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Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia

BACKGROUND: People with schizophrenia often delay treatment. This issue is not fully understood, particularly in low-and middle-income countries. This study aimed to elucidate the prevalence, risk factors and multiple outcomes of treatment delay in schizophrenia in a Chinese metropolis. METHODS: A t...

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Autores principales: Yu, Yue-Hui, Lu, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576347/
https://www.ncbi.nlm.nih.gov/pubmed/37833690
http://dx.doi.org/10.1186/s12888-023-05247-0
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author Yu, Yue-Hui
Lu, Quan
author_facet Yu, Yue-Hui
Lu, Quan
author_sort Yu, Yue-Hui
collection PubMed
description BACKGROUND: People with schizophrenia often delay treatment. This issue is not fully understood, particularly in low-and middle-income countries. This study aimed to elucidate the prevalence, risk factors and multiple outcomes of treatment delay in schizophrenia in a Chinese metropolis. METHODS: A two-stage whole cluster sampling survey was conducted in Beijing, China in 2020. A total of 1,619 patients with schizophrenia were included. Heterogeneity between groups and the changing trend of treatment delay were presented. Regression modelling methods were used to examine both the risk factors for treatment delay and related outcomes at individual and family levels. RESULTS: The median treatment delay for schizophrenia was 89 days (about 13 weeks). 49.35% surveyed patients delayed treatment for more than three months. Early age of onset, low level of education, living in well developed districts were important risk factors. Treatment delay in schizophrenia was significantly associated with patients’ poor medication adherence, comorbidity status and poor social functioning. It also increased the negative impact of the illness on families. CONCLUSIONS: This study accumulated evidence of treatment delay in schizophrenia in China. It occurs even in the metropolis where mental health resources are relatively adequate. Further targeted interventions to raise public awareness should be crucial to reduce treatment delay.
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spelling pubmed-105763472023-10-15 Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia Yu, Yue-Hui Lu, Quan BMC Psychiatry Research BACKGROUND: People with schizophrenia often delay treatment. This issue is not fully understood, particularly in low-and middle-income countries. This study aimed to elucidate the prevalence, risk factors and multiple outcomes of treatment delay in schizophrenia in a Chinese metropolis. METHODS: A two-stage whole cluster sampling survey was conducted in Beijing, China in 2020. A total of 1,619 patients with schizophrenia were included. Heterogeneity between groups and the changing trend of treatment delay were presented. Regression modelling methods were used to examine both the risk factors for treatment delay and related outcomes at individual and family levels. RESULTS: The median treatment delay for schizophrenia was 89 days (about 13 weeks). 49.35% surveyed patients delayed treatment for more than three months. Early age of onset, low level of education, living in well developed districts were important risk factors. Treatment delay in schizophrenia was significantly associated with patients’ poor medication adherence, comorbidity status and poor social functioning. It also increased the negative impact of the illness on families. CONCLUSIONS: This study accumulated evidence of treatment delay in schizophrenia in China. It occurs even in the metropolis where mental health resources are relatively adequate. Further targeted interventions to raise public awareness should be crucial to reduce treatment delay. BioMed Central 2023-10-13 /pmc/articles/PMC10576347/ /pubmed/37833690 http://dx.doi.org/10.1186/s12888-023-05247-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Yu, Yue-Hui
Lu, Quan
Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia
title Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia
title_full Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia
title_fullStr Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia
title_full_unstemmed Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia
title_short Prevalence, risk factors and multiple outcomes of treatment delay in Chinese patients with schizophrenia
title_sort prevalence, risk factors and multiple outcomes of treatment delay in chinese patients with schizophrenia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576347/
https://www.ncbi.nlm.nih.gov/pubmed/37833690
http://dx.doi.org/10.1186/s12888-023-05247-0
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