COVID-19 Clinical Trial
— ACCESSOfficial title:
ACCESS (American COVID-19 Collaborative, Enabling Seamless Science) Master Digital Surveillance and Associated Clinical Trials Protocol for COVID-19
Verified date | April 2020 |
Source | Medable Inc. |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 260 |
Est. completion date | December 31, 2022 |
Est. primary completion date | December 31, 2022 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Aged 18 years or older 2. Able to provide electronic informed consent 3. US Resident 4. Read and comprehend English Exclusion Criteria: 1. Do not have a personal smartphone |
Country | Name | City | State |
---|---|---|---|
United States | Medable Inc. | Palo Alto | California |
Lead Sponsor | Collaborator |
---|---|
Medable Inc. | American Heart Association, BioIntelliSense, Datavant, PWNHealth |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Development of population-based models of disease risk | 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. | Up to 10 years | |
Primary | Relation between disease burden and geolocation | To leverage geolocation and lab results to provide population-level real-time data regarding disease burden at the community, state and national levels. | Up to 10 years | |
Primary | Effect of medications on symptoms of COVID19 | To specifically identify medications and regimens that address disease symptoms | Up to 10 years | |
Primary | Effect of medications on disease severity of COVID19 | To specifically identify medications and regimens that treat and reduce disease severity. | Up to 10 years | |
Secondary | Rate of COVID19 infection and disease outcomes | To identify regional variations in disease incidence and outcomes. | Up to 10 years | |
Secondary | Effect of COVID19 on health outcomes | To understand long-term outcomes such as risk of pulmonary and cardiovascular disease complications. | Up to 10 years | |
Secondary | Long-term follow up and recontact | To conduct long-term follow up of individuals who tested positive for COVID-19 compared to demographically matched individuals that did not. | Up to 10 years |
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