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OBJECTIVE: To examine the effectiveness of a three-day training programme on knowledge, confidence and fidelity to Motivational Interviewing (MI) delivery in an undergraduate occupational therapy and physiotherapy cohort (n = 25). METHODS: Training outcomes were assessed pre-training, post-training and following a subsequent clinical placement. The Motivational Interviewing Knowledge and Attitudes Test (MIKAT) and an 8-item survey assessed knowledge, attitudes and confidence respectively. MI fidelity was evaluated by a simulated patient interview rated with the Motivational Interviewing Treatment Integrity scale (MITI). Analysis was by one-way repeated measures ANOVA. RESULTS: Self-report measurements indicated increased confidence but no effect on knowledge or attitude. MITI analysis showed superior performance in all four global criteria and an increased frequency of MI adherent behaviours post-training. Positive changes were maintained following clinical placement. MITI summary scores indicated an improvement in question to reflection ratio in line with beginner competency. CONCLUSION(S): Participation in a three-day MI training programme significantly improved student confidence and MI skilfulness. PRACTICE IMPLICATIONS: Where feasible, MI training should be embedded within the curriculum. Further research is needed elucidate the best practices to incorporate teaching this skill set within the curriculum in order to best prepare students to counsel clients in behaviour change in their applied settings.

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts.

BACKGROUND: In the 26 years since it was first introduced in this journal, motivational interviewing (MI) has become confused with various other ideas and approaches, owing in part to its rapid international diffusion. METHODS: Based on confusions that have arisen in publications and presentations regarding MI, the authors compiled a list of 10 concepts and procedures with which MI should not be addled. RESULTS: This article discusses 10 things that MI is not: (1) the transtheoretical model of change; (2) a way of tricking people into doing what you want them to do; (3) a technique; (4) decisional balance; (5) assessment feedback; (6) cognitive-behavior therapy; (7) client-centered therapy; (8) easy to learn; (9) practice as usual; and (10) a panacea. CONCLUSION: Clarity about what does (and does not) constitute MI promotes quality assurance in scientific research, clinical practice, and training.

Introduction: This mixed-methods study evaluates the impact of AI-assisted language learning on Chinese English as a Foreign Language (EFL) students' writing skills and writing motivation. As artificial intelligence (AI) becomes more prevalent in educational settings, understanding its effects on language learning outcomes is crucial. Methods: The study employs a comprehensive approach, combining quantitative and qualitative methods. The quantitative phase utilizes a pre-test and post-test design to assess writing skills. Fifty EFL students, matched for proficiency, are randomly assigned to experimental (AI-assisted instruction via ChatGPT) or control (traditional instruction) groups. Writing samples are evaluated using established scoring rubrics. Concurrently, semi-structured interviews are conducted with a subset of participants to explore writing motivation and experiences with AI-assisted learning. Results: Quantitative analysis reveals significant improvements in both writing skills and motivation among students who received AI-assisted instruction compared to the control group. The experimental group demonstrates enhanced proficiency in various aspects of writing, including organization, coherence, grammar, and vocabulary. Qualitative findings showcase diverse perspectives, ranging from recognition of AI's innovative instructional role and its positive influence on writing skills and motivation to concerns about contextual accuracy and over-reliance. Participants also reflect on the long-term impact and sustainability of AI-assisted instruction, emphasizing the need for ongoing development and adaptation of AI tools. Discussion: The nuanced findings offer a comprehensive understanding of AI's transformative potential in education. These insights have practical implications for practitioners and researchers, emphasizing the benefits, challenges, and the evolving nature of AI's role in language instruction.

Social skills training consists of learning activities utilizing behavioral techniques that enable persons with schizophrenia and other disabling mental disorders to acquire interpersonal disease management and independent living skills for improved functioning in their communities. A large and growing body of research supports the efficacy and effectiveness of social skills training for schizophrenia. When the type and frequency of training is linked to the phase of the disorder, patients can learn and retain a wide variety of social and independent living skills. Generalization of the skills for use in everyday life occurs when patients are provided with opportunities, encouragement, and reinforcement for practicing the skills in relevant situations. Recent advances in skills training include special adaptations and applications for improved generalization of training into the community, short-term stays in psychiatric inpatient units, dually diagnosed substance abusing mentally ill, minority groups, amplifying supported employment, treatment refractory schizophrenia, older adults, overcoming cognitive deficits, and negative symptoms as well as the inclusion of social skills training as part of multidimensional treatment and rehabilitation programs.

BACKGROUND: Patients are safer and receive higher quality care when providers work as a highly effective team. Investment in optimising healthcare teamwork has swelled in the last 10 years. Consequently, evidence regarding the effectiveness for these interventions has also grown rapidly. We provide an updated review concerning the current state of team-training science and practice in acute care settings. METHODS: A PubMed search for review articles examining team-training interventions in acute care settings published between 2000 and 2012 was conducted. Following identification of relevant reviews with searches terminating in 2008 and 2010, PubMed and PSNet were searched for additional primary studies published in 2011 and 2012. Primary outcomes included patient outcomes and quality indices. Secondary outcomes included teamwork behaviours, knowledge and attitudes. RESULTS: Both simulation and classroom-based team-training interventions can improve teamwork processes (eg, communication, coordination and cooperation), and implementation has been associated with improvements in patient safety outcomes. Thirteen studies published between 2011 and 2012 reported statistically significant changes in teamwork behaviours, processes or emergent states and 10 reported significant improvement in clinical care processes or patient outcomes, including mortality and morbidity. Effects were reported across a range of clinical contexts. Larger effect sizes were reported for bundled team-training interventions that included tools and organisational changes to support sustainment and transfer of teamwork competencies into daily practice. CONCLUSIONS: Overall, moderate-to-high-quality evidence suggests team-training can positively impact healthcare team processes and patient outcomes. Additionally, toolkits are available to support intervention development and implementation. Evidence suggests bundled team-training interventions and implementation strategies that embed effective teamwork as a foundation for other improvement efforts may offer greatest impact on patient outcomes.

BACKGROUND: Effective implementation of evidence-based practices (EBPs) remains a significant challenge. Numerous existing models and frameworks identify key factors and processes to facilitate implementation. However, there is a need to better understand how individual models and frameworks are applied in research projects, how they can support the implementation process, and how they might advance implementation science. This systematic review examines and describes the research application of a widely used implementation framework, the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. METHODS: A systematic literature review was performed to identify and evaluate the use of the EPIS framework in implementation efforts. Citation searches in PubMed, Scopus, PsycINFO, ERIC, Web of Science, Social Sciences Index, and Google Scholar databases were undertaken. Data extraction included the objective, language, country, setting, sector, EBP, study design, methodology, level(s) of data collection, unit(s) of analysis, use of EPIS (i.e., purpose), implementation factors and processes, EPIS stages, implementation strategy, implementation outcomes, and overall depth of EPIS use (rated on a 1-5 scale). RESULTS: In total, 762 full-text articles were screened by four reviewers, resulting in inclusion of 67 articles, representing 49 unique research projects. All included projects were conducted in public sector settings. The majority of projects (73%) investigated the implementation of a specific EBP. The majority of projects (90%) examined inner context factors, 57% examined outer context factors, 37% examined innovation factors, and 31% bridging factors (i.e., factors that cross or link the outer system and inner organizational context). On average, projects measured EPIS factors across two of the EPIS phases (M = 2.02), with the most frequent phase being Implementation (73%). On average, the overall depth of EPIS inclusion was moderate (2.8 out of 5). CONCLUSION: This systematic review enumerated multiple settings and ways the EPIS framework has been applied in implementation research projects, and summarized promising characteristics and strengths of the framework, illustrated with examples. Recommendations for future use include more precise operationalization of factors, increased depth and breadth of application, development of aligned measures, and broadening of user networks. Additional resources supporting the operationalization of EPIS are available.

This report summarises the main finding from the Creating and Sustaining Effective Professional Learning Communities (EPLC) project, funded by the Department for Education and Skills (DfES), the General Teaching Council for England (GTCe) and the National College for School Leadership (NCSL) from January 2002 to October 2004.