An observational study of health professionals’ use of evidence to inform the development of clinical management tools

Aim. This observational study sought to investigate the process of evidence use by health professionals during development of evidence-based clinical management tools.

Background. Studies conducted to explore the process of research use are scarce and knowledge of this process is essential for our understanding of the influences on research use in practice.

Design. A qualitative, non-participant, observational design.

Methods. Behaviour and actions of two separate multidisciplinary teams were observed and audio-recorded during a combined total of seven meetings for the development of clinical management tools. Semi-structured, one-to-one interviews were conducted approximately half-way through the development process and following completion of the clinical management tools.

Results. Three major themes emerged from this research. First, the process of clinical management tool development and evidence use. Nurses assumed responsibility for coordination of development which focused on describing current practice. Second, the forms of evidence employed during the development process included the use of experiential knowledge, opinions and knowledge of the context, in addition to research evidence. However, reference to research evidence was limited and its incorporation into the instrument was infrequently observed. Third, the use of research evidence emerged with respect to how such evidence was employed.

Conclusion. This study focused on real-life discussion and decision-making that occurred between health professionals when developing evidence-based clinical management tools. Health professionals may have a tendency to rely on their professional experience and current practice in preference to seeking and applying relevant research evidence.

Relevance to clinical practice. Nurses have an important role to play in the development of multidisciplinary evidence-based clinical management tools, but to actively participate in this process they need to be familiar with the relevant research evidence and have the skills and confidence to integrate the evidence into practice.

Enhancing Knowledge Sharing with Information and Communication Technology (ICT)

The acceleration of technological change and trade liberalization in the 1990s have significantly intensified market competition and transformed the world economic infrastructure from a resource- and manufacturing-based economy to one in which knowledge and services are the key drivers of economic growth. In order for an organization to capitalize on its knowledge and truly become a learning organization, it must begin to systematically manage and leverage knowledge existing internally and externally to create and sustain its competitive advantage. Numerous empirical studies on knowledge management have examined the relative effectiveness of various enablers, such as organizational structure, technology, culture, managerial system and strategy on knowledge creation and sharing in organizations. The enablers examined earlier are mostly related to organizational infrastructure that promotes knowledge sharing in organizations. This paper examines specifically the critical role of information and communication technology (ICT) in facilitating and enhancing knowledge sharing and organizational performance. This study adopted a process oriented approach by using Nonaka’s (1994) knowledge sharing model. The results indicate that significant positive effects of ICT support on knowledge sharing and all dimensions of knowledge sharing are significant predictors of organizational performance.

Producing the market for alcohol : the Victorian example

This article analyses three important inquiries into alcohol licensing in Victoria from 1965 to 1986. It argues that each inquiry was directed to produce a market for alcohol, but the 1986 inquiry, in particular, was directed to produce the conditions for the Night-time Economy. Since the mid-twentieth century, Victoria was considered a bell weather state in relation to alcohol licensing and this was increasingly the case when it comes to the state retreating from control over licensing conditions. From the end of six o'clock closing to the 24 hour city, the inquiries transformed the issues related to alcohol from the problems associated with alcohol consumption to the treatment of alcohol as just another consumer commodity.

Marketing planning : operationalising the market orientation strategy

Despite strong empirical validation of the relationship between market orientation and business performance, the literature is inconclusive on the implementation of the strategy. This paper reviews the implementation of market orientation, and investigates the associations between market orientation and marketing planning and their associations with business performance. A survey of 216 Australian larger business organisations was conducted to find evidence of these relationships. The results highlight a close association between market orientation and marketing planning, with virtually the same level of association between them, and the business performance measures used. This evidence suggests that they arguably represent the same domain. The results suggest that marketing practitioners may use the marketing planning technique as an intangible productive resource to operationalise the market orientation strategy, and use it to design a specific style and magnitude of market orientation suitable for an organisation.

Inter-relationships between innovation and market orientation in SMEs

Purpose – This study aims to explore the nature of the interactions between two strategies, innovation and market orientation. By examining the components of these constructs the paper seeks to identify key components of market orientation that are antecedent factors of the innovation performance of the firm.

Design/methodology/approach – Correlation analysis was undertaken on data from a survey of 73 manufacturing firms in the Greater Western Sydney economic development zone in Australia. The data were supplemented by information obtained from the firm's annual reports.

Findings – Innovation was found to be positively correlated to market orientation (customer orientation, competitor orientation and inter-functional co-ordination) and both of these constructs were found to be positively correlated to firm performance and the degree of change in the firm's competitive environment.

Research limitations/implications – Possible limitations are: the low survey response rate; the nature of the sampled population; and the spread of industries involved, which could limit the generalisability of the results. The next steps will be to conduct deeper analysis into the factors that make up the subscales of the two constructs and to determine how market orientation or its associated activities interact with the innovation process.

Practical implications – In order to maximize a firm's financial performance, organizations should increase both their market orientation and their innovation activities as these factors operate synergistically.

Originality/value – This study is arguably the first to establish the finding that the degree of change in the competitive environment and the level of market orientation are linked, and the identification of the components of market orientation that are linked to firm innovation. These findings suggest that firm innovation and firm market orientation are strategic reactions to changes in the firm's competitive environment.

The decomposition of housing market variations : a panel data approach

Purpose – This paper develops a new decomposition method of the housing market variations to analyse the housing dynamics of the Australian eight capital cities.
Design/methodology/approach – This study reviews the prior research on analysing the housing market variations and classifies the previous methods into four main models. Based on this, the study develops a new decomposition of the variations, which is made up of regional information, homemarket information and time information. The panel data regression method, unit root test and F test are adopted to construct the model and interpret the housing market variations of the Australian capital cities.
Findings – This paper suggests that the Australian home-market information has the same elasticity to the housing market variations across cities and time. In contrast, the elasticities of the regional information are distinguished. However, similarities exit in the west and north of Australia or the south and east of Australia. The time information contributes differently along the observing period, although the similarities are found in certain periods.
Originality/value – This paper introduces the housing market variation decomposition into the research of housing market variations and develops a model based on the new method of the housing market variation decomposition.

Knowledge discovery in data streams

Knowing what to do with the massive amount of data collected has always been an ongoing issue for many organizations. While data mining has been touted to be the solution, it has failed to deliver the impact despite its successes in many areas. One reason is that data mining algorithms were not designed for the real world, i.e., they usually assume a static view of the data and a stable execution environment where resources are abundant. The reality however is that data are constantly changing and the execution environment is dynamic. Hence, it becomes difficult for data mining to truly deliver timely and relevant results. Recently, the processing of stream data has received many attention. What is interesting is that the methodology to design stream-based algorithms may well be the solution to the above problem. In this entry, we discuss this issue and present an overview of recent works.

Advanced graph mining methods for protein analysis

As one of the primary substances in a living organism, protein defines the character of each cell by interacting with the cellular environment to promote the cell’s growth and function [1]. Previous studies on proteomics indicate that the functions of different proteins could be assigned based upon protein structures [2,3]. The knowledge on protein structures gives us an overview of protein fold space and is helpful for the understanding of the evolutionary principles behind structure. By observing the architectures and topologies of the protein families, biological processes can be investigated more directly with much higher resolution and finer detail. For this reason, the analysis of protein, its structure and the interaction with the other materials is emerging as an important problem in bioinformatics. However, the determination of protein structures is experimentally expensive and time consuming, this makes scientists largely dependent on sequence rather than more general structure to infer the function of the protein at the present time. For this reason, data mining technology is introduced into this area to provide more efficient data processing and knowledge discovery approaches.

Unlike many data mining applications which lack available data, the protein structure determination problem and its interaction study, on the contrary, could utilize a vast amount of biologically relevant information on protein and its interaction, such as the protein data bank (PDB) [4], the structural classification of proteins (SCOP) databases [5], CATH databases [6], UniProt [7], and others. The difficulty of predicting protein structures, specially its 3D structures, and the interactions between proteins as shown in Figure 6.1, lies in the computational complexity of the data. Although a large number of approaches have been developed to determine the protein structures such as ab initio modelling [8], homology modelling [9] and threading [10], more efficient and reliable methods are still greatly needed.

In this chapter, we will introduce a state-of-the-art data mining technique, graph mining, which is good at defining and discovering interesting structural patterns in graphical data sets, and take advantage of its expressive power to study protein structures, including protein structure prediction and comparison, and protein-protein interaction (PPI). The current graph pattern mining methods will be described, and typical algorithms will be presented, together with their applications in the protein structure analysis.

The rest of the chapter is organized as follows: Section 6.2 will give a brief introduction of the fundamental knowledge of protein, the publicly accessible protein data resources and the current research status of protein analysis; in Section 6.3, we will pay attention to one of the state-of-the-art data mining methods, graph mining; then Section 6.4 surveys several existing work for protein structure analysis using advanced graph mining methods in the recent decade; finally, in Section 6.5, a conclusion with potential further work will be summarized.

Explaining organizational investment in CRM point solutions

This paper asks why organisations invest in non-integrated CRM point solutions when many of the benefits of enterprise systems are claimed to be due to integration of processes and information. This paper identifies six factors that explain why organisations invest in CRM point solutions: reduced risk; lower cost; quick benefits realization; low integration ability, low interdependence of business units, and high business-unit differentiation. The evidence suggests that when interdependence between parts of an organization is low, possibly due to one unit producing a clearly differentiated product, the attractions of lower risk, lower cost, and/or faster access to the benefits are likely to induce organizations to adopt CRM point solutions. The contribution of this study is that it recognizes that, and explains why, it is not always optimal for organizations to adopt integrated CRM solutions.

Major grass pollen allergen Lol p 1 binds to diesel exhaust particles : implications for asthma and air pollution

Background Grass pollen allergens are known to be present in the atmosphere in a range of particle sizes from whole pollen grains (approx. 20 to 55 μim in diameter) to smaller size fractions < 2.5 μ (fine particles, PM2.5). These latter particles are within the respirable range and include allergen-containing starch granules released from within the grains into the atmosphere when grass pollen ruptures in rainfall and are associated with epidemics of thunderstorm asthma during the grass pollen season. The question arises whether grass pollen allergens can interact with other sources of fine particles, particularly those present during episodes of air pollution.

Objective We propose the hypothesis that free grass pollen allergen molecules, derived from dead or burst grains and dispersed in microdroplets of water in aerosols, can bind to fine particles in polluted air.

Methods We used diesel exhaust carbon particles (DECP) derived from the exhaust of a stationary diesel engine, natural highly purified Lol p 1, immunogold labelling with specific monoclonal antibodies and a high voltage transmission electron -microscopic imaging technique

Results DECP are visualized as small carbon spheres, each 30–60 nm in diameter, forming fractal aggregates about 1–2μ in diameter. Here we test our hypothesis and show by in vitro experiments that the major grass pollen allergen, Lol p I. binds to one defined class of fine particles, DECP.

Conclusion DECP are in the respirable size range, can bind to the major grass pollen allergen Lol p I under in vitro conditions and represent a possible mechanism by which allergens can become concentrated in polluted air and thus trigger attacks of asthma.

Inside guide to getting published

In this seminar Dr Georgina Kelly gave useful advice to Higher Degree students and early career researchers on “When to publish what during your PhD; publishing in conferences and journals; impact versus reputation; and how to get your paper read by others’. Professor Terry Evans spoke of the importance of ‘Being strategic about publishing with(in) a thesis: the public and accessible nature of contemporary PhD theses and the implications for publishing during candidature and for subsequent publications’. In her presentation, ‘Transitioning: riding the wave’, Associate Professor Karen Stagnitti’s drew on her experiences as an HDR student and Early Career Researcher, raising the importance of recognizing opportunities for presenting at conferences, networking and publishing. Associate Professor Rohan Bastin, discussed benefits of ‘Developing pragmatic and rewarding publishing strategies; strategies and opportunities for having multiple publication projects on the go; tailoring one's output to the esteem criteria relevant to disciplines as well as one's own esteem criteria relevant to one's specialist area’.

A further development in social marketing application of the MOA framework and behavioral implications

This social marketing study discusses the application of Rothschild’s MOA framework (Motivation, Opportunity, and Ability) in a land-use management context. The authors hypothesize that landholders with higher levels of MOA are positively associated with behavior that would result in the effective control of a vertebrate pest (the European rabbit). A random sample of 566 land managers in southeastern Australia was obtained. The development of scales associated with this study were the result of intensive qualitative research, including focus groups, in-depth interviews, and a thorough review of secondary resources. The scales were developed through a factor analytic process and were piloted and pre-tested before being used.

From the study it is ascertained that about one-third of land managers fall into the highest level of effective behavior, and for the remainder, social marketing interventions, using marketing, education, and the law, could be applied to changebehavior. The study provides evidence that Rothschild’s theoretical MOA framework can be applied to a social market and thus provides guidance on the types of interventions that may be effective in altering behavior. The MOA framework also provides a mechanism for segmentation that can be used to describe various markets and gives direction to the interventions that may be effective in altering behavior.

Volatility spillover between New Zealand stock market returns and exchange rate changes before and after the 1997 Asian financial crisis

Researchers in the last decade have been investigating the interdependence of stock returns and exchange rate changes within the same economy. Kanas (2000) and Yang and Doong (2004) find that for the G-7 countries, in general, the volatility of the stock market spills over to the exchange rate market but that volatility spillovers from the exchange rate market to the stock market are insignificant. Chen, Naylor, and Lu (2004) find that NZ individual firm returns are significantly exposed to exchange rate changes. This study complements their work by investigating the volatility spillover between the stock market and the foreign exchange market within the NZ economy.

A Ramsar wetland in crisis the Coorong, Lower Lakes and Murray Mouth, Australia

The state of global freshwater ecosystems is increasingly parlous with water resource development degrading high-conservation wetlands. Rehabilitation is challenging because necessary increases in environmental flows have concomitant social impacts, complicated because many rivers flow between jurisdictions or countries. Australia's MurrayDarling Basin is a large river basin with such problems encapsulated in the crisis of its Ramsar-listed terminal wetland, the Coorong, Lower Lakes and Murray Mouth. Prolonged drought and upstream diversion of water dropped water levels in the Lakes below sea level (20092010), exposing hazardous acid sulfate soils. Salinities increased dramatically (e.g. South Lagoon of Coorong>200gL-1, cf. modelled natural 80gL-1), reducing populations of waterbirds, fish, macroinvertebrates and littoral plants. Calcareous masses of estuarine tubeworms (Ficopomatus enigmaticus) killed freshwater turtles (Chelidae) and other fauna. Management primarily focussed on treating symptoms (e.g. acidification), rather than reduced flows, at considerable expense (≥AU$2 billion). We modelled a scenario that increased annual flows during low-flow periods from current levels up to one-third of what the natural flow would have been, potentially delivering substantial environmental benefits and avoiding future crises. Realisation of this outcome depends on increasing environmental flows and implementing sophisticated river management during dry periods, both highly contentious options.

A cluster-randomized controlled trial to reduce sedentary behavior and promote physical activity and health of 8-9 year olds : the transform-us! study

Background: Physical activity (PA) is associated with positive cardio-metabolic health and emerging evidence suggests sedentary behavior (SB) may be detrimental to children’s health independent of PA. The primary aim of the Transform-Us! study is to determine whether an 18-month, behavioral and environmental intervention in the school and family settings results in higher levels of PA and lower rates of SB among 8-9 year old children compared with usual practice (post-intervention and 12-months follow-up). The secondary aims are to determine the independent and combined effects of PA and SB on children’s cardio-metabolic health risk factors; identify the factors that mediate the success of the intervention; and determine whether the intervention is cost-effective.
Methods/design: A four-arm cluster-randomized controlled trial (RCT) with a 2 × 2 factorial design, with schools as the unit of randomization. Twenty schools will be allocated to one of four intervention groups, sedentary behavior (SB-I), physical activity (PA-I), combined SB and PA (SB+PA-I) or current practice control (C), which will be evaluated among approximately 600 children aged 8-9 years in school year 3 living in Melbourne, Australia. All children in year 3 at intervention schools in 2010 (8-9 years) will receive the intervention over an 18-month period with a maintenance ‘booster’ delivered in 2012 and children at all schools will be invited to participate in the evaluation assessments. To maximize the sample and to capture new students arriving at intervention and control schools, recruitment will be on-going up to the post-intervention time point. Primary outcomes are time spent sitting and in PA assessed via accelerometers and inclinometers and survey.
Discussion: To our knowledge, Transform-Us! is the first RCT to examine the effectiveness of intervention strategies for reducing children’s overall sedentary time, promoting PA and optimizing health outcomes. The integration of consistent strategies and messages to children from teachers and parents in both school and family settings is a critical component of this study, and if shown to be effective, may have a significant impact on educational policies as well as on pedagogical and parenting practices.