The Opioid Abuse Risk Screener predicts aberrant same-day urine drug tests and 1-year controlled substance database checks: A brief report:

Health Psychology Open

Lynnette A Averill¹ 

关键词: assessment;    chronic pain;    controlled substance;    controlled substance database;    machine learning;    opioid abuse;    prescription drug abuse;    risk stratification;    scale;    urine drug testing;    validation;   

DOI  :  10.1177/2055102917748459

学科分类：社会科学、人文和艺术（综合）

来源: Sage Journals

【 摘 要 】

The Opioid Abuse Risk Screener was developed to support well-informed decision-making in opioid analgesic prescribing by extending the breadth of psychiatric risk factors evaluated relative to other non–clinician-administered measures. We examined the preliminary predictive validity of the Opioid Abuse Risk Screener relative to the widely used Screener and Opioid Assessment for Patients with Pain–Revised in predicting aberrant urine drug tests and controlled substance database checks. The Opioid Abuse Risk Screener is significantly different from the Screener and Opioid Assessment for Patients with Pain–Revised in predicting aberrant same-day urine drug tests (Z = 2.912, p = 0.0036) and controlled substance database checks within 1 year of assessment (Z = 3.731, p = 0.0002). Promising preliminary analyses using machine learning methods are also discussed.

【 授权许可】

CC BY-NC