Protecting Native Families from COVID-19: Radx Initiative

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

Grant number: 3U19MH113136-04S2

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2017
    2022
  • Known Financial Commitments (USD)

    $3,517,791
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Mary Cwik
  • Research Location

    United States of America
  • Lead Research Institution

    Johns Hopkins University
  • Research Priority Alignment

    N/A
  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Approaches to public health interventions

  • Special Interest Tags

    Digital Health

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)Older adults (65 and older)

  • Vulnerable Population

    Drug usersMinority communities unspecified

  • Occupations of Interest

    Unspecified

Abstract

PROJECT Summary: White Mountain Apache-Navajo-JHU research partners are uniquely positioned and prepared to advance COVID-19prevention science through the Emergency Competitive Revisions for Community-Engaged Research on COVID-19Testing among Underserved and/or Vulnerable Populations (NOT-OD-20-121). Since April 2020, we have implementedcomprehensive COVID-19 mitigation activities with Navajo and White Mountain Apache nations, who have had thehighest rates in the US, and honed capacity for home-testing and obtaining rapid results. Our experience and datareview with tribal divisions of health and the Indian Health Service has uncovered barriers to testing, protectivebehaviors, isolation and care-seeking among two high risk sub-groups that must be addressed for successfulmitigation. The first group are elders, ages >65, who have the highest case fatality rate in both communities and aredeeply revered as teachers of cultural practices and languages. A significant portion of elders are currently resistant totesting due to cultural beliefs and fear, and slow to seek care when symptoms worsen. The second group are youngadults, ages 18-34, using substances, who have the highest proportion of cases per capita, are less likely to social-distance or isolate, and are more transient, moving among multi-generational households. This project will apply a 2x2factorial design to evaluate two interventions for these high-risk groups: 1) a culturally tailored, age-specificMotivational Interviewing (MI) intervention to promote testing, protective behaviors and appropriate isolation andcare-seeking, and 2) a COVID-19 symptom (CS) text-based monitoring system designed to shorten time betweensymptom onset and testing, while incorporating GIS to assist with route-mapping for home-based follow-up. MI hasstrong evidence in American Indian communities, including our team's proven MI intervention for improved STI/HIVtesting. The CS System builds on our experience with mobile health surveillance and embedded GIS/GPS tracking. Ourthree primary aims are: 1: Use Community Based Participatory Research to apply knowledge of relevant facilitators andbarriers to create, pilot, implement, and evaluate through an RCT a culturally tailored brief MI intervention to promoteCOVID-19 testing when experiencing symptoms, appropriate preventive behaviors, and isolation and care-seeking whenpositive among elders (ages >65 years) and young adults with a recent history of substance misuse; 2: Implement andevaluate through a RCT a daily CS monitoring system with alerts, mechanisms for participants to request home-testingwhen experiencing first symptoms, and GIS routing for those responding to text-based alerts; and 3: Evaluate therelative merits of MI or CS alone or combined on testing and time to testing when experiencing symptoms, andadherence to isolation and care-seeking recommendations when positive using a 2x2 factorial design. Our secondaryaims will explore if a) cultural identity and connectedness; b) substance use or mental health factors (depression,anxiety, suicidality); and c) age and sex moderate intervention response. If aims are achieved, we will make rapidadvances in diagnostic testing strategies for the most underserved and high-risk populations in the US.