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1.
BMC Psychiatry ; 24(1): 441, 2024 Jun 12.
Article in English | MEDLINE | ID: mdl-38867167

ABSTRACT

BACKGROUND: Literature on psychiatric emergency services (PES) presentations during the COVID-19 pandemic showed heterogeneous results regarding patients brought in by police (BIBP). This is the first study primarily focusing on patients BIBP in a PES during the COVID-19-period. METHODS: Case documentation records during the first and second wave of the COVID-19 pandemic in a PES in Berlin, Germany were analyzed using descriptive data analysis and binomial logistic regression analysis to detect factors that predict presentations BIBP. RESULTS: 5440 PES presentations: 20.4% BIBP during the first wave vs. 16.3% during its control period; second wave: 17.6% BIBP vs. 14.9% during its control period. In both waves, absolute increases in presentations BIBP were seen compared to control (p = .029, p = .028, respectively). COVID-19-period was a predictor for presentations BIBP during the first and the second wave. The following factors also predicted presentations BIBP: younger age, male gender, aggressive behavior, suicide attempt prior to presentation and diagnosis of psychotic or substance use disorders; depressive disorders were negatively associated. CONCLUSIONS: During the two first waves of the COVID-19 pandemic, there was an increase in presentations BIBP in a PES in Berlin. Regression analysis shows that the pandemic itself was a predictor of presentations BIBP. The underlying factors of this association need to be further elucidated in future research. Additionally, general factors predicting PES presentations BIBP are reported that replenish the present literature.


Subject(s)
COVID-19 , Emergency Services, Psychiatric , Mental Disorders , Police , Humans , COVID-19/epidemiology , COVID-19/psychology , Male , Female , Adult , Retrospective Studies , Police/statistics & numerical data , Middle Aged , Emergency Services, Psychiatric/statistics & numerical data , Berlin/epidemiology , Mental Disorders/epidemiology , Referral and Consultation/statistics & numerical data , Germany/epidemiology , Young Adult , Suicide, Attempted/statistics & numerical data , Aged
2.
J Gambl Stud ; 39(2): 467-482, 2023 Jun.
Article in English | MEDLINE | ID: mdl-35851824

ABSTRACT

Gambling problems are often associated with homelessness and linked to elevated psychiatric morbidity and homelessness chronicity. We performed a systematic review and meta-analysis on prevalence rates of problem gambling (PG) and gambling disorder (GD) in homeless people. Following PRISMA guidelines, we searched databases Medline, Embase and PsycINFO from inception of databases to 4th may 2021. We included studies reporting prevalence estimates on clinical gambling problems in representative samples of homeless people based on standardized diagnostics. Risk of bias was assessed. A random effects meta-analysis was performed, and subgroup analyses based on methodological characteristics of primary studies were conducted. We identified eight studies from five countries, reporting information on 1938 participants. Prevalence rates of clinically significant PG and GD ranged from 11.3 to 31.3%. There was evidence for substantial heterogeneity with I2 = 86% (95% CI 63-97%). A subgroup of four low risk of bias studies displayed a significantly lower results ranging from 11.3 to 23.6%. Additionally, high rates of subclinical problem gambling were reported (11.6-56.4%). At least one in ten homeless persons experiences clinically significant PG or GD. Social support and health care services for the homeless should address this problem by implementing models for early detection and treatment.


Subject(s)
Gambling , Ill-Housed Persons , Humans , Gambling/psychology , Prevalence , Social Problems
3.
PLoS Med ; 18(8): e1003750, 2021 08.
Article in English | MEDLINE | ID: mdl-34424908

ABSTRACT

BACKGROUND: Homelessness continues to be a pressing public health concern in many countries, and mental disorders in homeless persons contribute to their high rates of morbidity and mortality. Many primary studies have estimated prevalence rates for mental disorders in homeless individuals. We conducted a systematic review and meta-analysis of studies on the prevalence of any mental disorder and major psychiatric diagnoses in clearly defined homeless populations in any high-income country. METHODS AND FINDINGS: We systematically searched for observational studies that estimated prevalence rates of mental disorders in samples of homeless individuals, using Medline, Embase, PsycInfo, and Google Scholar. We updated a previous systematic review and meta-analysis conducted in 2007, and searched until 1 April 2021. Studies were included if they sampled exclusively homeless persons, diagnosed mental disorders by standardized criteria using validated methods, provided point or up to 12-month prevalence rates, and were conducted in high-income countries. We identified 39 publications with a total of 8,049 participants. Study quality was assessed using the JBI critical appraisal tool for prevalence studies and a risk of bias tool. Random effects meta-analyses of prevalence rates were conducted, and heterogeneity was assessed by meta-regression analyses. The mean prevalence of any current mental disorder was estimated at 76.2% (95% CI 64.0% to 86.6%). The most common diagnostic categories were alcohol use disorders, at 36.7% (95% CI 27.7% to 46.2%), and drug use disorders, at 21.7% (95% CI 13.1% to 31.7%), followed by schizophrenia spectrum disorders (12.4% [95% CI 9.5% to 15.7%]) and major depression (12.6% [95% CI 8.0% to 18.2%]). We found substantial heterogeneity in prevalence rates between studies, which was partially explained by sampling method, study location, and the sex distribution of participants. Limitations included lack of information on certain subpopulations (e.g., women and immigrants) and unmet healthcare needs. CONCLUSIONS: Public health and policy interventions to improve the health of homeless persons should consider the pattern and extent of psychiatric morbidity. Our findings suggest that the burden of psychiatric morbidity in homeless persons is substantial, and should lead to regular reviews of how healthcare services assess, treat, and follow up homeless people. The high burden of substance use disorders and schizophrenia spectrum disorders need particular attention in service development. This systematic review and meta-analysis has been registered with PROSPERO (CRD42018085216). TRIAL REGISTRATION: PROSPERO CRD42018085216.


Subject(s)
Developed Countries/statistics & numerical data , Ill-Housed Persons/statistics & numerical data , Mental Disorders/epidemiology , Humans , Prevalence , Regression Analysis
4.
BMJ Open ; 14(6): e081082, 2024 Jun 16.
Article in English | MEDLINE | ID: mdl-38885994

ABSTRACT

INTRODUCTION: Due to a change in diagnostic prerequisites and the inclusion of novel diagnostic entities, the implementation of the 11th revision of the International Classification of Diseases (ICD-11) will presumably change prevalence rates of specific mental, behavioural or neurodevelopmental disorders and result in an altered prevalence rate for this grouping overall. This scoping review aims to summarise the characteristics of primary studies examining the prevalence of mental, behavioural or neurodevelopmental disorders based on ICD-11 criteria. The knowledge attained through this review will primarily characterise the methodological approaches of this research field and additionally assist in deciding which psychiatric diagnoses are-given the current literature-most relevant for subsequent systematic reviews and meta-analyses intended to approximate the magnitude of prevalence rates while providing a first glimpse of the range of expected (differences in) prevalence rates in these conditions. METHODS AND ANALYSIS: MEDLINE, Embase, Web of Science and PsycINFO will be searched from 2011 to present without any language filters. This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review guidelines.We will consider (a) cross-sectional and longitudinal studies (b) focusing on the prevalence rates of mental, behavioural or neurodevelopmental disorders (c) using ICD-11 criteria for inclusion. The omission of (a) case numbers and sample size, (b) study period and period of data collection or (c) diagnostic procedures on full-text level is considered an exclusion criterion.This screening will be conducted by two reviewers independently from one another and a third reviewer will be consulted with disagreements. Data extraction and synthesis will focus on outlining methodological aspects. ETHICS AND DISSEMINATION: We intend to publish our review in a scientific journal. As the primary data are publicly available, we do not require research ethics approval.


Subject(s)
International Classification of Diseases , Mental Disorders , Neurodevelopmental Disorders , Humans , Neurodevelopmental Disorders/epidemiology , Neurodevelopmental Disorders/diagnosis , Prevalence , Mental Disorders/epidemiology , Mental Disorders/diagnosis , Research Design
5.
Front Artif Intell ; 6: 1060879, 2023.
Article in English | MEDLINE | ID: mdl-37469932

ABSTRACT

Introduction: The Cancer Field Effect describes an area of pre-cancerous cells that results from continued exposure to carcinogens. Cells in the cancer field can easily develop into cancer. Removal of the main tumor mass might leave the cancer field behind, increasing risk of recurrence. Methods: The model we propose for the cancer field effect is a hybrid cellular automaton (CA), which includes a multi-layer perceptron (MLP) to compute the effects of the carcinogens on the gene expression of the genes related to cancer development. We use carcinogen interactions that are typically associated with smoking and alcohol consumption and their effect on cancer fields of the tongue. Results: Using simulations we support the understanding that tobacco smoking is a potent carcinogen, which can be reinforced by alcohol consumption. The effect of alcohol alone is significantly less than the effect of tobacco. We further observe that pairing tumor excision with field removal delays recurrence compared to tumor excision alone. We track cell lineages and find that, in most cases, a polyclonal field develops, where the number of distinct cell lineages decreases over time as some lineages become dominant over others. Finally, we find tumor masses rarely form via monoclonal origin.

6.
BJPsych Open ; 9(4): e118, 2023 Jun 29.
Article in English | MEDLINE | ID: mdl-37381912

ABSTRACT

BACKGROUND: Homeless patients in psychiatric hospitals are a scarcely studied and there is lack of knowledge about factors associated with homelessness and in-patient treatment. AIMS: To determine the change over time in the number of homeless psychiatric in-patients and to examine factors associated with homelessness. METHOD: Retrospective data analysis of 1205 selected electronic patient files on psychiatric in-patient treatment in a university psychiatric hospital in Berlin, Germany. The rate of patients experiencing homelessness over a 13-year period (2008-2021) and the sociodemographic and clinical factors associated with homelessness are analysed over time. RESULTS: Our study revealed a 15.1% increase in the rate of homeless psychiatric in-patients over the 13-year period. Of the whole sample, 69.3% people lived in secure private housing, 15.5% were homeless and 15.1.% were housed in sociotherapeutic facilities. Homelessness was significantly associated with being male (OR = 1.76 (95% CI 1.12-2.76), born outside of Germany (OR = 2.22, 95% CI 1.47-3.34), lack of out-patient treatment (OR = 5.19, 95% CI 3.35-7.63), psychotic disorders (OR = 2.46, 95% CI 1.16-5.18), reaction to severe stress (OR = 4.19, 95% CI 1.71-10.24), personality disorders (OR = 4.98, 95% CI 1.92-12.91), drug dependency (OR = 3.47, 95% CI 1.5-8.0) and alcohol dependency (OR = 3.57, 95% CI 1.67-7.62). CONCLUSIONS: The psychiatric care system is facing an increasing number of patients in precarious social situations. This should be considered in resource allocation planning in healthcare. Individual solutions for aftercare, along with supported housing, could counteract this trend.

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