Moreover, the percentage of cases taking medications and those taking medications regularly were higher in urban areas than in non-urban areas ( P<0.05). A total of 3065 patients were registered for management (10.09%). The managed proportion of SMD cases was higher in the urban areas than in the non-urban areas ( P < 0.05).

          Conclusion

          Schizophrenia is a key disease for comprehensive care and control of severe mental disorders in Fuzhou. The management of severe mental disorders should focus on poor groups with low educational backgrounds. Drug usage and management are better in urban areas than in non-urban areas, and thus management should be enhanced in non-urban areas. The medication management and case management of patients with severe mental disorders in Fuzhou need further improvements.

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          Most cited references32

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          Global Burden of Disease and the Impact of Mental and Addictive Disorders

          This contribution reviews the newest empirical evidence regarding the burden of mental and addictive disorders and weighs their importance for global health in the first decades of the twenty-first century.
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            Excess mortality in persons with severe mental disorders: a multilevel intervention framework and priorities for clinical practice, policy and research agendas.

            Excess mortality in persons with severe mental disorders (SMD) is a major public health challenge that warrants action. The number and scope of truly tested interventions in this area remain limited, and strategies for implementation and scaling up of programmes with a strong evidence base are scarce. Furthermore, the majority of available interventions focus on a single or an otherwise limited number of risk factors. Here we present a multilevel model highlighting risk factors for excess mortality in persons with SMD at the individual, health system and socio-environmental levels. Informed by that model, we describe a comprehensive framework that may be useful for designing, implementing and evaluating interventions and programmes to reduce excess mortality in persons with SMD. This framework includes individual-focused, health system-focused, and community level and policy-focused interventions. Incorporating lessons learned from the multilevel model of risk and the comprehensive intervention framework, we identify priorities for clinical practice, policy and research agendas.
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              Schizophrenia: overview and treatment options.

              Schizophrenia is a complex disorder characterized by an array of symptoms. This heterogeneity has resulted in a lack of consensus regarding diagnostic criteria, etiology, and pathophysiology, and has complicated efforts to devise effective treatments.
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                Author and article information

                Contributors
                fmuwsy@163.com
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                14 December 2022
                14 December 2022
                2022
                : 22
                : 790
                Affiliations
                [1 ]GRID grid.256112.3, ISNI 0000 0004 1797 9307, Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, , Fujian Medical University, ; Fuzhou, 350001 China
                [2 ]Department of Scientific Research Management, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001 China
                [3 ]Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001 China
                [4 ]Department of Prevention and Treatment, Fuzhou Neuropsychiatric Hospital, Fuzhou, 350001 China
                Article
                4364
                10.1186/s12888-022-04364-6
                9753341
                36517752
                2352eaf5-787f-403a-9960-88e682548e0d
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 9 September 2021
                : 10 October 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Clinical Psychology & Psychiatry
                severe mental disorders,epidemiology,disease management
                Clinical Psychology & Psychiatry
                severe mental disorders, epidemiology, disease management

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