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Article
Publication date: 25 October 2023

Helen Frances Harrison, Elizabeth Anne Kinsella, Stephen Loftus, Sandra DeLuca, Gregory McGovern, Isabelle Belanger and Tristan Eugenio

This study aims to investigate student mentors' perceptions of peer mentor relationships in a health professions education program.

Abstract

Purpose

This study aims to investigate student mentors' perceptions of peer mentor relationships in a health professions education program.

Design/methodology/approach

The design uses embodied hermeneutic phenomenology. The data comprise 10 participant interviews and visual “body maps” produced in response to guided questions.

Findings

The findings about student mentors' perceptions of peer mentor relationships include a core theme of nurturing a trusting learning community and five related themes of attunement to mentees, commonality of experiences, friends with boundaries, reciprocity in learning and varied learning spaces.

Originality/value

The study contributes original insights by highlighting complexity, shifting boundaries, liminality, embodied social understanding and trusting intersubjective relations as key considerations in student peer mentor relationships.

Article
Publication date: 13 March 2024

Christian Ehiobuche

The effect of vicarious learning during clinical or medical internships on graduates' adaptive career behaviours has attracted scant attention from healthcare researchers…

Abstract

Purpose

The effect of vicarious learning during clinical or medical internships on graduates' adaptive career behaviours has attracted scant attention from healthcare researchers, particularly, in the developing world context. Drawing upon the social cognitive career theory model of career self-management (SCCT-CSM), the current study examines how vicarious learning influences the clinical graduates' adaptive career behaviours (i.e. career exploration and decision-making) via career exploration and decision-making self-efficacy (CEDSE) and career intention.

Design/methodology/approach

Data were collected from 293 nursing graduates undertaking clinical internships in 25 hospitals across Nigeria who willingly participated in this study as they were also assured of confidentiality at two-waves. The proposed hypotheses were tested using a path analysis.

Findings

The findings showed that vicarious learning during clinical internship had a direct effect on career exploration, decision-making and career decision self-efficacy among graduate trainees. Also, the findings revealed that the effects of vicarious learning on the graduates' career exploration and career decision-making were significantly mediated by career decision self-efficacy and career intentions.

Practical implications

The findings of this study have important practical implications for higher education institutions and industries that send and receive clinical graduates for clinical internships to gain more skills. More emphasis should be on encouraging learners to learn vicariously in addition to other forms of learning experiences available during clinical internships.

Originality/value

The study explains that the graduates' higher engagement in clinical career exploration and decision-making was based on a higher level of vicarious learning during internships. The results suggest that higher education institutions and healthcare service providers can derive greater benefits from more emphasis on promoting vicarious learning during clinical internships.

Details

Higher Education, Skills and Work-Based Learning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-3896

Keywords

Open Access
Article
Publication date: 6 April 2023

Haifa Mohammad Algahtani, Haitham Jahrami and Mariwan Husni

The COVID-19 pandemic has had a significant impact on medical education and training, with many medical schools and training programs having to adapt to remote or online learning…

Abstract

Purpose

The COVID-19 pandemic has had a significant impact on medical education and training, with many medical schools and training programs having to adapt to remote or online learning, social distancing measures and other challenges. This paper aimed to examine the disruption for clinical training, as it has reduced the opportunities for students and trainees to gain hands-on experience and interact with patients in person.

Design/methodology/approach

The ethnographic qualitative research design was chosen as the research methodology. Using Gibbs' reflective cycle, the researcher explored the psychiatry clerks' (final-year medical students) reflections on the disruption of their clinical training during the COVID-19 pandemic.

Findings

The findings demonstrated that the students had a significant psychological impact on their coping capacities as the crisis progressed from shock and depression to resilience. The students being the key stakeholders provided a concrete foundation for the development of a framework for improving practices during uncertain times.

Originality/value

Students' reflections provided valuable insight into the pandemic’s impact on their psychosocial lives with uncertainty and incapacity to cope up with changing stressful dynamics. The results will assist in planning how to best support medical students' well-being during interruptions of their educational process brought about by similar future crises.

Details

Arab Gulf Journal of Scientific Research, vol. 42 no. 2
Type: Research Article
ISSN: 1985-9899

Keywords

Article
Publication date: 26 March 2024

Raul Szekely, Syrgena Mazreku, Anita Bignell, Camilla Fadel, Hannah Iannelli, Marta Ortega Vega, Owen P. O'Sullivan, Claire Tiley and Chris Attoe

Many health-care professionals leave clinical practice temporarily or permanently. Interventions designed to facilitate the return of health-care professionals fail to consider…

Abstract

Purpose

Many health-care professionals leave clinical practice temporarily or permanently. Interventions designed to facilitate the return of health-care professionals fail to consider returners’ psychosocial needs despite their importance for patient care. This study aims to evaluate the efficacy of a psychoeducational intervention in improving personal skills and well-being among UK-based health-care professionals returning to clinical practice.

Design/methodology/approach

In total, 20 health-care professionals took part in the one-day intervention and completed measures of demographics, self-efficacy, positive attitudes towards work and perceived job resources before and after the intervention. A baseline comparison group of 18 health-care professionals was also recruited.

Findings

Significant associations were detected between return-to-work stage and study group. Following the intervention, participants reported improvements in self-efficacy and, generally, perceived more job resources, whereas positive attitudes towards work decreased. While none of these changes were significant, the intervention was deemed acceptable by participants. This study provides modest but promising evidence for the role of psychoeducation as a tool in supporting the psychosocial needs of returning health-care professionals.

Research limitations/implications

Additional research is needed to clarify the reliability of intervention effects, its effectiveness compared to alternative interventions, and the impact across different subgroups of returning health-care professionals.

Practical implications

Return-to-practice interventions should address the psychosocial needs of health-care professionals in terms of their personal skills and well-being. Psychoeducation can increase self-efficacy and perceptions of job resources among returning health-care professionals.

Originality/value

This study sheds light on a relatively understudied, but fundamental area – the psychosocial challenges of health-care professionals returning to clinical practice – and further justifies the need for tailored interventions.

Details

The Journal of Mental Health Training, Education and Practice, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-6228

Keywords

Open Access
Article
Publication date: 19 December 2023

Qinxu Ding, Ding Ding, Yue Wang, Chong Guan and Bosheng Ding

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive…

1041

Abstract

Purpose

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Design/methodology/approach

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

Findings

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

Practical implications

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

Originality/value

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.

Details

Journal of Electronic Business & Digital Economics, vol. 3 no. 1
Type: Research Article
ISSN: 2754-4214

Keywords

Article
Publication date: 24 January 2024

Nirmal Singh, Harmanjit Singh Banga, Jaswinder Singh and Rajnish Sharma

This paper aims to prompt ideas amongst readers (especially librarians) about how they can become active partners in knowledge dissemination amongst concerned user groups by…

Abstract

Purpose

This paper aims to prompt ideas amongst readers (especially librarians) about how they can become active partners in knowledge dissemination amongst concerned user groups by implementing 3D printing technology under the “Makerspace.”

Design/methodology/approach

The paper provides a brief account of various tools and techniques used by veterinary and animal sciences institutions for information dissemination amongst the stakeholders and associated challenges with a focus on the use of 3D printing technology to overcome the bottlenecks. An overview of the 3D printing technology has been provided following the instances of use of this novel technology in veterinary and animal sciences. An initiative of the University Library, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, to harness the potential of this technology in disseminating information amongst livestock stakeholders has been discussed.

Findings

3D printing has the potential to enhance learning in veterinary and animal sciences by providing hands-on exposure to various anatomical structures, such as bones, organs and blood vessels, without the need for a cadaver. This approach enhances students’ spatial understanding and helps them better understand anatomical concepts. Libraries can enhance their visibility and can contribute actively to knowledge dissemination beyond traditional library services.

Originality/value

The ideas about how to harness the potential of 3D printing in knowledge dissemination amongst livestock sector stakeholders have been elaborated. This promotes creativity amongst librarians enabling them to think how they can engage in knowledge dissemination thinking out of the box.

Details

Library Hi Tech News, vol. 41 no. 2
Type: Research Article
ISSN: 0741-9058

Keywords

Article
Publication date: 3 September 2021

Yousef Moradi, Marzieh Mahboobi and Ghobad Moradi

Identifying the health-related needs in transgender (TG) people can help to formulate strategies for providing appropriate and accessible health services and promoting health and…

Abstract

Purpose

Identifying the health-related needs in transgender (TG) people can help to formulate strategies for providing appropriate and accessible health services and promoting health and social justice, as well as human rights in these populations. This systematic review aims to determine health-related needs, problems and barriers, as well as ways to solve them in TG people from the viewpoint of TG individuals and health policymakers.

Design/methodology/approach

All international electronic databases such as PubMed (Medline), Embase, CINAHL, Scopus, Web of Sciences, Cochrane, PsycInfo and Google Scholar (Gray Literature) were searched from December 1990 to December 2019. After the search, the articles were screened based on their title, abstract and full text. The quality of articles was assessed using the Strengthening the reporting of observational studies in epidemiology (STROBE), Consolidated Standards of Reporting Trials (CONSORT) and Standards for Reporting Qualitative Research (SRQR) checklists. The search strategy, data extraction and quality evaluation of articles were independently performed by two researchers.

Findings

The general health-related needs identified in TG individuals from the viewpoint of themselves included access to legal hormone therapy, psychological and psychiatric counseling, privacy, health and hygiene needs, equality and freedom of expression. General health-related needs in TG individuals from the viewpoint of health policymakers included screening tests to detect sexually transmitted diseases, especially HIV, cancers and other diseases, as well as training service providers (physicians, nurses, health workers, etc.).

Research limitations/implications

One of the limitations of this study was nonreporting of health-related needs in initial articles by different TG groups because these groups have had different needs and different barriers to accessing health-care services. In this study, health-related needs and barriers to satisfy them were categorized from the viewpoint of TG populations and health policymakers around the world, which may influence future decisions to provide services to TG populations. The results of this systematic review can help to develop different strategies by considering all TGs from individual, family and social aspects to better provide services for this group. However, given the dynamics and changes in the existing communities and the limited studies on gender minorities in developing countries, further research is required to comprehensively address the subject.

Originality/value

The findings can be used as an incentive to improve existing conditions and to address problems and shortcomings. The results of this systematic review formulate strategies for providing appropriate and accessible health services and better lives for TGs, planning for more effective participation of these individuals in local communities, improving their physical problems and mental health through counseling, as well as promoting health and social justice, and human rights for these populations.

Details

International Journal of Human Rights in Healthcare, vol. 17 no. 1
Type: Research Article
ISSN: 2056-4902

Keywords

Article
Publication date: 8 March 2024

Agostino Marengo, Alessandro Pagano, Jenny Pange and Kamal Ahmed Soomro

This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published…

Abstract

Purpose

This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.

Design/methodology/approach

A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.

Findings

The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.

Research limitations/implications

The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.

Practical implications

This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.

Originality/value

This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.

Details

Interactive Technology and Smart Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 18 April 2023

Yabin Yang, Xitong Guo, Tianshi Wu and Doug Vogel

Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a…

Abstract

Purpose

Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a physicians' online return. This study, therefore, investigates physicians' online economic and social capital return in relation to physicians' use of social media and consumer engagement.

Design/methodology/approach

Using ordinary least squares (OLS) regression with fixed effects (FE) and panel data collected from Sina Weibo and Sina Health, this study analyzes the impact of physicians' social media use and consumer engagement on physicians' online return and the moderation effect of professional seniority.

Findings

The results reveal that physicians' use of social media and consumer sharing behavior positively affect physicians' online economic return. In contrast, consumer engagement positively impacts physicians' online social capital return. While professional seniority enhances the effect of physicians' social media use on online economic return, professional seniority only enhances the relationship between consumers' sharing behavior to the posts and physicians' online social capital return when professional seniority comes to consumer engagement.

Originality/value

This study reveals the different roles of social media use and consumer engagement in physicians' online return. The results also extend and examine the social media affordances theory in online healthcare communities and social media platforms.

Details

Internet Research, vol. 34 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 27 October 2023

Ana María Salazar, María Fernanda Reyes, Olga Pedraza, Angela Gisselle Lozano, María Camila Montalvo and Juan Camilo Rodriguez Fandiño

Different studies relate the presence of depression to lower cognitive performance and higher functional dependence in older people; however, this is not entirely clear. The…

Abstract

Purpose

Different studies relate the presence of depression to lower cognitive performance and higher functional dependence in older people; however, this is not entirely clear. The purpose of this study is to validate the existence between the association of these conditions.

Design/methodology/approach

Cross-sectional and descriptive study was conducted in which the memory, metamemory and global functionality test performance of depressed and non-depressed participants was compared between two groups, one cognitively healthy and other with cognitive decline. The participants were 420 older adults, with an average age of 69 and five years of schooling.

Findings

The importance of describing cognitive performance in older adults with depression may provide evidence to support an adequate differential diagnosis and the design of an adequate future therapeutic plan. Identifying and preventing depression in the elderly can improve health and well-being in the elderly.

Originality/value

Depression is a prevalent and highly disabling disease. When it is suffered by an older person, it is associated with higher mortality, functional dependence, poor physical health, worse quality of life indicators and psychological well-being. In the elderly, the clinical diagnosis of depression is difficult, as it has a high comorbidity and is often confused with other health conditions prevalent during older adulthood.

Details

Working with Older People, vol. 28 no. 1
Type: Research Article
ISSN: 1366-3666

Keywords

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