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The purpose of this paper is to describe handover in the emergency centre from the perspective of prehospital emergency care providers in Johannesburg, South Africa. Reference to emergency centre handover from the prehospital perspective will have particular relevance to all deliverers of emergency centre handover.

A purposive, cross-sectional design addressed the study aim by using a purpose-designed, validated, paper-based questionnaire to collect data relating to prehospital emergency care personnel's perspectives on emergency centre handover.

There were 175 completed questionnaires collected from South African prehospital personnel within the Johannesburg area. The response rate was 175/290 or 62%. Training on handover was described as poor. There was a general appreciation of mnemonics and how well they ensured that all relevant information was handed over. However, this was countered by poor familiarity of common mnemonics. Perception of the accuracy of their own and observed prehospital handovers was generally positive. Handover length was generally perceived to be appropriate. The qualification of emergency centre personnel was perceived to impact on how handovers were received.

The study was limited to one geographical area and did not include all potential participants in the study area. The self-reported data collection meant that there was a risk of self-report bias. These factors may have negatively affected the generalisability of the data.

This paper seeks to describe perceptions related to emergency centre handover from the perspective of prehospital emergency care personnel. In doing so, it is postulated that there is the potential to use these findings to improve certain aspects of emergency centre handover.

The purpose of this paper is to present a review of the implications building information modelling (BIM) is having on the building energy modelling (BEM) and design of buildings. It addresses the issues surrounding exchange of information throughout the design process, and where BIM may be useful in contributing to effective design progression and information availability.

Through review of current design procedures and examination of the concurrency between architectural and thermophysical design modelling, a procedure for information generation relevant to design stakeholders is created, and applied to a high-performance building project currently under development.

The extents of information key to the successful design of a buildings energy performance in relation to its architectural objectives are given, with indication of the level of development required at each stage of the design process.

BIM offers an extensible medium for parametric information storage, and its implementation in design development offers the capability to include BEM parameter-integrated construction information. The extent of information required for accurate BEM at stages of a building’s design is key to understanding how best to record performance information in a BIM environment.

This paper contributes to the discussion around the integration of concurrent design procedures and a common data environment. It presents a framework for the creation and dissemination of information during design, exemplifies this on a real building project and evaluates the barriers experienced in successful implementation.

Effective information management can help real estate operators improve asset performance during use, reducing environmental impact. The purpose of this exploratory study is to identify and prioritise key drivers, challenges and opportunities relating to information management, from the point of view of a diverse cohort of facilities practitioners, with the aim of guiding future research direction and contributing to a comprehensive domain understanding.

Nine interviews are conducted across a broad sample of real estate sectors, the respondents including six facility managers and three data managers. A thematic analysis results in the identification and ranking in terms of importance of 44 emergent themes. These themes are then grouped into abstracted categories for analysis and synthesis.

This study indicates that systemic rather than technical issues are the greatest barrier to effective information management for facilities practitioners, the interviews providing examples of practical measures which address these challenges, promoting lifecycle thinking. Alignment is also found between the facilities and data management cohorts regarding lifecycle thinking towards both physical assets and information.

This study provides direction for future developments in the facilities sector, suggesting the pursuit to address systemic issues as being both worthwhile and feasible.

The novelty of this study is the ranking and synthesis of practitioner priorities with regard to high-level information management issues which is lacking in the literature, with a focus to-date on case-specific technical integration.

The aim of this study is to investigate the roles of psychiatric mental health nurses during their work experiences in inpatient clinical settings.

A focus group of 10 graduate psychiatric nurses with more than two years’ practice in inpatient psychiatric settings reflected on their last six months’ work placements and continuous employment. The transcripts and field notes were analyzed through thematic analysis of inductive data.

Two main themes emerged: management roles and clinical roles. The participants reflected on caring activities and obstacles encountered in fulfilling their professional roles.

Multiple practice issues emerged. The participants perceived that psychiatric nurse specialists are required to perform more caring functions than practicable in the inpatient setting due to an excess of noncaring duties, structural minimization of the caring role and inadequate training. They felt that many of the functions performed were not within their expectations of the caring role of a psychiatric nurse specialist and believed that changes in nurse education and attention to clarification of nurses’ roles might enhance the role they play in patient care.

This study aims to provide a systematic review about the Internet of Things (IoT) and its impacts on happiness. It intends to serve as a platform for further research as it is sparse in in-depth analysis.

This systematic review initially observed 2,501 literary articles through the ScienceDirect and WorldCat search engines before narrowing it down to 72 articles based on subject matter relevance in the abstract and keywords. Accounting for duplicates between search engines, the count was reduced to 66 articles. To finally narrow down all the literature used in this systematic review, 66 articles were given a critical readthrough. The count was finally reduced to 53 total articles used in this systematic review.

This paper necessitates the claim that IoT will likely impact many aspects of our everyday lives. Through the literature observed, it was found that IoT will have some significant and positive impacts on people's welfare and lives. The unprecedented nature of IoTs impacts on society should warrant further research moving forward.

While the literature presented in this systematic review shows that IoT can positively impact the perceived or explicit happiness of people, the amount of literature found to supplement this argument is still on the lower end. They also necessitate the need for both greater depth and variety in this field of research.

Since technology is already a pervasive element of most people’s contemporary lives, it stands to reason that the most important factors to consider will be in how we might benefit from IoT or, more notably, how IoT can enhance our levels of happiness. A significant implication is its ability to reduce the gap in happiness levels between urban and rural areas.

Currently, the literature directly tackling the quantification of IoTs perceived influence on happiness has yet to be truly discussed broadly. This systematic review serves as a starting point for further discussion in the subject matter. In addition, this paper may lead to a better understanding of the IoT technology and how we can best advance and adapt it to the benefits of the society.

This paper seeks to understand relationships between prison healthcare and integrated care systems (ICS), including how these affect the delivery of new healthcare interventions. It also aims to understand how closer integration between prison and ICS could improve cross system working between community and prison healthcare teams, and highlights challenges that exist to integration between prison healthcare and ICS.

The study uses evidence from research on the implementation of a pilot study to establish telemedicine secondary care appointments between prisons and an acute trust in one English region (a cross-system intervention). Qualitative interview data were collected from prison (n = 12) and community (n = 8) healthcare staff related to the experience of implementing a cross-system telemedicine initiative. Thematic analysis was undertaken on interview data, guided by an implementation theory and framework.

The research found four main themes related to the closer integration between prison healthcare and ICS: (1) Recognition of prison health as a priority; (2) Finding a way to reconcile networks and finances between community and prison commissioning; (3) Awareness of prison service influence on NHS healthcare planning and delivery; and (4) Shared investment in prison health can lead to benefits.

This is the first article to provide research evidence to support or challenge the integration of specialist health and justice (H&J) commissioning into local population health.

The purpose of this study is to identify the key data categories and characteristics defined by asset information requirements (AIR) and how this affects the development and maintenance of an asset information model (AIM) for a blockchain-based digital twin (DT).

A mixed-method approach involving qualitative and quantitative analysis was used to gather empirical data through semistructured interviews and a digital questionnaire survey with an emphasis on AIR for blockchain-based DTs from a data-driven predictive analytics perspective.

Based on the analysis of results three key data categories were identified, core data, static operation and maintenance (OM) data, and dynamic OM data, along with the data characteristics required to perform data-driven predictive analytics through artificial intelligence (AI) in a blockchain-based DT platform. The findings also include how the creation and maintenance of an AIM is affected in this context.

The key data categories and characteristics specified through AIR to support predictive data-driven analytics through AI in a blockchain-based DT will contribute to the development and maintenance of an AIM.

The research explores the process of defining, delivering and maintaining the AIM and the potential use of blockchain technology (BCT) as a facilitator for data trust, integrity and security.