Department of Biostatistics & Programming, H. Lundbeck A/S, Copenhagen, Denmark.
Department of PKPD Modelling & Simulation, H. Lundbeck A/S, Copenhagen, Denmark.
Clin Trials. 2021 Aug;18(4):505-510. doi: 10.1177/17407745211012683. Epub 2021 May 2.
The use of electronic-based devices to measure and to improve adherence of subjects in clinical trials is increasing. AiCure has developed a mobile technology that is claimed to provide visual confirmation of drug ingestion. While there is evidence suggesting that including such self-monitoring device in a study increases adherence, the quality of the data produced by the device may be questionable. Can the mobile technology reliably distinguish whether a subject takes the study drug or not?
Adherence was calculated based on exposure, self-reporting and self-monitoring for subjects randomized to an anti-depressant. Levels of adherence and agreement between the three approaches were investigated based on calculation of proportions, two-way tables and receiver operating curves.
A total of 214 subjects had measured concentrations of study drug at all three time points (end of weeks 3, 4 and 5), along with adherence data to define proportion of days adherent based on self-reporting and the self-monitoring instrument developed by AiCure. Self-reported adherence proportions were higher than self-monitored adherence proportions, although both were high (>90%). Neither self-reported and self-monitored adherence agreed with exposure-based adherence.
Both self-reported and self-monitored adherence overestimated adherence. Neither the self-reported nor the self-monitored adherence measure reflected subjects' actual adherence. This prompts for cautiousness when interpreting either of them, and it underlines the need for thorough validation of electronic devices and software that claims to measure adherence. The AiCure instrument may not be able to reliably determine whether the subjects swallow the study medication.
使用基于电子的设备来测量和提高临床试验中受试者的依从性正在增加。AiCure 开发了一种移动技术,据称可以提供药物摄入的视觉确认。虽然有证据表明在研究中包含这种自我监测设备可以提高依从性,但设备产生的数据的质量可能值得怀疑。移动技术是否能可靠地区分受试者是否服用研究药物?
根据抗抑郁药物随机分组的受试者的暴露情况、自我报告和自我监测来计算依从性。根据比例、双向表和接收者操作曲线计算,研究了三种方法的依从性和一致性。
共有 214 名受试者在所有三个时间点(第 3、4 和 5 周结束时)都测量了研究药物的浓度,以及依从性数据,以根据自我报告和 AiCure 开发的自我监测仪器来定义依从性的比例。自我报告的依从性比例高于自我监测的依从性比例,尽管两者都很高(>90%)。自我报告和自我监测的依从性都与基于暴露的依从性不一致。
自我报告和自我监测的依从性都高估了依从性。自我报告和自我监测的依从性都没有反映出受试者的实际依从性。因此,在解释这两种方法时应谨慎,并强调需要对声称测量依从性的电子设备和软件进行彻底验证。AiCure 仪器可能无法可靠地确定受试者是否吞下了研究药物。