Editorial

The 2nd International Digital Human Modeling (DHM) Symposium was held at the renowned University of Michigan Transportation Research Institute (UMTRI) in Ann Arbor, Michigan in June 11–13, 2013. The symposium was co-organised by the UMTRI and Penn State University, and endorsed by the IEA Technical Committee on Human Simulation and Virtual Environments. The conference built on the very successful inaugural event DHM2011 held in Lyon two years before; and a decade of digital human modelling conferences held under the auspices of SAE International. Practitioners and scientists from 13 countries gathered to present their state-of-the-art developments and applied research, besides discussing the most recent advances in human modelling and directions for future work in DHM...

Tactics for teaching evidence-based practice : improving self-efficacy in finding and appraising evidence in a master's evidence-based practice unit

Universal application of evidence-based practice (EBP) is far from a reality with many clinicians feeling ill equipped to adopt this approach in their clinical practice (Melnyk Fineout- Overholt, Feinstein, Sadler, & Green-Hernandez, 2008; Sherriff, Wallis, & Chaboyer, 2007) and, thus, to be an intelligent consumer of evidence (Ciliska, 2005). While recognizing the benefit of EBP, many health professionals have low confidence in their skills for using evidence in clinical settings (Nagy, Lumby, McKinley, &Macfarlane, 2001). Educational initiatives are often recommended for promoting adoption of EBP with much of the focus being on providing knowledge of associated processes. Levin, Melnyk, Fineout-Overholt, Barnes, and Vetter (2011) demonstrated that providing knowledge of EBP process alone does not increase clinicians’ confidence in their ability to apply EBP to their practice...

Applying for funding is the worst part of my job

That’s what one researcher told us when we asked them about applying for NHMRC Project Grant funding. Others said that applying for funding had made them ill, lost them friends, ruined Christmas and caused arguments with friends and family. What makes applying for funding so bad? We’ve tried to summarise the problems with the system in the diagram above. This is based on our group’s four years of research into the funding process. Some of the arrows are based on evidence from our surveys (Survey 1, Survey 2), others are based on anecdote or experience and so maybe wrong. Please let me know if I’ve missed an arrow or an issue.

Sources of productivity growth in health services : a case study of Queensland public hospitals

Improving the performance of health sector is one of the most popular issues in Australia. This paper contributes to this important policy debate by examining the efficiency of health facilities in Queensland using the Malmquist Productivity Index (MPI). This method is selected because it is suitable for the multi-input, multi-output, and not-for-profit natures of public health services. In addition, with the availability of panel data we can decompose productivity growth into useful components, including technical efficiency changes, technological changes and scale changes. The results revealed an average of 1.6 per cent of growth in total factor productivity (TFP) among Queensland public hospitals in the study period. The main component contributing to the modest improvement of TFP during the period was catching-up at an average of 1.0 per cent. SFA estimates suggest that the number of nurses is the most influential determinant of output.

Emerging water treatment technologies for decentralised systems : an overview of selected systems suited for application in towns and settlements in remote and very remote regions of Australia and vulnerable and lagging rural regions in Sri Lanka

The primary purpose of this paper is to overview a selection of advanced water treatment technology systems that are suited for application in towns and settlements in remote and very remote regions of Australia and vulnerable and lagging rural regions in Sri Lanka. This recognises that sanitation and water treatment are inextricably linked and both are needed to reduce risks to environment and population health from contaminated water sources. For both Australia and Sri Lanka only a small fraction of the settlements in rural and remote regions are connected to water treatment facilities and town water supplies. In Australia’s remote/very remote regions raw water is drawn from underground sources and rainwater capture. Most settlements in rural Sri Lanka rely on rivers, reservoirs, wells, springs or carted water. Furthermore, Sri Lanka has more than 25,000 hand pumped tube wells which saved the communities during recent droughts. Decentralised water supply systems offer the opportunity to provide safe drinking water to these remote/very remote and rural regions where centralised systems are not feasible due to socio-cultural, economic, political, technological reasons. These systems reduce health risks from contaminated water supplies. In remote areas centralized systems fail due to low population density and less affordability. Globally, a new generation of advanced water treatment technologies are positioned to make a major impact on the provision of safe potable water in remote/very remote regions in Australia and rural regions in Sri Lanka. Some of these systems were developed for higher income countries. However, with careful selection and further research they can be tailored to match local socio-economic conditions and technical capacity. As such, they can equally be used to provide decentralised water supply in communities in developed and developing countries such as Australia and Sri Lanka.

The effects of parental illness and other ill family members on youth caregiving experiences

Informed by a model of family role-redistribution derived from the Family Ecology Framework (Pedersen & Revenson, 2005), this study examined differences in two proposed psychological components of role-redistribution (youth caregiving experiences and responsibilities) between youth of a parent with illness and their peers from ‘healthy’ families controlling for the effects of whether a parent is ill or some other family member, illness type, and demographics. Based on self-report questionnaire data, four groups of Australian children were derived from a community sample of 2474youth (‘healthy’ family, n=1768; parental illness, n=336; other family member illness, n=254; both parental and other family member illness, n=116). The presence of any family member with a serious illness is associated with an intensification of youth caregiving experiences relative to peers from healthy families. This risk is elevated if the ill family member is a parent, if more illnesses are present, and by certain youth and family demographics, and especially by higher caregiving responsibilities. The presence of a family member, particularly a parent, with a serious medical condition has pervasive increased effects on youth caregiving compared to healthy families, and these effects are not fully accounted for by illness type, demographics or caregiving responsibilities.

Determination of the levels of Polybrominated Diphenylethers (PBDEs) in pooled blood sera obtained from Australians aged 31-45 years

Polybrominated diphenylethers (PBDEs) are widely used as flame retardants in polymer materials, textiles, electronic boards and various other materials. Technical PBDE preparations are produced as mixtures of mainly penta-, octa- or decabrombiphenyl ethers1,2. PBDEs are structurally similar to other environmental pollutants like dioxins and PCBs, they are lipophilic and persistent compounds and are widespread in the environment. To date, no information is available on the levels of PBDEs in human serum in Australia. In 2003, more than 9000 blood samples were collected in Australia as part of the National Dioxins Program. The aim of this study was to evaluate PBDE concentrations in these samples, focusing on one age group.

Machine learning approaches to analysing textual injury surveillance data: A systematic review

Objective To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. Design Systematic review. Data sources The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique. Selection criteria For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data. Methods The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed. Results Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed. Conclusions The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.

Discovering future disaster management capability needs using scenario planning

In recent years disaster risk reduction efforts have focused on disturbances ranging from climate variability, seismic hazards, geo-political instability and public and animal health crises. These factors combined with uncertainty derived from inter-dependencies within and across systems of critical infrastructure create significant problems of governance for the private and public sector alike. The potential for rapid spread of impacts, geographically and virtually, can render a comprehensive understanding of disaster response and recovery needs and risk mitigation issues beyond the grasp of competent authority. Because of such cascading effects communities and governments at local and state-levels are unlikely to face single incidents but rather series of systemic impacts: often appearing concurrently. A further point to note is that both natural and technological hazards can act directly on socio-technical systems as well as being propagated by them: as network events. Such events have been categorised as ‘outside of the box,’ ‘too fast,’ and ‘too strange’ (Lagadec, 2004). Emergent complexities in linked systems can make disaster effects difficult to anticipate and recovery efforts difficult to plan for. Beyond the uncertainties of real world disasters, that might be called familiar or even regular, can we safely assume that the generic capability we use now will suit future disaster contexts? This paper presents initial scoping of research funded by the Bushfire and Natural Hazards Cooperative Research Centre seeking to define future capability needs of disaster management organisations. It explores challenges to anticipating the needs of representative agencies and groups active in before, during and after phases of emergency and disaster situations using capability deficit assessments and scenario assessment.

The good, the bad, and the efficient: Productivity, efficiency, and technical change in the airline industry, 2004–11

This study models the joint production of desirable and undesirable output production (that is, CO2 emissions) of airlines. The Malmquist–Luenberger productivity index is employed to measure productivity growth when undesirable output production is incorporated into the production model. The results show that pollution abatement activities of airlines lowers productivity growth, which suggests that the traditional approach of measuring productivity growth, which ignores CO2 emissions, overstates ‘true’ productivity growth. The reliability of the results is also tested and verified using confidence intervals based on bootstrapping.

Perceived safety, quality and cultural competency of maternity care for culturally and linguistically diverse women in Queensland

Various policies, plans, and initiatives have been implemented to provide safe, quality, and culturally competent care to patients within Queensland’s healthcare system. A series of models of maternity care are available in Queensland that range from standard public care to private midwifery care. The current study aimed to determine whether identifying as Culturally or Linguistically Diverse (CALD) was associated with the perceived safety, quality, and cultural competency of maternity care from a consumer perspective, and to identify specific needs and preferences of CALD maternity care consumers. Secondary analysis of data collected in the Having a Baby in Queensland Survey 2012 was used to compare the experiences of 655 CALD women to those of 4049 non-CALD women in Queensland, Australia, across three stages of maternity care: pregnancy, labour and birth, and after birth. After adjustment for model of maternity care received and socio-demographic characteristics, CALD women were significantly more likely than non-CALD women to experience suboptimal staff technical competence in pregnancy, overall perceived safety in pregnancy and labour/birth, and interpersonal sensitivity in pregnancy and labour/birth. Approximately 50% of CALD women did not have the choice to use a translator or interpreter, or the gender of their care provider, during labour and birth. Thirteen themes of preferences and needs of CALD maternity care consumers based on ethnicity, cultural beliefs, or traditions were identified, however, these were rarely met. Findings imply that CALD women in Queensland experience disadvantageous maternity care with regards to perceived staff technical competence, safety, and interpersonal sensitivity, and receive care that lacks cultural competence. Improved access to support persons, continuity and choice of carer, and staff availability and training is recommended.

Beyond survivorship? A discursive analysis of how people with pancreatic cancer negotiate identity transitions in their health

We explored how people negotiate, and respond to, identity transitions following a diagnosis of pancreatic cancer. Interviews with 19 people with pancreatic cancer were analysed using thematic discourse analysis. While discursively negotiating two transitions, “moving from healthy to ill��� and “moving from active treatment to end-of-life care”, participants positioned themselves as “in control”, “optimistic” and managing their health and illness. In the absence of other discourses or “models” of life post-cancer, many people draw on the promise of survival. Moving away from “survivorship” may assist people with advanced cancer to make sense of their lives in a short timeframe.

Biomarkers of exercise-induced myocardial stress in relation to inflammatory and oxidative stress

Increased concentrations of biomarkers reflecting myocardial stress such as cardiac troponin I and T and brain natriuretic peptide (BNP) have been observed following strenuous, long-lasting endurance exercise. The pathophysiological mechanisms are still not fully elucidated and the interpretations of increased post-exercise concentrations range from (i) evidence for exercise-induced myocardial damage to (ii) non-relevant spurious troponin elevations, presumably caused by assay imprecision or heterophilic antibodies. Several lines of evidence suggest that inflammatory processes or oxidative stress could be involved in the rise of NT-proBNP and Troponin observed in critically ill patients with sepsis or burn injury. We tested the hypothesis that inflammatory or oxidative stress is also responsible for exercise-induced cardiomyocyte strain in a large cohort of triathletes following an Ironman triathlon. However, the post-race increase in cardiac troponin T and NT-proBNP was not associated with several markers of exercise-induced inflammation, oxidative stress or antioxidant vitamins. Therefore, we clearly need more studies with other inflammatory markers and different designs to elucidate the scientific background for increases in myocardial stress markers following strenuous endurance events.