Countering stereotypes: Exploring the characteristics of Aboriginal Australians who do not drink alcohol in a community representative sample.

INTRODUCTION: Contrary to stereotypes, Aboriginal and Torres Strait Islander Australians are more likely to abstain from drinking than other Australians. We explored characteristics and experiences of Aboriginal and Torres Strait Islander Australians who do not drink alcohol. METHOD: We conducted a cross-sectional, representative survey of 775 Aboriginal and Torres Strait Islander Australians (16+ years) in remote and urban South Australia. We explore correlates of not drinking alcohol using multi-level logistic regression. We describe reasons for non-drinking and harms participants experienced in past 12 months from others' drinking. RESULTS: Non-drinking participants were more likely to be older (OR 1.35 [95% CI 1.21, 1.50] per decade) and unemployed (OR 2.72 [95% CI 1.77, 4.20]). Participants who spoke Aboriginal Australian languages at home were three times more likely to be lifetime abstainers from drinking (OR 3.07 [95% CI 1.52, 6.21]). Common reasons for not drinking alcohol were health and family. Most did not report harms from others' alcohol consumption (79.6%, 76.9%, urban and remote respectively). Stress from others' alcohol consumption was the most reported harm by non-drinkers (14.5% and 23.1%, urban and remote, respectively). DISCUSSION AND CONCLUSIONS: Culture such as speaking Aboriginal Australian languages might have protective effects that promote abstaining but was rarely explicitly cited as a reason for not drinking. A greater understanding of local values held by people who do not drink alcohol could help inform health messaging and other interventions to reduce alcohol-related harms. Understanding local reasons for abstaining can help tailor health messaging to suit local contexts.

No improvement in AUDIT-C screening and brief intervention rates among wait-list controls following support of Aboriginal Community Controlled Health Services: evidence from a cluster randomised trial.

BACKGROUND: While Aboriginal and Torres Strait Islander Australians are less likely to drink any alcohol than other Australians, those who drink are more likely to experience adverse alcohol-related health consequences. In a previous study, providing Aboriginal Community Controlled Health Services (ACCHSs) with training and support increased the odds of clients receiving AUDIT-C alcohol screening. A follow-up study found that these results were maintained for at least two years, but there was large variability in the effectiveness of the intervention between services. In this study, we use services that previously received support as a comparison group to test whether training and support can improve alcohol screening and brief intervention rates among wait-list control ACCHSs. METHODS: Design: Cluster randomised trial using routinely collected health data. SETTING: Australia. CASES: Twenty-two ACCHSs that see at least 1000 clients a year and use Communicare as their practice management software. Intervention and comparator: After initiating support, we compare changes in screening and brief intervention between wait-list control services and services that had previously received support. MEASUREMENT: Records of AUDIT-C screening and brief intervention activity in routinely collected data. RESULTS: During the reference period we observed 357,257 instances where one of 74,568 clients attended services at least once during a two-monthly data extraction period. Following the start of support, the odds of screening (OR = 0.94 [95% CI 0.67, 1.32], p = 0.74, [Formula: see text]≈ 0.002) and brief intervention (OR = 1.43 [95% CI 0.69, 2.95], p = 0.34, [Formula: see text]≈ 0.002) did not improve for the wait-list control group, relative to comparison services. CONCLUSIONS: We did not replicate the finding that support and training improves AUDIT-C screening rates with wait-list control data. The benefits of support are likely context dependent. Coincidental policy changes may have sensitised services to the effects of support in the earlier phase of the study. Then the COVID-19 pandemic may have made services less open to change in this latest phase. Future efforts could include practice software prompts to alcohol screening and brief intervention, which are less reliant on individual staff time or resources. TRIAL REGISTRATION: Retrospectively registered on 2018-11-21: ACTRN12618001892202.

Disentangling autonomy-supportive and psychologically controlling parenting: A meta-analysis of self-determination theory's dual process model across cultures.

Self-determination theory's (SDT) dual process model claims that parental autonomy support relates positively to child well-being, while psychologically controlling parenting is linked positively to child ill-being. We tested these claims using a combination of one-stage and univariate meta-analytic structural equation modeling with moderation (k = 238; n = 1,040, N = 126,423). In the univariate models, parental autonomy support was linked positively with child well-being, r = 0.30, 95% CI [0.26, 0.33], whereas parental psychological control was positively linked with child ill-being, r = 0.26, 95% CI [0.23, 0.28]. Consistent with SDT's dual process model, the one-stage model that controlled for the intercorrelations between predictors showed that parental autonomy support and psychological control had distinct links to child wellness outcomes. Parental autonomy support was linked positively with child well-being, even when accounting for psychological control, r = 0.26, 95% CI [0.20, 0.31], and parental psychological control was positively linked to child ill-being, controlling for autonomy support, r = 0.20, 95% CI [0.17, 0.23]. Crucially, the beneficial effects of parental autonomy support and the costs of psychological control applied across regions, degrees of national individualism and cultural hierarchy, as well as child developmental periods and sexes. These results help move the field beyond debates about whether autonomy is beneficial toward questions about manifestations of autonomy across groups and variations in its optimal support. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Alcohol screening in 22 Australian Aboriginal Community Controlled Health Organisations: Clinical context and who is screened.

INTRODUCTION: Alcohol screening among Indigenous Australians is important to identify individuals needing support to reduce their drinking. Understanding clinical contexts in which clients are screened, and which clients are more or less likely to be screened, could help identify areas of services and communities that might benefit from increased screening. METHODS: We analysed routinely collected data from 22 Aboriginal Community Controlled Health Organisations Australia-wide. Data collected between February 2016 and February 2021 were analysed using R, and aggregated to describe screening activity per client, within 2-monthly extraction periods. Descriptive analyses were performed to identify contexts in which clients received an Alcohol Use Disorders Identification Test consumption (AUDIT-C) screen. Multi-level logistic regression determined demographic factors associated with receiving an AUDIT-C screen. Three models are presented to examine if screening was predicted by: (i) age; (ii) age and gender; (iii) age, gender and service remoteness. RESULTS: We observed 83,931 occasions where AUDIT-C was performed at least once during a 2-monthly extraction period. Most common contexts were adult health check (55.0%), followed by pre-consult examination (18.4%) and standalone item (9.9%). For every 10 years' increase in client age, odds of being screened with AUDIT-C slightly decreased (odds ratio 0.98; 95% confidence interval [CI] 0.98, 0.99). Women were less likely to be screened with AUDIT-C (odds ratio 0.95; 95% CI 0.93, 0.96) than men. DISCUSSION AND CONCLUSIONS: This study identified areas where alcohol screening can be increased (e.g., among women). Increasing AUDIT-C screening across entire communities could help reduce or prevent alcohol-related harms. Future Indigenous-led research could help identify strategies to increase screening rates.

Unintended consequences: Alcohol screening at urban Aboriginal Community Controlled Health Services was suppressed during COVID-19 lockdowns.

INTRODUCTION: Regular screening for risky drinking is important to improve the health of Aboriginal and Torres Strait Islander Australians. We explored whether the rate of screening for risky drinking using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questions was disrupted at Aboriginal Community Controlled Health Services (ACCHS) during state-wide and territory-wide COVID-19 lockdowns in 2020. METHODS: Retrospective analysis of screening data from 22 ACCHSs located in New South Wales, the Northern Territory, Queensland, South Australia, Victoria and Western Australia. These services provide holistic and culturally appropriate primary care. A multi-level Poisson regression, including AR(1) autocorrelation, was used to predict counts of AUDIT-C screening at ACCHSs. RESULTS: AUDIT-C screening was suppressed during state-wide and territory-wide lockdowns in 2020 (incident rate ratio [IRR] 0.42 [0.29, 0.61]). The effect of lockdowns differed by service remoteness. While there was a substantial reduction in AUDIT-C screening for urban and inner regional services (IRR 0.25 [95% confidence interval (CI) 0.15, 0.42]), there was not a statistically significant change in screening at outer regional and remote (IRR 0.60 [95% CI 0.33, 1.09]) or very remote services (IRR 0.67 [95% CI 0.40, 1.11]). DISCUSSION AND CONCLUSIONS: The COVID-19 lockdowns in Australia likely suppressed rates of screening for risky drinking in urban and inner regional regions. As harm from alcohol consumption may have increased during lockdowns, policymakers should consider implementing measures to enable screening for risky drinking to continue during future lockdowns.

Low rates of prescribing alcohol relapse prevention medicines in Australian Aboriginal Community Controlled Health Services.

INTRODUCTION: Alcohol dependence is a chronic condition impacting millions of individuals worldwide. Safe and effective medicines to reduce relapse can be prescribed by general practitioners but are underutilised in the general Australian population. Prescription rates of these medicines to Aboriginal and Torres Strait Islander (First Nations) Australians in primary care are unknown. We assess these medicines in Aboriginal Community Controlled Health Services and identify factors associated with prescription. METHODS: Baseline data (spanning 12 months) were used from a cluster randomised trial involving 22 Aboriginal Community Controlled Health Services. We describe the proportion of First Nations patients aged 15+ who were prescribed a relapse prevention medicine: naltrexone, acamprosate or disulfiram. We explore associations between receiving a prescription, a patient AUDIT-C score and demographics (gender, age, service remoteness) using logistic regression. RESULTS: During the 12-month period, 52,678 patients attended the 22 services. Prescriptions were issued for 118 (0.2%) patients (acamprosate n = 62; naltrexone n = 58; disulfiram n = 2; combinations n = 4). Of the total patients, 1.6% were 'likely dependent' (AUDIT-C ≥ 9), of whom only 3.4% received prescriptions for these medicines. In contrast, 60.2% of those who received a prescription had no AUDIT-C score. In multivariate analysis, receiving a script (OR = 3.29, 95% CI 2.25-4.77) was predicted by AUDIT-C screening, male gender (OR = 2.24, 95% CI 1.55-3.29), middle age (35-54 years; OR = 14.41, 95% CI 5.99-47.31) and urban service (OR = 2.87, 95% CI 1.61-5.60). DISCUSSION AND CONCLUSIONS: Work is needed to increase the prescription of relapse prevention medicines when dependence is detected. Potential barriers to prescription and appropriate ways to overcome these need to be identified.

A meta-analysis of the dark side of the American dream: Evidence for the universal wellness costs of prioritizing extrinsic over intrinsic goals.

Self-determination theory holds that the intrinsic and extrinsic content of people's aspirations differentially affect their wellness. An evidence base spanning nearly 30 years indicates that focusing on intrinsic goals (such as for growth, relationships, community giving, and health) promotes well-being, whereas a focus on extrinsic goals (such as for wealth, fame, and beauty) deters well-being. Yet, the evidence base contains exceptions, and some authors have argued that focusing on extrinsic goals may not be universally detrimental. We conducted a systematic review and used multilevel meta-analytic structural equation modeling to evaluate the links between intrinsic and extrinsic aspirations with indices of well-being and ill-being. Across 92 reports (105 studies), 1,808 effects, and a total sample of N = 70,110, we found that intrinsic aspirations were linked positively with well-being, r = 0.24 [95% CI 0.22, 0.27], and negatively with ill-being, r = -0.11 [-0.14, -0.08]. When the variety of extrinsic aspiration scoring methods were combined, the link with well-being was not statistically significant, r = 0.02 [-0.02, 0.06]. However, when extrinsic aspirations were evaluated in terms of their predominance in the overall pattern of aspiring the effect was universally detrimental, linking negatively to well-being, r = -0.22 [-0.32, -0.11], and positively to ill-being, r = 0.23 [0.17, 0.30]. Meta-analytic conclusions about the associations between goal types and wellness are important because they inform how individuals could shape aspirations to support their own happiness and how groups and institutions can frame goals such that their pursuit is for the common good. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Walking side-by-side: Supporting Aboriginal and Torres Strait Islander Australians to lead the way in alcohol research.

Several initiatives have sought to increase the number of First Nations individuals with a higher degree in research (i.e., PhD or research masters)-in Australia and in similarly colonised countries. However, little has been written on day-to-day support structures and mechanisms that might help First Nations Australian candidates thrive in postgraduate research degrees and beyond. For sensitive research fields such as alcohol, emerging Aboriginal and Torres Strait Islander researchers must grapple with topics which are stigmatising and in some instances associated with traumatic associations. There is also a lack of studies internationally that describe optimal support for First Nations students undertaking a higher degree by research with a primary focus on alcohol. Here we discuss what we have learned from the support offered through the Centre of Research Excellence in Indigenous Health and Alcohol-from the perspective of academic staff, students, trainees and early career researchers. We consider what may be generalisable lessons from this experience.

More than three times as many Indigenous Australian clients at risk from drinking could be supported if clinicians used AUDIT-C instead of unstructured assessments.

BACKGROUND: Aboriginal and Torres Strait Islander ('Indigenous') Australians experience a greater burden of disease from alcohol consumption than non-Indigenous peoples. Brief interventions can help people reduce their consumption, but people drinking at risky levels must first be detected. Valid screening tools (e.g., AUDIT-C) can help clinicians identify at-risk individuals, but clinicians also make unstructured assessments. We aimed to determine how frequently clinicians make unstructured risk assessments and use AUDIT-C with Indigenous Australian clients. We also aimed to determine the accuracy of unstructured drinking risk assessments relative to AUDIT-C screening. Finally, we aimed to explore whether client demographics influence unstructured drinking risk assessments. METHODS: We performed cross-sectional analysis of a large clinical dataset provided by 22 Aboriginal Community Controlled Health Services in Australia. We examined instances where clients were screened with unstructured assessments and with AUDIT-C within the same two-monthly period. This aggregated data included 9884 observations. We compared the accuracy of unstructured risk assessments against AUDIT-C using multi-level sensitivity and specificity analysis. We used multi-level logistic regression to identify demographic factors that predict risk status in unstructured assessments while controlling for AUDIT-C score. RESULTS: The primary variables were AUDIT-C score and unstructured drinking risk assessment; demographic covariates were client age and gender, and service remoteness. Clinicians made unstructured drinking risk assessments more frequently than they used AUDIT-C (17.11% and 10.85% of clinical sessions respectively). Where both measures were recorded within the same two-month period, AUDIT-C classified more clients as at risk from alcohol consumption than unstructured assessments. When using unstructured assessments, clinicians only identified approximately one third of clients drinking at risky levels based on their AUDIT-C score (sensitivity = 33.59% [95% CI 22.03, 47.52], specificity = 99.35% [95% CI 98.74, 99.67]). Controlling for AUDIT-C results and demographics (gender and service remoteness), clinicians using unstructured drinking risk assessments were more likely to classify older clients as being at risk from alcohol consumption than younger clients. CONCLUSIONS: Evidence-based screening tools like AUDIT-C can help clinicians ensure that Indigenous Australian clients (and their families and communities) who are at risk from alcohol consumption are better detected and supported.

'The Drug Survey App': a protocol for developing and validating an interactive population survey tool for drug use among Aboriginal and Torres Strait Islander Australians.

BACKGROUND: Disadvantage and transgenerational trauma contribute to Aboriginal and Torres Strait Islander (Indigenous) Australians being more likely to experience adverse health consequences from alcohol and other drug use than non-Indigenous peoples. Addressing these health inequities requires local monitoring of alcohol and other drug use. While culturally appropriate methods for measuring drinking patterns among Indigenous Australians have been established, no similar methods are available for measuring other drug use patterns (amount and frequency of consumption). This paper describes a protocol for creating and validating a tablet-based survey for alcohol and other drugs ("The Drug Survey App"). METHODS: The Drug Survey App will be co-designed with stakeholders including Indigenous Australian health professionals, addiction specialists, community leaders, and researchers. The App will allow participants to describe their drug use flexibly with an interactive, visual interface. The validity of estimated consumption patterns, and risk assessments will be tested against those made in clinical interviews conducted by Indigenous Australian health professionals. We will then trial the App as a population survey tool by using the App to determine the prevalence of substance use in two Indigenous communities. DISCUSSION: The App could empower Indigenous Australian communities to conduct independent research that informs local prevention and treatment efforts.

Prevalence and correlates of alcohol dependence in an Australian Aboriginal and Torres Strait Islander representative sample: Using the Grog Survey App.

INTRODUCTION: Little is known about the prevalence of current alcohol dependence in Indigenous Australian communities. Here we identify the frequency of reported symptoms, estimate the prevalence and describe the correlates of current alcohol dependence. METHODS: A representative sample of Indigenous Australians (16+ years) was recruited from an urban and remote community in South Australia. Data were collected between July and October 2019 via a tablet computer-based application. Participants were likely dependent if they reported two or more dependence symptoms (ICD-11; in the last 12 -months), weekly or more frequently. Chi-square tests described the relationship between demographics, remoteness and alcohol dependence. Spearman correlations estimated the relationship between symptoms of dependence, consumption characteristics and demographics. RESULTS: A total of 775 Indigenous Australians participated. The most frequently reported symptoms were prioritising alcohol over other things and loss of control. Overall, 2.2% were likely dependent on alcohol (n = 17/775). Prevalence did not vary by remoteness. Participants who drank more and more frequently tended to report more frequent symptoms of dependence. In the urban site, men tended to report more frequent symptoms of dependence than women. Age, income and schooling were not linked to dependence. DISCUSSION AND CONCLUSIONS: The prevalence of current alcohol dependence in this representative sample was similar to that of the general Australian and international estimates. Understanding risk factors for current alcohol dependence will be useful to inform the allocation of funding and support. Accurate estimates of the prevalence of current alcohol dependence are important to better identify specialist treatment needs.

Support for Aboriginal health services in reducing harms from alcohol: 2-year service provision outcomes in a cluster randomized trial.

BACKGROUND AND AIMS: There is a higher prevalence of unhealthy alcohol use among Indigenous populations, but there have been few studies of the effectiveness of screening and treatment in primary health care. Over 24 months, we tested whether a model of service-wide support could increase screening and any alcohol treatment. DESIGN: Cluster-randomized trial with 24-month implementation (12 months active, 12 months maintenance). SETTING: Australian Aboriginal Community Controlled primary care services. PARTICIPANTS: Twenty-two services (83 032 clients) that use Communicare practice software and see at least 1000 clients annually, randomized to the treatment arm or control arm. INTERVENTION AND COMPARATOR: Multi-faceted early support model versus a comparator of waiting-list control (11 services). MEASUREMENTS: A record (presence = 1, absence = 0) of: (i) Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening (primary outcome), (ii) any-treatment and (iii) brief intervention. We received routinely collected practice data bimonthly over 3 years (1-year baseline, 1-year implementation, 1-year maintenance). Multi-level logistic modelling was used to compare the odds of each outcome before and after implementation. FINDINGS: The odds of being screened within any 2-month reference period increased in both arms post-implementation, but the increase was nearly eight times greater in early-support services [odds ratio (OR) = 7.95, 95% confidence interval (CI) = 4.04-15.63, P < 0.001]. The change in odds of any treatment in early support was nearly double that of waiting-list controls (OR = 1.89, 95% CI = 1.19-2.98, P = 0.01) but was largely driven by decrease in controls. There was no clear evidence of difference between groups in the change in the odds of provision of brief intervention (OR = 1.95, 95% CI = 0.53-7.17, P = 0.32). CONCLUSIONS: An early support model designed to aid routine implementation of alcohol screening and treatment in Aboriginal health services resulted in improvement of Alcohol Use Disorders Identification Test-Consumption screening rates over 24 months of implementation, but the effect on treatment was less clear.

Indigenous Australian drinking risk: Comparing risk categorisations based on recall of recent drinking occasions to AUDIT-C screening in a representative sample.

INTRODUCTION: Aboriginal and Torres Strait Islander (Indigenous) Australians have identified alcohol consumption as an area of concern. Accurate screening tools are required to help detect and assist at-risk drinkers, and to provide accurate data to policy makers. The Finnish method (determining drinking patterns based on the last two to four drinking occasions), has been proposed as a culturally appropriate and effective screening tool for detecting Indigenous Australians at risk from alcohol consumption. While it has been found to be valid and acceptable for use with Indigenous Australians, the Finnish method has not been compared to the three-item Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) which is currently recommended by the Australian government for use in Aboriginal community-controlled health services. METHODS: We compared the performance of the AUDIT-C and Finnish method as screening tools for detecting harms experienced from alcohol in a representative, cross-sectional, sample of Indigenous Australians. RESULTS: AUDIT-C was substantially faster for participants to complete than the Finnish method. Metrics derived from both the AUDIT-C and Finnish method were similarly linked to the frequency of self-reported International Classification of Diseases, 11th revision dependence symptoms and harms. DISCUSSION AND CONCLUSIONS: The AUDIT-C is likely most appropriate for use in clinical settings due to its speed and ease of use. The Finnish method provides relatively detailed information about drinking and is better suited to population surveys.

Predictors of length of treatment, discharge reason, and re-admission to Aboriginal alcohol and other drug residential rehabilitation services in New South Wales, Australia.

INTRODUCTION: Aboriginal clients accessing Aboriginal community-controlled residential alcohol and other drug rehabilitation services in New South Wales, Australia believe they have better outcomes due to culturally appropriate care. However, there is a paucity of published treatment outcome data. This study aims to identify predictors of treatment outcomes based on client characteristics at intake. METHODS: A cross-sectional, retrospective, observational study of 2326 admissions to six services between January 2011 and December 2016. The outcomes were: (i) leaving treatment early; (ii) self-discharge or house discharge (by staff); and (iii) re-admission within two years. The predictors examined were Aboriginal status, age, justice system referral and primary substance of concern. Competing risk and Poisson regression analyses were used to identify trends in the data. RESULTS: The mean age of clients was 33 years, and the majority (56%) stayed at least 6 weeks. Aboriginal clients whose primary substance of concern was stimulants were almost eight times more likely to re-admitted within 2 years than other clients (risk ratio 7.91; P < 0.001). Aboriginal clients who were also referred from justice were more likely to self-discharge (risk ratio 1.87; P < 0.001). Furthermore, Aboriginal clients who were aged older than 30 were less likely to have a re-admission (risk ratio 0.32; P ≤ 0.001). DISCUSSION AND CONCLUSIONS: This study showed client characteristics that are predictive of harmful outcomes include age under 30, justice client, primary substance of use and their interactions. Future research could build on these results to aid ongoing development of residential rehabilitation programs for Aboriginal peoples.

Patterns of drinking in Aboriginal and Torres Strait Islander peoples as self-reported on the Grog Survey App: A representative urban and remote sample.

INTRODUCTION: Measuring self-reported alcohol use is challenging in any population, including when episodic drinking may be common. Drinking among Indigenous Australians has been shown to vary greatly within and between communities. However, most survey methods assume 'regular' patterns of drinking. National estimates have also been shown to underestimate alcohol use among this group. This paper describes drinking patterns in two representative community samples (urban and remote). METHODS: Indigenous Australians (aged 16+ years) in two South Australian sites were recruited to complete the Grog Survey App. The App is a validated, interactive tablet-based survey tool, designed to help Indigenous Australians describe their drinking. Drinking patterns were described using medians and interquartile ranges; gender and remoteness were compared using Wilcoxon rank-sum tests. Spearman correlations explored the relationship between drinking patterns and age. Logistic regressions tested if beverage or container preference differed by remoteness or gender. RESULTS: Three-quarters of participants (77.0%, n = 597/775) were current drinkers. Median standard drinks per occasion was 7.8 (78 g), 1.3 drinking occasions per month (median). Three-quarters of current drinkers (73.7%) reported a period without drinking (median: 60 days). Remote drinkers were more likely to drink beer. Improvised containers were used by 40.5% of drinkers. DISCUSSION AND CONCLUSIONS: Episodic drinking with extended 'dry' periods and from non-standard drinking containers was common in this representative sample of Indigenous Australians. The diversity of container use and beverage preference, by gender and remoteness, illustrates nuances in drinking patterns between communities. It shows the importance of community-level data to inform local strategies addressing alcohol misuse.

Alcohol dependence in a community sample of Aboriginal and Torres Strait Islander Australians: harms, getting help and awareness of local treatments.

BACKGROUND: Few studies have examined links between current alcohol dependence and specific harms among Indigenous Australians. We investigated these associations as well as help seeking for drinking, awareness of local treatments and recommendations to help family or friends cut down or stop drinking in two Indigenous communities. METHODS: A representative sample of Indigenous Australians was surveyed in one urban and one remote community in South Australia. Data were collected via the Grog Survey App. Participants were dependent if they reported two or more symptoms of alcohol dependence (ICD-11). Pearson chi-square tests were used to describe relationships between employment by gender, and dependence by awareness of medicines and local treatment options. Multivariate logistic regressions were used to predict the odds of dependent drinkers experiencing harms and getting help for drinking, controlling for age, gender, schooling and income. RESULTS: A total of 775 Indigenous Australians took part in the study. After controlling for confounders, dependent drinkers were nearly eight times more likely to report a harm and nearly three times more likely to get help for their drinking-compared with non-dependent drinkers. Participants recommended accessing local support from an Aboriginal alcohol and other drugs worker, or a detoxification/ rehabilitation service. DISCUSSION AND CONCLUSIONS: More support and funding is needed for Indigenous Australians to ensure local treatment options for dependent drinkers are readily available, appropriate and accessible. Involvement of local Aboriginal or Torres Strait Islander health professionals in delivery of care can help ensure that it is appropriate to an individual's culture and context.

Alcohol consumption and dependence is linked to the extent that people experience need satisfaction while drinking alcohol in two Aboriginal and Torres Strait Islander communities.

BACKGROUND: Unhealthy alcohol use is a key concern for Aboriginal and Torres Strait Islander ('Indigenous Australian') communities. Due to systematic disadvantage and inter-generational trauma, Indigenous Australians may be less likely to have satisfied basic psychological needs (autonomy, competence, and relatedness). When people are need-thwarted, they may engage in compensatory behaviours to feel better in the short-term. We explore the relationship between perceived basic psychological needs satisfaction and alcohol consumption use among Indigenous Australians. Better understanding the functions that alcohol may play for some Indigenous Australian drinkers may aid communities, clinicians, and policy makers in improving programs for reducing drinking-related harms. METHODS: We performed a cross-sectional survey of Indigenous Australians (aged 16 years or older) living in two South Australian communities. Participants were eligible if they had consumed any alcohol in the past 12 months. Spearman correlations and linear regressions were used to determine if feeling more autonomous, competent, and related to others (need satisfied) while drinking, was linked to alcohol consumption and dependence. RESULTS: Controlling for participant demographics, reporting feeling need satisfied while drinking was linked to drinking more alcohol per day, reporting more frequent symptoms of alcohol dependence, spending more money on alcohol, and scoring higher on the AUDIT-C. CONCLUSIONS: Unhealthy drinking may partly stem from attempts to satisfy basic psychological needs. Programs which support Indigenous Australians to meet basic psychological needs could reduce attempts to meet psychological needs through alcohol consumption.

A multi-methods yarn about SMART Recovery: First insights from Australian Aboriginal facilitators and group members.

INTRODUCTION: SMART Recovery is a popular mutual support group program. Little is known about its suitability or perceived helpfulness for Indigenous peoples. This study explored the cultural utility of SMART Recovery in an Australian Aboriginal context. METHODS: An Indigenous-lensed, multi-methods, exploratory study design was used to develop initial evidence of: (i) attributes of Aboriginal SMART Recovery facilitators and group members; (ii) characteristics of Aboriginal-led SMART Recovery groups; (iii) perceived acceptability and helpfulness of SMART Recovery; and (iv) areas for potential improvement. Data were collected by synthesising Indigenous qualitative methods (research topic and social yarning) with western qualitative and quantitative methods (participant surveys, program adherence rating scale, group observations and field notes). Data were analysed using thematic analysis. RESULTS: Participants were a culturally diverse sample of male and female Aboriginal facilitators (n = 10) and group members (n = 11), aged 22-65 years. Aboriginal-led SMART Recovery groups were culturally customised to suit local contexts. Program tools 'goal setting' and 'problem solving' were viewed as the most helpful. Suggested ways SMART Recovery could enhance its cultural utility included: integration of Aboriginal perspectives into facilitator training; creation of Aboriginal-specific program and marketing materials; and greater community engagement and networking. Participants proposed an Aboriginal-specific SMART Recovery program. DISCUSSION AND CONCLUSIONS: This study offers insights into Aboriginal peoples' experiences of SMART Recovery. Culturally-informed modifications to the program were identified that could enhance cultural utility. Future research is needed to obtain diverse community perspectives and measure health outcomes associated with group attendance.

Support can increase use of the AUDIT-C in Australian Aboriginal Community Controlled Health Services: a cluster randomized trial.

BACKGROUND AND AIMS: Unhealthy alcohol consumption is a key concern for Aboriginal and Torres Strait Islander ('Indigenous') communities. It is important to identify and treat at-risk drinkers, to prevent harms to physical or social wellbeing. We aimed to test whether training and support for Aboriginal Community Controlled Health Service (ACCHS) staff would increase rates of alcohol screening and brief intervention. DESIGN: Cluster randomized trial. SETTING: Australia. Cases/Intervention/Measurements Twenty-two ACCHSs that see at least 1000 clients per year and use Communicare as practice management software. The study included data on 70 419 clients, training, regular data feedback, collaborative support and funding for resources ($9000). Blinding was not used. The comparator was waiting-list control (equal allocation). Alcohol Use Disorder Identification Test (AUDIT-C) screening and records of brief interventions were extracted from practice management software at 2-monthly intervals. Observations described the clinical actions taken for clients over each 2-month interval. The baseline period (28 August 2016-28 August 2017) was compared with the post-implementation period (29 August 2017-28 August 2018). We used multi-level logistic regression to test the hypotheses that clients attending a service receiving active support would be more likely to be screened with AUDIT-C (primary outcome) or to receive a brief intervention (secondary outcome). FINDINGS: We observed an increase in the odds of screening with AUDIT-C for both groups, but the increase was 5.52 [95% confidence interval (CI) = 4.31, 7.07] times larger at services receiving support. We found little evidence that the support programme increased the odds of a recorded brief intervention relative to control services (odds ratio = 2.06; 95% CI = 0.90, 4.69). Differences in baseline screening activity between treatment and control reduce the certainty of our findings. CONCLUSIONS: Providing Aboriginal Community Controlled Health Services with training and support can improve alcohol (AUDIT-C) screening rates.