The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia
Abstract 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 psycho...
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BMC
2020-07-01
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Series: | BMC Medical Informatics and Decision Making |
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Online Access: | http://link.springer.com/article/10.1186/s12911-020-1125-0 |
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author | Wenyan Tan Haicheng Lin Baoxin Lei Aihua Ou Zehui He Ning Yang Fujun Jia Heng Weng Tianyong Hao |
author_facet | Wenyan Tan Haicheng Lin Baoxin Lei Aihua Ou Zehui He Ning Yang Fujun Jia Heng Weng Tianyong Hao |
author_sort | Wenyan Tan |
collection | DOAJ |
description | Abstract 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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issn | 1472-6947 |
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last_indexed | 2024-04-12T07:40:12Z |
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spelling | doaj.art-63eeb44c7b9b4b3b96081f45f3bbbf7a2022-12-22T03:41:50ZengBMCBMC Medical Informatics and Decision Making1472-69472020-07-0120S311910.1186/s12911-020-1125-0The psychosis analysis in real-world on a cohort of large-scale patients with schizophreniaWenyan Tan0Haicheng Lin1Baoxin Lei2Aihua Ou3Zehui He4Ning Yang5Fujun Jia6Heng Weng7Tianyong Hao8Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical ScienceGuangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical ScienceSchool of Computer Science, South China Normal UniversityDepartment of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineDepartment of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital)Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical ScienceDepartment of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese MedicineSchool of Computer Science, South China Normal UniversityAbstract 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.http://link.springer.com/article/10.1186/s12911-020-1125-0SchizophreniaEpidemiology researchQuantitative analysis |
spellingShingle | Wenyan Tan Haicheng Lin Baoxin Lei Aihua Ou Zehui He Ning Yang Fujun Jia Heng Weng Tianyong Hao The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia BMC Medical Informatics and Decision Making Schizophrenia Epidemiology research Quantitative analysis |
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 | Schizophrenia Epidemiology research Quantitative analysis |
url | http://link.springer.com/article/10.1186/s12911-020-1125-0 |
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