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-19Start & end year
20172022Known Financial Commitments (USD)
$3,517,791Funder
National Institutes of Health (NIH)Principal Investigator
Mary CwikResearch Location
United States of AmericaLead Research Institution
Johns Hopkins UniversityResearch 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.