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The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia

BACKGROUND: With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in G...

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Autores principales: Tan, Wenyan, Lin, Haicheng, Lei, Baoxin, Ou, Aihua, He, Zehui, Yang, Ning, Jia, Fujun, Weng, Heng, Hao, Tianyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477870/
https://www.ncbi.nlm.nih.gov/pubmed/32646484
http://dx.doi.org/10.1186/s12911-020-1125-0
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author Tan, Wenyan
Lin, Haicheng
Lei, Baoxin
Ou, Aihua
He, Zehui
Yang, Ning
Jia, Fujun
Weng, Heng
Hao, Tianyong
author_facet Tan, Wenyan
Lin, Haicheng
Lei, Baoxin
Ou, Aihua
He, Zehui
Yang, Ning
Jia, Fujun
Weng, Heng
Hao, Tianyong
author_sort Tan, Wenyan
collection PubMed
description BACKGROUND: With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade. METHODS: Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis. RESULTS: The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients’ cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk. CONCLUSIONS: Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.
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spelling pubmed-74778702020-09-09 The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia Tan, Wenyan Lin, Haicheng Lei, Baoxin Ou, Aihua He, Zehui Yang, Ning Jia, Fujun Weng, Heng Hao, Tianyong BMC Med Inform Decis Mak Research BACKGROUND: With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade. METHODS: Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis. RESULTS: The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients’ cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk. CONCLUSIONS: Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic. BioMed Central 2020-07-09 /pmc/articles/PMC7477870/ /pubmed/32646484 http://dx.doi.org/10.1186/s12911-020-1125-0 Text en © The Author(s). 2020 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.
spellingShingle Research
Tan, Wenyan
Lin, Haicheng
Lei, Baoxin
Ou, Aihua
He, Zehui
Yang, Ning
Jia, Fujun
Weng, Heng
Hao, Tianyong
The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
title The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
title_full The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
title_fullStr The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
title_full_unstemmed The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
title_short The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
title_sort psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477870/
https://www.ncbi.nlm.nih.gov/pubmed/32646484
http://dx.doi.org/10.1186/s12911-020-1125-0
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