Perspectives from gambling expert stakeholders in relation to electronic gaming machines in New Zealand.

Electronic gaming machines (EGMs) are one of the most addictive and harmful forms of gambling. Gaming machine characteristics, easy accessibility of EGMs and normalisation of gambling behaviour have exacerbated these effects. We conducted a pilot study investigating the perspectives of gambling expert stakeholders on gambling harm and effective harm-minimisation policies regarding EGMs. In-depth individual interviews were undertaken with 14 health professionals working in the addiction sector, academics in the field of gambling and individuals from a range of government and non-government organisations who have an impact on gambling policy making in New Zealand. Five major themes were identified: the need to shift focus from problematic people to the problematic product, the need for a holistic approach to gambling intervention, focus on creating an empowered population, and improving protective factors and refining public health initiatives to gambling harm. The results suggest the need to challenge current narratives of EGM-related gambling harm and have wide-ranging implications for EGM harm minimisation and health promotion policies.

Concurrent Disorders and Decision-Making in Electronic Gaming Machine Gamblers.

This study aimed to investigate the self-reported measures of concurrent disorders (stress, social anxiety, anxiety, depression and alcohol use) among electronic gaming machine (EGM) gamblers with varying levels of gambling severity and to examine its relationship to decision-making. This cross-sectional study in New Zealand involved an online survey that utilised validated questionnaires to assess self-reported measures of concurrent disorders and the Iowa gambling task (IGT) to analyse decision-making. The study comprised of active EGM gamblers (n = 153) who were divided into two groups: non-problem gambling (NPG, n = 71) and problem gambling (PG, n = 82) based on the cut-off point of the South Oaks Gambling Screen (SOGS). Multiple logistic regression models were performed to analyse co-occurring disorders separately and simultaneously, and a log-linear model was developed to define the associations between significant variables. The first model showed a strong correlation between gambling severity and measures for depression (p < 0.01), anxiety (p < 0.05), stress (p < 0.05) and alcohol use (p < 0.01), however only depression (p < 0.05) and alcohol use (p < 0.01) remained significant in the second model. Further, no association between social anxiety scores and problem gambling was found in this sample of EGM gamblers in both models. On the IGT, EGM gamblers in the PG group performed significantly worse. Further, the presence of poor decision-making was more pronounced with higher depression scores (p < 0.01) across both NPG and PG groups and higher alcohol use scores (p < 0.05) scores in the PG group. The presence of high levels of co-occurring disorders and its link to poor decision-making are important considerations in the treatment paradigm of EGM problem gamblers.

Evaluating quantity and quality of literature focusing on health economics and pharmacoeconomics in Gulf Cooperation Council countries.

BACKGROUND: The importance of pharmacoeconomics and health economics has been augmented. It has the potential to provide evidence to aid in optimal decision-making in the funding of cost-effective medicines and services in Gulf Cooperation Council countries (G.C.C). OBJECTIVE: To evaluate the quality and quantity of health economic researches published until the end of 2017 in G.C.C. and to identify the factors that affect the quality of studies. METHOD: Studies were included according to predefined inclusion and exclusion criteria. The quantity was recorded, and the quality was assessed using the Quality of Health Economic Studies (QHES) instrument. RESULTS: Forty-nine studies were included. The mean (SD) quality score of all studies was 57.83 (25.05), and a high number of reviewed studies (47%) were evaluated as either poor or extremely poor quality. The factors that affect the quality of studies with statistical significance were, the type and method of economic evaluation, the economic outcome was the objective of the research, author`s background, the perspective of the study, health intervention and source of funding. CONCLUSION: The use of economic evaluation studies in G.C.C was limited. Different factors that affect the quality of articles such as performing a full economic evaluation and choosing societal perspective were identified. Strategies to improve the quality of future studies were recommended.