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Role‐play is often used as a pedagogical technique by counsellor educators to help counsellors‐in‐training (CITs) learn and practise counselling skills. This study used qualitative content analysis to assess the effectiveness of Chat Generative Pre‐Trained Transformer (ChatGPT), an artificial intelligence (AI) chatbot, in simulating client role‐play to facilitate practising counselling skills. The author used 10 case vignettes to conduct a simulated role‐play where ChatGPT was asked to simulate the client and author as counsellor. The results indicated that ChatGPT demonstrated authenticity, consistency, appropriate emotional expression, cultural sensitivity, empathy and self‐awareness while portraying the client. However, at times, ChatGPT's responses to the counsellor's questions appeared overly idealised, lacking the authenticity typically observed in real clients. Furthermore, ChatGPT, as a simulated client, lacked non‐verbal cues, limiting the overall experience of counselling skill practice. Recommendations for CITs and future research are discussed. [ABSTRACT FROM AUTHOR]

Objective Background Method Results Conclusion Implications This study examined family dynamics that are common in families experiencing elder family financial exploitation (EFFE) using an innovative analytical protocol, qualitative genogram analysis.EFFE is a form of elder abuse that affects many older adults and their families. Individual factors associated with EFFE have been examined, but what is missing is a greater focus on the complex family dynamics that contribute to this violation of older family members.Using qualitative genogram analysis (QGA), a three‐step analytical protocol using family systems theory as a foundation, this study identified key relationship patterns commonly found in families where exploitation had occurred. Family genograms generated from 20 interviewees representing 20 families that reportedly experienced EFFE were used to identify common family dynamic themes.Using QGA, we identified four relational dynamic themes across families: distance and closeness, triangulation, power and dominance, and partner influence.These themes illustrate that families experiencing EFFE have several similar relational dynamics, which may have contributed to creating contexts that made older family members more vulnerable to financial exploitation.The findings of this study provide important indicators for practitioners (e.g., family therapists, family life educators, family attorneys) and policymakers in supporting older family members in making better financial decisions later in life. [ABSTRACT FROM AUTHOR]

Background Method Findings Conclusion Psychoeducation is an important part of mental health services offered by counsellors. This study used qualitative content analysis to explore ChatGPT, a generative artificial intelligence (AI) tool, as a resource for psychoeducation in the context of mental health.Researchers created carefully crafted prompts based on common psychoeducational themes provided to clients, covering seven critical areas: depression, anxiety, general health, substance abuse, religious/spiritual issues, lifestyle, routine health habits and interpersonal matters. A coding manual was developed encompassing six criteria to assess the quality of psychoeducational responses of ChatGPT: accuracy, clarity, relevance, empathy, engagement and ethical considerations.The reviewers assessed ChatGPT's responses to 21 psychoeducational prompts as accurate, clear and relevant, with an empathic tone in responses to emotionally challenging queries. ChatGPT engages users by offering actionable steps and suggestions. The tool consistently demonstrated ethical considerations by advising users to consult qualified professionals when necessary. The findings suggested ChatGPT's potential as a reliable source of psychoeducation, particularly for individuals with very limited access to mental health resources.This research underscores ChatGPT's potential as a valuable psychoeducational resource for mental health concerns while emphasising the need for ongoing assessment and user feedback to address its limitations and ensure responsible practice in the dynamic field of AI‐powered mental health support. Future studies should explore user experiences and incorporate diverse perspectives to further enhance our understanding of ChatGPT's utility in real‐world mental health contexts. [ABSTRACT FROM AUTHOR]

This study used a correlational research design to explore the relationship between secondary traumatic stress, counsellor professional identity and career factors, including work setting and amount of counselling experience, among counsellor practitioners. A sample of 1,218 counsellors completed an online survey including the Secondary Traumatic Stress Scale (STSS), Professional Identity Scale in Counseling and career factors. Career factors included context of work environments including years of experience, licence status, type of practice and work setting. Multiple regression analysis with forward selection demonstrated that, out of all the variables, professional identity emerged as the best predictor of secondary traumatic stress. One‐way ANOVA showed significant group differences in the level of counsellors' secondary traumatic stress based on work setting, level of experience, type of practice and gender. Discussion explores how career and personal factors impact counsellor experiences of professional identity and secondary trauma in mental health settings. [ABSTRACT FROM AUTHOR]

The current study examined how personal and career factors impact professional quality of life for mental health professionals who are immigrants in the United States (n = 108). Professional quality of life was measured with constructs of compassion satisfaction, compassion fatigue, and burnout. Researchers explored which personal and career factors best predicted compassion satisfaction and compassion fatigue related to work environments in mental health using correlational analysis. Demands of immigration and frequent experiences of discrimination significantly predicted high compassion fatigue and low compassion satisfaction. Findings and implications explore career wellness and longevity for mental health professionals who are immigrants. [ABSTRACT FROM AUTHOR]

Mental health professionals who identify as immigrants encounter personal and professional barriers that can impact overall wellbeing. The current study conducted a survey of 108 licensed mental health professionals who identify as immigrants practicing in the United States. The survey included demographics as well as assessments of burnout, social support, and migratory grief and loss. The results of this study highlighted that a combination of higher migratory grief and lower perceived social support significantly predicted higher levels of burnout in mental health professionals. Implications for mental health programs, supervisors, and mentors and suggestions for future research are provided. [ABSTRACT FROM AUTHOR]