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- Berman, Anne H., et al.
(author)
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Evaluation of the Drug Use Disorders Identification Test (DUDIT) in criminal justice and detoxification settings and in a Swedish population sample
- 2005
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In: European Addiction Research. - : S. Karger AG. - 1022-6877 .- 1421-9891. ; 11:1, s. 22-31
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Journal article (peer-reviewed)abstract
- Psychometric properties of the 11-item self-report Drug Use Disorders Identification Test (DUDIT) were evaluated in a sample of heavy drug users from prison, probation, and inpatient detoxification settings, and in a general Swedish population sample. In the drug user sample, the DUDIT predicted drug dependence with a sensitivity of 90% for both DSM-4 and ICD-10 and a respective specificity of 78 and 88%. Reliability according to Cronbach’s α coefficient was 0.80. In the population sample, 3.1% scored positive on the DUDIT; T-score values are suggested. The DUDIT screens effectively for drug-related problems in clinically selected groups and may prove useful in the context of public health surveys.
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- Berman, Anne H., et al.
(author)
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Hopeless patients? : A study of illicit opiate users who drop out from in-patient detoxification
- 2008
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In: Journal of Substance Use. - : Informa UK Limited. - 1465-9891 .- 1475-9942. ; 13:2, s. 121-130
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Journal article (peer-reviewed)abstract
- Individual and treatment-related factors associated with early self-discharge were studied among illicit opiate users consecutively admitted for hospital detoxification (ITT=68, n=45). Only 20% of the drop-outs had a detailed treatment plan, 20% participated in their own treatment planning, and none were enrolled in a methadone/buprenorphine programme at admission (compared with 60, 80, and 66%, respectively, of those retained in treatment). Having a treatment plan at intake improved the odds for planned discharge by 13 and perceiving fewer positive aspects of drug use increased the odds for drop-out by 12.6. A configural frequency analysis (CFA) showed one significant type: patients with sketchy or no treatment planning at intake, no maintenance treatment, and a low score on positive aspects of drug use were 7.5 times more likely to drop out than expected. Lacking a close maternal relationship characterized patients in this type (83% compared with 31% of non-types). Drop-outs seem to have insecure attachment patterns, which make contact difficult with social services and substance abuse treatment providers. Future research should devise ways of establishing a working alliance with patients likely to drop out, as well as investigating management policies for this patient group.
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- Berman, Anne H., et al.
(author)
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The self-report drug use disorders identification test-extended (DUDIT-E) : Reliability, validity, and motivational index
- 2007
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In: Journal of Substance Abuse Treatment. - : Elsevier BV. - 0740-5472 .- 1873-6483. ; 32:4, s. 357-369
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Journal article (peer-reviewed)abstract
- Among clients who have been screened already for drug-related problems, the Drug Use Disorders Identification Test - Extended (DUDIT-E) maps the frequency of illicit drug use (D), the positive (P) and negative (N) aspects of drug use, and treatment readiness (T). D scores correlated with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnoses among 154 heavy drug users from criminal justice and drug detoxification settings, as well as with urine test results in drug detoxification units. One-week test/retest intraclass correlation coefficients among 92 male prison inmates were .90, .78, .75, and .84 for D, P, N, and T scores, respectively. Cronbach's alpha were .88-.95 for P score, .88-.93 for N score, and .72-.81 for T score. Principal components analysis supported construct validity for P, N, and T scores. T scores were higher in prison treatment units than in motivational and regular units without treatment emphasis. Motivational index scores differentiated between three categories of heavy drug users; they did not differentiate between prisons and unit types, but this corresponded to unclear structural differentiation between units.
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