ID-Cap System: Next generation ingestible sensors for medication adherence measurement

ID-Cap 系统:用于药物依从性测量的下一代可摄入传感器

基本信息

  • 批准号:
    10475453
  • 负责人:
  • 金额:
    $ 25.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-05-04 至 2024-04-30
  • 项目状态:
    已结题

项目摘要

ABSTRACT Nonadherence to medication therapy results in significant morbidity and mortality across the world. In the United States, medication nonadherence results in $528 billion of annual costs to healthcare to manage consequences associated with nonadherence including progression of chronic disease. For medication regimens like HIV pre-exposure prophylaxis (PrEP) and antiretroviral therapy (ART), morbidity associated with nonadherence includes acquisition and transmission of HIV, opportunistic infections, and exacerbation of chronic HIV related comorbidities. In order to understand adherence and mitigate nonadherence, new direct adherence tools that confirm ingestion events are needed. Current indirect measures detect surrogate indicators of adherence like self-report, pill counting, or electronic adherence devices that detect the opening of pill bottles. These methods suffer from recall bias and often provide an incomplete measure of adherence. In contrast, direct measures, such as directly observed or video observed therapy that utilizes a clinician or healthcare worker to visually confirm medication ingestion, can verify medication ingestion events. Yet, these direct methods are expensive, require personnel, and are therefore difficult to scale. Direct confirmation of drug concentration in serum or hair may be used as evidence of medication adherence, but these methods require specialized analysis techniques and provide overall adherence which may overlook periods of suboptimal adherence. In response to the limitations of both indirect and direct measures of adherence, digital pills—an ingestible radiofrequency emitter and gelatin capsule which over encapsulates the desired medication— represent a tool that can directly confirm medication ingestions and innovatively provide feedback to both the user and care team. In 2019, etectRx received FDA 510K clearance for the ID-Cap, a digital pill system that directly measures medication adherence in real-time. Through K23DA044874 and independent investigator- initiated research grants from Gilead Sciences, we have demonstrated the feasibility of using the ID-Cap System among individuals to measure adherence to PrEP and opioids. During these investigations, we discovered widespread interest among patients in optimizing the system by developing a wrist-borne wearable Reader to collection adherence information from the digital pill. This Phase I SBIR therefore develops the next- generation ID-Cap System with a wrist-borne wearable reader. In Aim 1, we will miniaturize the current version of the Reader and conduct laboratory testing to ensure all components are functional and acquire signal from ingested digital pills. Next, in Aim 2, we will conduct an open-label pilot demonstration trial to understand the real-world usability of the next generation ID-Cap System among N=30 individuals on PrEP (N=15) and ART (N=15). Our benchmarks for success, the development of a miniaturized wrist-worn reader and demonstration of usability in a clinical trial, will optimally position us to advance commercialization efforts at etectRx in the context of a Phase II SBIR.
抽象的 对药物治疗的不遵守会导致全世界的重要死亡率 美国,医疗不遵守导致医疗保健的年度为5280亿美元 与不依从性有关的后果,包括慢性疾病的进展 与HIV预防前预防(PREP)和抗逆转录治疗(ART)等方案,与之相关的病态。 不遵守包括艾滋病毒的收购和传播,机会性感染以及加剧 慢性艾滋病毒相关的合并症。 需要确认摄入事件的依从性工具。 依从性的指标,例如自我报告,药丸计数或电子依从设备,以检测开口 这些方法遭受了召回偏见,并且经常提供依从性 对比,直接观察到的直接措施或使用临床医生或 医疗保健工作者可以在视觉上确认药物摄入,可以验证药物摄入事件 直接方法很昂贵,需要人员,因此很难直接确认药物。 血清或头发的浓度可以用作鼻食药物的证据,但这些方法需要 专业分析技术并提供总体依从性,这可能会忽略次优时期 依从性。 可摄入的射频发音仪和明胶胶囊,这些囊封装了所需的药物 - 代表一个直接确认药物摄入的药物,并创新地将其反馈给两者 用户和护理团队在2019年。 直接测量通过K23DA044874和独立研究者的药物依从性。 我们从吉利德科学(Gilead Science)发起了研究赠款,我们已经证明了使用ID-CAP的备受推验 个体之间的系统,以衡量对Pro PrEP和阿片类药物的依从性。 通过开发腕带可穿戴状 读者从数字药中收集依从性信息。 带有腕带式读取器的ID-CAP系统。 读取器和塑性测试的测试,以确保所有组件都具有功能并从中获取信号 摄入的数字药。 N = 30个人在Prep(n = 15)和ART上的N = 30个人中的下一代ID-ap系统的现实世界可用性 (n = 15)。 在临床试验中的可用性,将最佳地定位我们在Etectrx上推进通讯范围 II期SBIR的上下文。

项目成果

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Tony Chris Carnes其他文献

Tony Chris Carnes的其他文献

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{{ truncateString('Tony Chris Carnes', 18)}}的其他基金

Fast-Track Multimodal monitoring for neonatal neurocritical care
新生儿神经重症监护的快速多模式监测
  • 批准号:
    10601201
  • 财政年份:
    2023
  • 资助金额:
    $ 25.93万
  • 项目类别:
Ensuring medication ingestion without altering existing medication regimen
确保药物摄入而不改变现有的药物治疗方案
  • 批准号:
    10384824
  • 财政年份:
    2022
  • 资助金额:
    $ 25.93万
  • 项目类别:

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