302 resultados para disaster


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Talk of Big Data seems to be everywhere. Indeed, the apparently value-free concept of ‘data’ has seen a spectacular broadening of popular interest, shifting from the dry terminology of labcoat-wearing scientists to the buzzword du jour of marketers. In the business world, data is increasingly framed as an economic asset of critical importance, a commodity on a par with scarce natural resources (Backaitis, 2012; Rotella, 2012). It is social media that has most visibly brought the Big Data moment to media and communication studies, and beyond it, to the social sciences and humanities. Social media data is one of the most important areas of the rapidly growing data market (Manovich, 2012; Steele, 2011). Massive valuations are attached to companies that directly collect and profit from social media data, such as Facebook and Twitter, as well as to resellers and analytics companies like Gnip and DataSift. The expectation attached to the business models of these companies is that their privileged access to data and the resulting valuable insights into the minds of consumers and voters will make them irreplaceable in the future. Analysts and consultants argue that advanced statistical techniques will allow the detection of ongoing communicative events (natural disasters, political uprisings) and the reliable prediction of future ones (electoral choices, consumption)...

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The Climate Commission recently outlined the trend of major extreme weather events in different regions of Australia, including heatwaves, floods, droughts, bushfires, cyclones and storms. These events already impose an enormous health and financial burden onto society and are projected to occur more frequently and intensely. Unless we act now, further financial losses and increasing health burdens seem inevitable. We seek to highlight the major areas for interdisciplinary investigation, identify barriers and formulate response strategies.

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Background: Appropriate disposition of emergency department (ED) patients with chest pain is dependent on clinical evaluation of risk. A number of chest pain risk stratification tools have been proposed. The aim of this study was to compare the predictive performance for major adverse cardiac events (MACE) using risk assessment tools from the National Heart Foundation of Australia (HFA), the Goldman risk score and the Thrombolysis in Myocardial Infarction risk score (TIMI RS). Methods: This prospective observational study evaluated ED patients aged ≥30 years with non-traumatic chest pain for which no definitive non-ischemic cause was found. Data collected included demographic and clinical information, investigation findings and occurrence of MACE by 30 days. The outcome of interest was the comparative predictive performance of the risk tools for MACE at 30 days, as analyzed by receiver operator curves (ROC). Results: Two hundred eighty-one patients were studied; the rate of MACE was 14.1%. Area under the curve (AUC) of the HFA, TIMI RS and Goldman tools for the endpoint of MACE was 0.54, 0.71 and 0.67, respectively, with the difference between the tools in predictive ability for MACE being highly significant [chi2 (3) = 67.21, N = 276, p < 0.0001]. Conclusion: The TIMI RS and Goldman tools performed better than the HFA in this undifferentiated ED chest pain population, but selection of cutoffs balancing sensitivity and specificity was problematic. There is an urgent need for validated risk stratification tools specific for the ED chest pain population.

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The following research reports the emergence of Leptospira borgpetersenii serovar Arborea as the dominant infecting serovar following the summer of disasters and the ensuing clean up in Queensland, Australia during 2011. For the 12 month period (1 January to 31 December) L. borgpetersenii serovar Arborea accounted for over 49% of infections. In response to a flooding event public health officials need to issue community wide announcements warning the population about the dangers of leptospirosis and other water borne diseases. Communication with physicians working in the affected community should also be increased to update physicians with information such as clinical presentation of leptospirosis and other waterborne diseases. These recommendations will furnish public health officials with considerations for disease management when dealing with future disaster management programs.

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The use of volunteer undergraduate students to support simulated training for peers is common in Paramedic Science. However, there are limited examples of engaging paramedic student-volunteers in research as compared to that reported in cognate disciplines such as Medicine and Nursing. This case report shares our experience with engaging a penultimate year paramedic student in evaluation research. This information we hope will start the dialogue on the epistemology and pedagogies for effective engagement of undergraduate paramedic students as future researchers.

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Individuals and communities are exposed to traumatic events, those that are accidents or naturally occurring and those that are intentional or human made. Although resilience is the expected response, for some, posttraumatic stress disorder may be the outcome. Brain models of PTSD require understanding the phenomenology of the disorder and the brain “break down” that occurs. Among several models, importantly, is the perspective that PTSD is a “forgetting” disorder. Other elements in the onset and triggers of PTSD can identify further models to examine at the bench. New studies of the 5-HT2A receptor, the glucocorticoid receptor, p11, mitochondrial genes and cannabinoids are bringing new perspectives to understanding brain function in PTSD. Effective treatments indicate areas for bench research on the mechanisms of the disorder.

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With projected climatic changes it is expected that refugees and other forced migrants will increasingly spend protracted amounts of time in transit countries or will resettle in locations that experience ecological vulnerability. A submission to the Queensland Floods Commission Inquiry 2011 by MDA reported that the floods displaced about 70 refugee client families and that 30 families had ongoing complex needs at the time of the submission. The findings reported in this chapter are derived from a follow-up of a cohort of men from refugee backgrounds who participated in the 2008–10 SettleMEN project. The chapter provides an insight into the experiences of refugee migrants who experience environmental disaster in a site of settlement

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Purpose This paper examines the relationship between flood exposure and levels of social trust among a cohort of adult men from refugee backgrounds who were affected by the 2011 Queensland floods in Australia. Design/methodology/approach A quantitative questionnaire was administered to 141 men from refugee backgrounds almost two years after the 2011 Queensland floods. The survey was administered in person by trained peer in-terviewers, and included a number of standardised instruments assessing respondents’ so-cio-demographic characteristics, levels of social trust towards and from neighbours, the police, the wider Australian community, and the media, and exposure to and impact of the floods. Multiple logistic regression analyses were used to assess the relationship between flood exposure and social trust adjusting for pre-disaster levels of trust and other potentially confounding variables. Findings Participants with higher levels of flood exposure were significantly more likely to report greater levels of trust both towards and from their neighbours, the wider Australian community, and the media, and they were also more likely to believe that most people can be trusted. Research limitations/implications Although the study reports on data collected two years after the floods, the analysis has adjusted for pre-disaster measures of social trust and other socio-demographic variables. Originality/value Our paper has highlighted the important place of social trust and social capital for refugee communities in a post-disaster setting. Disaster responses that support social capital among marginalised populations are critical to increasing community resilience and supporting recovery.

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La creación del término resiliencia en salud es un paso importante hacia la construcción de comunidades más resilientes para afrontar mejor los desastres futuros. Hasta la fecha, sin embargo, parece que hay poca literatura sobre cómo el concepto de resiliencia en salud debe ser definido. Este artículo tiene como objetivo construir un enfoque de gestión de desastres de salud integral guiado por el concepto de resiliencia. Se realizaron busquedas en bases de datos electrónicas de salud para recuperar publicaciones críticas que pueden haber contribuido a los fines y objetivos de la investigación. Un total de 61 publicaciones se incluyeron en el análisis final de este documento, que se centraron en aquéllas que proporcionan una descripción completa de las teorías y definiciones de resiliencia ante los desastres y las que proponen una definición y un marco conceptual para la capacidad de resiliencia en salud. La resiliencia es una capacidad inherente de adaptación para hacer frente a la incertidumbre del futuro. Esto implica el uso de múltiples estrategias, un enfoque de riesgos máximos y tratar de lograr un resultado positivo a través de la vinculación y cooperación entre los distintos elementos de la comunidad. Resiliencia en salud puede definirse como la capacidad de las organizaciones de salud para resistir, absorber, y responder al impacto de los desastres, mientras mantiene las funciones esenciales y se recupera a su estado original o se adapta a un nuevo estado. Puede evaluarse por criterios como la robustez, la redundancia, el ingenio y la rapidez e incluye las dimensiones clave de la vulnerabilidad y la seguridad, los recursos y la preparación para casos de desastre, la continuidad de los servicios esenciales de salud, la recuperación y la adaptación. Este nuevo concepto define las capacidades en gestión de desastres de las organizaciones sanitarias, las tareas de gestión, actividades y resultados de desastres juntos en una visión de conjunto integral, y utiliza un enfoque integrado y con un objetivo alcanzable. Se necesita urgentemente investigación futura de su medición

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Executive Summary Emergency Departments (EDs) locally, nationally and internationally are becoming increasingly busy. Within this context, it can be challenging to deliver a health service that is safe, of high quality and cost-effective. Whilst various models are described within the literature that aim to measure ED ‘work’ or ‘activity’, they are often not linked to a measure of costs to provide such activity. It is important for hospital and ED managers to understand and apply this link so that optimal staffing and financial resourcing can be justifiably sought. This research is timely given that Australia has moved towards a national Activity Based Funding (ABF) model for ED activity. ABF is believed to increase transparency of care and fairness (i.e. equal work receives equal pay). ABF involves a person-, performance- or activity-based payment system, and thus a move away from historical “block payment” models that do not incentivise efficiency and quality. The aim of the Statewide Workforce and Activity-Based Funding Modelling Project in Queensland Emergency Departments (SWAMPED) is to identify and describe best practice Emergency Department (ED) workforce models within the current context of ED funding that operates under an ABF model. The study is comprised of five distinct phases. This monograph (Phase 1) comprises a systematic review of the literature that was completed in June 2013. The remaining phases include a detailed survey of Queensland hospital EDs’ resource levels, activity and operational models of care, development of new resource models, development of a user-friendly modelling interface for ED mangers, and production of a final report that identifies policy implications. The anticipated deliverable outcome of this research is the development of an ABF based Emergency Workforce Modelling Tool that will enable ED managers to profile both their workforce and operational models of care. Additionally, the tool will assist with the ability to more accurately inform adequate staffing numbers required in the future, inform planning of expected expenditures and be used for standardisation and benchmarking across similar EDs. Summary of the Findings Within the remit of this review of the literature, the main findings include: 1. EDs are becoming busier and more congested Rising demand, barriers to ED throughput and transitions of care all contribute to ED congestion. In addition requests by organisational managers and the community require continued broadening of the scope of services required of the ED and further increases in demand. As the population live longer with more lifestyle diseases their propensity to require ED care continues to grow. 2. Various models of care within EDs exist Models often vary to account for site specific characteritics to suit staffing profile, ED geographical location (e.g. metropolitan or rural site), and patient demographic profile (e.g. paediatrics, older persons, ethnicity). Existing and new models implemented within EDs often depend on the target outcome requiring change. Generally this is focussed on addressing issues at the input, throughput or output areas of the ED. Even with models targeting similar demographic or illness, the structure and process elements underpinning the model can vary, which can impact on outcomes and variance to the patient and carer experience between and within EDs. Major models of care to manage throughput inefficiencies include: A. Workforce Models of Care focus on the appropriate level of staffing for a given workload to provide prompt, timely and clinically effective patient care within an emergency care setting. The studies reviewed suggest that the early involvement of senior medical decision maker and/or specialised nursing roles such as Emergency Nurse Practitioners and Clinical Initiatives Nurse, primary contact or extended scope Allied Health Practitioners can facilitate patient flow and improve key indicators such as length of stay and reducing the number of those who did not wait to be seen amongst others. B. Operational Models of Care within EDs focus on mechanisms for streaming (e.g. fast-tracking) or otherwise grouping patient care based on acuity and complexity to assist with minimising any throughput inefficiencies. While studies support the positive impact of these models in general, it appears that they are most effective when they are adequately resourced. 3. Various methods of measuring ED activity exist Measuring ED activity requires careful consideration of models of care and staffing profile. Measuring activity requires the ability to account for factors including: patient census, acuity, LOS, intensity of intervention, department skill-mix plus an adjustment for non-patient care time. 4. Gaps in the literature Continued ED growth calls for new and innovative care delivery models that are safe, clinically effective and cost effective. New roles and stand-alone service delivery models are often evaluated in isolation without considering the global and economic impact on staffing profiles. Whilst various models of accounting for and measuring health care activity exist, costing studies and cost effectiveness studies are lacking for EDs making accurate and reliable assessments of care models difficult. There is a necessity to further understand, refine and account for measures of ED complexity that define a workload upon which resources and appropriate staffing determinations can be made into the future. There is also a need for continued monitoring and comprehensive evaluation of newly implemented workforce modelling tools. This research acknowledges those gaps and aims to: • Undertake a comprehensive and integrated whole of department workforce profiling exercise relative to resources in the context of ABF. • Inform workforce requirements based on traditional quantitative markers (e.g. volume and acuity) combined with qualitative elements of ED models of care; • Develop a comprehensive and validated workforce calculation tool that can be used to better inform or at least guide workforce requirements in a more transparent manner.

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Reporting on death and accidents in regional and rural areas can exact a heavy toll on reporters. News reporters necessarily report on trauma. Overseas correspondents who report from war zones or areas of conflict or natural disaster are often exposed to physical risk and are sometimes required to confront extreme trauma. To an extent reporters embarking on overseas assignments are mentally prepared to face traumatic situations. Their supervisors are more or less aware of the reporter’s isolation and vulnerability...

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Flash flood disasters happen suddenly. The Toowoomba Lockyer Valley flash flood in January 2011 was not forecast by the Bureau of Meteorology until after it had occurred. Domestic and wild animals gave the first warning of the disaster in the days leading up to the event and large animals gave warnings on the morning of the disaster. Twenty-three people, including 5 children in the disaster zone died. More than 500 people were listed as missing. Some of those who died, perished because they stayed in the disaster zone to look after their animals while other members of their family escaped to safety. Some people who were in danger refused to be rescued because they could not take their pets with them. During a year spent recording accounts of the survivors of the disaster, animals were often mentioned by survivors. Despite the obvious perils, people risked their lives to save their animals; people saw animals try to save each other; animals rescued people; people rescued animals; animals survived where people died; animals were used to find human victims in the weeks after the disaster; and animals died. The stories of the flood present challenges for pet owners, farmers, counter disaster planners, weather forecasters and emergency responders in preparing for disasters, responding to them and recovering after them.