Ecological Momentary Assessment of Illicit Drug Use Compared to Biological and Self-Reported Methods.

Ecological Momentary Assessment of Illicit Drug Use Compared to Biological and Self-Reported Methods.
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DOI:
10.2196/mhealth.4470
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发表时间:
2016-03-15
影响因子:
5
通讯作者:
Kirk GD
Kirk GD
中科院分区:
医学2区
文献类型:
--
作者:
Linas BS;Genz A;Westergaard RP;Chang LW;Bollinger RC;Latkin C;Kirk GD

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使用mHealth方法来捕获非法药物使用和相关行为已在研究环境中得到更广泛的使用,但很少有研究表明,与已知的捕获和量化药物使用的措施相比,这些方法的有效性如何。我们研究了药物使用的生态瞬时评估(EMA)与先前验证的生物和音频计算机辅助自我访谈(ACASI)方法的一致性。当前暴露评估(EXACT)研究利用EMA方法在参与者的自然环境中实时评估药物使用情况。利用移动的设备,参与者自我报告他们在4周内每次使用海洛因或可卡因。每周,收集PharmChek汗液样本用于测量海洛因和可卡因,参与者回答基于ACASI的问卷,以报告前一周的行为和药物使用事件。通过EMA捕获的可卡因和海洛因使用报告与每周生物或自我报告措施进行比较,通过百分比一致性和一致性相关系数来解释重复测量。从逻辑回归模型中获得不一致的相关性。共有109名参与者的中位数为48.5岁,90%为非洲裔美国人,52%为男性。在436人周的观察期间,我们记录了212(49%)例可卡因和103(24%)例海洛因汗液斑,192(44%)例可卡因和161(37%)例海洛因ACASI调查,163(37%)例可卡因和145(33%)例海洛因EMA报告。EMA和汗液贴片方法之间的百分比一致性为70%可卡因使用和72%海洛因使用,而EMA和ACASI方法之间的百分比一致性为77%可卡因使用和79%海洛因使用。EMA与汗液贴片和ACASI方法相比,药物使用的误报因非法药物类型而异。我们的工作表明,EMA在捕获非法药物使用方面与生物和标准自我报告方法的一致性中等至良好。每种方法都有局限性,准确性可能因所使用的非法药物类型而异。
The use of mHealth methods for capturing illicit drug use and associated behaviors have become more widely used in research settings, yet there is little research as to how valid these methods are compared to known measures of capturing and quantifying drug use. We examined the concordance of ecological momentary assessment (EMA) of drug use to previously validated biological and audio-computer assisted self-interview (ACASI) methods. The Exposure Assessment in Current Time (EXACT) study utilized EMA methods to assess drug use in real-time in participants’ natural environments. Utilizing mobile devices, participants self-reported each time they used heroin or cocaine over a 4-week period. Each week, PharmChek sweat patch samples were collected for measurement of heroin and cocaine and participants answered an ACASI-based questionnaire to report behaviors and drug using events during the prior week. Reports of cocaine and heroin use captured through EMA were compared to weekly biological or self-report measures through percent agreement and concordance correlation coefficients to account for repeated measures. Correlates of discordance were obtained from logistic regression models. A total of 109 participants were a median of 48.5 years old, 90% African American, and 52% male. During 436 person-weeks of observation, we recorded 212 (49%) cocaine and 103 (24%) heroin sweat patches, 192 (44%) cocaine and 161 (37%) heroin ACASI surveys, and 163 (37%) cocaine and 145 (33%) heroin EMA reports. The percent agreement between EMA and sweat patch methods was 70% for cocaine use and 72% for heroin use, while the percent agreement between EMA and ACASI methods was 77% for cocaine use and 79% for heroin use. Misreporting of drug use by EMA compared to sweat patch and ACASI methods were different by illicit drug type. Our work demonstrates moderate to good agreement of EMA to biological and standard self-report methods in capturing illicit drug use. Limitations occur with each method and accuracy may differ by type of illicit drugs used.