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WHAT ARE THE BARRIERS TO SEEKING PSYCHOTHERAPY SERVICES ACROSS DIFFERENT RACIAL AND ETHNIC GROUPS?
Get PDFThis study explored barriers to seeking psychotherapy services across racial and ethnic groups among adults of 18 years of age or older (2) any individual who has considered, sought, or received mental health services (3) residing in Southern California. The surveys consisted of questions from the Barriers to Mental Health Services Scale Revised (BMHSS-R) sub-scales; Help Seeking, Stigma, Knowledge and Fear of Psychotherapy, Belief about Inability to Find a Psychotherapist, and Belief that Depressive Symptoms are Normal. It was hypothesized that Latino individuals face greater barriers when seeking psychotherapy services as compared to other racial groups. This study consisted of a sample size of Hispanic or Latino individuals (N=55).
Significant findings through the BMHSS-R subscale questions were that participants expressed moderate levels of seeking help due to feelings of difficulty in seeking mental health services, and high levels of feelings of seeing a psychotherapist as a sign of weakness. The study found that participants were moderately prone to normalizing feelings of sadness and had beliefs that feeling sad for circumstances of their life was normal. We concluded that participants had average responses on questions regarding knowledge of psychotherapy and more agreed that they were unfamiliar with reasons people receive psychotherapy services. Social workers must educate the public about mental health, advocate for accessible psychotherapy treatment, and create resolutions
Frances Grice and Bonnie Johnson with others
No full textGroup portrait of (back, left to right) Luvenia Beckley, Walter Hawkins, two unidentified people, Denise Stegall and (front, left to right) Frances Grice Carolyn Sweeney, Betty Dean Anderson, and Bonnie Johnson (color photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1234/thumbnail.jp
EDUCATIONAL OUTCOMES FOR YOUTH THAT PARTICIPATED IN EXTENDED FOSTER CARE: A SYSTEMATIC REVIEW
Get PDFBackground: Transitioning to adulthood poses significant obstacles for foster youth adults, who encounter disproportionately elevated rates of homelessness, school underperformance, unemployment, and mental health concerns in comparison to their peers. Extended Foster Care (EFC) programs seek to tackle these difficulties by offering assistance in housing, employment, and education. However, there have been few systematic efforts to review the effectiveness of the EFC program. Objective: The purpose of this systematic review was to identify, evaluate, and synthesize the empirical evidence on the educational outcomes of foster youth who have participated in EFC. Methods: This review was conducted during the period November 2023 until December 2023 utilizing two electronic databases: CSUSB OneSearch and Google Scholar. The following keywords were used: (1) “Foster care” or “Former foster youth” or “Extended Foster Care,” (2) “aging out” or “impact of Extended Foster Care,” and (3) “Education” or “Educational Attainment.” The reference lists of shortlisted articles were also reviewed to identify additional articles. All searches were limited to English-language publications with full-text availability. Articles included in this review were published between 2013 and 2023. The participants in the study included young adults who qualified for EFC. Studies implementing quantitative research methodologies were included. Results: Six articles that evaluated the effectiveness of EFC on foster youth’s educational outcomes were identified. Findings from these studies indicate that EFC has a beneficial impact on educational outcomes, namely by significantly boosting the rates of college enrollment among those who were previously in foster care. Although the EFC program has a beneficial effect on college enrollment, the long-lasting effects on persistence and degree completion are limited. Conclusions: Given the benefits of EFC in educational outcomes, social workers can consider more proactively pushing for foster youth to receive EFC.
Keywords: Foster care; Former foster youth; Extended Foster Care; Aging out; Impact of Extended Foster Care
A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING
Get PDFIn today’s age of streaming services, the effectiveness and precision of recommendation systems are crucial in improving user satisfaction. This project introduces the Smart Hybrid Enhanced Recommendation and Personalization Algorithm (SHERPA) a cutting-edge machine learning approach aimed at transforming how movie suggestions are made. By combining Term Frequency Inverse Document Frequency (TF-IDF) for content based filtering and Alternating Squares (ALS) with Weighted Regularization for filtering SHERPA offers a sophisticated method for delivering tailored recommendations.
The algorithm underwent evaluation using a dataset that included over 50 million ratings from 480,000 Netflix users encompassing 17,000 movie titles. The performance of SHERPA was meticulously compared to traditional hybrid models demonstrating a 70% enhancement in prediction accuracy based on Root Mean Square Error (RMSE) metrics during training, testing and validation phases.
These findings highlight SHERPAs capability to understand and cater to users’ subtle preferences representing an advancement in personalized recommendation systems
STRESS AND HELP-SEEKING IN FARMWORKERS IN THE COACHELLA VALLEY
Get PDFCalifornia farmworkers are a vulnerable population who face unique stressors that may increase their risk for mental health problems. The study’s purpose is: (1) to quantitatively investigate the relationship between stress and help-seeking attitudes among Coachella Valley farmworkers and (2) to qualitatively explore the factors affecting the utilization of mental health services. Data came from 28 participants recruited through the snowball sampling method. Quantitative data from the Migrant Farmworker Stress Inventory (MFWSI) and the Mental Health Seeking Attitudes Scale (MHSAS) suggests no relationship between help-seeking attitudes and stress levels. Qualitative data analysis revealed themes that reflected cultural views. Results show lack of knowledge and health insurance are the two primary themes that prevent people from seeking mental health services. Farmworkers have suggested that services could be made more affordable and accessible. By leveraging this information, professionals can offer more effective mental health services that can help improve farmworker well-being
GENDER DYSPHORIA IN ADOLESCENCE AND THE MODELS OF CARE: A SYSTEMATIC LITERATURE REVIEW
Get PDFThis systematic literature review examines and compares the efficacy of gender-affirming care and mixed-method approaches in treating adolescents with gender dysphoria. Through a detailed analysis of existing empirical studies, the research aims to identify optimal strategies that support the mental health and well-being of adolescents who are exhibiting criteria of gender dysphoria. The findings suggest a nuanced landscape where gender-affirming and mixed-method care models offer valuable benefits, highlighting the importance of individualized and flexible treatment approaches. This work contributes to the ongoing discourse on adolescent mental health care, advocating for policies and practices that prioritize the needs of this population, thereby encouraging a more inclusive and supportive healthcare environment
STUDENTS OF HIGHER EDUCATION RECEIVING SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM AND ITS IMPACT ON MENTAL HEALTH
Get PDFThe focus of this research study was the impact of Supplemental Nutrition Assistance Program (SNAP) on the mental health, specifically anxiety and depression, of students pursuing higher education. The study analyzed if food security from receiving SNAP benefits relieved mental illnesses for students pursuing higher education. This study utilized a post-positivist paradigm. The data was obtained through qualitative methods, including 14 audio interviews and verbal observations of current undergraduate and graduate students from Southern California. At the time that the research interviews were conducted, the students participated in the student and discussed their experiences of dealing with mental health symptoms due to food insecurity and the impact that SNAP benefits had on it. The research participants answers were the coded for themes and then categorized. The study’s results concluded that mental disorder symptoms negatively affect students school Performance, CalFresh benefits support mental health, and there is social support for CalFresh awareness. This research study contributes to the social work field on a micro and macro level. At the micro level, this study allows social workers to better understand the significance of SNAP in alleviating hunger for college students and how receiving those SNAP benefits affects their mental health. At the macro level, this study has the potential to persuade social workers to lobby and advocate for policies and legislations that will address food insecurity among college students and increase student eligibility for and access to SNAP benefits
PREDICTING HOSPITALIZATION USING ARTIFICIAL INTELLIGENCE
No full textEmergency rooms in hospitals are usually affected by long wait times and inefficient allocation of resources [1]. In this study, we will be exploring the machine learning potential for improving the patient flow and allocation of resources in emergency rooms that are affected by overcrowding. We developed and evaluated three machine learning models: Naïve Bayes (NB), Support Vector Machine (SVM), and Random Forest (RF) to predict hospital admission for patients in the emergency room. All three models are trained on a dataset of 1267 patient records with features like age, gender, and vitals like heart rate, body temperature, blood pressure, and other clinical features. By leveraging machine learning, the support vector machine achieved the highest accuracy of 80.3%, random forest by 75.9%, and multinomial naive bayes by 74.4%. Through exploratory data analysis, we got to know the important features that are helping the models predict better. With the help of this model, it will be beneficial to both hospitals and patients. Patients experiencing pain or injury can receive faster treatment, potentially reducing complications. Hospitals can efficiently allocate resources to high-risk patients and potentially alleviate overcrowding, ultimately leading to better quality care overall
Oce B. Culberson in taxi uniform
No full textPortrait of Oce B. Culberson, Amina Carter\u27s father, in taxi uniform (black-and-white photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1163/thumbnail.jp
THE DISPROPORTIONATE IMPACTS OF CERTAIN FACTORS THAT DIFFERENTIATE THE AMOUNT OF MENTAL HEALTH REFERRALS OF SCHOOL A COMPARED TO SCHOOL B
Get PDFThis study explores the relationship between a variety of factors the school of attendance for two schools in the Inland Empire. This research project sought to assess if there are differing rates of exposure to parental substance use, geographical location, diagnosis of anxiety, diagnosis of depression, and exposure to traumatic events based on the high school of attendance. Secondary data was acquired from a school district in the Inland Empire. Fifty assessments from school A and fifty from school B were used; a total of 100 adolescent assessments were used. The adolescent assessment explores the location of living, questions regarding adverse childhood experiences, exposure to parental substance use, and diagnoses. The assessments were used to gather information to provide the necessities of a mental health service from this school district. A bivariate analysis was used to determine if there were statistically different rates of diagnosis and exposure to other risk factors between the two high schools. The factors that demonstrated a significantly higher rate of exposure to parental substance use, the amount of depression referrals, traumatic events in School A. School B shows a higher rate of anxiety referrals. The findings demonstrate that each school may require different types of social services, and potentially that demographic factors differing between the two schools (specifically socioeconomic status) may impact these factors