Search results

The purpose of this paper will be to ascertain the underpinning reason for restraint use in the acute paediatric setting. In the UK, presentations for mental health-related needs within paediatric settings have increased. These admissions can be associated with patients with significant mental health and trauma histories who present with behaviours that challenge, risking exposure to higher levels of restrictive practice.

A literature review was conducted across five databases, PsychINFO, EMCARE, EMBASE, MEDLINE and CINAHL. Search terms related to “paediatrics” and “restraint” were used. In all, 116 studies were screened with 78 studies being retrieved for analysis. A total of eight studies were included for review. All studies were quality assessed using the appropriate tool that adhered to each respective design.

Five themes were extracted from the analysis and presented. These themes were identified as “restraint as part of the role of paediatric nursing”, “culture and attitudes”, “lack of guidance and agreed terminology”, “lack of other alternatives” and “training”. Restraint in paediatrics is unregulated not only in the UK but also globally. Positive behaviour support is highlighted as an approach for restraint reduction in paediatric settings.

This literature review identifies a significant lack of research regarding restraint for young people with mental health presentations in the paediatric setting. This paper sets forth the need for future research both in the UK and globally.

This paper investigates how capital-intensive companies, especially in the automotive sector, navigate the challenge of balancing significant technological investments against market demands for asset-light strategies. It examines the use of innovation platforms as a strategic solution for mediating these goal conflicts and sustaining competitiveness in a technology-driven market.

The study analysed 286 automotive companies from Europe, North America and Asia through a quantitative survey conducted in 2022, focusing on companies using innovation platforms. It applied partial least squares structural equation modelling (PLS-SEM) to assess the relationships between the use of innovation platforms, relational rents and performance.

The research found that companies using innovation platforms can achieve early-stage relational rents through partnerships and resource sharing, although these benefits have not yet translated into profitability. Companies in the sample are still developing their partner network, and while they experience collaborative advantages, they face initial challenges in converting these into financial gains. The study highlights the critical role of scaling in the network, complementarities in production, limiting the outflow of resources and capabilities besides modularisation in achieving long-term profitability.

This study contributes to the literature by providing empirical evidence on how capital-intensive companies use innovation platforms to balance technological investments and asset-light pressures, a topic with limited previous research. It underscores the long-term potential of such digital platforms in innovation ecosystems in generating value and the need for patient investment in promising platform effects. The findings support the strategic value of innovation platforms as capital-intensive industries face intensified competition from high-technology companies.

This study aims to evaluate the association between ethnic minority membership and their knowledge about their human health rights in Peru.

A secondary analysis of the National Health User Satisfaction Survey 2015–2016 was conducted using an analytical cross-sectional design. Participants who spoke Quechua, Aymara, Awajun, Bora or a language other than Spanish aged 15 year were considered as a racial minority. The question “Do you know that by law you have health rights?” was applied to incorporate knowledge on health rights. Generalized linear models of the Poisson distribution were used to calculate crude prevalence ratio and adjusted prevalence ratio. A total of 3,721 responses were included in the analysis.

The average age was 38.3 year, and 26.6% were males. The prevalence of belonging to an ethnic minority was 7.7%, and 27.6% of the participants did not know about their health rights. An association was found in the adjusted regression analysis between belonging to an ethnic minority and a greater probability of not knowing human health rights.

The value of the works lies in one in four participants who did not know he had health rights by law. Belonging to an ethnic minority was associated with not knowing about having human health rights.

The purpose of this research is to develop theory, thereby attending to the existing knowledge gap regarding the impact of family firms on entrepreneurial ecosystems (EEs). Reducing such a gap is both timely and relevant given the ubiquity of family firms across the globe and the lack of theoretical development at the intersection of EE and family firm literatures. By employing social capital theory in a propositional theorizing approach, this article presents unique propositions that enrich current understanding of the EE phenomenon.

Our method adopts a three-step propositional theorizing approach. The first step outlines our conceptualization, drawing on social capital theory and identifying multiple levels of analysis pertaining to EEs and family firms. The second step precisely identifies the constructs used for the theorization process, drawing upon relevant literature. The third step involves proposition building, which produces our findings.

As a result of our propositional theorizing method, we developed 10 theoretical propositions to explain interactions between family members, nonfamily entrepreneurs, family firms and new ventures in the EE, thereby focusing on the social elements of the EE and reducing its conceptual complexity while extending the explanatory power of family social capital in the EE.

Despite being increasingly relevant in research, policy and practice discourse, EEs remain under theorized. By theorizing in this context, we provide explanations of the mechanisms to explain social interactions between family members, nonfamily entrepreneurs, family firms and new ventures and how such interactions are likely to provide better access to the untapped resources in the EE. Furthermore, our theorization also identifies underexplored research areas paving the way for future scholars.

This article is relevant to practitioners and policymakers interested in creating balanced, inclusive and effective EE policies and interventions. Our theorization generates insights that complement a bottom-up approach where the state assumes a facilitating role for actors such as family firms to positively impact their EE. This research is both timely and necessary because, if unaddressed, it will lead to ineffective and potentially exclusionary policies and EE interventions.

We contribute to the literature by synthesizing the two domains and thereby advancing knowledge at the intersection of EE and family firm literatures. We strengthen the link between two burgeoning research areas through a propositional theorizing mode of theory development. Under the assumptions of a grand theory, social capital theory, we highlight the benefits that derive from social interactions in the EE between family firms and other EE actors.

The purpose of the study is to examine the psychological impact of COVID-19 on health workers' career satisfaction and intention to leave the health profession, with neurotic personality type as a moderator.

A total of 277 health workers in two public hospitals in Ghana were included in this study. Purposive and convenience sampling techniques were adopted for the study, focusing on eight departments that were involved in the management of COVID-19 cases. Validated instruments were used to measure burnout, intention to leave, neurotic personality and career satisfaction. Using AMOS and partial least squares structural equation modeling (PLS-SEM), various techniques were employed to analyze mediating and moderating mechanisms.

The departments had staff sizes ranging from 19 to 40, with 67% female and 33% male, with an average age of 31. Nurses accounted for the majority of responses (67.8%), followed by physicians (13.9%), sonographers (0.9%), lab technicians (0.9%) and other respondents (16.5%). The study found that health workers’ level of burnout during COVID-19 had a positive effect on their intention to leave the health profession. Career satisfaction does not mediate this relationship; however, career satisfaction negatively influences the intention to leave the health profession. A neurotic personality does not moderate this relationship.

This study provides validation of burnout and intention to leave among health workers in Ghana during COVID-19 and supports the proposition that threats to resources (burnout) and having a resource (career satisfaction) have effects on the intention to leave one’s profession.

During World War I, more than 11,000,000 children, or over half of all schoolchildren in America, joined their local Junior Red Cross and engaged in volunteer war work. What these children learned in school from their work with the Junior Red Cross, as well as those who did the same work outside of the organization, was an important part of the war work underway in the nation. While they may not have been working for wages, they were still an essential part of the war work economy. Across the nation, they made thousands of quilts, not just for the soldiers in the hospitals but also for the orphans of France, Belgium, and Armenia. Their colorful and warm quilts are the perfect example of youthful resistance against the pallid and cold realities of war. By focusing more on the journalism of the day, rather than the secondary sources related to the economics of the war, this chapter strives to tell their stories and return to the children the praise and admiration they got during the war for their dedication to their country that was, unfortunately, forgotten over time. By making these quilts, the children not only showed great patriotism and interest in the war, for they were responsible for providing comfort to the casualties of war and hope for the survivors of genocide, but they also served as valuable economic sources in the war economy. And as we all know, a good citizen contributes to the economy, and good citizens deserve recognition.

The increasing adoption of generative artificial intelligence (GenAI) tools in university education has raised significant ethical concerns regarding academic integrity and fairness. This study aims to address these concerns by reviewing existing models and frameworks for ethical GenAI use and proposing a preliminary roadmap to establish ethical standards for GenAI use in higher education.

This study reviews current models and frameworks for ethical GenAI use, identifying their strengths and limitations. Based on this literature review and an approach combining interpretative phenomenological analysis and a hybrid phenomenological qualitative method, a six-phase roadmap is proposed, consisting of awareness and understanding, policy development, curriculum integration, technology and infrastructure, continuous evaluation and adaptation and collaboration and outreach.

This paper emphasizes the need for clear policies, interdisciplinary curriculum integration, robust technological infrastructure and ongoing stakeholder collaboration. Practical recommendations are provided for each phase of the roadmap, offering strategic guidance for universities to navigate the ethical complexities of GenAI implementation.

The proposed roadmap serves as a foundational step for developing policies and guidelines that ensure GenAI supports academic integrity and fosters innovative learning environments. Future research will focus on empirical validation and refinement of the roadmap to enhance its applicability and effectiveness in diverse educational contexts.

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.