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The aim of this study is to explore the dual-experiences of AN recovered service providers. Prognoses for anorexia nervosa (AN) and anorexia nervosa-like (AN-like) presenting patients remain poor, and notably, no current treatment approach is reliably successful. Past research into AN has focused on singular experiences, those of either AN patients or those of practitioners providing treatment, but has yet to explore the experiences of recovered AN service users now working as AN service providers.

In this study, four UK-based female participants shared their dual experiences of treatment for AN or AN-like presentations through individual semi-structured interviews. Data collection and analysis were conducted in accordance with an Interpretative Phenomenological Analysis methodology.

Analysis revealed four primary themes, including barriers to accessing services; the impact of treating professionals’ approaches; displacement of responsibility for treating AN; and the value of dual-experience of AN.

This study focuses on AN and AN-like presentations and does not address the other eating disorders. Additionally, only female-identifying individuals volunteered their participation. As such, this study is notably lacking the voices of individuals of other genders.

Participant narratives suggest that improvements in the treatment of AN lie in improving professionals’ understanding of – and compassion towards – this patient group to optimise the power of the therapeutic relationship across all AN-treating professions.

Participants revealed a pervasive misunderstanding of AN among treating professionals that is hindering patients’ treatment and suggested that lived experience can be an asset in a professional context.

Individuals with dual experiences of AN can provide a unique and reflective insight into experiences of treatment through their combined personal and professional expertise and elucidate the experiences that both helped and hindered their own recovery.

Public health experts and advocates have long raised concerns about the pandemic preparedness of prison systems worldwide – an issue that became increasingly salient at the start of the COVID-19 pandemic. People in prison experience poorer health outcomes compared to the general population, making timely access to adequate health services in prison critical for their health and wellbeing. This study aims to identify the extent of the literature on initial changes in mental health and substance use services for people in prison during the COVID-19 pandemic, summarize and synthesize the findings and identify areas in need of further study.

The authors conducted a review of the academic literature published internationally in English between 2019 and December 1, 2020 to describe the disruptions and adaptations to mental health and substance use services in prisons during the onset of the COVID-19 pandemic.

The authors found that mental health and substance use services in prisons around the world were widely disrupted due to the COVID-19 pandemic – predominantly consisting of the complete suspension of services, discontinuation of transfers to off-site treatment sites and limitations on service capacity. Adaptations ranged from virtual service delivery and changes to treatment dispensation processes to information sessions on overdose prevention.

To the best of the authors’ knowledge, this is the first review to examine the nature and extent of the literature on delivery of mental health and substance use services in prisons during the COVID-19 pandemic.

Artificial intelligence (AI) is a significant game changer in human resource development (HRD). The launch of ChatGPT has accelerated its progress and amplified its impact on organizations and employees. This study aims to review and examine literature on AI in HRD, using a bibliometric approach.

This study is a bibliometric review. Scopus was used to identify studies in the field. In total, 236 papers published in the past 10 years were examined using the VOSviewer program.

The obtained results showed that most cited documents and authors are mainly from computer sciences, emphasizing machine learning over human learning. While it was expected that HRD authors and studies would have a more substantial presence, the lesser prominence suggests several interesting avenues for explorations.

This study provides insights and recommendations for researchers, managers, HRD practitioners and policymakers. Prioritizing the development of both humans and machines becomes crucial, as an exclusive focus on machines may pose a risk to the sustainability of employees' skills and long-term career prospects.

There is a dearth of bibliometric studies examining AI in HRD. Hence, this study proposes a relatively unexplored approach to examine this topic. It provides a visual and structured overview of this topic. Also, it highlights areas of research concentration and areas that are overlooked. Shedding light on the presence of more research originating from computer sciences and focusing on machine learning over human learning represent an important contribution of this study, which may foster interdisciplinary collaboration with experts from diverse fields, broadening the scope of research on technologies and learning in workplaces.