Pape Hilde, Lobmaier Philipp, Bukten Anne
University College of Norwegian Correctional Service, P.O. Box 1, 2001 Lillestrøm, Norway.
Norwegian Centre for Addiction Research, University of Oslo, Norway.
Drug Alcohol Depend Rep. 2022 Mar 16;3:100043. doi: 10.1016/j.dadr.2022.100043. eCollection 2022 Jun.
The eleven-item Drug Use Disorder Identification Test (DUDIT) is a recommended screening tool, but its length may impede its use in prison intake assessments. Hence, we examined the performance of eight brief DUDIT screeners against the full DUDIT, employing a sample of male inmates.
Our study included male participants in the Norwegian Offender Mental Health and Addiction (NorMA) study who reported pre-prison drug use and who had been incarcerated three months or less ( = 251). We performed receiver operating characteristic curve (ROC) analyses and estimated the area under the curve (AUROC) to assess the performance of DUDIT-C (four drug consumption items) and five-item versions that consisted of DUDIT-C and one additional item.
Almost all (95%) screened positive on the full DUDIT (scores ≥6) and 35% had scores that were indicative of drug dependence (scores ≥25). The DUDIT-C performed very well in detecting likely dependence (AUROC=0.950), but some of the five-item versions performed significantly better. Of these, the DUDIT-C + item 5 (craving) had the highest AUROC (0.097). A cut-point of ≥9 on the DUDIT-C and ≥11 on the DUDIT-C + item 5 identified virtually all (98% and 97%, respectively) cases of likely dependence, with a specificity of 73% and 83%, respectively. At these cut-points, the occurrence of false positives was modest (15% and 10%, respectively) and only 4-5% were false negatives.
The DUDIT-C was highly effective in detecting likely drug dependence (according to the full DUDIT), but some combinations of DUDIT-C and one additional item performed better.
11项药物使用障碍识别测试（DUDIT）是一种推荐的筛查工具，但其长度可能会妨碍其在监狱入狱评估中的使用。因此，我们以男性囚犯为样本，研究了8种简短的DUDIT筛查工具相对于完整DUDIT的性能。
我们的研究纳入了挪威罪犯心理健康与成瘾（NorMA）研究中的男性参与者，这些参与者报告了入狱前的药物使用情况，且入狱时间不超过三个月（n = 251）。我们进行了受试者工作特征曲线（ROC）分析，并估计曲线下面积（AUROC）以评估DUDIT-C（四个药物消费项目）和由DUDIT-C及一个额外项目组成的五项版本的性能。
几乎所有（95%）参与者在完整DUDIT上筛查呈阳性（得分≥6），35%的参与者得分表明存在药物依赖（得分≥25）。DUDIT-C在检测可能的药物依赖方面表现非常出色（AUROC = 0.950），但一些五项版本的表现明显更好。其中，DUDIT-C + 项目5（渴望）的AUROC最高（0.997）。DUDIT-C上≥9的切点和DUDIT-C + 项目5上≥11的切点分别识别出几乎所有（分别为98%和97%）可能的药物依赖病例，特异性分别为73%和83%。在这些切点处，假阳性的发生率适中（分别为15%和10%），假阴性仅为4 - 5%。
DUDIT-C在检测可能的药物依赖方面非常有效（根据完整DUDIT），但DUDIT-C与一个额外项目的某些组合表现更好。
