Monash Addiction Research Centre, Monash University Peninsula Campus, Frankston, Victoria, Australia.
National Drug and Alcohol Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Pain Med. 2020 Nov 1;21(11):2757-2764. doi: 10.1093/pm/pnaa275.
The OWLS is a screening tool for prescription opioid use disorder designed for use in primary care. This study aimed to confirm the optimal wording, scoring methods, and cutoff for the OWLS.
Cross-sectional analysis of an online sample.
Participants comprised those with chronic noncancer pain who regularly used prescription opioids.
Eligible participants self-completed an online version of the OWLS prescription opioid use disorder screening tool and the Composite International Diagnostic Interview Substance Abuse module. Receiver operating characteristics were calculated for three scoring methods for the OWLS, and these were compared with DSM-5 classification of any use disorder and moderate to severe opioid use disorder.
Among the sample (N = 324), utilizing scoring method (i) (i.e., positive endorsement ≥ response option "a little bit") and a cutoff of 3 increased the percentage of correctly classified participants, with concurrent increases in specificity and decreases in false discovery rate, and false positive rate.
OWLS utilizing scoring method (i) with a cutoff of 3 was shown to be the optimal version and scoring method of this tool. This represents a time-efficient, simple scoring method, allowing for quick and accurate screening for opioid use disorder to occur.
OWLS 是一种专为初级保健设计的处方阿片类药物使用障碍筛查工具。本研究旨在确认 OWLS 的最佳措辞、评分方法和截断值。
横断面分析在线样本。
研究对象为慢性非癌症疼痛且经常使用处方阿片类药物的患者。
符合条件的参与者自行完成在线版 OWLS 处方阿片类药物使用障碍筛查工具和复合国际诊断访谈物质滥用模块。计算了 OWLS 的三种评分方法的受试者工作特征，并将其与 DSM-5 任何使用障碍和中重度阿片类药物使用障碍的分类进行比较。
在样本（N=324）中，使用评分方法（i）（即，阳性认可≥“有点”）和截断值为 3 可提高正确分类参与者的百分比，同时特异性增加，假阳性率和误报率降低。
OWLS 使用评分方法（i），截断值为 3，被证明是该工具的最佳版本和评分方法。这代表了一种高效、简单的评分方法，能够快速准确地进行阿片类药物使用障碍筛查。
