Journal of evidence-based social work (2019)最新文献

{"title":"African American OST Providers, Parents, and Youth Experiences in Summer Programs: Engaging High School Youth.","authors":"Megan Lee, June Hopps, Deryl Bailey","doi":"10.1080/26408066.2025.2551639","DOIUrl":"https://doi.org/10.1080/26408066.2025.2551639","url":null,"abstract":"<p><strong>Purpose: </strong>Out-of-school time (OST) programs supplement formal education. However, documentation of the perspectives of minoritized youth experiencing intersectional oppressions from multiple stakeholders is missing from the literature. Therefore, the current study was guided by Critical Race Theory (CRT), and the purpose was to explore high school-aged African American youth, parents, and OST employees' perspectives on the influence of race and income on high school-aged low-income African American youth participation in summer programs.</p><p><strong>Materials and methods: </strong>A mixed methods approach was taken with a focus on counterstorytelling and a classism and discrimination questionnaire. A total of 44 participant surveys and interviews were analyzed using descriptive statistics, constant comparative method, and narrative thematic analysis.</p><p><strong>Results: </strong>A total of eight individual and collective subthemes per group emerged for an overall total of ten themes. The total themes were aligned with the guiding theoretical perspective and existing literature.</p><p><strong>Discussion: </strong>Results indicate that race and income are relevant aspects of youth participation in summer programs. However, while parents and OST employees acknowledged race as a factor influencing program access and inclusivity, youth participants did not explicitly report negative racial impacts. Income, though, was consistently identified by all groups as a significant barrier, affecting participation through affordability and access to resources.</p><p><strong>Conclusion: </strong>This study broadens OST research by incorporating multiple perspectives and applying CRT as both a framework and methodology, including the use of counterstorytelling. The findings highlight ongoing systemic barriers that limit access to quality programming for these youth, rooted in historical and societal exclusion.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-21"},"PeriodicalIF":1.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in Systematic Literature Reviews: Social Work Ethics, Application, and Feasibility.","authors":"Robert Lucio, Amy Harris, Johanna Creswell Báez, Michael Campbell, Lauren A Ricciardelli","doi":"10.1080/26408066.2025.2548853","DOIUrl":"https://doi.org/10.1080/26408066.2025.2548853","url":null,"abstract":"<p><strong>Purpose: </strong>This study explores the alignment between themes identified by Artificial Intelligence (AI)-powered tools and those from a traditional, manual scoping review, focusing on generative AI's role in streamlining time-intensive research processes.</p><p><strong>Materials and methods: </strong>Thematic findings from a human-driven scoping review on peer support specialists in medical settings for opioid use disorder (OUD) were compared with outputs from NotebookLM, UTVERSE, and Gemini. Fifteen peer-reviewed articles were uploaded to each AI tool, and a standardized prompt directed the generative AI to identify themes using only the provided articles, which were then compared to the human-coded findings.</p><p><strong>Results: </strong>The AI models identified between 53% and 80% of the themes found in the original manual analysis. While AI tools identified novel themes that could broaden the scope of analysis, they also generated inaccurate or misleading themes and overlooked others entirely.</p><p><strong>Discussion: </strong>The variability in generative AI performance highlights its potential and limitations in thematic analysis. AI identified additional themes and misinterpreted or missed others. Human expert review remains necessary to validate the accuracy and relevance of generative AI, while addressing ethical considerations in alignment with the values of the social work profession.</p><p><strong>Conclusion: </strong>A hybrid approach that combines generative AI with expert review has the potential to support current manual research approaches and establish a robust methodology. Continued evaluation, addressing limitations, and establishing best practices for human-AI collaboration and transparent reporting are crucial for the social work research field.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-15"},"PeriodicalIF":1.4,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Tingle: Exploring Autonomous Sensory Meridian Response (ASMR) Role in Mindfulness and Relaxation Among Hong Kong University Students.","authors":"Kai Yan Chung, Kitty Yuen-Han Mo","doi":"10.1080/26408066.2025.2547220","DOIUrl":"https://doi.org/10.1080/26408066.2025.2547220","url":null,"abstract":"<p><strong>Purpose: </strong>This study investigated the impact of Autonomous Sensory Meridian Response (ASMR) videos on mindfulness among university students in Hong Kong. The research aimed to assess whether exposure to ASMR videos could enhance mindfulness levels in this population.</p><p><strong>Materials and methods: </strong>A quasi-experimental design was employed, with 20 participants aged 20 to 24 selected through convenient sampling. Participants were assigned to either an experimental group exposed to ASMR videos or a control group. Pre-test and post-test questionnaires were administered to measure mindfulness levels.</p><p><strong>Results: </strong>The results revealed a significant increase in mindfulness following exposure to ASMR videos. The respondents had a positive experience of the ASMR video. The mindfulness state of the respondents gradually increased during the experiment.</p><p><strong>Discussion: </strong>These findings highlighted the potential of further investigation of ASMR videos in promoting mental well-being among university students.This study investigated the impact of autonomous sensory meridian response (ASMR) videos on mindfulness among university students in Hong Kong. The research aimed to assess whether exposure to ASMR videos could enhance mindfulness levels in this population. A quasi-experimental design was employed, with 20 participants aged 20-24 selected through convenient sampling. Participants were assigned to either an experimental group exposed to ASMR videos or a control group. Pretest and posttest questionnaires were administered to measure mindfulness levels. The results revealed a significant increase in mindfulness following exposure to ASMR videos. These findings highlighted the potential of further investigation of ASMR videos in promoting mental well-being among university students.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-12"},"PeriodicalIF":1.4,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Descriptive Study of Perceived Physical Safety Among Service Providers in the Department of Veterans Affairs Homeless Programs.","authors":"Amanda Edwards-Stewart, Amanda Joy Anderson, Jack Tsai","doi":"10.1080/26408066.2025.2547981","DOIUrl":"https://doi.org/10.1080/26408066.2025.2547981","url":null,"abstract":"<p><strong>Purpose: </strong>Service providers working with homeless populations frequently experience physical safety incidents in their jobs, but little is known about the rate of physical safety events among health and social service providers, in general, and in those serving homeless populations specifically.</p><p><strong>Materials and methods: </strong>The current study involved a cross-sectional survey of providers in Department of Veterans Affairs (VA) Homeless Programs about any work experience that threatened their physical safety and the consequences of such events. A total of 1,273 multidisciplinary service providers completed an anonymous online survey regarding their safety at work.</p><p><strong>Results: </strong>Sixty-one percent of respondents reported experiencing a physical safety event at work, and 54% (<i>n</i> = 689) provided narrative description of their physical safety event in a free-text survey question. A binary logistic regression found that those who experienced a physical safety event compared to those who did not were significantly more likely to report that they felt their job was less safe, which they had less organizational support, and tended to report lower job satisfaction, but there was mixed significance in symptoms of burnout. Results from the qualitative analysis of free-text responses supported these findings of lack of safety and leadership support with increased risk tolerance.</p><p><strong>Discussion: </strong>Many VA service providers working with homelessness have experienced a physical safety event on the job.</p><p><strong>Conclusion: </strong>Organizational support may mitigate physical safety events for social workers serving in homeless and other community-based organizations serving homeless individuals.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-16"},"PeriodicalIF":1.4,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"trauma-Informed PRACTICES in SCHOOLS: DISTRICT LEVEL CHANGE EFFORTS and IMPLEMENTATION OUTCOMES.","authors":"Travis Hales, Samantha P Koury, Susan A Green, Ineke Way","doi":"10.1080/26408066.2025.2547221","DOIUrl":"https://doi.org/10.1080/26408066.2025.2547221","url":null,"abstract":"<p><strong>Purpose: </strong>The current study examines the construct validity of Weiner et al. (2017) implementation outcome measures in a school setting, and assesses the impact of building trauma-informed organizational capacity on acceptability, appropriateness, and feasibility of adopting and implementing trauma-informed practices in schools.</p><p><strong>Materials and method: </strong>The validity of the implementation outcome measures were assessed using confirmatory factor analysis (CFA). Then, the implementation outcome measures were used in pretest posttest fashion to assess the effectiveness of organizational capacity-building in schools. While identifiers were requested from all participants, only a small proportion of responses could be matched across the two timepoints. Dependent samples t-tests were conducted comparing matched participant time one and two scores, and independent t-tests were conducted within each timepoint comparing matched and unmatched participants.</p><p><strong>Results: </strong>The results of the CFA support the construct validity of the implementation outcome measures within school settings. Dependent samples t-tests of matched participants demonstrated increases in the feasibility of implementing trauma-informed practices, while results of the independent t-tests demonstrated that matched participants reported higher mean scores of appropriateness and acceptability at posttest.</p><p><strong>Discussion: </strong>The three implementation outcome measures may be used in school settings to monitor trauma-informed change processes. Participation in the change process may enhance perceived appropriateness, acceptance, and the feasibility of implementing trauma-informed practices in schools.</p><p><strong>Conclusion: </strong>This study contributes to the evidence-base of adopting and implementing trauma-informed practices in schools. There is a need for continued assessment of change processes geared toward building trauma-informed school systems.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-19"},"PeriodicalIF":1.4,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social Work in the Age of Artificial Intelligence: A rights-Based Framework for evidence-Based Practice Through Social Psychology, Group Dynamics, and Institutional Analysis.","authors":"Nafees Alam","doi":"10.1080/26408066.2025.2547219","DOIUrl":"https://doi.org/10.1080/26408066.2025.2547219","url":null,"abstract":"<p><strong>Purpose: </strong>This theoretical analysis aims to develop a comprehensive rights-based framework for navigating artificial intelligence integration in social work practice while addressing the ethical implications of AI deployment across micro, meso, and macro practice levels.</p><p><strong>Materials and methods: </strong>The study synthesized interdisciplinary research drawing on social psychology, group dynamics theory, and institutional analysis. The conceptual framework integrated the I-C-E (Ingroup Identification, Cohesion, Entitativity) model with socioecological systems theory. Analysis was conducted on existing literature and documented case examples to examine how AI systems mediate interpersonal relationships and construct meaning in social work contexts.</p><p><strong>Results: </strong>The analysis demonstrated that AI systems profoundly impact vulnerable populations by mediating interpersonal relationships and constructing meaning in AI-mediated environments. The developed framework successfully bridged social work theory with interdisciplinary insights to provide evidence-based guidance for AI implementation in social services.</p><p><strong>Discussion: </strong>The proposed framework offers concrete strategies for social work education and provides research methodologies that center community voices. The analysis reveals how AI integration can be guided by evidence-based practice while maintaining focus on vulnerable population needs and democratic governance principles in social services.</p><p><strong>Conclusion: </strong>This work provides evidence-based guidance for practitioners to harness AI's potential while safeguarding social work's core values of human dignity, self-determination, and social justice. The framework includes policy recommendations for democratic governance of AI in social services and establishes a foundation for ethical AI deployment across all levels of social work practice.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-12"},"PeriodicalIF":1.4,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144839262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can a Large Language Model Judge a Child's Statement?: A Comparative Analysis of ChatGPT and Human Experts in Credibility Assessment.","authors":"Zeki Karataş","doi":"10.1080/26408066.2025.2547211","DOIUrl":"https://doi.org/10.1080/26408066.2025.2547211","url":null,"abstract":"<p><strong>Purpose: </strong>This study investigates the inter-rater reliability between human experts (a forensic psychologist and a social worker) and a large language model (LLM) in the assessment of child sexual abuse statements. The research aims to explore the potential, limitations, and consistency of this class of AI as an evaluation tool within the framework of Criteria-Based Content Analysis (CBCA), a widely used method for assessing statement credibility.</p><p><strong>Materials and methods: </strong>Sixty-five anonymized transcripts of forensic interviews with child sexual abuse victims (<i>N</i> = 65) were independently evaluated by three raters: a forensic psychologist, a social worker, and a large language model (ChatGPT, GPT-4o Plus). Each statement was coded using the 19-item CBCA framework. Inter-rater reliability was analyzed using Intraclass Correlation Coefficient (ICC), Cohen's Kappa (κ), and other agreement statistics to compare the judgments between the human-human pairing and the human-AI pairings.</p><p><strong>Results: </strong>A high degree of inter-rater reliability was found between the two human experts, with the majority of criteria showing \"good\" to \"excellent\" agreement (15 of 19 criteria with ICC > .75). In stark contrast, a dramatic and significant decrease in reliability was observed when the AI model's evaluations were compared with those of the human experts. The AI demonstrated systematic disagreement on criteria requiring nuanced, contextual judgment, with reliability coefficients frequently falling into \"poor\" or negative ranges (e.g. ICC = -.106 for \"Logical structure\"), indicating its evaluation logic fundamentally differs from expert reasoning.</p><p><strong>Discussion: </strong>The findings reveal a profound gap between the nuanced, contextual reasoning of human experts and the pattern-recognition capabilities of the LLM tested. The study concludes that this type of AI, in its current, prompt-engineered form, cannot reliably replicate expert judgment in the complex task of credibility assessment. While not a viable autonomous evaluator, it may hold potential as a \"cognitive assistant\" to support expert workflows. The assessment of child testimony credibility remains a task that deeply requires professional judgment and appears far beyond the current capabilities of such generative AI models.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-16"},"PeriodicalIF":1.4,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Financial Health is Behavioral Health: Enhancing Integrated Care Practice.","authors":"Jeffrey Anvari-Clark","doi":"10.1080/26408066.2025.2542448","DOIUrl":"https://doi.org/10.1080/26408066.2025.2542448","url":null,"abstract":"<p><strong>Purpose: </strong>This article shows how financial health serves as an integral component of behavioral health beyond only a social determinant. It presents a framework conceptualizing financial health through three dimensions - financial precarity, efficacy, and well-being - and demonstrates how these interact with established behavioral health domains.</p><p><strong>Materials and methods: </strong>The paper integrates several theoretical perspectives with empirical evidence from social work, psychology, and financial therapy literature. It synthesizes research on financial assessment tools and evidence-based interventions that can be integrated into care settings.</p><p><strong>Results: </strong>Evidence demonstrates multidirectional relationships between financial and other behavioral health domains. Whereas financial precarity correlates with worse behavioral health conditions, financial efficacy serves as a protective factor. Intervention research shows that addressing financial concerns directly significantly improves both financial well-being outcomes and other behavioral health indicators, including healthcare engagement and medication adherence.</p><p><strong>Discussion: </strong>Conceptualizing financial health as a behavioral health domain enhances assessment and intervention practices in integrated care settings. This approach enables practitioners to identify and address specific financial behaviors that interact with other health domains, creates opportunities for interprofessional collaboration, and provides strategies for addressing health disparities.</p><p><strong>Conclusion: </strong>By positioning financial health as a type of behavioral health, practitioners can more effectively address complex interrelationships between financial circumstances and health outcomes. This perspective aligns with social work's person-in-environment approach while providing actionable strategies for improving overall well-being through simultaneous attention to financial and other behavioral health concerns.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-28"},"PeriodicalIF":1.4,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144801178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intersectional Predictors of Mental Health Problems Among Black College Students: A Multi-Level Analysis Examining Individual, Institutional, and Societal Level Factors.","authors":"Terrell T Richardson, Dhikrullah Mudathir, Sarafat Hossain, Leah Cheatham","doi":"10.1080/26408066.2025.2543920","DOIUrl":"https://doi.org/10.1080/26408066.2025.2543920","url":null,"abstract":"<p><strong>Purpose: </strong>This study examined the roles of financial hardship indicators, financial stress, encounters with racism, campus belonging, and demographic factors among Black college students, utilizing the Social Determinants of Mental Health (SDoMH) framework to identify factors associated with mental health problems and inform evidence-based interventions.</p><p><strong>Materials and methods: </strong>A cross-sectional analysis was conducted using 2023-2024 Healthy Minds Study data from 8,769 Black college students across 196 institutions. Mental health was assessed using validated instruments (PHQ-9, GAD-7, SCOFF questionnaire) and operationalized as a dichotomous variable indicating clinically significant depression, anxiety, eating disorders, self-injury, or suicidality. Binary logistic regression was used to examine predictors of any mental health problems.</p><p><strong>Results: </strong>Among participants, 54.8% reported mental health problems. Transgender, nonbinary, and queer students had over five times higher odds of mental health problems (OR = 5.89, <i>p</i> < .001), while female students had 39% higher odds compared to males (OR = 1.39, <i>p</i> < .001). Sexual minorities reported higher rates than heterosexual students (OR = 0.41, <i>p</i> < .001). Financial stress (OR = 1.68, <i>p</i> < .001) and racial discrimination experiences (OR = 1.94, <i>p</i> < .001) significantly increased mental health risks. Campus belonging demonstrated protective effects (OR = 0.79, <i>p</i> < .001).</p><p><strong>Discussion: </strong>Findings highlight the complex intersections of identity, discrimination, and socioeconomic factors in shaping mental health among Black college students, emphasizing the need for culturally responsive, intersectional support services.</p><p><strong>Conclusion: </strong>Results underscore the importance of addressing multiple social determinants simultaneously through comprehensive campus interventions targeting financial stress, discrimination, and belonging to promote mental health equity for Black students.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-25"},"PeriodicalIF":1.4,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144796297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Social Workers' Perceptions of Large Language Models in Practice: Resistance to Automation and Prospects for Integration.","authors":"Johanna Creswell Báez, Eunhye Ahn, Aubrey Tamietti, Bryan G Victor, Lauri Goldkind","doi":"10.1080/26408066.2025.2542450","DOIUrl":"https://doi.org/10.1080/26408066.2025.2542450","url":null,"abstract":"<p><strong>Purpose: </strong>This research explores clinical social workers' perceptions of the usefulness of generative artificial intelligence (AI) in clinical practice, with a particular focus on large language models (LLMs).</p><p><strong>Materials and methods: </strong>This qualitative reflexive thematic analysis explored the interviews of 21 clinical social workers and how they experience their work in the context of growing LLM use. Participants shared their perceptions and experiences with LLMs following a collaborative case consultation exercise using ChatGPT and a video demonstration of a client using ChatGPT.</p><p><strong>Results: </strong>Social work practitioners described both benefits and concerns with LLM use in their practice. Two overarching themes emerged: (1) factors that enhanced social workers' perceived usefulness of LLMs in clinical practice, including support for administrative tasks and client engagement, and (2) factors that diminished perceived usefulness, such as concerns about confidentiality, loss of nuance, and limitations in conveying empathy and contextual understanding.</p><p><strong>Discussion: </strong>Practitioners shared that they are using LLMs as idea generators in clinical work, while simultaneously expressing concern about the quality of information and the need for a human‑centered approach. They also noted that their decision to adopt LLMs is shaped by professional ethics and relational values, reflecting a preference for augmentation rather than full automation to preserve therapeutic depth and client wellbeing.</p><p><strong>Conclusion: </strong>Future AI implementation should focus on practitioner training and clear ethical guidelines to support responsible integration of LLMs. Ongoing evaluation will be essential to ensure these tools enhance clinical practice without compromising the therapeutic relationship or core social work values.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-22"},"PeriodicalIF":1.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}