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Kaul A, Connell-Jones L, Paphitis SA, Oram S. Prevalence and risk of sexual violence victimization among mental health service users: a systematic review and meta-analyses. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1285-1297. [PMID: 38570379 PMCID: PMC11291586 DOI: 10.1007/s00127-024-02656-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 03/07/2024] [Indexed: 04/05/2024]
Abstract
PURPOSE People with mental disorders are more likely to experience sexual violence than the general population, but little is known about the prevalence of sexual violence in people who use psychiatric services. This paper aims to estimate the prevalence and odds of sexual violence victimisation within mental health services by gender and mental health setting (i.e. inpatient, outpatient and mixed settings). METHODS This study is a systematic review and meta-analysis (PROSPERO registration number: CRD4201810019). Three databases (Medline, Embase, PsychINFO) were searched and citation tracking, and reference screening of included studies was conducted. Studies were included if the prevalence and/or risk of sexual violence in psychiatric service users were reported or calculable across the past year or adult lifetime. The methodological quality of included studies was assessed. A random effects meta-analyses was conducted to estimate odds ratios and pooled prevalence estimates of sexual violence in different mental health settings. RESULTS Twenty-six studies were included encompassing 197,194 participants. The meta-analyses revealed high pooled prevalence estimates and increased odds of sexual violence victimisation in male and female psychiatric service users compared to non-psychiatric service users. CONCLUSIONS Mental health practitioners should be trained to respond effectively to disclosures of sexual violence, particularly from these vulnerable groups. Future sexual violence interventions should consider mental health as a treatment outcome.
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Affiliation(s)
- Anjuli Kaul
- Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.
| | - Laura Connell-Jones
- Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Sharli Anne Paphitis
- Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Sian Oram
- Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
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Parsaei M, Arvin A, Taebi M, Seyedmirzaei H, Cattarinussi G, Sambataro F, Pigoni A, Brambilla P, Delvecchio G. Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review. Front Psychiatry 2024; 15:1384828. [PMID: 38577400 PMCID: PMC10991827 DOI: 10.3389/fpsyt.2024.1384828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 03/08/2024] [Indexed: 04/06/2024] Open
Abstract
Background Schizophrenia spectrum disorders (SSD) can be associated with an increased risk of violent behavior (VB), which can harm patients, others, and properties. Prediction of VB could help reduce the SSD burden on patients and healthcare systems. Some recent studies have used machine learning (ML) algorithms to identify SSD patients at risk of VB. In this article, we aimed to review studies that used ML to predict VB in SSD patients and discuss the most successful ML methods and predictors of VB. Methods We performed a systematic search in PubMed, Web of Sciences, Embase, and PsycINFO on September 30, 2023, to identify studies on the application of ML in predicting VB in SSD patients. Results We included 18 studies with data from 11,733 patients diagnosed with SSD. Different ML models demonstrated mixed performance with an area under the receiver operating characteristic curve of 0.56-0.95 and an accuracy of 50.27-90.67% in predicting violence among SSD patients. Our comparative analysis demonstrated a superior performance for the gradient boosting model, compared to other ML models in predicting VB among SSD patients. Various sociodemographic, clinical, metabolic, and neuroimaging features were associated with VB, with age and olanzapine equivalent dose at the time of discharge being the most frequently identified factors. Conclusion ML models demonstrated varied VB prediction performance in SSD patients, with gradient boosting outperforming. Further research is warranted for clinical applications of ML methods in this field.
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Affiliation(s)
- Mohammadamin Parsaei
- Maternal, Fetal & Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Arvin
- Center for Orthopedic Trans-disciplinary Applied Research (COTAR), Tehran University of Medical Sciences, Tehran, Iran
| | - Morvarid Taebi
- Center for Orthopedic Trans-disciplinary Applied Research (COTAR), Tehran University of Medical Sciences, Tehran, Iran
| | - Homa Seyedmirzaei
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy
- Padua Neuroscience Center, University of Padova, Padua, Italy
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy
- Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Alessandro Pigoni
- Social and Affective Neuroscience Group, MoMiLab, Institutions, Markets, Technologies (IMT) School for Advanced Studies Lucca, Lucca, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Paolo Brambilla
- Social and Affective Neuroscience Group, MoMiLab, Institutions, Markets, Technologies (IMT) School for Advanced Studies Lucca, Lucca, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
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Bartolomé-Valenzuela M, Pereda N, Guilera G. [Prevalence of adverse and victimization experiences in adult people with severe mental illness in Barcelona]. GACETA SANITARIA 2023; 37:102314. [PMID: 37348295 DOI: 10.1016/j.gaceta.2023.102314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 06/24/2023]
Abstract
OBJECTIVE To describe the extension of the adverse experiences, including victimization, lived in childhood and adulthood in a sample of people with severe mental illness residing in Barcelona, Spain. METHOD Descriptive, quantitative and cross-sectional study. Adverse and victimization experiences were assessed using 26 items from the Adverse Childhood Experiences Questionnaire (ACE-IQ). Items were included obtain information regarding victimization during adulthood. Seventy-four people with severe mental illness were interviewed (median age: 42.03 years; standard deviation: 9.60). RESULTS All participants reported at least two victimization experiences throughout their lifetime. The most frequent experiences were conventional crimes (87.8%) and victimization by caregivers (86.5%). Before age 18, half of the participants reported having experienced physical violence by their caregivers (52.7%) and almost one out of three reported to have been victim of sexual abuse (32.4%). Women were almost 13 times more likely to experience sexual victimization than men throughout their lifetime (odds ratio: 12.75; 95% confidence interval: 4.19-38.71). CONCLUSIONS Victimization experienced by people with severe mental illness is a widespread problem that has received little attention. The results of this study are consistent with those obtained in previous investigations and underscore the need to translate this knowledge into medical practice into medical practice, considering them in order to develop treatments with a comprehensive approach to mental health.
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Affiliation(s)
- Marina Bartolomé-Valenzuela
- Grupo de Investigación en Victimización Infantil y Adolescente (GReVIA), Departamento de Psicología Clínica y Psicobiología, Facultad de Psicología, Universidad de Barcelona, Barcelona, España
| | - Noemí Pereda
- Grupo de Investigación en Victimización Infantil y Adolescente (GReVIA), Departamento de Psicología Clínica y Psicobiología, Facultad de Psicología, Universidad de Barcelona, Barcelona, España.
| | - Georgina Guilera
- Grupo de Investigación en Victimización Infantil y Adolescente (GReVIA), Departamento de Psicología Social y Psicología Cuantitativa, Facultad de Psicología, Universidad de Barcelona, Barcelona, España
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