Objective: This scoping review aims to characterize what is known about transgender and gender diverse (TGD) individuals in emergency psychiatric settings and identify what gaps persist in this literature.
Methods: A search of 4 electronic databases (PubMed, Web of Science, GenderWatch, and PsycINFO) was used for data collection. Included were studies that looked at TGD individuals presenting to a psychiatric emergency department (ED) or ED with a primary mental health concern. Study screening progress was documented in a Preferred Reporting Items for Systematic reviews and Meta-Analyses flow chart. A total of 232 titles and abstracts were screened, 38 full texts were evaluated for eligibility, and 10 studies were included.
Results: The studies reviewed identified mental health vulnerabilities unique to the TGD population, including service denial in health care settings, gender dysphoria, increased rates of non-suicidal self-injury, and in some studies an increase in suicidality. Societal inequities, including the risk of discrimination and residential instability, were also revealed. A subset of the studies identified best practices in caring for this population, including the use of non-judgmental, affirmative, and inclusive language, and on a structural level creating emergency environments that are confidential, inclusive, and therapeutic for these individuals.
Conclusions: There is limited information on TGD individuals in emergency psychiatric settings, and thus it is difficult to form strong conclusions. However, the current evidence available suggests possible inequities in this population. Three major themes with regards to TGD individuals in emergency psychiatric settings were identified: mental health vulnerabilities, societal inequities, and best practices in caring for this population. Overall, there is a scarcity of literature in this field, and further research on the experiences of this population is needed to inform clinical practice.
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http://dx.doi.org/10.1002/emp2.13018 | DOI Listing |
Int J Clin Health Psychol
January 2025
Département de Psychologie, Université de Montréal, Montréal, Canada.
The Sexual Abuse History Questionnaire (SAHQ), a widely used screening tool for childhood sexual abuse (CSA) and adolescent/adult sexual assault (AASA) experiences, has limited examination of its psychometric properties in diverse populations. Our study assessed the SAHQ's psychometric properties (i.e.
View Article and Find Full Text PDFPrevious studies have shown that perceptual performance can be modulated at specific frequencies phase-locked to self-paced motor actions, but findings have been inconsistent. To investigate this effect at the population level, we tested 50 participants who performed a self-paced button press followed by a threshold-level detection task, using both fixed- and random-effects analyses. Contrary to expectations, the aggregated data showed no significant action-related modulation.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Institute for Development, Research, Advocacy, and Applied Care (IDRAAC), Beirut, Lebanon.
Objective: This study examines the national prevalence of mental health disorders and their associated factors in Lebanon, specifically in the aftermath of the 2020 events, including the catastrophic events of Beirut blast and the concurrent financial meltdown amid the global pandemic.
Methods: Conducted between July and September 2022, the study interviewed a nationally representative sample of 1,000 Lebanese via telephone, using the Computer Assisted Telephone Interview (CATI) system. Gender-specific bivariate and multivariate models were generated for probable posttraumatic stress disorder (PTSD), depression, and anxiety.
BMC Psychiatry
January 2025
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.
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