ACCESS (American COVID-19 Collaborative, Enabling Seamless Science) Master Digital Surveillance and Associated Clinical Trials Protocol for COVID-19
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 260
- 试验地点
- 1
- 主要终点
- Development of population-based models of disease risk
研究概览
简要总结
ACCESS enables individuals to contribute to critical research, via an iOS and Android smartphone mobile application. ACCESS combines patient reported outcomes, data from wearable devices and real-world data (such as claims, EHRs, etc), with an opt-in to participate in current and future studies for diagnostics, treatments and vaccines. The data that people share can be quickly and anonymously matched to research studies, providing researchers with a foundational framework for dynamic research at scale and participants a way to be personally matched and prescreened for future research.
详细描述
In the urgency of the COVID-19 outbreak, Medable will enable an observational study protocol under which clinical trials can rapidly be conducted. The observational study protocol will include the conduct of smartphone based research to capture an essential dataset to improve our understanding of disease evolution, risk factors, and outcomes as well as enable population-based monitoring to reduce the spread of disease. Under this protocol, sub-studies and clinical trials can be conducted for interventions, including vaccine trials. The work may include new tools such as surface environmental or personal swabs to test for presence or absence of disease. Data collection efforts on behalf of rapidly evolving multiple study designs and participant opt-in data sharing, will enable the compilation of critical epidemiological and other data across the United States to accelerate the understanding for effective mitigation and treatment of COVID-19.
ACCESS (American COVID-19 Collaborative Enabling Seamless Science), a novel COVID-19 digital research infrastructure, provides a mobile app tool for participants to report specific data and facilitate remote access to accelerate critical research and clinical treatment development.
ACCESS leverages leading digital health technologies to facilitate at-home research, clinical trials, and population-based long-term outcome studies and data de-identification measures (data coding/tokenization). The infrastructure combines opt-in wearable sensors, patient reported data and outcomes, opt-in data aggregation and additional opportunities for users to participate in clinical trials and share their de-identified data based upon reported information.
Prior to COVID-19, the FDA expressed an interest in expediting drug development through developing trial designs that test multiple drugs and/or multiple subpopulations in parallel under a single protocol, without a need to develop new protocols for every trial. This has become even more important during the COVID-19 pandemic. This type of work will also be enabled under the ACCESS system.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Aged 18 years or older
- •Able to provide electronic informed consent
- •US Resident
- •Read and comprehend English
排除标准
- •Do not have a personal smartphone
结局指标
主要结局
Development of population-based models of disease risk
时间窗: Up to 10 years
To use multifaceted participant data consisting of participant reported outcomes, environmental surface and presence or absence of COVID-19 based on testing results, prescription medications (including off-label use), claims, lab, and medical record data to develop population-based models of disease risk, short and long-term outcomes, and efficacy of interventions and prevention measures.
Relation between disease burden and geolocation
时间窗: Up to 10 years
To leverage geolocation and lab results to provide population-level real-time data regarding disease burden at the community, state and national levels.
Effect of medications on symptoms of COVID19
时间窗: Up to 10 years
To specifically identify medications and regimens that address disease symptoms
Effect of medications on disease severity of COVID19
时间窗: Up to 10 years
To specifically identify medications and regimens that treat and reduce disease severity.
次要结局
- Long-term follow up and recontact(Up to 10 years)
- Rate of COVID19 infection and disease outcomes(Up to 10 years)
- Effect of COVID19 on health outcomes(Up to 10 years)
