Acceptability and quality of the 'Grog Survey App' brief intervention: Helping Aboriginal Australians reflect on their drinking using a digital health tool.

INTRODUCTION: The Grog Survey App is a validated, visual and interactive self-administered application for tablet computers that is designed to help Aboriginal Australians describe their alcohol consumption. Each person who completes the App also receives a brief intervention with feedback tailored to their survey responses. We aimed to qualitatively assess the acceptability and perceived quality of the Grog App's brief intervention, among higher risk consumers and health providers at an Aboriginal residential rehabilitation centre. METHODS: This descriptive qualitative study analysed feedback from clients (n = 20) and staff (n = 10) of a drug and alcohol residential rehabilitation service on the brief intervention element of the Grog App. Data were collected face-to-face via semi-structured interviews over four consecutive weeks between May and June 2021. A content analysis was conducted, which was informed by the Mobile App Rating Scale (MARS). RESULTS: Client and staff feedback is summarised using four themes from the MARS framework: (i) aesthetics; (ii) engagement; (iii) functionality; and (iv) information. Most clients and staff felt like health messages on the brief intervention were written by 'someone who understands'. Overall, clients and staff described the brief intervention as visually appealing, engaging and likely able to elicit 'lightbulb moments'. DISCUSSION AND CONCLUSION: The brief intervention on the Grog App is unique in its provision of tailored advice based on survey responses to all individuals (i.e., those who do not drink through to those with likely dependence). Further research is needed to assess effectiveness of this brief intervention.

Supporting alcohol brief interventions and pharmacotherapy provision in Australian First Nations primary care: exploratory analysis of a cluster randomised trial.

INTRODUCTION: Primary care provides an important opportunity to detect unhealthy alcohol use and offer assistance but many barriers to this exist. In an Australian context, Aboriginal Community Controlled Health Services (ACCHS) are community-led and run health services, which provide holistic primary care to Aboriginal and Torres Strait Islander peoples. A recent cluster randomised trial conducted with ACCHS provided a service support model which showed a small but significant difference in provision of 'any treatment' for unhealthy alcohol use. However, it was not clear which treatment modalities were increased. AIMS: To test the effect of an ACCHS support model for alcohol on: (i) delivery of verbal alcohol intervention (alcohol advice or counselling); (ii) prescription of relapse prevention pharmacotherapies. METHODS: Intervention: 24-month, multi-faceted service support model. DESIGN: cluster randomised trial; equal allocation to early-support ('treatment') and waitlist control arms. PARTICIPANTS: 22 ACCHS. ANALYSIS: Multilevel logistic regression to compare odds of a client receiving treatment in any two-month period as routinely recorded on practice software. RESULTS: Support was associated with a significant increase in the odds of verbal alcohol intervention being recorded (OR = 7.60, [95% CI = 5.54, 10.42], p < 0.001) from a low baseline. The odds of pharmacotherapies being prescribed (OR = 1.61, [95% CI = 0.92, 2.80], p = 0.1) did not increase significantly. There was high heterogeneity in service outcomes. CONCLUSIONS: While a statistically significant increase in verbal alcohol intervention rates was achieved, this was not clinically significant because of the low baseline. Our data likely underestimates rates of treatment provision due to barriers documenting verbal interventions in practice software, and because different software may be used by drug and alcohol teams. The support made little impact on pharmacotherapy prescription. Changes at multiple organisational levels, including within clinical guidelines for primary care, may be needed to meaningfully improve provision of alcohol treatment in ACCHS. TRIAL REGISTRATION: ACTRN12618001892202 (retrospectively registered on 21/11/2018).

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.

An umbrella review of the benefits and risks associated with youths' interactions with electronic screens.

The influence of electronic screens on the health of children and adolescents and their education is not well understood. In this prospectively registered umbrella review (PROSPERO identifier CRD42017076051 ), we harmonized effects from 102 meta-analyses (2,451 primary studies; 1,937,501 participants) of screen time and outcomes. In total, 43 effects from 32 meta-analyses met our criteria for statistical certainty. Meta-analyses of associations between screen use and outcomes showed small-to-moderate effects (range: r = -0.14 to 0.33). In education, results were mixed; for example, screen use was negatively associated with literacy (r = -0.14, 95% confidence interval (CI) = -0.20 to -0.09, P ≤ 0.001, k = 38, N = 18,318), but this effect was positive when parents watched with their children (r = 0.15, 95% CI = 0.02 to 0.28, P = 0.028, k = 12, N = 6,083). In health, we found evidence for several small negative associations; for example, social media was associated with depression (r = 0.12, 95% CI = 0.05 to 0.19, P ≤ 0.001, k = 12, N = 93,740). Limitations of our review include the limited number of studies for each outcome, medium-to-high risk of bias in 95 out of 102 included meta-analyses and high heterogeneity (17 out of 22 in education and 20 out of 21 in health with I2 > 50%). We recommend that caregivers and policymakers carefully weigh the evidence for potential harms and benefits of specific types of screen use.

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.

Central markers of neuroinflammation in alcohol use disorder: A meta-analysis of neuroimaging, cerebral spinal fluid, and postmortem studies.

INTRODUCTION AND AIMS: There is emerging evidence that heavy long-term alcohol consumption may alter the neuroimmune profile. We conducted a meta-analysis of the association between alcohol use disorder (AUD) and the extent of neuroinflammation using cerebrospinal (CSF), PET (Positron Emission Tomography), and postmortem studies. DESIGN AND METHODS: A comprehensive search of electronic databases was conducted using the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) for AUD-related terms in combination with neuroinflammatory markers and cytokine- and chemokine-related terms for CSF, PET, and postmortem studies. Participants had to meet established criteria for AUD and/or heavy alcohol consumption with dependence features and be compared with healthy controls. Papers retrieved were assessed for inclusion criteria and a critical appraisal was completed using the Newcastle-Ottawa Scale. A meta-analysis was conducted on postmortem and PET studies. RESULTS: Eleven papers met the inclusion criteria with CSF, PET, and postmortem studies included in the final analysis. Postmortem studies demonstrate significant heterogeneity (𝑄 (14) = 62.02, 𝑝 < 0.001), with the alcohol group showing higher levels of neuroimmune markers than controls (𝑑 = 1.50 [95% CI 0.56, 2.45]). PET studies demonstrated a lower [11 C] PBR28 total volume of distribution (V T ) for translocator protein in the hippocampus (g = -1.95 [95% CI -2.72, -1.18], p < 0.001) of the alcohol group compared to controls. CONCLUSION: There is emerging evidence across multiple diagnostic modalities that alcohol impacts neuroimmune signaling in the human brain.

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.

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.

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.

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.