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Discharge planning home visits (DPHVs) are a routine part of occupational therapy clinical practice. However, there is a dearth of evidence to support or refute their efficacy and limited policies or standards to guide clinical practice. This study aims to investigate current clinical practice during home visits and the value that occupational therapists’ attribute to home visits within an Irish context.

Data collection was carried out by using a survey questionnaire (postal and electronic options). The study population comprised occupational therapists across 52 sites including acute, rehabilitation and convalescence settings within the Republic of Ireland. In total, 122 occupational therapists that completed the survey questionnaire were recruited for the study.

Quantitative data identified time spent per visit, departmental size, hospital size, number of visits and report writing times. Information was gathered regarding clinical areas assessed during visits in a Likert scale format. Qualitative data identified benefits, risks, recommendations to improve home visit practice and clinical criteria for home visits. Findings conclude that DPHVs are routinely carried out by occupational therapists and that there is consistency in clinical practice within an Irish setting. Occupational therapists value home visits as clinical assessments and have identified risks during practice, benefits of visits and ways to improve practice.

This study has provided a reflection of clinical practice in the Republic of Ireland. It is the only study of its kind in an Irish setting, and it could be used as a knowledge base regarding current practice on DPHV and occupational therapists’ clinical reasoning regarding home visits. The information gathered in this study could influence policies regarding DPHV and could serve as a comparison to standardise practice and justify the need for DPHV.

While there is increasing interest in implementing drug checking within overdose prevention, we must also consider how to scale-up these responses so that they have significant reach and impact for people navigating the unpredictable and increasingly complex drug supplies linked to overdose. The purpose of this paper is to present a distributed model of community drug checking that addresses multiple barriers to increasing the reach of drug checking as a response to the illicit drug overdose crisis.

A detailed description of the key components of a distributed model of community drug checking is provided. This includes an integrated software platform that links a multi-instrument, multi-site service design with online service options, a foundational database that provides storage and reporting functions and a community of practice to facilitate engagement and capacity building.

The distributed model diminishes the need for technicians at multiple sites while still providing point-of-care results with local harm reduction engagement and access to confirmatory testing online and in localized reporting. It also reduces the need for training in the technical components of drug checking (e.g. interpreting spectra) for harm reduction workers. Moreover, its real-time reporting capability keeps communities informed about the crisis. Sites are additionally supported by a community of practice.

This paper presents innovations in drug checking technologies and service design that attempt to overcome current financial and technical barriers towards scaling-up services to a more equitable and impactful level and effectively linking multiple urban and rural communities to report concentration levels for substances most linked to overdose.

The purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing.

No methodology was used because the paper is a review article.

no fundings.

Herein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.

This conceptual article outlines the known effects of employee monitoring on employees who are working remotely. Potential implications, as well as practitioner suggestions, are outlined to identify how practitioners can create more supportive employee experiences as well as apply these to workplace health management scenarios.

This overview is based on a selective and practically oriented review of articles that hitherto considered the health implications of remote workers being monitored electronically over the last two years. This overview is subsequently complemented by a discussion of more recent findings that outline the potential implications of monitoring for remote employees, employees' work experience and workplace health management.

Several practitioner-oriented suggestions are outlined that can pave the way to a more supportive employee experience for remote workers, who are monitored electronically by their employers. These include the various health and social interventions, greater managerial awareness about factors that influence well-being and more collaboration with health professionals to design interventions and new workplace policies. Organizations would also benefit from using audits and data analytics from monitoring tools to inform their interventions, while a rethink about work design, as well as organizational reviews of performance and working conditions further represent useful options to identify and set up the right conditions that foster both performance as well as employee well-being.

The article outlines practitioner-oriented suggestions that can directly and indirectly support employee well-being by recognizing the various factors that affect performance and experience.

Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities, green and biophilic thinking inform research, policy and practice agendas to varying extents. However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration. This research explores new conceptual ground at the Smart – Natural City interface within a safe interdisciplinary opportunity space. Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatorylearning and monitoring.The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite. The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.

This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for student learning. Classroom compositions of peers can also influence student learning.

A literature review was conducted on the use of data-driven decision-making in the rostering process. The review addressed the merits of using various quantitative metrics in the rostering process.

Findings revealed that, despite often being purposeful about rostering, school leaders and staffs have generally not engaged in data-driven decision-making in creating class rosters. Using data-driven rostering may have benefits, such as limiting the questionable practice of assigning the least effective teachers in the school to the youngest or lowest performing students. School leaders and staffs may also work to minimize negative peer effects due to concentrating low-achieving, low-income, or disruptive students in any one class. Any data-driven system used in rostering, however, would need to be adequately complex to account for multiple influences on student learning. Based on the research reviewed, quantitative data alone may not be sufficient for effective rostering decisions.

Given the rich data available to school leaders and staffs, data-driven decision-making could inform rostering and contribute to more efficacious and equitable classroom assignments.

This article is the first to summarize relevant research across multiple bodies of literature on the opportunities for and challenges of using data-driven decision-making in creating class rosters.

The purpose of this paper is to investigate generated themes associated with talent development in the Australian higher education sector. This is because there are pragmatic advantages for universities that are focused on developing talents. For example, talent is a primary source of competitive advantage for educational institutions.

This study depends on the individual interview method as the main tool for data collection. The sample consisted of six participants who are talented. High-level individual interviews were transcribed and thematically analysed using NVivo 11.

Individual interviews have identified four key themes of talent development: performance management, coaching talent, leadership development and talent acquisition.

This study only targeted one country (Australia), and one sector (higher education). Hence, the generalisability of these results is limited to the Australian university sector in Queensland.

This study collects rich and original qualitative data regarding talent development in the higher education domain. Therefore, for instance, the research findings validate what was already found but are significant because practical data rather than theoretical were gathered through a discussion with experts in talent management. This study has a high quality because of strengthening the effect of an in-depth case study.

The study offers a value added to talent management theory through investigating themes of talent development for the higher education sector. This would assist researchers in this field to provide a deeper understanding and develop a theoretical foundation for their further studies. This implication is unique to the advancement of talent management theory.

This paper aims to investigate cross-gender effects of gender stereotypes in advertising. More specifically, it proposes that the negative effects found in studies of women’s reactions to stereotyped female portrayals should hold across gender portrayal and target audience gender.

In two experimental studies, the effects of stereotyped portrayals (vs non-stereotyped portrayals) across gender are compared.

The results show that advertising portrayals of women and men have a presumed negative influence on others, leading to higher levels of ad reactance, which has a negative impact on brand-related effects across model and participant gender, and for gender stereotypes in terms of physical characteristics and roles.

Whereas previous studies have focused on reactions of women to female stereotypes, the current paper suggests that women and men alike react negatively to stereotyped portrayals of other genders.

The results indicate that marketers can benefit from adapting a more mindful approach to the portrayals of gender used in advertising.

The addition of a cross-gender perspective to the literature on gender stereotypes in advertising is a key contribution to this literature.

The purpose of this study is to identify and synthesise the best evidence on health-care leaders’ and professionals’ experiences and perceptions of compassionate leadership.

A mixed-methods systematic review was conducted in accordance with the Joanna Briggs Institute methodology for mixed-methods systematic reviews using a convergent integrated approach. A systematic search was done in January 2023 in PubMed, CINAHL, Scopus, Medic and MedNar databases. The results were reported based on Preferred Reporting Items for Systematic Reviews and Meta-analyses. The data was analysed using thematic analysis.

Ten studies were included in the review (five qualitative and five quantitative). The thematic analysis identified seven analytical themes as follows: treating professionals as individuals with an empathetic and understanding approach; building a culture for open and safe communication; being there for professionals; giving all-encompassing support; showing the way as a leader and as a strong professional; building circumstances for efficient work and better well-being; and growing into a compassionate leader.

Compassionate leadership can possibly address human resource-related challenges, such as health-care professionals’ burnout, turnover and the lack of patient safety. It should be taken into consideration by health-care leaders, their education and health-care organisations when developing their effectiveness.

This review synthesised the knowledge of compassionate leadership in health care and its benefits by providing seven core elements of health-care leaders’ and professionals’ experiences and perceptions of compassionate leadership.