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California State University, San Bernardino

2023

Barriers

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Full-Text Articles in Social Work

Understanding Victims Of Human Trafficking: Identifying Macro And Micro-Level Mental Health Implications, Abbigail Pereyra May 2023

Understanding Victims Of Human Trafficking: Identifying Macro And Micro-Level Mental Health Implications, Abbigail Pereyra

Electronic Theses, Projects, and Dissertations

This study seeks to understand the mental health implications for adolescent victims of human traffic. This will be explored on both a micro and macro-level through the perspective of mental health professionals who have experience working with this unique population. It is important to better understand the multi-faceted impact of service delivery and barriers which victims of human trafficking often face. Equally important is how services and resources can be tailored to meet the needs of this population. This exploratory study utilized qualitative methods for data collection. Data was collected by facilitating interviews and a focus group with mental health …


How Language, Healthcare Insurance Status, Stigma, Age, And Educational Attainment Influenced The Utilization Of Mental Health Services Among The Latino Male Population, Esmeralda Solis, Annika Coe May 2023

How Language, Healthcare Insurance Status, Stigma, Age, And Educational Attainment Influenced The Utilization Of Mental Health Services Among The Latino Male Population, Esmeralda Solis, Annika Coe

Electronic Theses, Projects, and Dissertations

Latinx individuals comprise the largest ethnic minority group in the US but are the least likely to use mental health treatments despite experiencing increased mental health difficulties. This study conducted a secondary data analysis of the 2020 and 2021 California Health Interview Survey (CHIS) by UCLA’s Center for Health Policy Research. This study tested whether mental health service use among Latino males could be predicted based on language, healthcare insurance status, stigma, age, and educational attainment. The logistic regression analysis results explained that of the predictor variables, two, age and healthcare insurance status, were statistically significant. Our research aims to …