Cross-Cultural Notions of Risk and Liberty: A Comparison of Involuntary Psychiatric Hospitalization and Outpatient Treatment in New York, United States and Zurich, Switzerland

Involuntary hospitalization is a frequently discussed intervention physicians must sometimes execute. Because this intervention has serious implications for the citizens' civil liberties it is regulated by law. Every country's health system approaches this issue differently with regard to the relevant laws and the logistical processes by which involuntary hospitalization generally is enacted. This paper aims at analyzing the regulation and process of involuntary hospitalization in New York (United States) and Zurich (Switzerland). Comparing the respective historical, political, and economic backgrounds shows how notions of risk and liberty are culture-bound and consequently shape legislation and local practices. It is highly relevant to reconsider which criteria are required for involuntary hospitalization as this might shape the view of society on psychiatric patients and psychiatry itself. Furthermore, this article discusses the impact that training and experience of the person authorized to conduct and maintain an involuntary hospitalization has on the outcome

A Randomized Controlled Trial Study of a Multimodal Intervention vs. Cognitive Training to Foster Cognitive and Affective Health in Older Adults.

Research over the past few decades has shown the positive influence that cognitive, social, and physical activities have on older adults' cognitive and affective health. Especially interventions in health-related behaviors, such as cognitive activation, physical activity, social activity, nutrition, mindfulness, and creativity, have shown to be particularly beneficial. Whereas most intervention studies apply unimodal interventions, such as cognitive training (CT), this study investigates the potential to foster cognitive and affective health factors of older adults by means of an autonomy-supportive multimodal intervention (MMI). The intervention integrates everyday life recommendations for six evidence-based areas combined with psychoeducational information. This randomized controlled trial study compares the effects of a MMI and CT on those of a waiting control group (WCG) on cognitive and affective factors, everyday life memory performance, and activity in everyday life. Three groups, including a total of 119 adults aged 65-86 years, attended a 5- or 10-week intervention. Specifically, one group completed a 10-week MMI, the second group completed 5-week of computer-based CT followed by a 5-week MMI, whereas the third group paused before completing the MMI for the last 5 weeks. All participants completed online surveys and cognitive tests at three test points. The findings showed an increase in the number and variability of activities in the everyday lives of all participants. Post hoc analysis on cognitive performance of MMI to CT indicate similar (classic memory and attention) or better (working memory) effects. Furthermore, results on far transfer variables showed interesting trends in favor of the MMI, such as increased well-being and attitude toward the aging brain. Also, the MMI group showed the biggest perceived improvements out of all groups for all self-reported personal variables (memory in everyday life and stress). The results implicate a positive trend toward MMI on cognitive and affective factors of older adults. These tendencies show the potential of a multimodal approach compared to training a specific cognitive function. Moreover, the findings suggest that information about MMI motivates participants to increase activity variability and frequency in everyday life. Finally, the results could also have implications for the primary prevention of neurocognitive deficits and degenerative diseases

Therapeutic alliance, social inclusion and infection control - Towards pandemic-adapted mental health care services in Switzerland

The Covid-19 pandemic has challenged the Swiss mental health care system. Many services were downsized or closed and admission to treatment and care institutions was restricted during lockdown. While these measures were necessary according to the general containment and mitigation strategies of federal and cantonal authorities, this situation has had negative consequences for care and treatment of service users. This paper asks to re-think key aspects of the Swiss mental health care system that have demonstrated to be not adaptable to the pandemic. In particular, the paper suggests diversifying care and treatment settings and strengthening outpatient and outreach services. Finally, some proposals to foster social inclusion during and after the pandemic are outline

Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression

Introduction: Although knowledge about negative effects of coercive measures in psychiatry exists, its prevalence is still high in clinical routine. This study aimed at define risk factors and test machine learning algorithms for their accuracy in the prediction of the risk to being subjected to coercive measures.Methods: In a sample of involuntarily hospitalized patients (n = 393) at the University Hospital of Psychiatry Zurich, we analyzed risk factors for the experience of coercion (n = 170 patients) using chi-square tests and Mann Whitney U tests. We trained machine learning algorithms [logistic regression, Supported Vector Machine (SVM), and decision trees] with these risk factors and tested obtained models for their accuracy via five-fold cross validation. To verify the results we compared them to binary logistic regression.Results: In a model with 8 risk-factors which were available at admission, the SVM algorithm identified 102 out of 170 patients, which had experienced coercion and 174 out of 223 patients without coercion (69% accuracy with 60% sensitivity and 78% specificity, AUC 0.74). In a model with 18 risk-factors, available after discharge, the logistic regression algorithm identified 121 out of 170 with and 176 out of 223 without coercion (75% accuracy, 71% sensitivity, and 79% specificity, AUC 0.82).Discussion: Incorporating both clinical and demographic variables can help to estimate the risk of experiencing coercion for psychiatric patients. This study could show that trained machine learning algorithms are comparable to binary logistic regression and can reach a good or even excellent area under the curve (AUC) in the prediction of the outcome coercion/no coercion when cross validation is used. Due to the better generalizability machine learning is a promising approach for further studies, especially when more variables are analyzed. More detailed knowledge about individual risk factors may help to prevent the occurrence of situations involving coercion

Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression

Introduction: Although knowledge about negative effects of coercive measures in psychiatry exists, its prevalence is still high in clinical routine. This study aimed at define risk factors and test machine learning algorithms for their accuracy in the prediction of the risk to being subjected to coercive measures. Methods: In a sample of involuntarily hospitalized patients (n = 393) at the University Hospital of Psychiatry Zurich, we analyzed risk factors for the experience of coercion (n = 170 patients) using chi-square tests and Mann Whitney U tests. We trained machine learning algorithms [logistic regression, Supported Vector Machine (SVM), and decision trees] with these risk factors and tested obtained models for their accuracy via five-fold cross validation. To verify the results we compared them to binary logistic regression. Results: In a model with 8 risk-factors which were available at admission, the SVM algorithm identified 102 out of 170 patients, which had experienced coercion and 174 out of 223 patients without coercion (69% accuracy with 60% sensitivity and 78% specificity, AUC 0.74). In a model with 18 risk-factors, available after discharge, the logistic regression algorithm identified 121 out of 170 with and 176 out of 223 without coercion (75% accuracy, 71% sensitivity, and 79% specificity, AUC 0.82). Discussion: Incorporating both clinical and demographic variables can help to estimate the risk of experiencing coercion for psychiatric patients. This study could show that trained machine learning algorithms are comparable to binary logistic regression and can reach a good or even excellent area under the curve (AUC) in the prediction of the outcome coercion/no coercion when cross validation is used. Due to the better generalizability machine learning is a promising approach for further studies, especially when more variables are analyzed. More detailed knowledge about individual risk factors may help to prevent the occurrence of situations involving coercion

Clinical course and prevalence of coercive measures: an observational study among involuntarily hospitalised psychiatric patients

AIMS OF THE STUDY In daily clinical work, coercion continues to be highly prevalent, with rates differing between countries and sometimes even within countries or between wards of the same hospital. Previous research found inconsistent characteristics of individuals who underwent coercive measures during psychiatric treatment. Furthermore, there continues to be a lack of knowledge on the clinical course of people after being involuntarily committed. This study aimed to describe the rate and duration of different coercive measures and characterise a cohort of involuntarily committed patients regarding sociodemographic and clinical variables. METHODS In this observational cohort study, we analysed clinical data from the patients’ medical files, the use of coercive measures (seclusion, restraint, coercive medication) and other procedural aspects in involuntarily hospitalised patients (n = 612) at the University Hospital of Psychiatry Zurich. For analysis, we used cross-tabulation with chi-square tests for categorical variables and, owing to a non-normal distribution, the Mann-Whitney U-test for interval variables. RESULTS Coercive measures were documented in 170 patients (28% of those who were involuntarily hospitalised). The total number of seclusions was 344, with a mean duration of 9 hours per seclusion. A total of 89 patients (15%) received 159 episodes of coercive medication (oral and intramuscular). Also, 11 episodes of restraint were recorded in 7 patients (1%) with a mean duration of 12 hours per restraint. Patients subjected to coercion were significantly more often male, violent prior to admission, diagnosed with psychosis or personality disorder, and had a history of frequent hospitalisations with long durations of hospitalisation. CONCLUSIONS The prevalence of coercive measures is still high in involuntarily hospitalised patients. Seclusion was the most frequently used coercive measure, which may be based on cultural and clinical aspects and differs from findings in other countries where restraint is more frequently used. Some sociodemographic and clinical characteristics were associated with the use of coercion. This underlines the importance of developing treatment strategies for patients at risk to prevent situations in which the use of coercion is necessary. To enable comparison between different study sites, standardised protocols should be used to document frequency and duration of coercive measures

Cross-Cultural Notions of Risk and Liberty: A Comparison of Involuntary Psychiatric Hospitalization and Outpatient Treatment in New York, United States and Zurich, Switzerland

Involuntary hospitalization is a frequently discussed intervention physicians must sometimes execute. Because this intervention has serious implications for the citizens' civil liberties it is regulated by law. Every country's health system approaches this issue differently with regard to the relevant laws and the logistical processes by which involuntary hospitalization generally is enacted. This paper aims at analyzing the regulation and process of involuntary hospitalization in New York (United States) and Zurich (Switzerland). Comparing the respective historical, political, and economic backgrounds shows how notions of risk and liberty are culture-bound and consequently shape legislation and local practices. It is highly relevant to reconsider which criteria are required for involuntary hospitalization as this might shape the view of society on psychiatric patients and psychiatry itself. Furthermore, this article discusses the impact that training and experience of the person authorized to conduct and maintain an involuntary hospitalization has on the outcome