276 research outputs found

    The association between involuntary alcohol treatment and subsequent emergency department visits and hospitalizations: a Bayesian analysis of treated patients and matched controls

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    Background and aims: Many nations have provisions for involuntary treatment of alcohol dependence where the person is at serious risk of harm to themselves. To date, there has been little thorough evaluation of its effectiveness. This study aimed to determine if there were differences between involuntary and voluntary treatment for alcohol dependence on subsequent emergency and hospital care. Design: A retrospective cohort design using linked routinely collected administrative data on health-care utilization. Setting: Hospital and community-based alcohol treatment, New South Wales, Australia. Participants: A total of 231 patients who were involuntarily treated for alcohol dependence and 231 matched controls who received treatment as usual within the period May 2012 to April 2018. Intervention and comparator: Involuntary treatment comprised a 28-day mandated hospital admission which included supervised withdrawal, comprehensive assessment, rehabilitation and support followed by voluntary aftercare support for up to 6 months. Treatment as usual comprised three not mutually exclusive forms of intensive voluntary alcohol treatment: withdrawal management, rehabilitation and pharmacotherapies for alcohol dependence. Measurements: Outcome measures: changes in the number of emergency department (ED) visits and number of unplanned hospital admissions 12 months before and 12 months after completion of index treatment. Findings: Both groups showed a reduction in ED visits (incidence rate ratio (IRR) = 0.56, 95% credible intervals (CrI) = 0.39–0.78) and unplanned hospital admissions (IRR = 0.49, 95% CrI = 0.37–0.65). There was no statistically significant difference between the two groups (IRR = 0.77, 95% CrI = 0.58–1.03 for ED visits and IRR = 0.79, 95% CrI = 0.62–1.01 for hospital admissions). The Bayes factors were 0.925 and 0.936 for ED visits and unplanned hospital admissions, respectively, interpreted as weak evidence in support of the null hypothesis of no difference between the interventions. Conclusions: Involuntary treatment of alcohol dependence was associated with reduced health service utilization in the year following treatment, and the outcomes did not differ from those of a matched control group

    Estimating the number of regular and dependent methamphetamine users in Australia, 2002-2014.

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    Objective: To estimate the number of regular and dependent methamphetamine users in Australia. Design: Indirect prevalence estimates were made for each year from 2002–03 to 2013–14. We applied multiplier methods to data on treatment episodes for amphetamines (eg, counselling, rehabilitation, detoxification) and amphetamine-related hospitalisations to estimate the numbers of regular (at least monthly) and dependent methamphetamine users for each year. Dependent users comprised a subgroup of those who used the drug regularly, so that estimates of the sizes of these two populations were not additive. Results: We estimated that during 2013–14 there were 268 000 regular methamphetamine users (95% CI, 187 000–385 000) and 160 000 dependent users (95% CI, 110 000–232 000) aged 15–54 years in Australia. This equated to population rates of 2.09% (95% CI, 1.45–3.00%) for regular and 1.24% (95% CI, 0.85–1.81%) for dependent use. The rate of dependent use had increased since 2009–10 (when the rate was estimated to be 0.74%), and was higher than the previous peak (1.22% in 2006–07). The highest rates were consistently among those aged 25–34 years, in whom the rate of dependent use during 2012–2013 was estimated to be 1.50% (95% CI, 1.05–2.22%). There had also been an increase in the rate of dependent use among those aged 15–24 years (in 2012–13 reaching 1.14%; 95% CI, 0.80–1.69%). Conclusions: There have been increases over the past 12 years in the numbers of regular and dependent methamphetamine users in Australia. Our estimates suggest that the most recent numbers are the highest for this period, and that the increase has been most marked among young adults (those aged 15–34 years)

    Combating escalating harms associated with pharmaceutical opioid use in Australia: The POPPY II study protocol

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    © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. Introduction Opioid prescribing has increased 15-fold in Australia in the past two decades, alongside increases in a range of opioid-related harms such as opioid dependence and overdose. However, despite concerns about increasing opioid use, extramedical use and harms, there is a lack of population-level evidence about the drivers of long-term prescribed opioid use, dependence, overdose and other harms. Methods and analysis We will form a cohort of all adult residents in New South Wales (NSW), Australia, who initiated prescribed opioids from 2002 using Pharmaceutical Benefits Scheme dispensing records. This cohort will be linked to a wide range of other datasets containing information on sociodemographic and clinical characteristics, health service use and adverse outcomes (eg, opioid dependence and non-fatal and fatal overdose). Analyses will initially examine patterns and predictors of prescribed opioid use and then apply regression and survival analysis to quantify the risks and risk factors of adverse outcomes associated with prescribed opioid use. Ethics and dissemination This study has received full ethical approval from the Australian Institute of Health and Welfare Ethics Committee, the NSW Population and Health Services Research Committee and the ACT Health Human Research Ethics Committee. This will be the largest postmarketing surveillance study of prescribed opioids undertaken in Australia, linking exposure and outcomes and examining risk factors for adverse outcomes of prescribed opioids. As such, this work has important translational promise, with direct relevance to regulatory authorities and agencies worldwide. Project findings will be disseminated at scientific conferences and in peer-reviewed journals. We will also conduct targeted dissemination with policy makers, professional bodies and peak bodies in the pain, medicine and addiction fields through stakeholder workshops and advisory groups. Results will be reported in accordance with the REporting of studies Conducted using Observational Routinely collected Data (RECORD) Statement

    Profile and correlates of injecting-related injuries and diseases among people who inject drugs in Australia

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    Introduction: People who inject drugs (PWID) commonly experience harms related to their injecting, many of which are consequences of modifiable drug use practices. There is currently a gap in our understanding of how certain injecting-related injuries and diseases (IRID) cluster together, and socio-demographic and drug use characteristics associated with more complex clinical profiles. Method: Surveys were conducted with 902 Australian PWID in 2019. Participants provided information regarding their drug use, and past month experience of the following IRID: artery injection, nerve damage, skin and soft tissue infection, thrombophlebitis, deep vein thrombosis, endocarditis, septic arthritis, osteomyelitis, and septicaemia. We performed a latent class analysis, grouping participants based on reported IRID and ran a class-weighted regression analysis to determine variables associated with class-membership. Results: One-third (34 %) of the sample reported any IRID. A 3-class model identified: 1) no IRID (73 %), moderate IRID (21 %), and 3) high IRID (6%) clusters. Re-using one`s own needles was associated with belonging to the high IRID versus moderate IRID class (ARRR = 2.38; 95 % CI = 1.04−5.48). Other factors, including daily injecting and past 6-month mental health problems were associated with belonging to moderate and high IRID classes versus no IRID class. Conclusion: A meaningful proportion of PWID reported highly complex IRID presentations distinguished by the presence of thrombophlebitis and associated with greater re-use of needles. Increasing needle and syringe coverage remains critical in addressing the harms associated with injecting drug use and expanding the capacity of low-threshold services to address less severe presentations might aid in reducing IRID amongst PWID

    All-cause and cause-specific mortality in individuals with an alcohol-related emergency or hospital inpatient presentation: A retrospective data linkage cohort study

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    Background and Aims: Alcohol consumption is a leading risk factor for premature mortality globally, but there are limited studies of broader cohorts of people presenting with alcohol-related problems outside of alcohol treatment services. We used linked health administrative data to estimate all-cause and cause-specific mortality among individuals who had an alcohol-related hospital inpatient or emergency department presentation. Design: Observational study using data from the Data linkage Alcohol Cohort Study (DACS), a state-wide retrospective cohort of individuals with an alcohol-related hospital inpatient or emergency department presentation. Setting: Hospital inpatient or emergency department presentation in New South Wales, Australia, between 2005 and 2014. Participants: Participants comprised 188 770 individuals aged 12 and above, 66% males, median age 39 years at index presentation. Measurements: All-cause mortality was estimated up to 2015 and cause-specific mortality (by those attributable to alcohol and by specific cause of death groups) up to 2013 due to data availability. Age-specific and age–sex-specific crude mortality rates (CMRs) were estimated, and standardized mortality ratios (SMRs) were calculated using sex and age-specific deaths rates from the NSW population. Findings: There were 188 770 individuals in the cohort (1 079 249 person-years of observation); 27 855 deaths were recorded (14.8% of the cohort), with a CMR of 25.8 [95% confidence interval (CI) = 25.5, 26.1] per 1000 person-years and SMR of 6.2 (95% CI = 5.4, 7.2). Mortality in the cohort was consistently higher than the general population in all adult age groups and in both sexes. The greatest excess mortality was from mental and behavioural disorders due to alcohol use (SMR = 46.7, 95% CI = 41.4, 52.7), liver cirrhosis (SMR = 39.0, 95% CI = 35.5, 42.9), viral hepatitis (SMR = 29.4, 95% CI = 24.6, 35.2), pancreatic diseases (SMR = 23.8, 95% CI = 17.9, 31.5) and liver cancer (SMR = 18.3, 95% CI = 14.8, 22.5). There were distinct differences between the sexes in causes of excess mortality (all causes fully attributable to alcohol female versus male risk ratio = 2.5 (95% CI = 2.0, 3.1). Conclusions: In New South Wales, Australia, people who came in contact with an emergency department or hospital for an alcohol-related presentation between 2005 and 2014 were at higher risk of mortality than the general New South Wales population during the same period

    Multifractal Analysis of Soil Surface Roughness

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    Soil surface roughness (SSR) is a parameter highly suited to the study of soil susceptibility to wind and water erosion. The development of a methodology for quantifying SSR is therefore instrumental to soil evaluation. We developed such a method, based on the multifractal analysis (MFA) of soil elevation measurements collected at the intersections on a 2- by 2-cm2 grid in a 200- by 200-cm2 plot. Samples were defined using the gliding box algorithm (GB), in which a box of a given size "glides" across the grid map in all possible directions. The advantage of the GB over the box counting algorithm is that it yields a greater number of large sample sizes, which usually leads to better statistical results. Standard deviation, semivariogram fractal dimension, and semivariogram crossover length were estimated for all scenarios to compare the results of SSR multifractal analysis to indices found with traditional techniques. For its high sensitivity to the spatial arrangement implicit in a data set, MFA appears to be better suited than classical indices to compare plots tilled under different management criteria. The results showed that MFA is able to effectively reflect the heterogeneity and complexity of agricultural SSR. Based on this type of analysis, two new indices have been defined to compare the multifractal spectrum characteristics of the raw data to the characteristics of a random field with the same average and SD

    A randomized, open label trial of methadone continuation versus forced withdrawal in a combined US prison and jail: Findings at 12 months post-release

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    however, few jails and prisons in the United States initiate or continue people who are incarcerated on MMT. In the current study, the 12 month outcomes of a randomized control trial in which individuals were provided MMT while incarcerated at the Rhode Island Department of Corrections (RIDOC) are assessed. An as-treated analysis included a total of 179 participants—128 who were, and 51 who were not, dosed with methadone the day before they were released from the RIDOC. The results of this study demonstrate that 12 months post-release individuals who received continued access to MMT while incarcerated were less likely to report using heroin and engaging in injection drug use in the past 30 days. In addition, they reported fewer non-fatal overdoses and were more likely to be continuously engaged in treatment in the 12-month follow-up period compared to individuals who were not receiving methadone immediately prior to release. These findings indicate that providing incarcerated individuals continued access to MMT has a sustained, long-term impact on many opioid-related outcomes post-release.Recently incarcerated individuals are at increased risk of opioid overdose. Methadone maintenance treatment (MMT) is an effective way to address opioid use disorder and prevent overdos

    Estimating the number of people who inject drugs in Australia

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    Abstract Background Injecting drug use is associated with considerable morbidity and mortality. Estimates of the size of the population of people who inject drugs are critical to inform service planning and estimate disease burden due to injecting drug use. We aimed to estimate the size of the population of people who inject drugs in Australia. Methods We applied a multiplier method which used benchmark data (number of people in opioid substitution therapy (OST) on a snapshot day in 2014) and multiplied it by a factor derived from the prevalence of current OST among people who inject drugs participating in the Australian Needle and Syringe Program Survey in 2014. Estimates of the total population of people who inject drugs were calculated in each state and territory and summed to produce a national estimate. We used the sex and age group distribution seen in datasets relating to people who inject drugs to derive sex- and age-stratified estimates, and calculated prevalence per 1000 population. Results Between 68,000 and 118,000 people aged 15–64 years inject drugs in Australia. The population prevalence of injecting drug use was 6.0 (lower and upper uncertainty intervals of 4.3 and 7.6) per 1000 people aged 15–64 years. Injecting drug use was more common among men than women, and most common among those aged 35–44 years. Comparison of expected drug-related deaths based on these estimates to actual deaths suggest that these figures may be underestimates. Conclusions These are the first indirect prevalence estimates of injecting drug use in Australia in over a decade. This work has identified that there are limited data available to inform estimates of this population. These estimates can be used as a basis for further work estimating injecting drug use in Australia
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