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首页> 外文期刊>Pain medicine : >A comparison of common screening methods for predicting aberrant drug-related behavior among patients receiving opioids for chronic pain management.
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A comparison of common screening methods for predicting aberrant drug-related behavior among patients receiving opioids for chronic pain management.

机译:接受阿片类药物治疗慢性疼痛的患者中常见的预测药物异常行为的筛查方法的比较。

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OBJECTIVE: The ability to predict risk for violating opioid medication policies, known as aberrant drug-related behavior, is critical for providing optimal treatment. Many pain management centers measure risk using one of several partially validated measures: the Screener and Opioid Assessment for Patients with Pain (SOAPP), the Diagnosis, Intractability, Risk, and Efficacy inventory (DIRE), and/or the Opioid Risk Tool (ORT). However, little is known about how these measures compare with each other in predicting aberrant drug-related behavior and discontinuance of opioid pain medications. The current study aimed to address this research question. PATIENTS: Participants were 48 patients who attended a pain management center in Tennessee but were later discontinued from opioids for aberrant drug-related behavior. Patients referred for opioid medication for pain management participated in a semi-structured clinical interview with the staff psychologist and completed the aforementioned measures. Patients generally returned to the pain clinic on a monthly basis for medication management. Results. Analyses compared the sensitivity of each self-report measure and the clinical interview in predicting discontinuance for aberrant drug-related behavior. RESULTS: showed the highest sensitivity for the clinical interview (0.77) and the SOAPP (0.72), followed by the ORT (0.45) and the DIRE (0.17). Combining the clinical interview with the SOAPP increased sensitivity to 0.90. CONCLUSIONS: Among patients who were discontinued from opioids for aberrant drug-related behaviors, the clinical interview and the SOAPP were most effective at predicting risk at baseline. Implications for future research and clinical practice are discussed.
机译:目的:能够预测违反阿片类药物政策的风险的能力,即与药物有关的异常行为,对提供最佳治疗至关重要。许多疼痛管理中心使用以下几种经过验证的措施中的一种来测量风险:疼痛患者的筛查和阿片类药物评估(SOAPP),诊断,难治性,风险和功效清单(DIRE)和/或阿片类药物风险工具(ORT) )。但是,对于在预测异常的药物相关行为和停用阿片类止痛药物方面如何比较这些措施知之甚少。当前的研究旨在解决这个研究问题。患者:48位患者参加了田纳西州的疼痛管理中心,但因与药物有关的异常行为而停用了阿片类药物。被推荐使用阿片类药物治疗疼痛的患者参加了与工作人员心理学家进行的半结构式临床访谈,并完成了上述措施。患者通常每月回到疼痛诊所进行药物管理。结果。分析比较了每种自我报告测度和临床访谈在预测异常药物相关行为停药中的敏感性。结果:对临床访谈的敏感性最高(0.77)和SOAPP(0.72),其次是ORT(0.45)和DIRE(0.17)。将临床访谈与SOAPP相结合,可将灵敏度提高到0.90。结论:因药物异常行为而停用阿片类药物的患者中,临床访谈和SOAPP最有效地预测了基线风险。讨论了对未来研究和临床实践的影响。

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