ChatGPT for Automated Qualitative Research: Content Analysis.

BACKGROUND: Data analysis approaches such as qualitative content analysis are notoriously time and labor intensive because of the time to detect, assess, and code a large amount of data. Tools such as ChatGPT may have tremendous potential in automating at least some of the analysis. OBJECTIVE: The aim of this study was to explore the utility of ChatGPT in conducting qualitative content analysis through the analysis of forum posts from people sharing their experiences on reducing their sugar consumption. METHODS: Inductive and deductive content analysis were performed on 537 forum posts to detect mechanisms of behavior change. Thorough prompt engineering provided appropriate instructions for ChatGPT to execute data analysis tasks. Data identification involved extracting change mechanisms from a subset of forum posts. The precision of the extracted data was assessed through comparison with human coding. On the basis of the identified change mechanisms, coding schemes were developed with ChatGPT using data-driven (inductive) and theory-driven (deductive) content analysis approaches. The deductive approach was informed by the Theoretical Domains Framework using both an unconstrained coding scheme and a structured coding matrix. In total, 10 coding schemes were created from a subset of data and then applied to the full data set in 10 new conversations, resulting in 100 conversations each for inductive and unconstrained deductive analysis. A total of 10 further conversations coded the full data set into the structured coding matrix. Intercoder agreement was evaluated across and within coding schemes. ChatGPT output was also evaluated by the researchers to assess whether it reflected prompt instructions. RESULTS: The precision of detecting change mechanisms in the data subset ranged from 66% to 88%. Overall κ scores for intercoder agreement ranged from 0.72 to 0.82 across inductive coding schemes and from 0.58 to 0.73 across unconstrained coding schemes and structured coding matrix. Coding into the best-performing coding scheme resulted in category-specific κ scores ranging from 0.67 to 0.95 for the inductive approach and from 0.13 to 0.87 for the deductive approaches. ChatGPT largely followed prompt instructions in producing a description of each coding scheme, although the wording for the inductively developed coding schemes was lengthier than specified. CONCLUSIONS: ChatGPT appears fairly reliable in assisting with qualitative analysis. ChatGPT performed better in developing an inductive coding scheme that emerged from the data than adapting an existing framework into an unconstrained coding scheme or coding directly into a structured matrix. The potential for ChatGPT to act as a second coder also appears promising, with almost perfect agreement in at least 1 coding scheme. The findings suggest that ChatGPT could prove useful as a tool to assist in each phase of qualitative content analysis, but multiple iterations are required to determine the reliability of each stage of analysis.

Assessing gambling disorder using frequency- and time-based response options: A Rasch analysis of the gambling disorder identification test.

OBJECTIVES: The Gambling Disorder Identification Test (GDIT) is a recently developed self-report measure. The GDIT includes items with multiple response options that are either based on frequency or time, and item response theory evaluations of these could yield vital knowledge on its measurement performance. METHODS: The GDIT was evaluated using Rasch analysis in a study involving 597 Swedish gamblers. RESULTS: In a three-dimensional Rasch model, the item response difficulty range extended from -1.88 to 4.06 and increased with higher time- and frequency-based responses. Differential item functioning showed that some GDIT items displayed age and gender-related differences. Additionally, person-separation reliability indicated the GDIT could reliably be divided into three to four diagnostic levels. CONCLUSIONS: The frequency- and time-based item response options of the GDIT offer excellent measurement, allowing for elaborate assessment across both lower and higher gambling severity. The GDIT can be used to detect DSM-5 Gambling Disorder, thereby holding significance from both epidemiological and clinical standpoints. Notably, the 3-item GDIT Gambling Behavior subscale also shows potential as a brief screening tool for identifying at-risk gambling behavior.

The COVID-19 lockdown experience suggests that restricting the supply of gambling can reduce gambling problems: An Australian prospective study.

Background and aims: COVID-19 lockdowns limited access to gambling but simultaneously elevated psychosocial stressors. This study assessed the relative effects of these changes on gambling risk status during and after the Australian COVID-19 lockdown from late-March to late-May 2020. Methods: The study administered three surveys to people who had gambled within the past year at T1. Wave 1 asked about before (T1, N = 2,125) and during lockdown (T2, N = 2,125). Subsequent surveys focused on one year (T3; N = 649) and two years after lockdown (T4, N = 458). The dependent variable was changes in reporting any problem gambling symptoms (PGSI 0 vs 1+). Bivariate analyses and multinomial logistic regression tested for significant associations with: demographics, psychosocial stressors (perceived stress, psychological distress, loneliness, health anxiety about COVID, financial hardship, stressful life events), gambling participation and gambling frequency. Results: Gambling participation and at-risk gambling decreased between T1 and T2, increased at T3, with little further change at T4. When gambling availability was curtailed, decreased gambling frequency on EGMs, casino games, sports betting or race betting, and lower psychosocial stress, were associated with transitions from at-risk to non-problem gambling. When gambling availability resumed, increased EGM gambling frequency, decreased online gambling frequency, and higher psychosocial stress were associated with transitions from non-problem to at-risk gambling. Discussion and conclusions: Gambling availability appears a stronger influence on gambling problems, at the population level, than psychosocial risk factors. Reducing the supply of high-risk gambling products, particularly EGMs, is likely to reduce gambling harm.

Gambling Harm Experienced by Children Exposed to Parental Gambling: An Online Survey of Australians.

Although child wellbeing is known to be negatively affected by gambling, relatively little is known about the specific harms experienced by children exposed to parental gambling problems. The current study aimed to better understand gambling harm directly attributed to regular parental gambling in key areas of child wellbeing: financial, psychological, interpersonal wellbeing and intergenerational transmission of problem gambling. Using data from a national survey of Australian adults exposed to parental gambling under the age of 18 (n = 211), the results show that parental gambling was related significant levels of financial harm, abuse, neglect as well as relational and psychological problems as a direct result of parental gambling. The likelihood of experiencing gambling harms was positively associated with parental problem gambling severity. Harmful impacts of parental gambling as a child were also associated with a range of psychological problems in adulthood including depression, anxiety, Post-Traumatic Stress Disorder and intimate partner violence victimisation. Parental problem gambling severity was negatively associated with own lifetime gambling problems, suggesting a specific pattern of intergenerational transmission of problem gambling in children of regular, or heavy, gamblers. This research highlights the need for more supports for families with children in which at least one parent gambles regularly.

Applying the Just-In-Time Adaptive Intervention Framework to the Development of Gambling Interventions.

Just-In-Time Adaptive Interventions (JITAIs) are emerging "push" mHealth interventions that provide the right type, timing, and amount of support to address the dynamically-changing needs for each individual. Although JITAIs are well-suited to the delivery of interventions for the addictions, few are available to support gambling behaviour change. We therefore developed GamblingLess: In-The-Moment and Gambling Habit Hacker, two smartphone-delivered JITAIs that differ with respect to their target populations, theoretical underpinnings, and decision rules. We aim to describe the decisions, methods, and tools we used to design these two treatments, with a view to providing guidance to addiction researchers who wish to develop JITAIs in the future. Specifically, we describe how we applied a comprehensive, organising scientific framework to define the problem, define just-in-time in the context of the identified problem, and formulate the adaptation strategies. While JITAIs appear to be a promising design in addiction intervention science, we describe several key challenges that arose during development, particularly in relation to applying micro-randomised trials to their evaluation, and offer recommendations for future research. Issues including evaluation considerations, integrating on-demand intervention content, intervention optimisation, combining active and passive assessments, incorporating human facilitation, adding cost-effectiveness evaluations, and redevelopment as transdiagnostic interventions are discussed.

Electronic gaming machine accessibility and gambling problems: A natural policy experiment.

Background: Electronic gaming machines (EGMs) are one of the most harmful forms of gambling at an individual level. It is unclear whether restriction of EGM functions and accessibility results in meaningful reductions in population-level gambling harm. Methods: A natural policy experiment using a large (N = 15,000) national dataset weighted to standard population variables was employed to compare estimates of gambling problems between Australian residents in Western Australia (WA), where EGMs are restricted to one venue and have different structural features, to residents in other Australian jurisdictions where EGMs are widely accessible in casinos, hotels and clubs. Accessibility of other gambling forms is similar across jurisdictions. Results: Gambling participation was higher in WA, but EGM participation was approximately half that of the rest of Australia. Aggregate gambling problems and harm were about one-third lower in WA, and self-reported attribution of harm from EGMs by gamblers and affected others was 2.7× and 4× lower, respectively. Mediation analyses found that less frequent EGM use in WA accounted for the vast majority of the discrepancy in gambling problems (indirect path = -0.055, 95% CI -0.071; -0.038). Moderation analyses found that EGMs are the form most strongly associated with problems, and the strength of this relationship did not differ significantly across jurisdictions. Discussion: Lower harm from gambling in WA is attributable to restricted accessibility of EGMs, rather than different structural features. There appears to be little transfer of problems to other gambling forms. These results suggest that restricting the accessibility of EGMs substantially reduces gambling harm.

Lived Experience Performance to Reduce Stigma, Enhance Understanding of Gambling Harm and Change Attitudes and Behaviours of Professionals and Community Members.

Gamblers and their family members or friends (affected others) can experience stigma and shame due to gambling which can result in a reluctance to seek timely support. However, gamblers and affected others access intersecting health services and talk to friends or family, thereby providing opportunities for early intervention. Three sides of the coin is a group of storytellers with lived experience of gambling harm who use dramatic performance to share personal stories to enhance the understanding of gambling-related harm in allied professions and the broader community. They do this to encourage attitude and behaviour change so that gamblers and affected others receive empathy and support during encounters with these groups. A mixed-methods study was used to explore whether these performances were successful in increasing understanding and changing attitudes and behaviour of allied professionals and the community in the short and longer-term. Data collected immediately post-performance revealed that performances increased understanding of gambling, and improved attitudes and behavioural intent of audience members in relation to gamblers and affected others. Professionals also reported an increased willingness and confidence to discuss gambling harm with clients. Follow-up data demonstrated potential longer-term impact, with respondents continuing to report more positive attitudes towards those affected by gambling harm and professionals being confident to explore gambling issues in their clients and provide appropriate referrals. These finding demonstrate that performance based on lived experience can be a powerful education tool, encouraging deep connection to the issue, resulting in a nuanced understanding and sustained attitudinal and behavioural change.

Identifying the most important research, policy and practice questions for substance use, problematic alcohol use and behavioural addictions in autism (SABA-A): A priority setting partnership.

BACKGROUND: Autistic people are more likely to report problematic alcohol and other substance use when compared to the general population. Evidence suggests that up to one in three autistic adults may have an alcohol or other substance use disorder (AUD/SUD), although the evidence base for behavioural addictions is less clear. Autistic people may use substances or engage in potentially addictive behaviours as a means of coping with social anxiety, challenging life problems, or camouflaging in social contexts. Despite the prevalence and detrimental effects of AUD, SUD and behavioural addictions in community samples, literature focusing on the intersection between autism and these conditions is scarce, hindering health policy, research, and clinical practice. METHODS: We aimed to identify the top 10 priorities to build the evidence for research, policy, and clinical practice at this intersection. A priority-setting partnership was used to address this aim, comprising an international steering committee and stakeholders from various backgrounds, including people with declared lived experience of autism and/or addiction. First, an online survey was used to identify what people considered key questions about Substance use, alcohol use, or behavioural addictions in autistic people (SABA-A). These initial questions were reviewed and amended by stakeholders, and then classified and refined to form the final list of top priorities via an online consensus process. OUTCOMES: The top ten priorities were identified: three research, three policy, and four practice questions. Future research suggestions are discussed.

Unambiguous evidence that over half of gambling problems in Australia are caused by electronic gambling machines: Results from a large-scale composite population study.

Background and aims: It is well understood that engagement with some forms of gambling, like EGMs, is riskier than other forms. However, while reports of associations are common, few studies have attempted to evaluate and compare the relative risk of all available forms, and none have estimated the relative contribution of each form to the total burden of gambling problems (GP) in a population. Methods: Using an aggregated dataset of national and state-based prevalence studies in Australia (N = 71,103), we estimated prevalence and unique effects of frequency of engagement on each form on GP. Two alternative numerical methods were then applied to infer the relative contribution of each form to the total amount of GP. Results: EGMs are responsible for 51%-57% of gambling problems in Australia, and 90% of gambling problems are attributable to EGMs, casino, race, and sports betting. Casino table games and EGMs are equally risky at the individual level, but the former contribute far less to problems due to low participation. Bingo and lottery play show no statistically detectable risk for GP. Discussion and conclusion: The results illustrate which forms present the greatest population burden and illuminate the reasons why. EGMs have an outsized impact. EGM uniquely combines high risk conditional on play, with a high participation rate and a high frequency of play among participants. This is in contrast to risky but less commonly played casino games, and prevalent but non-risky forms like lotteries. We conclude that EGM regulation should be a primary focus of policy action in Australia. More innovative policy ideas relating to EGMs should be tested due to the disproportionate impact of this product type.

Pharmacological interventions for the treatment of disordered and problem gambling.

BACKGROUND: Pharmacological interventions for disordered and problem gambling have been employed in clinical practice. Despite the availability of several reviews of the efficacy of pharmacological interventions for disordered or problem gambling, few have employed systematic search strategies or compared different categories of pharmacological interventions. Systematic reviews of high-quality evidence are therefore essential to provide guidance regarding the efficacy of different pharmacological interventions for disordered or problem gambling. OBJECTIVES: The primary aims of the review were to: (1) examine the efficacy of major categories of pharmacological-only interventions (antidepressants, opioid antagonists, mood stabilisers, atypical antipsychotics) for disordered or problem gambling, relative to placebo control conditions; and (2) examine the efficacy of these major categories relative to each other.  SEARCH METHODS: We searched the Cochrane Common Mental Disorders Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL), Ovid MEDLINE, Embase, and PsycINFO (all years to 11 January 2022). SELECTION CRITERIA: We included randomised trials evaluating a pharmacological intervention for the treatment of disordered or problem gambling. Eligible control conditions included placebo control groups or comparisons with another category of pharmacological intervention. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures, including systematic extraction of included study characteristics and results and risk of bias assessment. Our primary outcome was reduction in gambling symptom severity. Our secondary outcomes were reduction in gambling expenditure, gambling frequency, time spent gambling, depressive symptoms, anxiety symptoms, and functional impairment; and responder status. We evaluated treatment effects for continuous and dichotomous outcomes using standardised mean difference (SMD) and risk ratios (RR), respectively, employing random-effects meta-analyses. A minimum of two independent treatment effects were required for a meta-analysis to be conducted (with only meta-analytic findings reported in this abstract). MAIN RESULTS: We included 17 studies in the review (n = 1193 randomised) that reported outcome data scheduled for end of treatment. Length of treatment ranged from 7 to 96 weeks.  Antidepressants: Six studies (n = 268) evaluated antidepressants, with very low to low certainty evidence suggesting that antidepressants were no more effective than placebo at post-treatment: gambling symptom severity (SMD -0.32, 95% CI -0.74 to 0.09, n = 225), gambling expenditure (SMD -0.27, 95% CI -0.60 to 0.06, n = 144), depressive symptoms (SMD -0.19, 95% CI -0.60 to 0.23, n = 90), functional impairment (SMD -0.15, 95% CI -0.53 to 0.22, n = 110), and responder status (RR 1.24, 95% CI 0.93 to 1.66, n = 268). Opioid antagonists: Four studies (n = 562) evaluated opioid antagonists, with very low to low certainty evidence showing a medium beneficial effect of treatment on gambling symptom severity relative to placebo at post-treatment (SMD -0.46, 95% CI -0.74 to -0.19, n = 259), but no difference between groups in responder status (RR 1.65, 95% CI 0.86 to 3.14, n = 562). Mood stabilisers: Two studies (n = 71) evaluated mood stabilisers (including anticonvulsants), with very low certainty evidence suggesting that mood stabilisers were no more effective than placebo at post-treatment: gambling symptom severity (SMD -0.92, 95% CI -2.24 to 0.39, n = 71), depressive symptoms (SMD -0.15, 95% CI -1.14 to 0.83, n = 71), and anxiety symptoms (SMD -0.17, 95% CI -0.64 to 0.30, n = 71). Atypical antipsychotics:Two studies (n = 63) evaluated the atypical antipsychotic olanzapine, with very low certainty evidence showing a medium beneficial effect of treatment on gambling symptom severity relative to placebo at post-treatment (SMD -0.59, 95% CI -1.10 to -0.08, n = 63). Comparative effectiveness: Two studies (n = 62) compared antidepressants with opioid antagonists, with very low certainty evidence indicating that antidepressants were no more effective than opioid antagonists on depressive symptoms (SMD 0.22, 95% CI -0.29 to 0.72, n = 62) or anxiety symptoms (SMD 0.21, 95% CI -0.29 to 0.72, n = 62) at post-treatment. Two studies (n = 58) compared antidepressants with mood stabilisers (including anticonvulsants), with very low certainty evidence indicating that antidepressants were no more effective than mood stabilisers on depressive symptoms (SMD 0.02, 95% CI -0.53 to 0.56, n = 58) or anxiety symptoms (SMD 0.16, 95% CI -0.39 to 0.70, n = 58) at post-treatment. Tolerability and adverse events: Several common adverse effects were reported by participants receiving antidepressants (e.g. headaches, nausea, diarrhoea/gastrointestinal issues) and opioid antagonists (e.g. nausea, dry mouth, constipation). There was little consistency in the types of adverse effects experienced by participants receiving mood stabilisers (e.g. tiredness, headaches, concentration difficulties) or atypical antipsychotics (e.g. pneumonia, sedation, increased hypomania). Discontinuation of treatment due to these adverse events was highest for opioid antagonists (10% to 32%), followed by antidepressants (4% to 31%), atypical antipsychotics (14%), and mood stabilisers (13%). AUTHORS' CONCLUSIONS: This review provides preliminary support for the use of opioid antagonists (naltrexone, nalmefene) and atypical antipsychotics (olanzapine) to produce short-term improvements in gambling symptom severity, although a lack of available evidence precludes a conclusion regarding the degree to which these pharmacological agents can improve other gambling or psychological functioning indices. In contrast, the findings are inconclusive with regard to the effects of mood stabilisers (including anticonvulsants) in the treatment of disordered or problem gambling, and there is limited evidence to support the efficacy of antidepressants. However, these conclusions are based on very low to low certainty evidence characterised by a small number of included studies, high risk of bias, modest pooled sample sizes, imprecise estimates, moderate between-study heterogeneity, and exclusion of participants with psychiatric comorbidities. Moreover, there were insufficient studies to conduct meta-analyses on many outcome measures; to compare efficacy across and within major categories of interventions; to explore dosage effects; or to examine effects beyond post-treatment. These limitations suggest that, despite recommendations related to the administration of opioid antagonists in the treatment of disordered or problem gambling, pharmacological interventions should be administered with caution and with careful consideration of patient needs. A larger and more methodologically rigorous evidence base with longer-term evaluation periods is required before definitive conclusions can be drawn about the effectiveness and durability of pharmacological treatments for disordered or problem gambling.

How structural changes in online gambling are shaping the contemporary experiences and behaviours of online gamblers: an interview study.

BACKGROUND: Over the last decade, the provision of online gambling has intensified with increased access, enhanced betting markets, a broader product range, and prolific marketing. However, little research has explored how this intensification is influencing contemporary gambling experiences. This study focused on two research questions: 1) What changes in online gambling have online gamblers observed over the past decade? 2) How have these changes influenced the online gambling experiences and behaviours reported by treatment-seeking and non-treatment-seeking gamblers? METHODS: Two samples of Australian adults were interviewed: 1) 19 people who had been gambling online for at least a decade and with no history of treatment-seeking for online gambling, and 2) 10 people who had recently sought professional help for an online gambling problem. Telephone interviews were semi-structured, with questions that encouraged participants to consider how their online gambling, including any harmful gambling, had been influenced by changes in operator practices and online gambling environments. Data were analysed using thematic analysis. RESULTS: Both treatment- and non-treatment-seekers noted the increased speed and ease of online gambling, which now enables instant access from anywhere at any time and increased their gambling opportunities. Both groups highlighted the continued proliferation of advertising and inducements for online gambling, particularly during televised sports and racing events, in social media, and through targeted push marketing. Many treatment- and non-treatment-seekers were aware of the vast range of recently introduced bet types, particularly multi-bets. Treatment-seekers disproportionately reported negative effects from these changes, and described how and why they fostered their increased gambling, impulsive gambling, persistence and loss-chasing. They reported limited uptake and effectiveness of current harm minimisation tools. CONCLUSIONS: Counter to stated policy and practice objectives to minimise gambling harm, industry changes that have made online gambling easier, faster, and more heavily incentivised, and increased the array of complex bets with poorer odds, unduly affect addicted and harmed individuals - who are also the most profitable customers. Further consideration is needed to ensure gambling policy, industry practices and public health measures more effectively reduce gambling harm in contemporary settings. Inducements and the poor pricing of complex bets such as multi-bets, and their outsized attraction to players with problems, should be a key focus.

A Gambling Just-In-Time Adaptive Intervention (GamblingLess: In-The-Moment): Protocol for a Microrandomized Trial.

BACKGROUND: The presence of discrete but fluctuating precipitants, in combination with the dynamic nature of gambling episodes, calls for the development of tailored interventions delivered in real time, such as just-in-time adaptive interventions (JITAIs). JITAIs leverage mobile and wireless technologies to address dynamically changing individual needs by providing the type and amount of support required at the right time and only when needed. They have the added benefit of reaching underserved populations by providing accessible, convenient, and low-burden support. Despite these benefits, few JITAIs targeting gambling behavior are available. OBJECTIVE: This study aims to redress this gap in service provision by developing and evaluating a theoretically informed and evidence-based JITAI for people who want to reduce their gambling. Delivered via a smartphone app, GamblingLess: In-The-Moment provides tailored cognitive-behavioral and third-wave interventions targeting cognitive processes explicated by the relapse prevention model (cravings, self-efficacy, and positive outcome expectancies). It aims to reduce gambling symptom severity (distal outcome) through short-term reductions in the likelihood of gambling episodes (primary proximal outcome) by improving craving intensity, self-efficacy, or expectancies (secondary proximal outcomes). The primary aim is to explore the degree to which the delivery of a tailored intervention at a time of cognitive vulnerability reduces the probability of a subsequent gambling episode. METHODS: GamblingLess: In-The-Moment interventions are delivered to gamblers who are in a state of receptivity (available for treatment) and report a state of cognitive vulnerability via ecological momentary assessments 3 times a day. The JITAI will tailor the type, timing, and amount of support for individual needs. Using a microrandomized trial, a form of sequential factorial design, each eligible participant will be randomized to a tailored intervention condition or no intervention control condition at each ecological momentary assessment across a 28-day period. The microrandomized trial will be supplemented by a 6-month within-group follow-up evaluation to explore long-term effects on primary (gambling symptom severity) and secondary (gambling behavior, craving severity, self-efficacy, and expectancies) outcomes and an acceptability evaluation via postintervention surveys, app use and engagement indices, and semistructured interviews. In all, 200 participants will be recruited from Australia and New Zealand. RESULTS: The project was funded in June 2019, with approval from the Deakin University Human Research Ethics Committee (2020-304). Stakeholder user testing revealed high acceptability scores. The trial began on March 29, 2022, and 84 participants have been recruited (as of June 24, 2022). Results are expected to be published mid-2024. CONCLUSIONS: GamblingLess: In-The-Moment forms part of a suite of theoretically informed and evidence-based web-based and mobile gambling interventions. This trial will provide important empirical data that can be used to facilitate the JITAI's optimization to make it a more effective, efficient, and scalable tailored intervention. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12622000490774; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380757&isClinicalTrial=False. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/38958.

Global prevalence of help-seeking for problem gambling: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Multiple studies have examined barriers and facilitators to help-seeking, but the prevalence of help-seeking for problem gambling (PG) is not well established. We aimed to estimate the international prevalence of help-seeking for PG among the general population and among subgroups of people at risk for PG (i.e. low-risk, moderate-risk and PG). METHODS: Systematic search of grey literature (through gambling repositories, gambling research institutes and Google) and peer-reviewed literature (through ProQuest, PsycINFO, PubMed and Scopus) for gambling prevalence studies that reported on help-seeking for PG. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analyses. Studies used representative sampling methods to determine the prevalence of gambling participation and data collection 2010 onward. Twenty-four studies met the inclusion criteria. The main outcome was population prevalence of help-seeking for PG. Help-seeking was defined as any intentional action to change gambling behaviours, including professional services (inclusive of in-person or distance help), non-professional help (e.g. from family and friends) and self-help. Subgroup analyses were conducted to explain variability in help-seeking prevalence estimates. RESULTS: Measurement of help-seeking was inconsistent across included studies and, overall, there was high risk of bias. We estimated a general population help-seeking prevalence for PG of 0.23% (95% CI, 0.16-0.33). Prevalence estimates were significantly higher in studies assessing lifetime (0.50%; 95% CI, 0.35-0.71) compared with current help-seeking (0.14%; 95% CI, 0.10-0.20, P < 0.001), but there was no evidence of difference in prevalence estimates by gambling participation, region, type of help-seeking, or year of data collection. Compared with people with low-risk gambling (0.27%; 95% CI, 0.07%-1.04%), prevalence estimates were significantly higher in those with moderate-risk (3.73%; 95% CI, 2.07%-6.63%) and problem gambling (20.63%; 95% CI, 12.89%-31.35%, P < 0.001). CONCLUSIONS: One in 25 moderate-risk gamblers and 1 in 5 people with problem gambling have sought help for problems related to their gambling.

Smartphone App Delivery of a Just-In-Time Adaptive Intervention for Adult Gamblers (Gambling Habit Hacker): Protocol for a Microrandomized Trial.

BACKGROUND: People with gambling problems frequently report repeated unsuccessful attempts to change their behavior. Although many behavior change techniques are available to individuals to reduce gambling harm, they can be challenging to implement or maintain. The provision of implementation support tailored for immediate, real-time, individualized circumstances may improve attempts at behavior change. OBJECTIVE: We aimed to develop and evaluate a Just-In-Time Adaptive Intervention (JITAI) for individuals who require support to adhere to their gambling limits. JITAI development is based on the principles of the Health Action Process Approach with delivery, in alignment with the principles of self-determination theory. The primary objective was to determine the effect of action- and coping planning compared with no intervention on the goal of subsequently adhering to gambling expenditure limits. METHODS: Gambling Habit Hacker is delivered as a JITAI providing in-the-moment support for adhering to gambling expenditure limits (primary proximal outcome). Delivered via a smartphone app, this JITAI delivers tailored behavior change techniques related to goal setting, action planning, coping planning, and self-monitoring. The Gambling Habit Hacker app will be evaluated using a 28-day microrandomized trial. Up to 200 individuals seeking support for their own gambling from Australia and New Zealand will set a gambling expenditure limit (ie, goal). They will then be asked to complete 3 time-based ecological momentary assessments (EMAs) per day over a 28-day period. EMAs will assess real-time adherence to gambling limits, strength of intention to adhere to goals, goal self-efficacy, urge self-efficacy, and being in high-risk situations. On the basis of the responses to each EMA, participants will be randomized to the control (a set of 25 self-enactable strategies containing names only and no implementation information) or intervention (self-enactable strategy implementation information with facilitated action- and coping planning) conditions. This microrandomized trial will be supplemented with a 6-month within-group follow-up that explores the long-term impact of the app on gambling expenditure (primary distal outcome) and a range of secondary outcomes, as well as an evaluation of the acceptability of the JITAI via postintervention surveys, app use and engagement indices, and semistructured interviews. This trial has been approved by the Deakin University Human Research Ethics Committee (2020-304). RESULTS: The intervention has been subject to expert user testing, with high acceptability scores. The results will inform a more nuanced version of the Gambling Habit Hacker app for wider use. CONCLUSIONS: Gambling Habit Hacker is part of a suite of interventions for addictive behaviors that deliver implementation support grounded in lived experience. This study may inform the usefulness of delivering implementation intentions in real time and in real-world settings. It potentially offers people with gambling problems new support to set their gambling intentions and adhere to their limits. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12622000497707; www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383568. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38919.

Gambling-related harms to concerned significant others: A national Australian prevalence study.

Background and aims: Gambling-related harm to concerned significant others (CSOs) is an important public health issue since it reduces CSOs' health and wellbeing in numerous life domains. This study aimed to 1) estimate the first national prevalence of CSOs harmed by gambling in Australia; 2) identify the characteristics of CSOs most at risk of harm from another person's gambling; 3) compare the types and number of harms experienced by CSOs based on their relationship to the person who gambles; and 4) compare the number of harms experienced by CSOs by self-identified gender. Methods: Based on a national CATI survey weighted to population norms, 11,560 respondents reported whether they had been personally and negatively affected by another person's gambling in the past 12 months; and if so, answered detailed questions about the harms experienced from the person's gambling who had harmed them the most. Results: Past-year prevalence of gambling-related harm to adult Australian CSOs was (6.0%; 95% CI 5.6%-6.5%). CSOs most commonly reported emotional harms, followed by relationship, financial, health and vocational harms, respectively. Former partners reported the most harm, followed by current partners, other family members and non-family members, respectively. Female CSOs were more likely to report more harm and being harmed by a partner or other family member, and male CSOs from a non-family member. Discussion and conclusions: The findings provide new insights into the wider societal burden of gambling and inform measures aimed at reducing harm to CSOs from gambling and supporting them to seek help.

Adapting an Evidence-Based e-Learning Cognitive Behavioral Therapy Program Into a Mobile App for People Experiencing Gambling-Related Problems: Formative Study.

BACKGROUND: Many people who experience harm and problems from gambling do not seek treatment from gambling treatment services because of personal and resource barriers. Mobile health (mHealth) interventions are widely used across diverse health care areas and populations. However, there are few in the gambling harm field, despite their potential as an additional modality for delivering treatment and support. OBJECTIVE: This study aims to understand the needs, preferences, and priorities of people experiencing gambling harms and who are potential end users of a cognitive behavioral therapy mHealth intervention to inform design, features, and functions. METHODS: Drawing on a mixed methods approach, we used creators and domain experts to review the GAMBLINGLESS web-based program and convert it into an mHealth prototype. Each module was reviewed against the original evidence base to maintain its intended fidelity and conceptual integrity. Early wireframes, design ideas (look, feel, and function), and content examples were developed to initiate discussions with end users. Using a cocreation process with a young adult, a Maori, and a Pasifika peoples group, all with experiences of problem or harmful gambling, we undertook 6 focus groups: 2 cycles per group. In each focus group, participants identified preferences, features, and functions for inclusion in the final design and content of the mHealth intervention. RESULTS: Over 3 months, the GAMBLINGLESS web-based intervention was reviewed and remapped from 4 modules to 6. This revised program is based on the principles underpinning the transtheoretical model, in which it is recognized that some end users will be more ready to change than others. Change is a process that unfolds over time, and a nonlinear progression is common. Different intervention pathways were identified to reflect the end users' stage of change. In all, 2 cycles of focus groups were then conducted, with 30 unique participants (13 Maori, 9 Pasifika, and 8 young adults) in the first session and 18 participants (7 Maori, 6 Pasifika, and 5 young adults) in the second session. Prototype examples demonstrably reflected the focus group discussions and ideas, and the features, functions, and designs of the Manaaki app were finalized. Attributes such as personalization, cultural relevance, and positive framing were identified as the key. Congruence of the final app attributes with the conceptual frameworks of the original program was also confirmed. CONCLUSIONS: Those who experience gambling harms may not seek help. Developing and demonstrating the effectiveness of new modalities to provide treatment and support are required. mHealth has the potential to deliver interventions directly to the end user. Weaving the underpinning theory and existing evidence of effective treatment with end-user input into the design and development of mHealth interventions does not guarantee success. However, it provides a foundation for framing the intervention's mechanism, context, and content, and arguably provides a greater chance of demonstrating effectiveness.

Affected other interventions: a systematic review and meta-analysis across addictions.

BACKGROUND AND AIMS: Individuals impacted by someone else's alcohol, illicit drug, gambling and gaming problems (affected others) experience extensive harms. To our knowledge, this is the first systematic review and meta-analysis to determine the effectiveness of psychosocial interventions delivered to affected others across addictions. METHODS: This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. An electronic database search (PsycInfo, Medline, Cinahl and EMBASE) of randomized controlled trials (RCTs) published until August 2021 was conducted. RCTs with passive control groups, evaluating psychosocial tertiary interventions delivered to affected others of people with addictions (problematic alcohol use, substance use, gambling or gaming) that did not require the involvement of the addicted person, were included. RESULTS: Twenty included studies, published in 22 articles, mainly evaluated interventions for alcohol use, followed by gambling and illicit drugs, with none investigating gaming interventions. The interventions mainly targeted partners/spouses and focused upon improving affected other outcomes, addicted person outcomes or both. Meta-analyses revealed beneficial intervention effects over control groups on some affected other (depressive symptomatology [standardized mean difference (SMD) = -0.48, 95% confidence interval (CI) = -0.67, -0.29], life satisfaction (SMD = -0.37, 95% CI = -0.71, -0.03) and coping style (SMD = -1.33, 95% CI = -1.87, -0.79), addicted person [treatment entry, risk ratio (RR) = 0.86, 95% CI = 0.75-0.98] and relationship functioning outcomes (marital discord, SMD = -0.40, 95% CI = -0.61, -0.18) at post-intervention. No beneficial intervention effects were identified at short-term follow-up (4-11 months post-treatment). The beneficial intervention effects identified at post-treatment remained when limiting to studies of alcohol use and therapist-delivered interventions. CONCLUSIONS: Psychosocial interventions delivered to affected others of people with addictions (problematic alcohol use, substance use, gambling or gaming) may be effective in improving some, but not all, affected other (depression, life satisfaction, coping), addicted person (treatment) and relationship functioning (marital discord) outcomes for affected others across the addictions, but the conclusion remains tentative due to limited studies and methodological limitations.

Gambling disorder in the UK: key research priorities and the urgent need for independent research funding.

Gambling in the modern era is pervasive owing to the variety of gambling opportunities available, including those that use technology (eg, online applications on smartphones). Although many people gamble recreationally without undue negative effects, a sizeable subset of individuals develop disordered gambling, which is associated with marked functional impairment including other mental health problems, relationship problems, bankruptcy, suicidality, and criminality. The National UK Research Network for Behavioural Addictions (NUK-BA) was established to promote understanding of, research into, and treatments for behavioural addictions including gambling disorder, which is the only formally recognised behavioural addiction. In this Health Policy paper, we outline the status of research and treatment for disordered gambling in the UK (including funding issues) and key research that should be conducted to establish the magnitude of the problem, vulnerability and resilience factors, the underlying neurobiology, long-term consequences, and treatment opportunities. In particular, we emphasise the need to: (1) conduct independent longitudinal research into the prevalence of disordered gambling (including gambling disorder and at-risk gambling), and gambling harms, including in vulnerable and minoritised groups; (2) select and refine the most suitable pragmatic measurement tools; (3) identify predictors (eg, vulnerability and resilience markers) of disordered gambling in people who gamble recreationally, including in vulnerable and minoritised groups; (4) conduct randomised controlled trials on psychological interventions and pharmacotherapy for gambling disorder; (5) improve understanding of the neurobiological basis of gambling disorder, including impulsivity and compulsivity, genetics, and biomarkers; and (6) develop clinical guidelines based on the best contemporary research evidence to guide effective clinical interventions. We also highlight the need to consider what can be learnt from approaches towards mitigating gambling-related harm in other countries.

Parental problem gambling and child wellbeing: Systematic review and synthesis of evidence.

BACKGROUND: Children living with a problem gambling parent are at risk of harm but no previous systematic reviews have specifically focused on the relationship of parental problem gambling and child wellbeing outcomes. The current review aimed to redress this gap by reviewing all available empirical evidence on parental problem gambling and child wellbeing. METHOD: Articles were identified by searching PsychINFO, CINAHL, Medline and Scopus. The search included terminology pertaining to parents, problem gambling and children and we included all peer-reviewed articles that reported parental problem gambling and child wellbeing outcome(s). RESULTS: Overall, 35 studies reporting a relationship between parental problem gambling and child wellbeing were included. Child wellbeing outcomes were reported across six domains: (1) psychological (k = 14); (2) family relationships (k = 17); (3) violence (k = 9); (4) behavioural (k = 7); (5) financial (k = 9); and (6) physical health (k = 3). The included studies were mostly unequivocal about negative impacts of parental problem gambling across the six domains. Sixteen studies provided evidence of negative child outcomes that were directly attributed to parental problem gambling (e.g., as a result of your parent's problematic gambling, you felt depressed). Nineteen studies reported evidence of the association of child negative outcomes and parental problem gambling but child outcomes were not directly attributed to parental problem gambling (e.g., parent is a problem gambler, child is depressed). Evidence was particularly robust on child distress and family dysfunction directly attributed to parental problem gambling. CONCLUSION: This is the first systematic review focusing exclusively on specific intra- and interpersonal problems experienced by children whose parents have a gambling problem.