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      Admissions to psychiatric inpatient services and use of coercive measures in 2020 in a Swiss psychiatric department: An interrupted time-series analysis


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          The CoVID pandemic and the associated lockdown had a significant impact on mental health services. Inpatient services faced the challenge of offering acute psychiatric while implementing strict infection control measures. There is, however, a lack of studies investigating the use of coercive measures during the pandemic and their relation to hospitalizations and symptom severity.


          To investigate the effects of the CoVID outbreak on psychiatric admissions, use of seclusion and symptom severity.


          Using routine data from 2019 and 2020 gathered in the Department of Psychiatry at the Geneva University Hospitals, we performed an interrupted time series analysis. This included the number of psychiatric hospitalizations, the proportion of people who experienced seclusion and the average severity of symptoms as measured by the Health of Nations Outcome Scale (HoNOS). Dependent variables were regressed on the time variable using regression model with bootstrapped standard errors.


          Hospitalizations decreased over time ( b = -0.57, 95% CI: -0.67; -0.48, p < .001). A structural break in the data (supremum Wald test: p < .001) was observed in the 12 th week of 2020. There was an inverse relationship between the number of admissions and the proportions of people subject to seclusion ( b = 0.21, 95% CI: -0.32; -0.09, p < .001). There was a statistically marginally significant inverse relationship between HoNOS scores at admission and the number of psychiatric hospitalizations ( b = -1.28, 95% CI: -2.59, 0.02, p = .054).


          Our results show that the CoVID pandemic in 2020 was associated with a significant decrease in the number of hospital admissions. This decrease was correlated with a greater use of seclusion. The higher burden of symptoms and the difficult implementation of infection control measures might explain this higher use of coercion.

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          Co-Integration and Error Correction: Representation, Estimation, and Testing

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            Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study

            Summary Background Assessing the burden of COVID-19 on the basis of medically attended case numbers is suboptimal given its reliance on testing strategy, changing case definitions, and disease presentation. Population-based serosurveys measuring anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) antibodies provide one method for estimating infection rates and monitoring the progression of the epidemic. Here, we estimate weekly seroprevalence of anti-SARS-CoV-2 antibodies in the population of Geneva, Switzerland, during the epidemic. Methods The SEROCoV-POP study is a population-based study of former participants of the Bus Santé study and their household members. We planned a series of 12 consecutive weekly serosurveys among randomly selected participants from a previous population-representative survey, and their household members aged 5 years and older. We tested each participant for anti-SARS-CoV-2-IgG antibodies using a commercially available ELISA. We estimated seroprevalence using a Bayesian logistic regression model taking into account test performance and adjusting for the age and sex of Geneva's population. Here we present results from the first 5 weeks of the study. Findings Between April 6 and May 9, 2020, we enrolled 2766 participants from 1339 households, with a demographic distribution similar to that of the canton of Geneva. In the first week, we estimated a seroprevalence of 4·8% (95% CI 2·4–8·0, n=341). The estimate increased to 8·5% (5·9–11·4, n=469) in the second week, to 10·9% (7·9–14·4, n=577) in the third week, 6·6% (4·3–9·4, n=604) in the fourth week, and 10·8% (8·2–13·9, n=775) in the fifth week. Individuals aged 5–9 years (relative risk [RR] 0·32 [95% CI 0·11–0·63]) and those older than 65 years (RR 0·50 [0·28–0·78]) had a significantly lower risk of being seropositive than those aged 20–49 years. After accounting for the time to seroconversion, we estimated that for every reported confirmed case, there were 11·6 infections in the community. Interpretation These results suggest that most of the population of Geneva remained uninfected during this wave of the pandemic, despite the high prevalence of COVID-19 in the region (5000 reported clinical cases over <2·5 months in the population of half a million people). Assuming that the presence of IgG antibodies is associated with immunity, these results highlight that the epidemic is far from coming to an end by means of fewer susceptible people in the population. Further, a significantly lower seroprevalence was observed for children aged 5–9 years and adults older than 65 years, compared with those aged 10–64 years. These results will inform countries considering the easing of restrictions aimed at curbing transmission. Funding Swiss Federal Office of Public Health, Swiss School of Public Health (Corona Immunitas research program), Fondation de Bienfaisance du Groupe Pictet, Fondation Ancrage, Fondation Privée des Hôpitaux Universitaires de Genève, and Center for Emerging Viral Diseases.
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              Distribution of the Estimators for Autoregressive Time Series With a Unit Root


                Author and article information

                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – review & editing
                Role: Editor
                PLoS One
                PLoS One
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                27 July 2023
                27 July 2023
                : 18
                : 7
                : e0289310
                [1 ] Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland
                [2 ] Division of Prison Health, Geneva University Hospitals & University of Geneva, Geneva, Switzerland
                [3 ] Department of Acute Medicine, Geneva University Hospitals, Geneva, Switzerland
                [4 ] Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
                [5 ] Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
                Dhaka University, BANGLADESH
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                © 2023 Wullschleger et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                : 1 February 2023
                : 14 July 2023
                Page count
                Figures: 4, Tables: 1, Pages: 12
                Funded by: Fondation Privée des HUG
                Award ID: 135- COVID LIBERTE PSY
                Award Recipient :
                AW and SK received funding from the Private Fondation of the HUG ( https://www.fondationhug.org/en). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Research Article
                Medicine and Health Sciences
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Health Care
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Medicine and Health Sciences
                Diagnostic Medicine
                Virus Testing
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Time Series Analysis
                Physical Sciences
                Statistical Methods
                Time Series Analysis
                Engineering and Technology
                Time Measurement
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                Medical Risk Factors
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