Journal of Studies on Alcohol and Drugs. Supplement最新文献

Objective: The estimation of demand for treatment is one of the important elements in planning for alcohol and other drug treatment services. This article reports on a demand-projection model used in Australia to estimate the extent of unmet treatment demand by drug type.

Method: The model incorporated the prevalence of substance use disorders (by drug type and age), with the application of a severity distribution, which distributed the substance abuse disorders into three disability categories: mild, moderate, and severe. The application of treatment rates derived from expert judgments reflecting the proportion of people within disability categories who would be suitable for, likely to seek, and benefit from treatment. Sensitivity analyses incorporating variations to the severity distributions and treatment rates were applied, along with adjustment for polydrug use.

Results: The estimate for treatment demand for Australia varied between a low of 411,740 people and a high of 755,557 people. The most sensitive parameter is the expected treatment-seeking rate. Given that approximately 200,000 to 230,000 people are currently in treatment, this represents a met demand of between 26.8% and 56.4%.

Conclusions: There is insufficient alcohol and drug treatment available to meet the demand in Australia, despite Australia's relatively high met demand, when compared with other countries.

Objective: The article describes an epidemiological indicator called Treatment Demand Indicator (TDI). The TDI aims to provide professionals and researchers with a common European methodology for collecting and reporting core data on drug users in contact with treatment services. The article discusses the implementation of the TDI in the European countries and describes the main results, limitations, and future perspectives.

Method: The TDI provides a common format for reporting data on clients entering treatment as a result of their drug use and related problems during each calendar year. Its technical protocol defines which clients should be reported at European level and represents the minimum common set of items each national monitoring system should be able to report to the European Monitoring Centre for Drugs and Drug Addiction.

Results: In 2015, 29 European countries reported data on 467,811 clients entering drug treatment from 6,846 drug treatment units. Most clients were men in their 30s and had problems related to heroin or cannabis use; patterns of drug use differed geographically. Over the past decade, clients' profiles and drug use patterns changed from young heroin injectors seeking treatment to drug clients with diversified drug use patterns and profiles.

Conclusions: The TDI is the largest drug dataset in Europe, and its data is increasingly used in European and national data analysis. The use of a common drug-treatment-monitoring tool across a group of countries provides a useful instrument for policymakers, professionals, and managers working in the drug treatment field.

Abstract: The articles presented in this issue of the Journal of Studies on Alcohol and Drugs (Supplement No. 18) describe the rapid improvements over the past decade in methods, theories, and data systems used for needs-based planning of addiction treatment services. In this concluding essay, the editors describe the progress, prospects, and implications of this new wave of research. It is concluded that these developments can be used to maximize the impact of treatment services at the population level.