Overcoming language barriers in healthcare: A protocol for investigating safe and effective communication when patients or clinicians use a second language

Background Miscommunication in the healthcare sector can be life-threatening. The rising number of migrant patients and foreign-trained staff means that communication errors between a healthcare practitioner and patient when one or both are speaking a second language are increasingly likely. However, there is limited research that addresses this issue systematically. This protocol outlines a hospital-based study examining interactions between healthcare practitioners and their patients who either share or do not share a first language. Of particular interest are the nature and efficacy of communication in language-discordant conversations, and the degree to which risk is communicated. Our aim is to understand language barriers and miscommunication that may occur in healthcare settings between patients and healthcare practitioners, especially where at least one of the speakers is using a second (weaker) language. Methods/Design Eighty individual interactions between patients and practitioners who speak either English or Chinese (Mandarin or Cantonese) as their first language will be video recorded in a range of in- and out-patient departments at three hospitals in the Metro South area of Brisbane, Australia. All participants will complete a language background questionnaire. Patients will also complete a short survey rating the effectiveness of the interaction. Recordings will be transcribed and submitted to both quantitative and qualitative analyses to determine elements of the language used that might be particularly problematic and the extent to which language concordance and discordance impacts on the quality of the patient-practitioner consultation. Discussion Understanding the role that language plays in creating barriers to healthcare is critical for healthcare systems that are experiencing an increasing range of culturally and linguistically diverse populations both amongst patients and practitioners. The data resulting from this study will inform policy and practical solutions for communication training, provide an agenda for future research, and extend theory in health communication.

Exploring students' coping strategy intentions for cyberbullying

Most of the published research on cyberbullying has been conducted with children and adolescents, so little is known about cyberbullying in other populations. This study examined cyberbullying within an emerging adult population in a university setting (N = 282), and explored what coping strategies these individuals intended to use in response to future cyberbullying incidents. Blocking of the sender of the bullying message was found to be the most frequent intention to cope with cyberbullying among these emerging adults. It was also found that both gender and victimisation status (i.e., whether the emerging adult had, in the preceding twelve months, been a victim of cyberbullying) influenced coping strategy intentions. The implications for practice and future research are discussed.

Building resilient communities: Creating effective multi-channel communication during disaster response and recovery

Our aim is to examine evidence-based strategies to motivate appropriate action and increase informed decision-making during the response and recovery phases of disasters. We combine expertise in communication, consumer psychology and marketing, disaster and emergency management, and law. This poster presents findings from a social media work package, and preliminary findings from the focus group work package on emergency warning message comprehension.

Investigating how customer insights inform strategy leading to brand differentiation in the retail sector

Using qualitative research with case studies of firms in the Australian retail sector, this thesis explores the link between brand differentiation, customer insights, and strategy development to deliver a unique customer experience. The research focus is how brand expression is driven by customer insights. Findings indicate that customer experience is made tangible by the strategic design and alignment of the brand's expression and is crucial to retail success. A significant practical outcome is the development of the Brand Differentiated Model. Created as a tool to potentially assist retailers develop brands from the 'inside out' and confront future disruptions.

Communication adaption in challenging simulations for student nurse midwives

Background Nurses and midwives must be able to adapt their behaviour and language to meet the health care needs of patients and their families in diverse and at times difficult circumstances. Methods This study of fourth year dual degree nurse midwives use Communication Accommodation Theory strategies to examine their use of language and discourse when managing a sequential simulation of neonatal resuscitation and bereavement support. Results The results showed that many of the students were slow to respond to the changing needs of the patient and family and at times used ineffectual and disengaging language. Conclusion Clinical simulation is a safe and effective method for nurses and midwives to experience and practice the use of language and discourse in challenging circumstances.

Half-truths and dirty secrets: Omissions in CSR communication

This paper introduces the notion of half-truths, a term used to describe the communication of technically truthful information that has been, or has the potential to be, undermined by the omission of key information. By using an illustrative, exemplar case this study shows how an organization’s transparency and credibility in relation to its corporate social responsibility communication can be undermined, despite presenting technically truthful information

The root locus method: application to linear stability analysis and design of cooperative car-following models

A global framework for linear stability analyses of traffic models, based on the dispersion relation root locus method, is presented and is applied taking the example of a broad class of car-following (CF) models. This approach is able to analyse all aspects of the dynamics: long waves and short wave behaviours, phase velocities and stability features. The methodology is applied to investigate the potential benefits of connected vehicles, i.e. V2V communication enabling a vehicle to send and receive information to and from surrounding vehicles. We choose to focus on the design of the coefficients of cooperation which weights the information from downstream vehicles. The coefficients tuning is performed and different ways of implementing an efficient cooperative strategy are discussed. Hence, this paper brings design methods in order to obtain robust stability of traffic models, with application on cooperative CF models

An anticipative reactive control strategy to deal with unforeseen obstacles during a multi-sensor-based navigation task

We address the problem of the rangefinder-based avoidance of unforeseen static obstacles during a visual navigation task. We extend previous strategies which are efficient in most cases but remain still hampered by some drawbacks (e.g., risks of collisions or of local minima in some particular cases, etc.). The key idea is to complete the control strategy by adding a controller providing the robot some anticipative skills to guarantee non collision and by defining more general transition conditions to deal with local minima. Simulation results show the proposed strategy efficiency.

A CCG virtual system for big data application communication costs analysis

Network topology and routing are two important factors in determining the communication costs of big data applications at large scale. As for a given Cluster, Cloud, or Grid system, the network topology is fixed and static or dynamic routing protocols are preinstalled to direct the network traffic. Users cannot change them once the system is deployed. Hence, it is hard for application developers to identify the optimal network topology and routing algorithm for their applications with distinct communication patterns. In this study, we design a CCG virtual system (CCGVS), which first uses container-based virtualization to allow users to create a farm of lightweight virtual machines on a single host. Then, it uses software-defined networking (SDN) technique to control the network traffic among these virtual machines. Users can change the network topology and control the network traffic programmingly, thereby enabling application developers to evaluate their applications on the same system with different network topologies and routing algorithms. The preliminary experimental results through both synthetic big data programs and NPB benchmarks have shown that CCGVS can represent application performance variations caused by network topology and routing algorithm.

Towards development of a rapid and effective non-destructive testing strategy to identify brominated flame retardants in the plastics of consumer products

Polybrominated diphenyl ethers (PBDEs) are a class of brominated flame retardants (BFRs) once extensively used in the plastics of a wide range of consumer products. The listing of certain congeners that are constituents of commercial PBDE mixtures (including c-octaBDE) in the Stockholm Convention and tightening regulation of many other BFRs in recent years have created the need for a rapid and effective method of identifying BFR-containing plastics. A three-tiered testing strategy comparing results from non-destructive testing (X-ray fluorescence (XRF)) (n = 1714), a surface wipe test (n = 137) and destructive chemical analysis (n = 48) was undertaken to systematically identify BFRs in a wide range of consumer products. XRF rapidly identified bromine in 92% of products later confirmed to contain BFRs. Surface wipes of products identified tetrabromobisphenol A (TBBPA), c-octaBDE congeners and BDE-209 with relatively high accuracy (> 75%) when confirmed by destructive chemical analysis. A relationship between the amounts of BFRs detected in surface wipes and subsequent destructive testing shows promise in predicting not only the types of BFRs present but also estimating the concentrations present. Information about the types of products that may contain persistent BFRs will assist regulators in implementing policies to further reduce the occurrence of these chemicals in consumer products.

Increasing autonomy transparency through capability communication in multiple heterogeneous UAV management

Interest in the area of collaborative Unmanned Aerial Vehicles (UAVs) in a Multi-Agent System is growing to compliment the strengths and weaknesses of the human-machine relationship. To achieve effective management of multiple heterogeneous UAVs, the status model of the agents must be communicated to each other. This paper presents the effects on operator Cognitive Workload (CW), Situation Awareness (SA), trust and performance by increasing the autonomy capability transparency through text-based communication of the UAVs to the human agents. The results revealed a reduction in CW, increase in SA, increase in the Competence, Predictability and Reliability dimensions of trust, and the operator performance.

Graphene-covered perovskites: An effective strategy to enhance light absorption and resist moisture degradation

The long-term stability of methylammonium lead triiodide (MAPbI3) perovskite in moist environments is a paramount challenge to realise the commercialization of perovskite solar cells. In an attempt to address this concern, we have carried out systematic first-principles studies on the MAPbI3 perovskite with a hydrophobic graphene layer interfaced as a water barrier. We find there is a charge transfer at the graphene/MAPbI3 interface and electrons can be excited from graphene into the perovskite surface, leading to well separated electron–hole pairs, i.e. reduced recombination. By studying the optical properties, we find the hybrid graphene/MAPbI3 nanocomposite displays enhanced light absorption compared with the pristine MAPbI3. Furthermore, from an ab initio molecular dynamics simulation, the graphene/MAPbI3 nanocomposite is confirmed to be able to resist the reaction with water molecules, highlighting a great advantage of this nanocomposite in promoting long-term photovoltaic performance.

Media business studies as we see it: Why does it matter, for whom, and how do you get published? [editorial]

To the delight of the renewed editorial team, the Journal of Media Business Studies (JOMBS) receives an increasing number of submissions every week. Given the growing interest in the study of media business, whether from the angle of economics, management, strategy, organisation studies, marketing, consumer behaviour, innovation and entrepreneurship or other contributing disciplines, this editorial aims to clarify how we look at the field and wish to move the journal forward. In particular, we want to address a few questions that we believe are central for those who wish to publish their research with us and thereby contribute to the academic discussion. This article gives a more elaborate explanation to the aims and scope of JOMBS.

Editorial of "Communication Research and Practice, 1(3)"

For the third issue of Communication Research and Practice, we bring together a mix of submitted content and papers presented at events that were hosted under the auspices of the International Communication Association. Dal Yong Jin captures the dynamic and contradictory elements of both convergence and transmedia storytelling, and the ‘Korean Wave’, in his paper on webtoons. Exploring this distinctive online form of transmedia storytelling, Jin considers its evolution from the perspectives of digital content, political economy, convergent media and digital labour, and the tensions that surround its potential expansion into global cultural markets.