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比较常见的筛查方法,以预测接受阿片类药物治疗慢性疼痛管理的患者中异常药物相关行为。

A comparison of common screening methods for predicting aberrant drug-related behavior among patients receiving opioids for chronic pain management.

机构信息

Department of Psychology, University of Tennessee, Knoxville, TN 37996, USA.

出版信息

Pain Med. 2009 Nov;10(8):1426-33. doi: 10.1111/j.1526-4637.2009.00743.x.

DOI:10.1111/j.1526-4637.2009.00743.x
PMID:20021601
Abstract

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.

摘要

目的

预测违反阿片类药物管理政策(即异常药物相关行为)风险的能力对于提供最佳治疗至关重要。许多疼痛管理中心使用几种部分验证的措施之一来衡量风险:筛选和阿片类药物评估患者疼痛(SOAPP)、诊断、顽固性、风险和疗效清单(DIRE)和/或阿片类药物风险工具(ORT)。然而,对于这些措施在预测异常药物相关行为和阿片类止痛药停药方面彼此如何比较,知之甚少。本研究旨在解决这一研究问题。

患者

参与者为 48 名在田纳西州疼痛管理中心就诊但因异常药物相关行为而停止使用阿片类药物的患者。因阿片类药物治疗疼痛而转介的患者与工作人员心理学家进行了半结构化临床访谈,并完成了上述措施。患者通常每月返回疼痛诊所进行药物管理。结果。分析比较了每种自我报告措施和临床访谈在预测因异常药物相关行为而停药方面的敏感性。

结果

临床访谈(0.77)和 SOAPP(0.72)的敏感性最高,其次是 ORT(0.45)和 DIRE(0.17)。将临床访谈与 SOAPP 相结合,可将敏感性提高到 0.90。

结论

在因异常药物相关行为而停止使用阿片类药物的患者中,临床访谈和 SOAPP 在基线时最能有效预测风险。讨论了对未来研究和临床实践的影响。

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