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A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects
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 urba...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753341/ https://www.ncbi.nlm.nih.gov/pubmed/36517752 http://dx.doi.org/10.1186/s12888-022-04364-6 |
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author | Zheng, Fuhao Lin, Yawen Wei, Qinfei Zeng, Zhaonan Xiong, Duanhua Wu, Siying |
author_facet | Zheng, Fuhao Lin, Yawen Wei, Qinfei Zeng, Zhaonan Xiong, Duanhua Wu, Siying |
author_sort | Zheng, Fuhao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9753341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97533412022-12-16 A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects Zheng, Fuhao Lin, Yawen Wei, Qinfei Zeng, Zhaonan Xiong, Duanhua Wu, Siying BMC Psychiatry Research 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. BioMed Central 2022-12-14 /pmc/articles/PMC9753341/ /pubmed/36517752 http://dx.doi.org/10.1186/s12888-022-04364-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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. |
spellingShingle | Research Zheng, Fuhao Lin, Yawen Wei, Qinfei Zeng, Zhaonan Xiong, Duanhua Wu, Siying A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects |
title | A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects |
title_full | A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects |
title_fullStr | A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects |
title_full_unstemmed | A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects |
title_short | A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects |
title_sort | cross-sectional analysis of registry data of severe mental disorders in fuzhou, china: current status and prospects |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753341/ https://www.ncbi.nlm.nih.gov/pubmed/36517752 http://dx.doi.org/10.1186/s12888-022-04364-6 |
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