Changing patterns and influencing factors of involuntary admissions following the implementation of China's mental health law: A 4-year longitudinal investigation

Experiences of care-seeking by schizophrenia patients with delayed diagnosis and treatment in rural China: A qualitative study

BACKGROUND

Patients with schizophrenia in rural areas of China face severe delays in getting appropriate treatment due to poverty, transportation, and limited availability of mental healthcare services. However, the experiences of care-seeking among patients with delayed diagnosis and treatment in rural areas remain poorly understood, and it remains unclear how these experiences influence patients' medical mistrust or expectations of care. This study aims to fill that void.

METHODS

We applied a qualitative phenomenological method. Patients were recruited through purposive sampling at a psychiatric hospital in Harbin, China. Semi-structured, one-to-one interviews were conducted, guided by an interview outline. Thematic analysis was performed using Colaizzi's seven-step method.

RESULTS

Data saturation was achieved after interviewing 13 participants aged 21 to 53 years. Three themes with eight subthemes were identified: (i) Barriers to seeking care, (ii) Feelings for psychiatric treatment, and (iii) Demand for mental healthcare. Several factors that may impede the timely diagnosis and treatment were identified, including patients, physicians, and institutions. The participants described their feelings of adverse treatment experiences, as well as expectations arising from this process. It predominantly covers awareness of the disease, supportive access to care, and geographic accessibility of services.

CONCLUSION

Patients with delayed diagnosis and treatment in rural areas often have negative experiences and various needs for mental health services in the pursuit of effective treatments. Policymakers and health planners should seriously consider the current challenges in rural mental healthcare to develop comprehensive strategies for improving prehospital delays and medical experience for this group of patients.

Who is coercively admitted to psychiatric wards? Epidemiological analysis of inpatient records of involuntary psychiatric admissions to a University General Hospital in Greece for the years 2008-2017

BACKGROUND

Involuntary psychiatric admissions are a widely used practice despite ethical concerns about coercion. There are particular concerns that vulnerable groups, such as single, unemployed or racial minorities, may be more subjected to such practices.

AIM

We aimed to investigate the social patterns of involuntary psychiatric admissions from 2008 to 2017 at University General Hospital in Ioannina, Greece.

METHOD

We retrospectively assessed inpatient records from 2008 to 2017 of patients admitted to the Department of Psychiatry of the Ioannina University General Hospital, Northwestern Greece. Alternative patients of alternative years were selected for inclusion; this yielded 332 patients involuntarily admitted, corresponding to 28.5% of total involuntary psychiatric admissions.

RESULTS

Over the 10-year period, the overall numbers of annual involuntary psychiatric admissions remained relatively stable, as did the length of hospital stay (mean = 23.8 days). The most common disorder upon admission was schizophrenia spectrum disorders, accounting for approximately two-thirds of all admissions, followed by mood disorders (about 20%). There was evidence that people who lacked social support or experienced financial hardship were more greatly represented among those admitted: 70.2% of admitted patients were single and 64.8% were unemployed. Most patients had been admitted to the psychiatric ward in the past (64.2%).

CONCLUSION

Our study indicates potentially worrisome evidence that patients who are in vulnerable positions are at elevated likelihood of being involuntarily admitted to psychiatric wards. Future research is needed to evaluate the socio-demographic patterning of involuntary admissions in other European countries.

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 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.

Why did China's mental health law have a limited effect on decreasing rates of involuntary hospitalization?

BACKGROUND

China's Mental Health Law (MHL) implemented in 2013 required increased consideration of the rights of people with mental illness and was expected to lead to a reduction in involuntary hospitalization (IH). This study aimed to examine the rates and correlates of IH in a large psychiatric hospital in Guangzhou from 2014 to 2017 after the implementation of MHL and a structured assessment of the need for IH.

METHODS

Unduplicated electronic medical records concerning all inpatients admitted to the hospital with a primary psychiatric diagnose were examined. Diagnostic, sociodemographic and socioeconomic data were used to identify correlates of IH using bivariate chi-square tests followed by logistic regression analysis.

RESULTS

Of 10, 818 hospitalized patients, there was a significant but small increase, from 71.6 to 74.9% in rates of IH in the years after a structured assessment of need for IH was implemented. Logistic regression analysis showed IH was positively associated with being younger, having a local residence, and a diagnosis of bipolar disorder, schizophrenia spectrum disorders or a substance abuse disorder as compared to those diagnosed with major depressive disorder.

CONCLUSIONS

IH did not decrease over the first four years after the implementation of China's MHL and a structured assessment in 2013 perhaps, reflecting the initiation of a systematic assessment of the need for IH and the relatively low number of psychiatric beds in this area.

Risk assessment and its influencing factors of involuntary admission in patients with mental disorders in Shanghai, China

BACKGROUND

The 'risk criterion' for involuntary admission (IA) has been adopted by Mental Health Law of the People's Republic of China since 2013. How the new legal regulation influences daily practices in psychiatric institutes are still unclear.

AIMS

The present study sought to explore the application of risk criterion in IA cases; especially risk assessed by psychiatrists at admission and its influencing factors.

METHOD

Socio-demographic and clinical data including risk assessment for admission of 3,529 involuntary admitted patients from two typical hospitals in Shanghai from 2013 to 2014 were consecutively collected. Personal information of psychiatrists who made admission assessment was collected separately.

RESULTS

Among the 3,529 cases, 1,890 (53.6%) were admitted because of actual harmful behaviors to self or others, while 1,639 (46.4%) were admitted with some kinds of risk, but 265 (7.5%) were admitted without any records on risk assessment checklists. Patients who were unemployed, of younger age, single status, diagnosed with schizophrenia were more likely to be admitted without any records on the checklist. Male gender, older age, and lower professional title are influencing factors that psychiatrists made no risk assessment records.

CONCLUSIONS

The vast majority (92.5%) of risk assessment in IA patients were qualified in our study. In order to protect the legal rights of patients better, operational and reasonable procedures of risk assessment should be developed, such include more detailed rules to IA, systematic training of psychiatrists on IA assessment, mechanism improving doctor-patient relationship, and alternative mental health services for patients and so on.

Factors associated with involuntary psychiatric hospitalization in Portugal

Background

Identifying which factors contribute to involuntary psychiatric hospitalization may support initiatives to reduce its frequency. This study examines the sociodemographic, clinical, and contextual factors associated with involuntary hospitalization of patients from five Portuguese psychiatric departments in 2002, 2007 and 2012.

Methods

Data from all admissions were extracted from clinical files. A Poisson generalized linear model estimated the association between the number of involuntary hospitalizations per patient in one year and sociodemographic, clinical, and contextual factors.

Results

An increment of involuntary hospitalizations was associated with male gender [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 1.31; 95%CI 1.06–1.62, p < 0.05], having secondary and higher education [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 1.45; 95%CI 1.05–2.01, p < 0.05, and exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 1.89; 95%CI 1.38–2.60, p < 0.001, respectively], a psychiatric diagnosis of psychosis [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 2.02; 95%CI 1.59–2.59, p < 0.001], and being admitted in 2007 and in 2012 [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 1.61; 95%CI 1.21–2.16, p < 0.01, and exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 1.73; 95%CI 1.31–2.32, p < 0.001, respectively]. A decrease in involuntary hospitalizations was associated with being married/cohabitating [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 0.74; 95%CI 0.56–0.99, p < 0.05], having experienced a suicide attempt [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 0.26; 95%CI 0.15–0.42, p < 0.001], and belonging to the catchment area of three of the psychiatric services evaluated [exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 0.65; 95%CI 0.49–0.86, p < 0.01, exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 0.67; 95%CI 0.49–0.90, p < 0.01, and exp(\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\widehat{\upbeta }$$\end{document}β^) = 0.67; 95%CI 0.46–0.96, p < 0.05 for Hospital de Magalhães Lemos, Centro Hospitalar Psiquiátrico de Lisboa and Unidade Local de Saúde do Baixo Alentejo, respectively].

Conclusions

The findings suggest that involuntary psychiatric hospitalizations in Portugal are associated with several sociodemographic, clinical, and contextual factors. This information may help identify high-risk patients and inform the development of better-targeted preventive interventions to reduce these hospitalizations.