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开发精神科数字医学系统:摄入检测率和延迟期。

Developing a Digital Medicine System in Psychiatry: Ingestion Detection Rate and Latency Period.

作者信息

Profit Deborah, Rohatagi Shashank, Zhao Cathy, Hatch Ainslie, Docherty John P, Peters-Strickland Timothy S

机构信息

Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Blvd, Ste 300, Princeton, NJ 08540.

Clinical Research & Development, Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, New Jersey, USA.

出版信息

J Clin Psychiatry. 2016 Sep;77(9):e1095-e1100. doi: 10.4088/JCP.16m10643.

Abstract

BACKGROUND

A digital medicine system (DMS) has been developed to measure and report adherence to an atypical antipsychotic, aripiprazole, in psychiatric patients. The DMS consists of 3 components: ingestible sensor embedded in a medication tablet, wearable sensor, and secure mobile and cloud-based applications. An umbrella study protocol was designed to rapidly assess the technical performance and safety of the DMS in multiple substudies to guide the technology development.

METHODS

Two sequential substudies enrolled 30 and 29 healthy volunteers between March-April 2014 and February-March 2015, respectively, to assess detection accuracy of the ingestible sensor by the DMS and the latency period between ingestion and detection of the ingestion by the wearable sensor or the cloud-based server.

RESULTS

The first substudy identified areas for improvement using early versions of the wearable sensor and the mobile application. The second substudy tested updated versions of the components and showed an overall ingestion detection rate of 96.6%. Mean latency times for the signal transmission were 1.1-1.3 minutes (from ingestion to the wearable sensor detection) and 6.2-10.3 minutes (from the wearable sensor detection to the server detection). Half of transmissions were completed in < 2 minutes, and ~90% of ingestions were registered by the smartphone within 30 minutes of ingestion. No serious adverse events, discontinuations, or clinically significant laboratory/vital signs findings were reported.

CONCLUSIONS

The DMS implementing modified versions of the smartphone application and the wearable sensor has the technical capability to detect and report tablet ingestion with high accuracy and acceptable latency time.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT02091882.

摘要

背景

已开发出一种数字医学系统(DMS),用于测量和报告精神病患者对非典型抗精神病药物阿立哌唑的依从性。该DMS由三个组件组成:嵌入药片中的可摄入传感器、可穿戴传感器以及安全的移动和基于云的应用程序。设计了一项综合研究方案,以在多个子研究中快速评估DMS的技术性能和安全性,从而指导技术开发。

方法

两项连续的子研究分别于2014年3月至4月和2015年2月至3月招募了30名和29名健康志愿者,以评估DMS对可摄入传感器的检测准确性以及可穿戴传感器或基于云的服务器在摄入药物与检测到摄入之间的延迟时间。

结果

第一项子研究使用可穿戴传感器和移动应用程序的早期版本确定了需要改进的方面。第二项子研究测试了组件的更新版本,总体摄入检测率为96.6%。信号传输的平均延迟时间为1.1 - 1.3分钟(从摄入到可穿戴传感器检测)和6.2 - 10.3分钟(从可穿戴传感器检测到服务器检测)。一半的传输在<2分钟内完成,约90%的摄入在摄入后30分钟内被智能手机记录。未报告严重不良事件、停药情况或具有临床意义的实验室/生命体征结果。

结论

实施了智能手机应用程序和可穿戴传感器修改版本的DMS具有以高精度和可接受的延迟时间检测和报告药片摄入情况的技术能力。

试验注册

ClinicalTrials.gov标识符:NCT02091882。

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