Substitute addiction: a concern for researchers and practitioners

An understanding of the role of substitute addictions remains unclear. This article examines the range and possible reward functions of substitute addictions. We suggest that prevention education and treatment need to take into account substitute addictions as an influential aspect ofrecovery. Research is needed to better understand the prevalence and functions of, and solutions to substitute addictions.     

Training the Future Workforce: Social Workers in Integrated Health Care Settings

The current study explored social work skills and competencies required for work on integrated health care teams. Semi-structured, qualitative individual interviews were conducted with social workers employed in integrated health care settings. Key themes emerged around existing social work strengths, further training that is needed for this work, and fundamental skills for effective team-based collaboration. Incorporation of content, such as the social work role in integrated health care settings, advocacy in team-based treatment delivery, and incorporating medical knowledge into the social work curriculum are key to strengthening the future workforce. Education strategies can include not only infusion of integrated health care material into existing courses but also micro- and macro-specific elective courses and a range of interprofessional learning opportunities.     

A concise history of school-based smoking prevention research: a pendulum effect case study

School-based cigarette smoking prevention was initiated shortly after the first Surgeon General's Report in 1964. This article highlights a sequence of events by which school-based tobacco use prevention research developed as a science, and illustrates a pendulum effect, with confidence in tobacco use prevention increasing and decreasing at/different points in time. Suggestions are offered to advance school-based smoking prevention research.     

A Systems Approach to the Policy‐Level Risk Assessment of Exotic Animal Diseases: Network Model and Application to Classical Swine Fever

Exotic animal diseases (EADs) are characterized by their capacity to spread global distances, causing impacts on animal health and welfare with significant economic consequences. We offer a critique of current import risk analysis approaches employed in the EAD field, focusing on their capacity to assess complex systems at a policy level. To address the shortcomings identified, we propose a novel method providing a systematic analysis of the likelihood of a disease incursion, developed by reference to the multibarrier system employed for the United Kingdom. We apply the network model to a policy‐level risk assessment of classical swine fever (CSF), a notifiable animal disease caused by the CSF virus. In doing so, we document and discuss a sequence of analyses that describe system vulnerabilities and reveal the critical control points (CCPs) for intervention, reducing the likelihood of U.K. pig herds being exposed to the CSF virus.     

A CGE Framework for Modeling the Economics of Flooding and Recovery in a Major Urban Area

Coastal cities around the world have experienced large costs from major flooding events in recent years. Climate change is predicted to bring an increased likelihood of flooding due to sea level rise and more frequent severe storms. In order to plan future development and adaptation, cities must know the magnitude of losses associated with these events, and how they can be reduced. Often losses are calculated from insurance claims or surveying flood victims. However, this largely neglects the loss due to the disruption of economic activity. We use a forward‐looking dynamic computable general equilibrium model to study how a local economy responds to a flood, focusing on the subsequent recovery/reconstruction. Initial damage is modeled as a shock to the capital stock and recovery requires rebuilding that stock. We apply the model to Vancouver, British Columbia by considering a flood scenario causing total capital damage of $14.6 billion spread across five municipalities. GDP loss relative to a no‐flood scenario is relatively long‐lasting. It is 2.0% ($2.2 billion) in the first year after the flood, 1.7% ($1.9 billion) in the second year, and 1.2% ($1.4 billion) in the fifth year.     

Missing data techniques for multilevel data: implications of model misspecification

When modeling multilevel data, it is important to accurately represent the interdependence of observations within clusters. Ignoring data clustering may result in parameter misestimation. However, it is not well established to what degree parameter estimates are affected by model misspecification when applying missing data techniques (MDTs) to incomplete multilevel data. We compare the performance of three MDTs with incomplete hierarchical data. We consider the impact of imputation model misspecification on the quality of parameter estimates by employing multiple imputation under assumptions of a normal model (MI/NM) with two-level cross-sectional data when values are missing at random on the dependent variable at rates of 10%, 30%, and 50%. Five criteria are used to compare estimates from MI/NM to estimates from MI assuming a linear mixed model (MI/LMM) and maximum likelihood estimation to the same incomplete data sets. With 10% missing data (MD), techniques performed similarly for fixed-effects estimates, but variance components were biased with MI/NM. Effects of model misspecification worsened at higher rates of MD, with the hierarchical structure of the data markedly underrepresented by biased variance component estimates. MI/LMM and maximum likelihood provided generally accurate and unbiased parameter estimates but performance was negatively affected by increased rates of MD.     

Importance sampling for partially observed temporal epidemic models

Statistics and Computing - We present an importance sampling algorithm that can produce realisations of Markovian epidemic models that exactly match observations, taken to be the number of a single...     

The ethics of gambling: guidelines for players and commercial providers

Current academic and popular debate on gambling rarely focuses on the ethics of gambling, but concentrates on narrower questions of social impact. This article suggests a philosophical foundation for the ethical provision of gambling services. It argues from a moral realist base while paying close attention to the concrete facts of present policy and practice. The article identifies certain objectively good reasons for gambling. Having established gambling is not wrong per se, it advances generic principles that gamblers and gambling providers should follow in order to act ethically. From these generic principles are derived applied principles from which, in turn, operational norms for actual gambling businesses can be articulated. The article concludes that gambling can be offered and chosen in ethically acceptable ways, but that this will require a major shift in self-conception by the gambling industry.     

A Descriptive Study of Home Modifications for People with Dementia and Barriers to Implementation

This study describes home environmental features, safety issues, and health-related modifications in a community dwelling sample of 82 elderly people with dementia. Main barriers to the accessibility of the homes were steps, both inside and outside the house. The majority of the caregivers had made home modifications, which pertained mainly to physical limitations. Home modifications to support cognitive deficits were made to a lesser extent. The main barrier to the implementation of home modifications to accommodate the care recipient's memory loss was skepticism about their usefulness. Regarding the removal of physical barriers, financial constraints were most frequently mentioned.