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Research supports the value of clinical supervision as an essential aspect of mental health nursing. Despite the need for this, there appears to be a deficit in qualified supervision in the mental health field, although efforts have been made toward advanced mental health practitioner nursing. This study aims to characterize the ideas that advanced mental health nurse practitioners hold about supervision in practice and to consider what is required to support changes to advanced mental health nursing in Saudi Arabia.

This study adopted a qualitative exploratory design that applied a phenomenological approach as the research method. Twelve postgraduate mental health nurses were recruited through purposive sampling.

The data analysis generated the central theme, which indicates the attributes of a competent supervisor of advanced mental health nurse practitioners. The components of a supervisor’s competence had the following three main themes: nursing competencies, professional characteristics and communication.

A limitation of this study is that the data was collected from practicing advanced care mental health practitioners in Saudi Arabia. Further research conducted in different geographical areas and with different categories of staff is warranted. The results of those studies could be compared against the results presented here.

Best practice measures indicated that mental health nurse practitioners working in mental health settings and private practice should receive supervision to help them reflect upon their daily nursing practice challenges.

The findings of this study indicate that to support mental health practitioners and advanced mental health practitioners working in private practice, competent supervisors need to be on hand and willing to invest in creating a supportive culture in practice.

Effective use of data across public health organisations (PHOs) is essential for the provision of health services. While health technology and data use in clinical practice have been investigated, interactions with data in non-clinical practice have been largely neglected. The purpose of this paper is to consider what constitutes data, and how people in non-clinical roles in a PHO interact with data in their practice.

This mixed methods study involved a qualitative exploration of how employees of a large PHO interact with data in their non-clinical work roles. A quantitative survey was administered to complement insights gained through qualitative investigation.

Organisational boundaries emerged as a defining issue in interactions with data. The results explain how data work happens through observing, spanning and shifting of boundaries. The paper identifies five key issues that shape data work in relation to boundaries. Boundary objects and processes are considered, as well as the roles of boundary spanners and shifters.

The study was conducted in a large Australian PHO, which is not completely representative of the unique contexts of similar organisations. The study has implications for research in information and organisational studies, opening fields of inquiry for further investigation.

Effective systems-wide data use can improve health service efficiencies and outcomes. There are also implications for the provision of services by other health and public sectors.

The study contributes to closing a significant research gap in understanding interactions with data in the workplace, particularly in non-clinical roles in health. Research analysis connects concepts of knowledge boundaries, boundary spanning and boundary objects with insights into information behaviours in the health workplace. Boundary processes emerge as an important concept to understand interactions with data. The result is a novel typology of interactions with data in relation to organisational boundaries.

This study aims to evaluate and summarize the effectiveness of cognitive behavioral therapy (CBT) and internet-based CBT (ICBT) interventions on relapse prevention and severity of symptoms among individuals with major depressive disorder (MDD). CBT is one of the most used and suggested interventions to manage MDD, whereas ICBT is a novel effective proposed approach.

The review was conducted following the preferred reporting items for systematic review and meta-analysis protocol. A comprehensive and extensive search was performed to identify and evaluate the relevant studies about the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD.

A total of eight research studies met the inclusion criteria and were included in this systematic review. RCT studies were conducted to assess and evaluate the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD. It has been found that CBT is a well-supported and evidently based effective psychotherapy for managing depressive symptoms and reducing the relapse and readmission rate among patients diagnosed with MDD. The ICBT demonstrated greater improvements in depressive symptoms during major depressive episodes among patients with MDDS. The ICBT program had good acceptability and satisfaction among participants in different countries.

Despite the significant findings from this systematic review, certain limitations should be acknowledged. First, it is important to note that all the studies included in this review were exclusively conducted in the English language, potentially limiting the generalizability of the findings to non-English speaking populations. Second, the number of research studies incorporated in this systematic review was relatively limited, which may have resulted in a narrower scope of analysis. Finally, a few studies within the selected research had small sample sizes, which could potentially impact the precision and reliability of the overall conclusions drawn from this review. The authors recommend that nurses working in psychiatric units should use CBT interventions with patients with MDD.

This paper, a review of the literature gives an overview of CBT and ICBT interventions to reduce the severity of depressive symptoms and prevent patients’ relapse and rehospitalization and shows that CBT interventions are effective on relapse prevention among patients with MDD. In addition, there is still no standardized protocol to apply the CBT intervention in the scope of reducing the severity of depressive symptoms and preventing depression relapse among patients with major depressive disorder. Further research is needed to confirm the findings of this review. Future research is also needed to find out the most effective form and contents of CBT and ICBT interventions for MDD.

CBT is a psychological intervention that has been recommended by the literature for the treatment of major depressive disorder (MDD). It is a widely recognized and accepted approach that combines cognitive and behavioral techniques to assist individuals overcome their depressive symptoms and improve their overall mental well-being. This would speculate that effectiveness associated with several aspects and combinations of different approaches in CBT interventions and the impact of different delivery models are essential for clinical practice and appropriate selection of the interventional combinations.

This systematic review focuses on the various studies that explore the effectiveness of face-to-face CBT and ICBT in reducing depressive symptoms among patients with major depressive disorder. These studies were conducted in different countries such as Iran, Australia, Pennsylvania and the USA.

This paper aims to endorse and elaborate on the recommendations put forward by the Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network (SF-DDARIN), emphasising their significance in the field of developmental disabilities.

This paper outlines a specific point of view. The first section focuses on integrating developmental theory and advanced technology in interventions for developmental disabilities. Subsequently, the commentary explores virtual reality (VR) and generative artificial intelligence (AI) for enhancing social skills and personalising support. Finally, the piece highlights innovations like SocialWise VR and Custom Generative Pre-Trained Transformers in aligning interventions with developmental stages.

Technologies like VR and generative AI hold vast potential to revolutionise how clinicians provide timely and relevant knowledge to individuals with developmental disabilities.

This is strictly a commentary.

Availability of technology.

Both VR and generative AI will impact service delivery in a meaningful way.

The paper advocates for incorporating these technologies into SF-DDARIN's approach, emphasising their potential to revolutionise evidence-based interventions in developmental disabilities.

The purpose of this paper is to highlight current utilizations of advanced technology within the digital mental health platform Keel Mind.

Keel Mind, based out of Ontario, Canada is a therapeutic delivery platform that dually functions to train clinicians and deliver virtual therapy to clients.

From personalizing client and therapist matching to using natural language processing (NLP) and artificial intelligence (AI)-driven features Keel Mind supports clinician decision-making to meet the growing mental health needs of the population. Keel Mind functions to provide accessible service, efficiently train high-quality clinicians and enhance clinical outcomes for clients. In a preliminary study within post-secondary students from Ontario, Canada, 90.1% of clients reported liking the platform, and 83.4% reported that they experienced positive mental health outcomes as a result of using Keel Mind.

Keel Mind is a leader within the rapidly developing field of telepsychology and aims to promote positive mental health outcomes worldwide.

This digital showcase is the first published piece of work highlighting the technological capabilities of Keel Mind as a digital therapeutic platform. The intention of this work is to highlight current uses of digital technology within the field of therapeutic practice and to promote technological growth within the field.

The purpose of this study was to explore the clinical readiness of simulation-based education (SBE) in preparing nursing and midwifery students for clinical practice in sub-Saharan Africa. This study has synthesised the findings from existing research studies and provides an overview of the current state of SBE in nursing and midwifery programs in the region.

A qualitative meta-synthesis of previous studies was conducted using the following steps: developing a review question, developing and a search strategy, extracting and meta-synthesis of the themes from the literature and meta-synthesis of themes. Five databases were searched for from existing English literature (PubMed, Cumulative Index for Nursing and Allied Health Professional Literature [CINAHL], PsycINFO, EMBASE and ScienceDirect Medline, CINAHL and Science Direct), including grey literature on the subject. Eight qualitative studies conducted in sub-Saharan Africa between 2014 and 2022 were included. Hawker et al.'s framework was used to assess quality.

The following themes emerged from the literature. Theme 1: Improved skills and competencies through realism and repetition. Theme 2: Improved skills and competencies through realism and repetition. Theme 3: Improved learning through debriefing and reflection. Theme 4: Constraints of simulation as a pedagogical teaching strategy.

The qualitative meta-synthesis intended to cover articles from 2012 to 2022. Between 2012 and 2013, the authors could not identify purely qualitative studies from sub-Saharan Africa. The studies identified were either mixed methods or purely quantitative. This constitutes a study limitation.

Findings emphasise educator training in SBE. Comprehensive multidisciplinary training, complemented by expertise and planned debriefing sessions, serves as a catalyst for fostering reflective learning. Well-equipped simulation infrastructure is essential in preparing students for their professional competencies for optimal patient outcomes. Additional research is imperative to improve the implementation of SBE in sub-Saharan Africa.

The originality and value of SBE in nursing and midwifery programs in sub-Saharan Africa lie in its contextual relevance, adaptation to resource constraints, innovative teaching methodologies, provision of a safe learning environment, promotion of interprofessional collaboration and potential for research and evidence generation. These factors contribute to advancing nursing and midwifery education and improving healthcare outcomes in the region. This study fills this gap in the literature.

Most teacher preparation programs (TPP) provide little instruction on mitigating the stress-related consequences of teaching (Miller and Flint-Stipp, 2019). This study aims to provide empirical support for including a self-care unit in teacher preparation curricula to address the secondary trauma and stressors inherent to the teaching profession (Essential 2; NAPDS, 2021; Sutcher et al., 2019).

This investigation occurred in an elementary TPP at a private southeastern US university and spanned two years, utilizing a mixed methods approach.

Findings suggest that after experiencing a 5-week self-care unit, preservice teachers exhibited a statistically significant increase in well-being and a newfound recognition of the need to prioritize self-care for effective teaching, suggesting its potential effectiveness in reducing burnout and attrition.

While this study provided valuable insights into the implementation and impact of a self-care unit within the context of elementary education majors at a mid-sized private university in the USA, it is essential to acknowledge its limitations. One notable limitation is the relatively homogenous sample, primarily consisting of White female participants.

The implications of this study are critical for teacher education policy and practice, advocating for including self-care curricula to enhance teacher well-being and, by extension, prepare teachers with a skillset to support their career trajectory (Essential 3; NAPDS, 2021).

This recommendation underscores the collaborative efforts between TPPs and partnership schools to implement such initiatives effectively, representing a pivotal step toward better-preparing teachers to manage the demands of their profession while prioritizing their mental health (Essentials 4 & 5; NAPDS, 2021).

The study explores how Taiwan’s electronic health data systems can be used to build algorithms that reduce or eliminate medical errors and to advance precision medicine.

This study is a narrative review of the literature.

The body of medical knowledge has grown far too large for human clinicians to parse. In theory, electronic health records could augment clinical decision-making with electronic clinical decision support systems (CDSSs). However, computer scientists and clinicians have made remarkably little progress in building CDSSs, because health data tend to be siloed across many different systems that are not interoperable and cannot be linked using common identifiers. As a result, medicine in the USA is often practiced inconsistently with poor adherence to the best preventive and clinical practices. Poor information technology infrastructure contributes to medical errors and waste, resulting in suboptimal care and tens of thousands of premature deaths every year. Taiwan’s national health system, in contrast, is underpinned by a coordinated system of electronic data systems but remains underutilized. In this paper, the authors present a theoretical path toward developing artificial intelligence (AI)-driven CDSS systems using Taiwan’s National Health Insurance Research Database. Such a system could in theory not only optimize care and prevent clinical errors but also empower patients to track their progress in achieving their personal health goals.

While research teams have previously built AI systems with limited applications, this study provides a framework for building global AI-based CDSS systems using one of the world’s few unified electronic health data systems.

This research paper aimed to study the legal structure of top-performing health governance systems and compare them with the Indonesian health social security system to identify the main differences and provide recommendations for Indonesian and other developing countries’ health policymakers and administrators.

Using formative research with a conceptual approach and statute approach as method in this study. Data was gathered using the document study technique, which studies various documents, especially legal documents related to health law, linked to legal purpose theories. Moreover, the World Health Organization ranking was considered to choose the two countries (France and Singapore) with a high social health security system for comparative analysis. All data collected has been analyzed using a qualitative and theoretical basis. Content analysis was performed by analyzing the legal documents, and the regulatory framework of all three countries was deeply analyzed to draw conclusions and recommendations.

Indonesia has specific laws to implement a social security system in the health sector. However, the lack of the best medical facilities and infrastructure and weak implementation of existing laws were identified as major reasons behind the poor health security system compared to comparative countries. Also, as a developing nation Indonesian Government face budgetary pressures and huge population challenges to meet required standards. Thus, the financing approaches used by Singapore and France may help developing countries meet these challenges effectively. Therefore, there is a dire need to strengthen the social health security system all over the country with amendments to laws and ensure the implementation of prevailing laws and regulations.

Providing understanding related to the social security health system in Indonesia along with a detailed description of the sound social health security system in France and Singapore will further provide an avenue for the researchers to critically analyze this line of study to devise some valuable suggestions further and to draw loopholes in the system.

A comparative approach for legal studies in the health sector is rare. So, this research advanced the social security health system-related literature and legal studies on the health sector by using this comparative approach to develop policy insights and future research directions, which will further help the field to grow.

School-university partnerships (SUPs) probe a range of P12 challenges and interests, with teacher residencies being chief among them. Because historically black colleges and universities (HBCUs) have impressive track records (Hill-Jackson, 2017) and knowhow (Marchitello & Trinidad, 2019; Petchauer & Mawhinney, 2017) in preparing teacher candidates to work effectively in diverse schools, this paper seeks deeper understandings of the types of SUPs for teacher residency collaborations employed by traditional versus HBCU programs.

This article draws upon the self-study as a methodology to review a SUP for a teacher residency at an HBCU in the southwestern United States to illustrate an equity-centric model.

Leveraging an equity and third space perspective, three separate approaches to the SUPs are unpacked to establish the outline for this proposal: ceremonial, conventional and communal teacher residency approaches.

A novel typology of three distinct approaches to SUPs for teacher residencies is outlined to establish the extent to which equity is foregrounded among teacher residencies.