Dealing with alcohol-related harm and the night-time economy

Alcohol-related problems are a major cause of social disorder and illness in Australia. In particular, problems associated with the night-time economies of urban and regional centres cause substantial community concern and are a considerable drain on police, community and health resources. The estimated cost of alcohol to the community is $15.3 billion, including costs associated with crime, violence, patient treatment, loss of productivity and premature deaths in 2004&ndash;05 (Collins 2008). Alcohol has also been identified as a factor in around three quarters of assaults and incidents of offensive behaviour on the street (Buss 1995). Previous research has identified several issues that contribute to the levels of short-term harm associated with risky drinking. These include: excessive consumption at licensed premises, consumption in public areas and lack of transport and security in entertainment precincts (Homel et al. 1992; Graham &amp; Homel 2008).Drinking in licensed venues is another predictor of harm and public disorder. More than half of offences occurring on the street have been associated with licensed premises in Australia (Buss 1995). A complex range of factors increase risky drinking and associated harms on licensed premises including: aspects of patron mix; levels of comfort, boredom, and intoxication; promotions that cause mass intoxication; and the behaviour of security/bouncers (Homel et al. 1992). Violence has also been shown to be perpetuated by poor venue management, lax police surveillance, lack of transport options for patrons, and inappropriate bureaucratic controls and legislation (Homel et al. 1992). This project aims to provide evidence-based knowledge regarding the implementation and impact of innovative local initiatives directed at alcohol-related harms.<br /

Dealing with Alcohol-related problems in the Night-Time Economy: A Study Protocol for Mapping trends in harm and stakeholder views surrounding local community level interventions

<p>Abstract</p> <p>Background</p> <p>This project will provide a comprehensive investigation into the prevalence of alcohol-related harms and community attitudes in the context of community-based interventions being implemented to reduce harm in two regional centres of Australia. While considerable experimentation and innovation to address these harms has occurred in both Geelong and Newcastle, only limited ad-hoc documentation and analysis has been conducted on changes in the prevalence of harm as a consequence, leaving a considerable gap in terms of a systematic, evidence-based analysis of changes in harm over time and the need for further intervention. Similarly, little evidence has been reported regarding the views of key stakeholder groups, industry, government agencies, patrons or community regarding the need for, and the acceptability of, interventions to reduce harms. This project will aim to provide evidence regarding the impact and acceptability of local initiatives aimed at reducing alcohol-related harms.</p> <p>Methods/Design</p> <p>This study will gather existing police data (assault, property damage and drink driving offences), Emergency Department presentations and Ambulance attendance data. Further, the research team will conduct interviews with licensed venue patrons and collect observational data of licensed venues. Key informant interviews will assess expert knowledge from key industry and government stakeholders, and a community survey will assess community experiences and attitudes towards alcohol-related harm and harm-reduction strategies. Overall, the project will assess: the extent of alcohol-related harm in the context of harm-reduction interventions, and the need for and acceptability of further intervention.</p> <p>Discussion</p> <p>These findings will be used to improve evidence-based practice both nationally and internationally.</p> <p>Ethical Approval</p> <p>This project has been approved by Deakin University HREC.</p

The Biodiversity of the Mediterranean Sea: Estimates, Patterns, and Threats

The Mediterranean Sea is a marine biodiversity hot spot. Here we combined an extensive literature analysis with expert opinions to update publicly available estimates of major taxa in this marine ecosystem and to revise and update several species lists. We also assessed overall spatial and temporal patterns of species diversity and identified major changes and threats. Our results listed approximately 17,000 marine species occurring in the Mediterranean Sea. However, our estimates of marine diversity are still incomplete as yet—undescribed species will be added in the future. Diversity for microbes is substantially underestimated, and the deep-sea areas and portions of the southern and eastern region are still poorly known. In addition, the invasion of alien species is a crucial factor that will continue to change the biodiversity of the Mediterranean, mainly in its eastern basin that can spread rapidly northwards and westwards due to the warming of the Mediterranean Sea. Spatial patterns showed a general decrease in biodiversity from northwestern to southeastern regions following a gradient of production, with some exceptions and caution due to gaps in our knowledge of the biota along the southern and eastern rims. Biodiversity was also generally higher in coastal areas and continental shelves, and decreases with depth. Temporal trends indicated that overexploitation and habitat loss have been the main human drivers of historical changes in biodiversity. At present, habitat loss and degradation, followed by fishing impacts, pollution, climate change, eutrophication, and the establishment of alien species are the most important threats and affect the greatest number of taxonomic groups. All these impacts are expected to grow in importance in the future, especially climate change and habitat degradation. The spatial identification of hot spots highlighted the ecological importance of most of the western Mediterranean shelves (and in particular, the Strait of Gibraltar and the adjacent Alboran Sea), western African coast, the Adriatic, and the Aegean Sea, which show high concentrations of endangered, threatened, or vulnerable species. The Levantine Basin, severely impacted by the invasion of species, is endangered as well

Learning health systems approach for public health improvement: A case study in school-based physical activity promotion

Background: Learning Health Systems (LHS) – characterised by cycles of evidence generation and application – are increasingly recognised for their potential to improve public health interventions and optimise health impacts; however there is little evidence of their application in the context of public health practice. Here, we describe how an Australian public health unit applied a LHS approach to successfully improve a model of support for school-based policy implementation. Methods: This body of work was undertaken in the context of a strong research-practice partnership. Core LHS capabilities included: stakeholder engagement; workforce capacity; networks and learning communities; scientific expertise; data systems for evidence generation; and governance and decision making. Three cycles of data generation and application were used. Within each cycle, randomised and controlled trials conducted in schools were used to generate data on the support model’s effectiveness for improving schools’ policy implementation, delivery costs, and process measures such as adoption and acceptability. Each type of data was analysed independently, synthesised, and then presented to a multi-disciplinary team of researchers and practitioners, in consult with stakeholders, who then made decisions for incremental improvements to the support model. Results: Cycle 1 tested the first version of the support model (composed of five implementation strategies) and showed the model’s feasibility and efficacy for improving schools’ policy implementation. Data-informed changes were made to enhance impact, including the addition of three implementation strategies to address outstanding barriers. Cycle 2 (now, testing a package of eight implementation strategies) established the model’s effectiveness and cost-effectiveness for improving school's policy implementation. Data-informed changes were made to reduce delivery costs, specifically adapting the most costly strategies to reduce in-person contact from external support personnel. Cycle 3 showed that the adaptations minimised the relative cost of delivery without adversely impacting on the effect. Conclusions: Through this process, we identified an effective, cost-effective, acceptable and scalable policy implementation support model for service delivery. This provides important information to inform or support LHS approaches for other agencies seeking to optimise the health impact of evidence-based interventions

Learning Health System to rapidly improve the implementation of a school physical activity policy

Abstract Background Learning Health Systems (LHS) – characterised by cycles of evidence generation and application – are increasingly recognised for their potential to improve public health interventions and optimise health impacts; however there is little evidence of their application in the context of public health practice. Here, we describe how an Australian public health unit applied a LHS approach to successfully improve a model of support for implementation of a school-based physical activity policy. Methods This body of work was undertaken in the context of a strong research-practice partnership. Core LHS capabilities included: i) partnerships and stakeholder engagement; ii) workforce development and learning health communities; iii) multi-disciplinary scientific expertise; iv) practice data collection and management system; v) evidence surveillance and synthesis; and vi) governance and organisational processes of decision making. Three cycles of data generation and application were used. Within each cycle, randomised controlled trials conducted in NSW primary schools were used to generate data on the support model’s effectiveness for improving schools’ implementation of a government physical activity policy, its delivery costs, and process measures such as adoption and acceptability. Each type of data were analysed independently, synthesised, and then presented to a multi-disciplinary team of researchers and practitioners, in consult with stakeholders, leading to collaborative decisions for incremental improvements to the support model. Results Cycle 1 tested the first version of the support model (composed of five implementation strategies targeting identified barriers of policy implementation) and showed the model’s feasibility and efficacy for improving schools’ policy implementation. Data-informed changes were made to enhance impact, including the addition of three implementation strategies to address outstanding barriers. Cycle 2 (now, testing a package of eight implementation strategies) established the model’s effectiveness and cost-effectiveness for improving school's policy implementation. Data-informed changes were made to reduce delivery costs, specifically adapting the costliest strategies to reduce in-person contact from external support personnel. Cycle 3 showed that the adaptations minimised the relative cost of delivery without adversely impacting on the effect. Conclusions Through this process, we identified an effective, cost-effective, acceptable and scalable policy implementation support model for service delivery. This provides important information to inform or support LHS approaches for other agencies seeking to optimise the health impact of evidence-based interventions