FOCUSING ON CENTRALITY MEASURE IN EMERGENCY MEDICAL SERVICES

Emergency Medical Services (EMS) attracted many researchers because the demand of EMS was increasing over time. One of the major concerns of EMS is the response time and ambulance despatching is one of the vital factors which affects the response time. This paper focuses on the problem of ambulance despatching when many emergency calls emerge in a short time, which exists under the condition of catastrophic natural or manmade disasters. We modify a new method for ambulance despatching by centrality measure, this method constructs a nearest-neighbor coupled emergency call network and then prioritize those calls by the score of fitness, where the score of fitness considers two factors: centralized measure a call by the emergency call network and the closest policy which means despatching to the closest call site. This method is testified by a series of simulation experiments on the real topology road network of Hong Kong Island which contains 8 hospitals. These analyses demonstrate the real situation and proof the potential of centrality measure in reducing response time of EMS

An Exploratory Social Network Analysis of Military and Civilian Emergency Operation Centers Focusing on Organization Structure

The purpose of this research was to explore how United States Air Force Emergency Operation Centers (EOC) compare to civilian EOCs with respect to their task-based social networks and decision making social networks. Multiple measures were explored to understand the networks, which included analyzing key metrics of the network such as closeness centrality and betweenness centrality, centralization of the network, and comparison of structural holes within the networks. These measures were then used to suggest improvements for the organizations to improve performance and more importantly, interoperability. The results of the study showed that in this data set there were several differences between how military and civilian networks are structured. These differences could lead to incongruencies that could cause chaos, delays, duplication of effort, and inefficiency when multiple EOCs are responding to a crisis event. While the cause of the differences is unclear the social network methodology provides new and informative insight into the form and properties of the networks

Working Together: Exploring the Factors that Influence Interorganizational Cooperation

Administrative and policy failures increasingly occur because of the inability of organizations to facilitate collective action in the absence of a central, hierarchical authority. I explore how organizations achieve (or fail to achieve) voluntary, self-organizing collective action that is not a direct result of external control, presenting a polycentric system of governance within a set of public, nonprofit, and for-profit agencies operating in the policy domain of emergency management. Using a complex adaptive systems framework (Axelrod and Cohen 1999), I identify the patterns of variation, interaction, and the choices made among agencies that determine whether organizations work together. I develop a model of an integrated, interdependent system of emergency management facilitated by a knowledge commons, as opposed to the established sequential cycle of disaster response. The research problem addressed, collective action without hierarchy, is fundamentally an issue of decision making. The ability of decision makers to recognize key situations in their environments and develop strategies for action, i.e. cognition, is critical. Analysis of network data and semi-structured interviews finds that urgent need, proximity, and professional capital, a concept developed in this dissertation, promote and sustain cooperation. I show how these factors increase the capacity of heterogeneous networks to accomplish shared goals. Even if the conditions of urgent need and proximity are satisfied, situations exist where agencies fail to cooperate. Key standards of professional performance—appearance, levels of staffing, past performance, response time, and the quality of equipment—influence the decisions of emergency managers to work together. I present the concept of professional capital to describe how these recognized standards of professional performance demonstrate competence and justify the decisions of managers to interact. Professional capital transcends jurisdictional and disciplinary boundaries, influencing the confidence of decision makers and shaping judgments based on expectations of performance. This concept adds a missing component to social capital theory, which currently focuses on the roles of pre-established trust and norms of reciprocity in promoting collective action

Measuring coordination between women's self-help groups and local health systems in rural India:A social network analysis

Objectives: To assess how the health coordination and emergency referral networks between women\u27s self-help groups (SHGs) and local health systems have changed over the course of a 2-year learning phase of the Uttar Pradesh Community Mobilization Project, India. Design: A pretest, post-test programme evaluation using social network survey to analyse changes in network structure and connectivity between key individuals and groups. Setting: The study was conducted in 18 villages located in three districts in Uttar Pradesh, India. Intervention: To improve linkages and coordination between SHGs and government health providers by building capacity in leadership, management and community mobilisation skills of the SHG federation. Participants: A purposeful sampling that met inclusion criteria. 316 respondents at baseline and 280 respondents at endline, including SHG members, village-level and block-level government health workers, and other key members of the community (traditional birth attendants, drug sellers, unqualified rural medical providers, pradhans or elected village heads, and religious leaders). Main outcome measures: Social network analysis measured degree centrality, density and centralisation to assess changes in health services coordination networks at the village and block levels. Results: The health services coordination and emergency referral networks increased in density and the number of connections between respondents as measured by average degree centrality have increased, along with more diversity of interaction between groups. The network expanded relationships at the village and block levels, reflecting the rise of bridging social capital. The accredited social health activist, a village health worker, occupied the central position in the network, and her role expanded to sharing information and coordinating services with the SHG members. Conclusions: The creation of new partnerships between traditionally under-represented communities and local government can serve as vehicle for building social capital that can lead to a more accountable and accessible community health delivery system

Using Social Network Analysis to Link Community Health and Network Strength

Social network analysis (SNA) is a technique used to analyze social networks, whether it be composed of people, organizations, physical locations, or objects. It is being increasingly applied across a variety of sectors to gain insight into patterns of behavior and connectivity, the flow of information and behaviors, and to track and predict the effectiveness of interventions or programs. A key area associated with network strength using SNA is the health and wellness of individuals and communities. Both network strength and health and wellness are measured in many ways, which can obfuscate the association, so more consistency and further research is required. Despite this, the existing research using SNA to link characteristics of social networks to health and wellness find that stronger, more connected networks tend to be associated with better health outcomes. These results also present opportunities and insights for effective program implementation in response to disasters, to increase resilience, and to improve outcomes for individuals and communities

The ergonomics of command and control

Since its inception, just after the Second World War, ergonomics research has paid special attention to the issues surrounding human control of systems. Command and Control environments continue to represent a challenging domain for Ergonomics research. We take a broad view of Command and Control research, to include C2 (Command and Control), C3 (Command, Control and Communication), and C4 (Command, Control, Communication and Computers) as well as human supervisory control paradigms. This special issue of ERGONOMICS aims to present state-of-the-art research into models of team performance, evaluation of novel interaction technologies, case studies, methodologies and theoretical review papers. We are pleased to present papers that detail research on these topics in domains as diverse as the emergency services (e.g., police, fire, and ambulance), civilian applications (e.g., air traffic control, rail networks, and nuclear power) and military applications (e.g., land, sea and air) of command and control. While the domains of application are very diverse, many of the challenges they face share interesting similarities

The Research Space: using the career paths of scholars to predict the evolution of the research output of individuals, institutions, and nations

In recent years scholars have built maps of science by connecting the academic fields that cite each other, are cited together, or that cite a similar literature. But since scholars cannot always publish in the fields they cite, or that cite them, these science maps are only rough proxies for the potential of a scholar, organization, or country, to enter a new academic field. Here we use a large dataset of scholarly publications disambiguated at the individual level to create a map of science-or research space-where links connect pairs of fields based on the probability that an individual has published in both of them. We find that the research space is a significantly more accurate predictor of the fields that individuals and organizations will enter in the future than citation based science maps. At the country level, however, the research space and citations based science maps are equally accurate. These findings show that data on career trajectories-the set of fields that individuals have previously published in-provide more accurate predictors of future research output for more focalized units-such as individuals or organizations-than citation based science maps

Applying social network analysis to the examination of interruptions in healthcare

Examinations of interruptions in healthcare often focus on a single clinical discipline, and solutions are targeted accordingly. This approach does not take into account the inter-disciplinary dependencies and other sociotechnical aspects that make up the healthcare work system, and suggested solutions may not meet the needs of all stakeholders. In this article a sociotechnical systems perspective is used to uncover the interdependencies between 16 unique work roles that result in interruptions in an intensive care unit (ICU). By applying social network analysis techniques to data collected using the Dual Perspectives Method, we identified targeted systems-based interventions that may reduce unnecessary interruptions while avoiding unintended consequences that impose additional burden on ICU staff. The rich insights gained into the interruptive communication patterns in the ICU work system stand in contrast to findings that would have otherwise been obtained by focusing only on a single clinical discipline or a single perspective

Network governance and climate change adaptation: collaborative responses to the Queensland floods

Abstract This research examines ways to build adaptive capacity to climate change, through a case study of organisations that participated in the response to Queensland’s major flood disaster in Queensland in 2010/11. The research applied a network governance approach, including social network analysis and qualitative investigations, to the communities of Rockhampton, Emerald and Brisbane. The study was designed to compare social networks across a range of different geographical; functional; and institutional and regulatory contexts.Primary data were obtained from organisations involved in disaster management and water management, through a telephone survey conducted March – September 2012. The network analyses examined collaboration and communication patterns; changes in the network structure from routine management to flood operations; similarities and differences between the geographic regions, and whether collaboration was correlated with trust. A cultural values analysis was then performed to identify the key values of the network actors in each region. Two workshops were conducted in Rockhampton and Brisbane to disseminate the findings to stakeholders, as well as to obtain feedback through group activities.A total of 63 organisations participated in the study. As the network analyses and visualisations indicated that the Rockhampton and Emerald networks were tightly interconnected, a single ‘Central Queensland’ (CQ) network was used for all subsequent analyses. In both Brisbane and CQ, slightly higher levels of collaboration amongst organisations were recorded during flood periods compared with routine operations; and organisations tended to provide, as well as receive, information and/or resources from their collaborators. Overall, both networks appeared to feature high trust, with only a low level of difficult ties (problematic relationships) being reported.The cultural analyses identified patterns of common values amongst participating organisations. In Brisbane, respondents placed a high value on shared information systems and resources; shared communication and language; as well as on collaboration and flexibility. In the CQ network, there was a greater emphasis on local solutions, community wellbeing and longitudinal issues (such as post-disaster supply chains for recovery). The workshop activities suggested that the current structure of Local Disaster Management Groups was heavily influential on broader network participation; and that defining an ‘effective’ disaster response was a complex issue.This study has demonstrated that a network governance approach can provide new ways of understanding the core elements of adaptive capacity, in areas such as enablers and barriers to adaptation, and translating capacity into adaptation. The key implications for policy and practice include the need for stakeholders to drive adaptation to climate change through collaboration and communication; the need for stakeholders to share a common goal and language; the need for better engagement with community, diversity and Indigenous organisations; the need to establish collaboration outside of disaster events; and the need for network governance systems to play an important role in helping to facilitate climate change adaptation. The areas identified for future research included further methodological development and longitudinal studies of social networks, understanding effective modes of communication, and the influence of the changing nature of regional Australian communities on climate change adaptation.Please cite this report as:Kinnear, S, Patison, K, Mann, J, Malone, E, Ross, V 2013, Network governance and climate change adaptation: collaborative responses to the Queensland floods, National Climate Change Adaptation Research Facility, Gold Coast, pp. 113.This research examines ways to build adaptive capacity to climate change, through a case study of organisations that participated in the response to Queensland’s major flood disaster in Queensland in 2010/11. The research applied a network governance approach, including social network analysis and qualitative investigations, to the communities of Rockhampton, Emerald and Brisbane. The study was designed to compare social networks across a range of different geographical; functional; and institutional and regulatory contexts.Primary data were obtained from organisations involved in disaster management and water management, through a telephone survey conducted March – September 2012. The network analyses examined collaboration and communication patterns; changes in the network structure from routine management to flood operations; similarities and differences between the geographic regions, and whether collaboration was correlated with trust. A cultural values analysis was then performed to identify the key values of the network actors in each region. Two workshops were conducted in Rockhampton and Brisbane to disseminate the findings to stakeholders, as well as to obtain feedback through group activities.A total of 63 organisations participated in the study. As the network analyses and visualisations indicated that the Rockhampton and Emerald networks were tightly interconnected, a single ‘Central Queensland’ (CQ) network was used for all subsequent analyses. In both Brisbane and CQ, slightly higher levels of collaboration amongst organisations were recorded during flood periods compared with routine operations; and organisations tended to provide, as well as receive, information and/or resources from their collaborators. Overall, both networks appeared to feature high trust, with only a low level of difficult ties (problematic relationships) being reported.The cultural analyses identified patterns of common values amongst participating organisations. In Brisbane, respondents placed a high value on shared information systems and resources; shared communication and language; as well as on collaboration and flexibility. In the CQ network, there was a greater emphasis on local solutions, community wellbeing and longitudinal issues (such as post-disaster supply chains for recovery). The workshop activities suggested that the current structure of Local Disaster Management Groups was heavily influential on broader network participation; and that defining an ‘effective’ disaster response was a complex issue.This study has demonstrated that a network governance approach can provide new ways of understanding the core elements of adaptive capacity, in areas such as enablers and barriers to adaptation, and translating capacity into adaptation. The key implications for policy and practice include the need for stakeholders to drive adaptation to climate change through collaboration and communication; the need for stakeholders to share a common goal and language; the need for better engagement with community, diversity and Indigenous organisations; the need to establish collaboration outside of disaster events; and the need for network governance systems to play an important role in helping to facilitate climate change adaptation. The areas identified for future research included further methodological development and longitudinal studies of social networks, understanding effective modes of communication, and the influence of the changing nature of regional Australian communities on climate change adaptation