Rohatagi Shashank, Profit Deborah, Hatch Ainslie, Zhao Cathy, Docherty John P, Peters-Strickland Timothy S
Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Blvd, Princeton, NJ 08540.
Otsuka Pharmaceutical Development & Commercialization, Inc, Princeton, New Jersey, USA.
J Clin Psychiatry. 2016 Sep;77(9):e1101-e1107. doi: 10.4088/JCP.16m10693.
Nonadherence to medication compromises the effectiveness of psychiatric treatments in patients with serious mental illness (SMI). A newly developed digital medicine system (DMS) offers an opportunity to objectively assess and report patient medication adherence. DMS includes a wearable sensor that receives a data signal from a medication tablet with an embedded ingestible sensor after ingestion of the medication and transmits that data to the patient's mobile device to display health care information for the patient and treatment team.
METHODS/RESULTS: Development of a DMS requires a program that investigates safety, tolerability, and usability of the system in patients with SMI. It necessitates rapid design adaptation of the individual components and the integrated system and human factors studies with the intended users. This article describes the program's methodology and shows results from 3 early studies, conducted in 2013 and 2014, to illustrate diversity of the programs' methodology. First, a standard 28-day study showed minimal skin irritation and demonstrated acceptable wearability of the wearable sensor. Second, a 16-week study provided usability feedback from patients with SMI and caregivers to improve the mobile application. Third, end-to-end bench-level integrated system testing led to multiple substudies of a master protocol (ClinicalTrials.gov identifier: NCT02091882) to investigate various aspects of the system (eg, ingestible sensor detection and latency).
To develop a DMS in psychiatry, the system's multiple components must be considered simultaneously using various methodologies. A focus on usability, along with agile evaluation and feedback across studies, provides an optimal strategy for ensuring patient acceptance and successful regulatory review.
不坚持服药会影响严重精神疾病(SMI)患者的精神治疗效果。新开发的数字医学系统(DMS)为客观评估和报告患者的药物依从性提供了契机。DMS包括一个可穿戴传感器,该传感器在药物摄入后从含有嵌入式可摄入传感器的药片中接收数据信号,并将该数据传输到患者的移动设备,以便为患者和治疗团队显示医疗保健信息。
方法/结果:开发DMS需要一个程序来研究该系统在SMI患者中的安全性、耐受性和可用性。这需要对各个组件和集成系统进行快速的设计调整,并对目标用户进行人因学研究。本文描述了该程序的方法,并展示了2013年和2014年进行的3项早期研究的结果,以说明该程序方法的多样性。首先,一项标准的28天研究显示皮肤刺激最小,并证明了可穿戴传感器的可接受的可穿戴性。其次,一项为期16周的研究提供了SMI患者及其护理人员的可用性反馈,以改进移动应用程序。第三,端到端的工作台级集成系统测试导致了一项主方案(ClinicalTrials.gov标识符:NCT02091882)的多项子研究,以调查该系统的各个方面(例如,可摄入传感器检测和延迟)。
要在精神病学领域开发DMS,必须使用各种方法同时考虑系统的多个组件。关注可用性,以及跨研究的敏捷评估和反馈,为确保患者接受和成功的监管审查提供了最佳策略。