Patterns and Predictors of Psychiatric Emergency Admissions: A 5-Year Multicenter Retrospective Study from Turkey

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This 5-year multicenter retrospective study examined demographic and clinical patterns of 773 adult psychiatric patients admitted via emergency departments in two tertiary hospitals in Kayseri, Türkiye, between January 2015 and December 2020, using electronic health record data and statistical tests including binary logistic regression. Anxiety disorders were the most frequent diagnoses (42%), followed by bipolar disorder and schizophrenia. The logistic regression identified male gender, substance use, night-time ED visits, and admission to addiction-focused services as predictors of discharge against medical advice. The authors present these findings as region-specific “local insights” from a retrospective design and two hospitals, with limited generalizability. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Patterns and Predictors of Psychiatric Emergency Admissions: A 5-Year Multicenter Retrospective Study from Turkey | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Patterns and Predictors of Psychiatric Emergency Admissions: A 5-Year Multicenter Retrospective Study from Turkey Mahmut Fırat Kaynak, İsmail Altıntop, Yalcın Kahya This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8996722/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract Background The global rise in psychiatric emergencies has placed increasing pressure on emergency departments (EDs), yet region-specific data remain scarce. This study aims to examine the demographic and clinical characteristics of adults admitted to psychiatric inpatient care through EDs over a five-year period in a Turkish metropolitan region. Methods A retrospective observational analysis was conducted in two tertiary hospitals in Kayseri, Türkiye, covering psychiatric admissions from January 2015 to December 2020. Sociodemographic and clinical data were retrieved from electronic health records. Statistical analyses included descriptive statistics, chi-square tests, t-tests, ANOVA, and binary logistic regression. Results A total of 773 patients were included. Anxiety disorders (42%) were the most frequent diagnoses, followed by bipolar disorder and schizophrenia. Logistic regression identified male gender, substance use, night-time ED visits, and admission to addiction-focused services as predictors of discharge against medical advice (p < 0.05). Conclusion This study highlights key demographic and clinical trends in psychiatric emergency admissions in Türkiye. The findings underscore the importance of developing targeted ED protocols that address substance-related crises and improve retention in care. Local insights can support national efforts to optimize psychiatric emergency systems. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 26 Apr, 2026 Reviewers agreed at journal 21 Apr, 2026 Reviews received at journal 09 Apr, 2026 Reviewers agreed at journal 24 Mar, 2026 Reviewers invited by journal 19 Mar, 2026 Submission checks completed at journal 12 Mar, 2026 First submitted to journal 11 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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