What is the evidence for harm minimisation measures in gambling venues?

What techniques are currently being used for electronic gambling machine harm minimisation, and do they work? Overview The use of electronic gambling machines (EGMs) in Australia and New Zealand constitutes the largest sector of the gambling industry. The costs arising from the harms of gambling detract significantly from its benefits, and in all Australian jurisdictions various policy measures have been implemented to reduce these harms. If successful, these would maximise the net benefits associated with EGM gambling. This article reviews the available evidence for a range of these practices, particularly those implemented within EGM venues via ‘codes of practice’. These codes of practice are intended to give effect to the principles of ‘responsible gambling’ within EGM venues. These measures are: self-exclusion, signage, messages, interaction with gamblers, the removal of ATMs from gambling venues, and ‘responsible gambling’ assessed overall in a venue context. In addition, we review the evidence in support of two major recommendations of the Productivity Commission’s 2010 report into gambling, pre-commitment and one-dollar maximum wagers. We conclude that there is a modest level of evidence supporting some measures, notably self-exclusion and, to a greater extent, the removal of ATMs. There is also some evidence that ‘responsible gambling’ measures have, collectively, reduced the harms associated with gambling. However, there is limited evidence available to confirm the effectiveness of most individual ‘responsible gambling’ measures actually implemented in venues. Further, policy measures implemented outside the control of venues (such as ATM removal, reduction in bet limits, and the prohibition of smoking) appear to be associated with more significant effects, based on analysis of EGM revenue data in Victoria. The evidence for prospective measures is necessarily limited since the ultimate test is post-implementation efficacy, but there is growing evidence to suggest that pre-commitment, one-dollar maximum bets or other machine design changes may yield significantly more effective harm minimisation effects than in-venue practices such as signage or, indeed, self-exclusion. In considering evidence about the effects of existing or prospective measures it is important to emphasise that packages of measures might be more effective than single ones, and that an inability to confirm a statistically significant effect does not mean that no effect exists. Evidence Base, issue 2, 201

Prevalence of mental health conditions and relationship with general health in a whole-country population of people with intellectual disabilities compared with the general population

Background: There are no previous whole-country studies on mental health and relationships with general health in intellectual disability populations; study results vary. Aims: To determine the prevalence of mental health conditions and relationships with general health in a total population with and without intellectual disabilities. Method: Ninety-four per cent completed Scotland’s Census 2011. Data on intellectual disabilities, mental health and general health were extracted, and the association between them was investigated. Results: A total of 26 349/5 295 403 (0.5%) had intellectual disabilities. In total, 12.8% children, 23.4% adults and 27.2% older adults had mental health conditions compared with 0.3, 5.3 and 4.5% of the general population. Intellectual disabilities predicted mental health conditions; odds ratio (OR)=7.1 (95% CI 6.8–7.3). General health was substantially poorer and associated with mental health conditions; fair health OR=1.8 (95% CI 1.7–1.9), bad/very bad health OR=4.2 (95% CI 3.9–4.6). Conclusions: These large-scale, whole-country study findings are important, given the previously stated lack of confidence in comparative prevalence results, and the need to plan services accordingly

Regulatory Resistance?:Narratives and Uses of Evidence around "Black Market" Provision of Gambling during the British Gambling Act Review

Commercial gambling is increasingly viewed as being part of the unhealthy commodities industries, in which products contribute to preventable ill-health globally. Britain has one of the world’s most liberal gambling markets, meaning that the regulatory changes there have implications for developments elsewhere. A review of the British Gambling Act 2005 is underway. This has generated a range of actions by the industry, including mobilising arguments around the threat of the “black market”. We critically explore industry’s framing of these issues as part of their strategy to resist regulatory change during the Gambling Act review. We used a predefined review protocol to explore industry narratives about the “black market” in media reports published between 8 December 2020 and 26 May 2021. Fifty-five articles were identified and reviewed, and themes were narratively synthesised to examine industry framing of the “black market”. The black market was framed in terms of economic threat and loss, and a direct connection was made between its growth and increased regulation. The articles mainly presented gambling industry perspectives uncritically, citing industry-generated evidence (n = 40). Industry narratives around the “black market” speak to economically and emotionally salient concerns: fear, safety, consumer freedom and economic growth. This dominant framing in political, mainstream and industry media may influence political and public opinion to support the current status quo: “protecting” the existing regulated market rather than “protecting” people. Debates should be reframed to consider all policy options, especially those designed to protect public health

On gambling research, social science and the consequences of commercial gambling

Social, political, economic, geographic and cultural processes related to the significant growth of the gambling industries have, in recent years, been the subject of a growing body of research. This body of research has highlighted relationships between social class and gambling expenditure, as well as the design, marketing and location of gambling products and businesses. It has also demonstrated the regressive nature of much gambling revenue, illuminating the influence that large gambling businesses have had on government policy and on researchers, including research priorities, agendas and outcomes. Recently, critics have contended that although such scholarship has produced important insights about the operations and effects of gambling businesses, it is ideologically motivated and lacks scientific rigour. This response explains some basic theoretical and disciplinary concepts that such critique misunderstands, and argues for the value of social, political, economic, geographic and cultural perspectives to the broader, interdisciplinary field of gambling research. © 2017 Informa UK Limited, trading as Taylor & Francis Group. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Angela Rintoul” is provided in this record*

“They loved gambling more than me.” Women’s experiences of gambling related harm as an affected other

BACKGROUND Gambling poses a global threat to public health due to its far-reaching impacts. Research has demonstrated a ripple effect of harmful gambling on social network members and broader communities. While researchers have documented extreme harms associated with an affected other, limited research has qualitatively investigated how women describe their concerns about the gambling of a social network member, and any subsequent negative impacts on their own lives. METHODS An online panel survey was conducted with women aged 18 years and older, who gambled at least once in the last 12 months, and resided in the Australian states of Victoria and New South Wales. This paper focused on the open text responses of a subsection of the sample (n = 136) who reported being negatively impacted by someone else's gambling. The study utilised reflexive thematic analysis to interpret the data. RESULTS Results indicated that women were concerned about the gambling behaviours of a broad range of social network members. Open text responses regarding the nature of these concerns mostly related to individualised paradigms of gambling behaviour - including whether the participant perceived their network member could afford to gamble, was being responsible with their gambling, or were gambling too frequently. Participants experienced a range of negative impacts including significant financial issues, relationship difficulties, poorer emotional wellbeing as a result of worrying about the gambler, and loss of trust. Some described the negative experiences associated with growing up with a parent who gambled. CONCLUSION The research demonstrates the broad impacts of gambling on affected others. This study enhances our understanding of how women are harmed by gambling and considers the complexities of their experiences and relationships with the gambler. This extends knowledge beyond quantitative descriptors of harm among affected others and provides a critical reflection on the nuances of women's experiences with gambling and gambling harm

Age at identification, prevalence and general health of children with autism: observational study of a whole country population

No abstract available

Prevalence of long-term health conditions in adults with autism: observational study of a whole country population

Objectives: To investigate the prevalence of comorbid mental health conditions and physical disabilities in a whole country population of adults aged 25+ with and without reported autism. Design: Secondary analysis of Scotland’s Census, 2011 data. Cross-sectional study. Setting: General population. Participants: 94% of Scotland’s population, including 6649/3 746 584 adults aged 25+ reported to have autism. Main outcome measures: Prevalence of six comorbidities: deafness or partial hearing loss, blindness or partial sight loss, intellectual disabilities, mental health conditions, physical disability and other condition; ORs (95% CI) of autism predicting these comorbidities, adjusted for age and gender; and OR for age and gender in predicting comorbidities within the population with reported autism. Results: Comorbidities were common: deafness/hearing loss—17.5%; blindness/sight loss—12.1%; intellectual disabilities—29.4%; mental health conditions—33.0%; physical disability—30.7%; other condition—34.1%. Autism statistically predicted all of the conditions: OR 3.3 (95% CI 3.1 to 3.6) for deafness or partial hearing loss, OR 8.5 (95% CI 7.9 to 9.2) for blindness or partial sight loss, OR 94.6 (95% CI 89.4 to 100.0) for intellectual disabilities, OR 8.6 (95% CI 8.2 to 9.0) for mental health conditions, OR 6.2 (95% CI 5.8 to 6.6) for physical disability and OR 2.6 (95% CI 2.5 to 2.8) for other condition. Contrary to findings within the general population, female gender predicted all conditions within the population with reported autism, including intellectual disabilities (OR=1.4). Conclusions: Clinicians need heightened awareness of comorbidities in adults with autism to improve detection and suitable care, especially given the added complexity of assessment in this population and the fact that hearing and visual impairments may cause additional difficulties with reciprocal communication which are also a feature of autism; hence posing further challenges in assessment

Prevalence of long-term health conditions in adults with autism:Observational study of a whole country population

Objectives: To investigate the prevalence of comorbid mental health conditions and physical disabilities in a whole country population of adults aged 25+ with and without reported autism. Design: Secondary analysis of Scotland’s Census, 2011 data. Cross-sectional study. Setting: General population. Participants: 94% of Scotland’s population, including 6649/3 746 584 adults aged 25+ reported to have autism. Main outcome measures: Prevalence of six comorbidities: deafness or partial hearing loss, blindness or partial sight loss, intellectual disabilities, mental health conditions, physical disability and other condition; ORs (95% CI) of autism predicting these comorbidities, adjusted for age and gender; and OR for age and gender in predicting comorbidities within the population with reported autism. Results: Comorbidities were common: deafness/hearing loss—17.5%; blindness/sight loss—12.1%; intellectual disabilities—29.4%; mental health conditions—33.0%; physical disability—30.7%; other condition—34.1%. Autism statistically predicted all of the conditions: OR 3.3 (95% CI 3.1 to 3.6) for deafness or partial hearing loss, OR 8.5 (95% CI 7.9 to 9.2) for blindness or partial sight loss, OR 94.6 (95% CI 89.4 to 100.0) for intellectual disabilities, OR 8.6 (95% CI 8.2 to 9.0) for mental health conditions, OR 6.2 (95% CI 5.8 to 6.6) for physical disability and OR 2.6 (95% CI 2.5 to 2.8) for other condition. Contrary to findings within the general population, female gender predicted all conditions within the population with reported autism, including intellectual disabilities (OR=1.4). Conclusions: Clinicians need heightened awareness of comorbidities in adults with autism to improve detection and suitable care, especially given the added complexity of assessment in this population and the fact that hearing and visual impairments may cause additional difficulties with reciprocal communication which are also a feature of autism; hence posing further challenges in assessment

Prevalence of sensory impairments, physical and intellectual disabilities, and mental health in children and young people with self/proxy-reported autism: observational study of a whole country population

This study investigated the comorbid conditions in a whole country population of children/young people aged 0–24 years with and without autism. Data were drawn from Scotland’s Census 2011. We calculated the percentage with autism, their extent of comorbid conditions, odds ratio (with 95% confidence intervals) of autism predicting comorbidities, adjusted for age and gender, and odds ratio for age and gender predicting comorbidities within the cohort with autism. A total of 25,063/1,548,819 (1.6%) had autism: 19,880 (79.3%) males and 5183 (20.7%) females. Autism had an odds ratio of 5.4 (5.1–5.6) for predicting deafness/partial hearing loss, odds ratio of 8.9 (8.1–9.7) for blindness/partial sight loss, odds ratio of 49.7 (38.1–64.9) for intellectual disabilities, odds ratio of 15.7 (13.4–18.5) for mental health conditions, odds ratio of 15.8 (14.1–17.8) for physical disability and odds ratio of 3.9 (3.8–4.0) for other conditions. Females with autism were more likely to have each additional condition than males, including intellectual disabilities, suggesting they may have more severe autism than males and adding evidence that autism may be currently underdiagnosed in more intellectually able females. These conditions are disabling and have a significant impact on long-term quality of life; their coexistence with autism adds extra complexity. It is important to raise clinicians’ awareness of this extent of comorbidity, and to have accurate prevalence data to plan prevention and intervention measures, and to follow health inequality trends