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Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia
BACKGROUND: Though controversial for its various disadvantages, involuntary admission (IA) is necessary in providing mental health care for patients suffering from schizophrenia in China. This article examines the IA rate in a representative sample, and under which circumstances are these patients m...
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/PMC9769007/ https://www.ncbi.nlm.nih.gov/pubmed/36544107 http://dx.doi.org/10.1186/s12888-022-04480-3 |
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author | Ma, Hua-Jian Zheng, Yu-Chen Shao, Yang Xie, Bin |
author_facet | Ma, Hua-Jian Zheng, Yu-Chen Shao, Yang Xie, Bin |
author_sort | Ma, Hua-Jian |
collection | PubMed |
description | BACKGROUND: Though controversial for its various disadvantages, involuntary admission (IA) is necessary in providing mental health care for patients suffering from schizophrenia in China. This article examines the IA rate in a representative sample, and under which circumstances are these patients more likely to be admitted involuntarily. METHODS: Adult patients consecutively admitted to two typical hospitals in Shanghai between 2013 and 2014 with a diagnosis of ICD-10 schizophrenia were included. 2167 patients were included in this study. Sociodemographic and clinical data, as well as personal information of psychiatrists who made risk assessment, were collected. The whole sample was divided into voluntary and involuntary admission groups. Group comparisons were performed with SPSS 17.0, using one-way ANOVA, Wilcoxon rank sum test, Chi-squares and Logistic regression. RESULTS: Among 2167 inpatients, the majority (2003, 92.4%) were involuntarily admitted. Clinical features, including age of patients (p < 0.001, OR = 1.037), lacking of insight (p < 0.001, OR = 3.691), were statistically significant for IA. Psychiatrist’s age (p < 0.001, OR = 1.042) was independently associated with IA. However, risk behaviors had dramatically affected patients’ admission status, of which the strongest predictor of IA was noncompliance with treatment (p < 0.001, OR = 3.597). The areas under the curve of the ROC and accuracy for the regression model were 0.815 and 0.927, respectively. CONCLUSION: IA patients account for a major proportion of all those hospitalized with schizophrenia in China. Insights and risk behaviors contributed the most reasons for admission status of patients. This research shed light on necessity of further qualitative studies learning detailed evaluation processes of IA and high-quality interventional studies aiming to limit the performance of IA among patients with schizophrenia. |
format | Online Article Text |
id | pubmed-9769007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97690072022-12-22 Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia Ma, Hua-Jian Zheng, Yu-Chen Shao, Yang Xie, Bin BMC Psychiatry Research BACKGROUND: Though controversial for its various disadvantages, involuntary admission (IA) is necessary in providing mental health care for patients suffering from schizophrenia in China. This article examines the IA rate in a representative sample, and under which circumstances are these patients more likely to be admitted involuntarily. METHODS: Adult patients consecutively admitted to two typical hospitals in Shanghai between 2013 and 2014 with a diagnosis of ICD-10 schizophrenia were included. 2167 patients were included in this study. Sociodemographic and clinical data, as well as personal information of psychiatrists who made risk assessment, were collected. The whole sample was divided into voluntary and involuntary admission groups. Group comparisons were performed with SPSS 17.0, using one-way ANOVA, Wilcoxon rank sum test, Chi-squares and Logistic regression. RESULTS: Among 2167 inpatients, the majority (2003, 92.4%) were involuntarily admitted. Clinical features, including age of patients (p < 0.001, OR = 1.037), lacking of insight (p < 0.001, OR = 3.691), were statistically significant for IA. Psychiatrist’s age (p < 0.001, OR = 1.042) was independently associated with IA. However, risk behaviors had dramatically affected patients’ admission status, of which the strongest predictor of IA was noncompliance with treatment (p < 0.001, OR = 3.597). The areas under the curve of the ROC and accuracy for the regression model were 0.815 and 0.927, respectively. CONCLUSION: IA patients account for a major proportion of all those hospitalized with schizophrenia in China. Insights and risk behaviors contributed the most reasons for admission status of patients. This research shed light on necessity of further qualitative studies learning detailed evaluation processes of IA and high-quality interventional studies aiming to limit the performance of IA among patients with schizophrenia. BioMed Central 2022-12-21 /pmc/articles/PMC9769007/ /pubmed/36544107 http://dx.doi.org/10.1186/s12888-022-04480-3 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 Ma, Hua-Jian Zheng, Yu-Chen Shao, Yang Xie, Bin Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
title | Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
title_full | Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
title_fullStr | Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
title_full_unstemmed | Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
title_short | Status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
title_sort | status and clinical influencing factors of involuntary admission in chinese patients with schizophrenia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769007/ https://www.ncbi.nlm.nih.gov/pubmed/36544107 http://dx.doi.org/10.1186/s12888-022-04480-3 |
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