AI Article Synopsis

  • Approximately 92.4% of patients diagnosed with schizophrenia in Shanghai were admitted involuntarily, highlighting the significant role of involuntary admission (IA) in mental health care.
  • Significant clinical factors such as patient age, lack of insight, and noncompliance with treatment strongly influenced the likelihood of IA, with noncompliance being the strongest predictor.
  • The study emphasizes the need for further qualitative and interventional research to better understand the evaluation processes of IA and reduce its necessity among these patients.

Article Abstract

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769007PMC
http://dx.doi.org/10.1186/s12888-022-04480-3DOI Listing

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