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Sweden's compulsory addiction system treats individuals with severe alcohol and narcotics use disorders. Merging data from three national level register databases of those sentenced to compulsory care from 2001 to 2009 (n=4515), the aims of this study were to: (1) compute mortality rates to compare to the general Swedish population; (2) identify leading cause of mortality by alcohol or narcotics use; and (3) identify individual level characteristics associated with mortality among alcohol and narcotics users. In this population, 24% were deceased by 2011. The most common cause of death for alcohol users was physical ailments linked to alcohol use, while narcotics users commonly died of drug poisoning or suicide. Average age of death differed significantly between alcohol users (55.0) and narcotics users (32.5). Multivariable logistic regression analysis identified the same three factors predicting mortality: older age (alcohol users OR=1.28, narcotic users OR=1.16), gender [males were nearly 3 times more likely to die among narcotics users (p<.000) and 1.6 times more likely to die among alcohol users (p<.01)] and reporting serious health problems (for alcohol users p<.000, for narcotics users p<.05). Enhanced program and government efforts are needed to implement overdose-prevention efforts and different treatment modalities for both narcotic and alcohol users., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Unlabelled: Drop-out of addiction treatment is common, however, little is known about drop-out of compulsory care in Sweden. Data from two national register databases were merged to create a database of 4515 individuals sentenced to compulsory care 2001-2009. The study examined (1) characteristics associated with having dropped out from a first compulsory care episode, (2) the relationship between drop-out and returning to compulsory care through a new court sentence, and (3) the relationship between drop-out and mortality., Methods: Multivariable logistic regression analysis was used to address Aim 1 and Cox proportional hazards regression modeling was applied to respond to Aims 2 and 3., Findings: Age and previous history of crime were significant predictors for drop-out. Clients who dropped out were 1.67 times more likely to return to compulsory care and the hazard of dying was 16% higher than for those who dropped-out., Conclusion: This study finds that 59% of clients assigned to compulsory care drop-out. Younger individuals are significantly more likely to drop-out. Those who drop out are significantly more likely to experience negative outcomes (additional sentence to compulsory care and higher risk of mortality). Interventions need to be implemented that increase motivation of youth to remain in compulsory care., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Data from large-scale registers is often underutilized when evaluating addiction treatment programs. Since many programs collect register data regarding clients and interventions, there is a potential to make greater use of such records for program evaluation. The purpose of this article is to discuss the value of using large-scale registers in the evaluation and program planning of addiction treatment systems and programs. Sweden is used as an example of a country where register data is both available and is starting to be used in national evaluation and program planning efforts. The article focuses on possibilities, limitations and practicalities when using large-scale register data to conduct evaluations and program planning of addiction treatment programs. Main conclusions are that using register data for evaluation provides large amounts of data at low cost, limitations associated to the use of register data may be handled statistically, register data can answer important questions in planning of addiction treatment programs, and more accurate measures are needed to account for the diversity of client populations., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Unlabelled: This national study of community-based addiction-treatment organizations' (CBOs) implementation of evidence-based practices explored CBO Program Directors' (n=296) and clinical staff (n=518) attitudes about the usefulness of science-based addiction treatment. Through multivariable regression modeling, the study identified that identical factors were associated with directors, and staff attitudes about the usefulness of science-based addiction treatment. For both directors and staff working in an organization that was affiliated with a research institution, working in an organization with better internet technology (measured through TCU-ORC scores) and having higher levels of education were all significantly associated with having more positive attitudes regarding science-based addiction treatment., Implications: government policy that promotes the hiring of addiction treatment clinical staff with professional degrees and encourages the development of linkages between addiction treatment researchers and treatment staff may positively impact attitudes and use of evidence-based addiction treatment practices (EBPs) in CBOs., (Copyright © 2011 Elsevier Ltd. All rights reserved.)