Finkelman Matthew D, Jamison Robert N, Kulich Ronald J, Butler Stephen F, Jackson William C, Smits Niels, Weiner Scott G
Department of Public Health and Community Service, Tufts University School of Dental Medicine, 1 Kneeland St., Boston, MA 02111, USA.
Departments of Anesthesiology and Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Drug Alcohol Depend. 2017 Sep 1;178:94-100. doi: 10.1016/j.drugalcdep.2017.04.016. Epub 2017 Jun 13.
The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item assessment designed to assist in the prediction of aberrant drug-related behavior (ADB) among patients with chronic pain. Recent work has created shorter versions of the SOAPP-R, including a static 12-item short form and two computer-based methods (curtailment and stochastic curtailment) that monitor assessments in progress. The purpose of this study was to cross-validate these shorter versions in two new populations.
This retrospective study used data from patients recruited from a hospital-based pain center (n=84) and pain patients followed and treated at primary care centers (n=110). Subjects had been administered the SOAPP-R and assessed for ADB. In real-data simulation, the sensitivity, specificity, and area under the curve (AUC) of each form were calculated, as was the mean test length using curtailment and stochastic curtailment.
Curtailment reduced the number of items administered by 30% to 34% while maintaining sensitivity and specificity identical to those of the full-length SOAPP-R. Stochastic curtailment reduced the number of items administered by 45% to 63% while maintaining sensitivity and specificity within 0.03 of those of the full-length SOAPP-R. The AUC of the 12-item form was equal to that of the 24-item form in both populations.
Curtailment, stochastic curtailment, and the 12-item short form have potential to enhance the efficiency of the SOAPP-R.
疼痛患者筛查与阿片类药物评估修订版(SOAPP-R)是一项包含24个条目的评估工具,旨在帮助预测慢性疼痛患者的异常药物相关行为(ADB)。最近的研究创建了SOAPP-R的较短版本,包括一个静态的12条目简表以及两种基于计算机的方法(缩减法和随机缩减法),用于监测正在进行的评估。本研究的目的是在两个新的人群中对这些较短版本进行交叉验证。
这项回顾性研究使用了从一家医院疼痛中心招募的患者数据(n = 84)以及在初级保健中心接受随访和治疗的疼痛患者数据(n = 110)。受试者接受了SOAPP-R评估并进行了ADB评估。在实际数据模拟中,计算了每种形式的敏感性、特异性和曲线下面积(AUC),以及使用缩减法和随机缩减法时的平均测试长度。
缩减法将施测的条目数量减少了30%至34%,同时保持了与全长SOAPP-R相同的敏感性和特异性。随机缩减法将施测的条目数量减少了45%至63%,同时保持敏感性和特异性在全长SOAPP-R的0.03范围内。在两个人群中,12条目形式的AUC与24条目形式的AUC相等。
缩减法、随机缩减法和12条目简表有潜力提高SOAPP-R的效率。