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The Efficacy of a Computerized Assessment of Medication Adherence in Active Substance Users

机译:计算机化评估在活性物质用户中的药物依从性的疗效

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摘要

Background: Self-reports of medication adherence are subject to recall errors and social desirability bias. The visual analogue scale (VAS) is a brief measure and minimally burdensome. Its accuracy among substance users needs confirmation. Methods: We administered the VAS on an audio computer-assisted self-interview (ACASI) to 102 HIV-positive active substance users. Viral load (VL) was obtained via chart review. Cohen κ assessed the overall agreement between VL suppression and adherence, and a receiver–operator characteristic (ROC) curve assessed the diagnostic performance. Results: The VAS estimates of adherence correlated with VL. Various cutoffs for adherence were associated with VL suppression, demonstrating fair to moderate agreement through κ. Area under the curve (AUC) demonstrated that the ACASI-administered VAS strongly predicted VL suppression (AUC = 0.79). Discussion: The VAS administered by ACASI is viable for measuring highly active antiretroviral therapy (HAART) adherence among substance users. Its benefits as a screening instrument may make it useful for both clinical and research purposes.
机译:背景:药物遵守的自我报告旨在召回错误和社会可取性偏见。视觉模拟量表(VAS)是一个简短的测量和最小的繁重。其在物质用户之间的准确性需要确认。方法:我们在音频计算机辅助自访谈(ACASI)上给VAS管理到102个HIV阳性活性物质用户。病毒载荷(VL)通过图表审查获得。科恩κ评估了VL抑制和遵守之间的总体协议,以及接收器 - 操作员特征(ROC)曲线评估了诊断性能。结果:与VL相关的粘附性估计。遵守的各种截止与VL抑制相关,展示通过κ适量协议。曲线下(AUC)下的区域证明了ACASI施用的VAS强烈预测VL抑制(AUC = 0.79)。讨论:ACASI施用的VAS可用于测量物质使用者之间的高活性抗逆转录病毒治疗(HAART)粘附。其作为筛选仪器的益处可能使其可用于临床和研究目的。

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