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BACKGROUND: Cultural competence education for health professionals aims to ensure all people receive equitable, effective health care, particularly those from culturally and linguistically diverse (CALD) backgrounds. It has emerged as a strategy in high-income English-speaking countries in response to evidence of health disparities, structural inequalities, and poorer quality health care and outcomes among people from minority CALD backgrounds. However there is a paucity of evidence to link cultural competence education with patient, professional and organisational outcomes. To assess efficacy, for this review we developed a four-dimensional conceptual framework comprising educational content, pedagogical approach, structure of the intervention, and participant characteristics to provide consistency in describing and assessing interventions. We use the term 'CALD participants' when referring to minority CALD populations as a whole. When referring to participants in included studies we describe them in terms used by study authors. OBJECTIVES: To assess the effects of cultural competence education interventions for health professionals on patient-related outcomes, health professional outcomes, and healthcare organisation outcomes. SEARCH METHODS: We searched: MEDLINE (OvidSP) (1946 to June 2012); Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library) (June 2012); EMBASE (OvidSP) (1988 to June 2012); CINAHL (EbscoHOST) (1981 to June 2012); PsycINFO (OvidSP) (1806 to June 2012); Proquest Dissertations and Theses database (1861 to October 2011); ERIC (CSA) (1966 to October 2011); LILACS (1982 to March 2012); and Current Contents (OvidSP) (1993 Week 27 to June 2012).Searches in MEDLINE, CENTRAL, PsycINFO, EMBASE, Proquest Dissertations and Theses, ERIC and Current Contents were updated in February 2014. Searches in CINAHL were updated in March 2014.There were no language restrictions. SELECTION CRITERIA: We included randomised controlled trials (RCTs), cluster RCTs, and controlled clinical trials of educational interventions for health professionals working in health settings that aimed to improve: health outcomes of patients/consumers of minority cultural and linguistic backgrounds; knowledge, skills and attitudes of health professionals in delivering culturally competent care; and healthcare organisation performance in culturally competent care. DATA COLLECTION AND ANALYSIS: We used the conceptual framework as the basis for data extraction. Two review authors independently extracted data on interventions, methods, and outcome measures and mapped them against the framework. Additional information was sought from study authors. We present results in narrative and tabular form. MAIN RESULTS: We included five RCTs involving 337 healthcare professionals and 8400 patients; at least 3463 (41%) were from CALD backgrounds. Trials compared the effects of cultural competence training for health professionals, with no training. Three studies were from the USA, one from Canada and one from The Netherlands. They involved health professionals of diverse backgrounds, although most were not from CALD minorities. Cultural background was determined using a validated scale (one study), self-report (two studies) or not reported (two studies). The design effect from clustering meant an effective minimum sample size of 3164 CALD participants. No meta-analyses were performed. The quality of evidence for each outcome was judged to be low.Two trials comparing cultural competence training with no training found no evidence of effect for treatment outcomes, including the proportion of patients with diabetes achieving LDL cholesterol control targets (risk difference (RD) -0.02, 95% CI -0.06 to 0.02; 1 study, USA, 2699 "black" patients, moderate quality), or change in weight loss (standardised mean difference (SMD) 0.07, 95% CI -0.41 to 0.55, 1 study, USA, effective sample size (ESS) 68 patients, low quality).Health behaviour (client concordance with attendance) improved significantly among intervention participants compared with controls (relative risk (RR) 1.53, 95% CI 1.03 to 2.27, 1 study, USA, ESS 28 women, low quality). Involvement in care by "non-Western" patients (described as "mainly Turkish, Moroccan, Cape Verdean and Surinamese patients") with largely "Western" doctors improved in terms of mutual understanding (SMD 0.21, 95% CI 0.00 to 0.42, 1 study, The Netherlands, 109 patients, low quality). Evaluations of care were mixed (three studies). Two studies found no evidence of effect in: proportion of patients reporting satisfaction with consultations (RD 0.14, 95% CI -0.03 to 0.31, 1 study, The Netherlands, 109 patients, low quality); patient scores of physician cultural competency (SMD 0.11 95% CI -0.63 to 0.85, 1 study, USA, ESS 68 "Caucasian" and "non-Causcasian" patients (described as Latino, African American, Asian and other, low quality). Client perceptions of health professionals were significantly higher in the intervention group (SMD 1.60 95% CI 1.05 to 2.15, 1 study, USA, ESS 28 "Black" women, low quality).No study assessed adverse outcomes.There was no evidence of effect on clinician awareness of "racial" differences in quality of care among clients at a USA health centre (RR 1.37, 95% CI 0.97 to 1.94. P = 0.07) with no adjustment for clustering. Included studies did not measure other outcomes of interest. Sensitivity analyses using different values for the Intra-cluster coefficient (ICC) did not substantially alter the magnitude or significance of summary effect sizes.All four domains of the conceptual framework were addressed, suggesting agreement on core components of cultural competence education interventions may be possible. AUTHORS' CONCLUSIONS: Cultural competence continues to be developed as a major strategy to address health inequities. Five studies assessed the effects of cultural competence education for health professionals on patient-related outcomes. There was positive, albeit low-quality evidence, showing improvements in the involvement of CALD patients. Findings either showed support for the educational interventions or no evidence of effect. No studies assessed adverse outcomes. The quality of evidence is insufficient to draw generalisable conclusions, largely due to heterogeneity of the interventions in content, scope, design, duration, implementation and outcomes selected.Further research is required to establish greater methodological rigour and uniformity on core components of education interventions, including how they are described and evaluated. Our conceptual framework provides a basis for establishing consensus to improve reporting and allow assessment across studies and populations. Future studies should measure the patient outcomes used: treatment outcomes; health behaviours; involvement in care and evaluations of care. Studies should also measure the impact of these types of interventions on healthcare organisations, as these are likely to affect uptake and sustainability.

ChatGPT is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, its integration into academic settings raises concerns regarding academic integrity, plagiarism detection, and the potential impact on critical thinking skills. This article presents a study that adopts a thing ethnography approach to understand ChatGPT’s perspective on the challenges and opportunities it represents for higher education. The research explores the potential benefits and limitations of ChatGPT, as well as mitigation strategies for addressing the identified challenges. Findings emphasize the urgent need for clear policies, guidelines, and frameworks to responsibly integrate ChatGPT in higher education. It also highlights the need for empirical research to understand user experiences and perceptions. The findings provide insights that can guide future research efforts in understanding the implications of ChatGPT and similar Artificial Intelligence (AI) systems in higher education. The study concludes by highlighting the importance of thing ethnography as an innovative approach for engaging with intelligent AI systems and calls for further research to explore best practices and strategies in utilizing Generative AI for educational purposes.

Abstract Digital technology has become a central aspect of higher education, inherently affecting all aspects of the student experience. It has also been linked to an increase in behavioural, affective and cognitive student engagement, the facilitation of which is a central concern of educators. In order to delineate the complex nexus of technology and student engagement, this article systematically maps research from 243 studies published between 2007 and 2016. Research within the corpus was predominantly undertaken within the United States and the United Kingdom, with only limited research undertaken in the Global South, and largely focused on the fields of Arts & Humanities, Education, and Natural Sciences, Mathematics & Statistics. Studies most often used quantitative methods, followed by mixed methods, with little qualitative research methods employed. Few studies provided a definition of student engagement, and less than half were guided by a theoretical framework. The courses investigated used blended learning and text-based tools (e.g. discussion forums) most often, with undergraduate students as the primary target group. Stemming from the use of educational technology, behavioural engagement was by far the most often identified dimension, followed by affective and cognitive engagement. This mapping article provides the grounds for further exploration into discipline-specific use of technology to foster student engagement.

Uncertain times require prompt reflexes to survive and this study is a collaborative reflex to better understand uncertainty and navigate through it. The Coronavirus (Covid-19) pandemic hit hard and interrupted many dimensions of our lives, particularly education. As a response to interruption of education due to the Covid-19 pandemic, this study is a collaborative reaction that narrates the overall view, reflections from the K12 and higher educational landscape, lessons learned and suggestions from a total of 31 countries across the world with a representation of 62.7% of the whole world population. In addition to the value of each case by country, the synthesis of this research suggests that the current practices can be defined as emergency remote education and this practice is different from planned practices such as distance education, online learning or other derivations. Above all, this study points out how social injustice, inequity and the digital divide have been exacerbated during the pandemic and need unique and targeted measures if they are to be addressed. While there are support communities and mechanisms, parents are overburdened between regular daily/professional duties and emerging educational roles, and all parties are experiencing trauma, psychological pressure and anxiety to various degrees, which necessitates a pedagogy of care, affection and empathy. In terms of educational processes, the interruption of education signifies the importance of openness in education and highlights issues that should be taken into consideration such as using alternative assessment and evaluation methods as well as concerns about surveillance, ethics, and data privacy resulting from nearly exclusive dependency on online solutions.

Background: models projecting future disease burden have focussed on one or two diseases. Little is known on how risk factors of younger cohorts will play out in the future burden of multi-morbidity (two or more concurrent long-term conditions). Design: a dynamic microsimulation model, the Population Ageing and Care Simulation (PACSim) model, simulates the characteristics (sociodemographic factors, health behaviours, chronic diseases and geriatric conditions) of individuals over the period 2014-2040. Population: about 303,589 individuals aged 35 years and over (a 1% random sample of the 2014 England population) created from Understanding Society, the English Longitudinal Study of Ageing, and the Cognitive Function and Ageing Study II. Main outcome measures: the prevalence of, numbers with, and years lived with, chronic diseases, geriatric conditions and multi-morbidity. Results: between 2015 and 2035, multi-morbidity prevalence is estimated to increase, the proportion with 4+ diseases almost doubling (2015:9.8%; 2035:17.0%) and two-thirds of those with 4+ diseases will have mental ill-health (dementia, depression, cognitive impairment no dementia). Multi-morbidity prevalence in incoming cohorts aged 65-74 years will rise (2015:45.7%; 2035:52.8%). Life expectancy gains (men 3.6 years, women: 2.9 years) will be spent mostly with 4+ diseases (men: 2.4 years, 65.9%; women: 2.5 years, 85.2%), resulting from increased prevalence of rather than longer survival with multi-morbidity. Conclusions: our findings indicate that over the next 20 years there will be an expansion of morbidity, particularly complex multi-morbidity (4+ diseases). We advocate for a new focus on prevention of, and appropriate and efficient service provision for those with, complex multi-morbidity.

BACKGROUND: Since the advent of artificial intelligence (AI) in 1955, the applications of AI have increased over the years within a rapidly changing digital landscape where public expectations are on the rise, fed by social media, industry leaders, and medical practitioners. However, there has been little interest in AI in medical education until the last two decades, with only a recent increase in the number of publications and citations in the field. To our knowledge, thus far, a limited number of articles have discussed or reviewed the current use of AI in medical education. OBJECTIVE: This study aims to review the current applications of AI in medical education as well as the challenges of implementing AI in medical education. METHODS: Medline (Ovid), EBSCOhost Education Resources Information Center (ERIC) and Education Source, and Web of Science were searched with explicit inclusion and exclusion criteria. Full text of the selected articles was analyzed using the Extension of Technology Acceptance Model and the Diffusions of Innovations theory. Data were subsequently pooled together and analyzed quantitatively. RESULTS: A total of 37 articles were identified. Three primary uses of AI in medical education were identified: learning support (n=32), assessment of students' learning (n=4), and curriculum review (n=1). The main reasons for use of AI are its ability to provide feedback and a guided learning pathway and to decrease costs. Subgroup analysis revealed that medical undergraduates are the primary target audience for AI use. In addition, 34 articles described the challenges of AI implementation in medical education; two main reasons were identified: difficulty in assessing the effectiveness of AI in medical education and technical challenges while developing AI applications. CONCLUSIONS: The primary use of AI in medical education was for learning support mainly due to its ability to provide individualized feedback. Little emphasis was placed on curriculum review and assessment of students' learning due to the lack of digitalization and sensitive nature of examinations, respectively. Big data manipulation also warrants the need to ensure data integrity. Methodological improvements are required to increase AI adoption by addressing the technical difficulties of creating an AI application and using novel methods to assess the effectiveness of AI. To better integrate AI into the medical profession, measures should be taken to introduce AI into the medical school curriculum for medical professionals to better understand AI algorithms and maximize its use.

Abstract The increasing pressure on agricultural production systems to achieve global food security and prevent environmental degradation necessitates a transition towards more sustainable practices. The purpose of this scoping review is to understand how the incentives offered to farmers motivate the adoption of sustainable agricultural practices and, ultimately, how and whether they result in measurable outcomes. To this end, this scoping review examines the evidence of nearly 18,000 papers on whether incentive-based programmes lead to the adoption of sustainable practices and their effect on environmental, economic and productivity outcomes. We find that independent of the incentive type, programmes linked to short-term economic benefit have a higher adoption rate than those aimed solely at providing an ecological service. In the long run, one of the strongest motivations for farmers to adopt sustainable practices is perceived benefits for either their farms, the environment or both. Beyond this, the importance of technical assistance and extension services in promoting sustainable practices emerges strongly from this scoping review. Finally, we find that policy instruments are more effective if their design considers the characteristics of the target population, and the associated trade-offs between economic, environmental and social outcomes.

AbstractThis article examines theoretical frameworks and models that focus on the pedagogical aspects of online education. After a review of learning theory as applied to online education, a proposal for an integrated Multimodal Model for Online Education is provided based on pedagogical purpose. The model attempts to integrate the work of several other major theorists and model builders such as Anderson (2011).

Summary This study focused on daily job crafting and explored its contextual determinants and one motivational outcome (i.e., work engagement). Job crafting was conceptualized as “seeking resources,” “seeking challenges,” and “reducing demands.” Participants were 95 employees from several organizations who completed a 5‐day diary survey. As hypothesized, we found a 3‐factor structure for the job crafting instrument, both at the general and day levels. We hypothesized and found that the combination of high day‐level work pressure and high day‐level autonomy (active jobs) was associated with higher day‐level seeking resources and lower day‐level reducing demands. Furthermore, we found that day‐level seeking challenges (but not resources) was positively associated with day‐level work engagement, whereas day‐level reducing demands was negatively associated with day‐level work engagement. Findings suggest that job crafting is a daily employee behavior with implications for management practice and future research. Copyright © 2012 John Wiley & Sons, Ltd.