The Johns Hopkins Center for AIDS Research (JHU CFAR) RADx-UP

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3P30AI094189-09S1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2022
  • Known Financial Commitments (USD)

    $3,222,658
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Richard E Chaisson
  • Research Location

    United States of America
  • Lead Research Institution

    Johns Hopkins University
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Randomized Controlled Trial

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Minority communities unspecified

  • Occupations of Interest

    Unspecified

Abstract

Project Summary: The novel Severe Acute Respiratory Syndrome (SARS) Coronavirus 2 (SARS-CoV-2or COVID-19) pandemic has exacted a grievous toll on human existence exacerbating underlying disparities and disproportionately impacting minority, impoverished and elderly populations. Moreover, testing and contact tracing have been identified as critical for reducing community transmission, yet uneven access by race/ethnicity, income and geography limit effectiveness. Proposed is a cluster-randomized trial of testing modalities with longitudinal follow-up in an urban city with COVID-19 disparities illustrative of national trends. We propose the following Specific Aims: 1) To determine multilevel (socioeconomic, behavioral) barriers and facilitators to SARS-CoV-2 testing using a population representative sample of households in Baltimore, MD; 2) To define the optimal SARS-CoV-2 testing modality for maximizing testing acceptance, uptake andtimeliness of providing results through a cluster-randomized comparative effectiveness trial; 3) To evaluate the impact of testing modality and receipt of positive results on subsequent testing behavior and other behavioral,economic and clinical outcomes; and 4) To serve as a platform for future investigations related to SARS-CoV-2 transmission and COVID-19-associated morbidity and mortality. We will recruit a population representative sample of ~1,300 households in Baltimore City. Two-stage sampling will select census block groups (CBGs) and households within CBGs with oversampling to ensure representation of vulnerable groups. Of 105 selected CBGs, 36 clusters will be allocated in a stratified randomization approach to one of three testing modalities including: 1) self-administered home collection (swab/saliva/blood) kit sent to home with returnpackaging; 2) referral to a community-based mobile testing van; or 3) referral to the nearest fixed testing site (as optimized standard of care). All household members will be randomized to the same modality. The primary outcome will be timely completion of testing and receipt of results; secondary outcomes will include the proportion undergoing testing, and time from testing to receipt of results. During six months of follow-up, we will monitor households for new onset COVID-19 symptoms and exposures and if evident, offer re-testing by previously assigned modality. In addition to testing outcomes described in Aim 2, we will examine individual and household-level behavioral (e.g., adherence to self-isolation, social distancing, mask wearing), economic(e.g., unemployment, time to return to work, housing instability), and clinical outcomes (e.g., severity ofinfection, hospitalization, mortality - endpoints which can uniquely be captured systematically through linkagewith a Maryland State health information exchange linkage. High-quality evidence from this comprehensiveeffort will identify multifactorial drivers of testing disparities, provide rigorous data for the most effective testing strategies, and longitudinally monitor behavioral, economic and clinical impact of testing uptake and modality.Ultimately, we will inform national and local large-scale testing programs critical for pandemic control.