Communities Fighting COVID-19!

June 13, 2024 updated by: Susan M Kiene, San Diego State University

Communities Fighting COVID!

To create and evaluate effective COVID-19 testing uptake strategies that focus on underserved individuals who are exposed but have not accessed testing, and underserved individuals who are not routinely tested because they are unaware of their exposure or risk status in order to increase testing among these populations and reduce Covid-19 related disparities.

Study Overview

Detailed Description

Communities Fighting COVID is a partnership between San Diego State's School of Public Health and numerous communities in San Diego focused on providing community-based testing to specific language-speaking communities and vulnerable populations. This partnership is funded by the National Institutes of Health (NIH) Rapid Acceleration of Diagnostics-Undeserved Populations (Radx-UP), with the aim of ensuring all Americans have access to timely COVID-19 testing and diagnosis. Many communities, particularly immigrant and people of color communities, have a harder time accessing existing COVID-19 resources due to transportation, language barriers, or other barriers.

Study Type

Interventional

Enrollment (Actual)

32750

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • San Diego, California, United States, 92182
        • Contact Households

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 120 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • African American, Arabic speaking, Filipino, and Latino/a populations

Exclusion Criteria:

  • Younger than 6, not in focus populations

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: At home testing (Aim 1)
High-risk friends and family of contacts exposed to COVID-19 will be provided with COVID-19 testing provided at home by a healthcare worker.
Implementation of Antigen and PCR testing at participant homes
Active Comparator: Mobile testing (Aim 1)
High-risk friends and family of contacts exposed to COVID-19 will be referred to study operated mobile testing sites in the community for COVID-19 testing.
Implementation of Antigen and PCR testing at mobile test sites
Other: Mobile testing approach 1 (Aim 2)
Mobile testing utilizing active outreach
Implementation of Antigen and PCR testing at mobile test sites - active outreach
Other: Mobile testing approach 2 (Aim 2)
Mobile testing utilizing baseline outreach approaches
Implementation of Antigen and PCR testing at mobile test sites - baseline outreach

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Test uptake
Time Frame: Through study completion, expected to be 20 months
Testing volume by study arm as cumulative count per hours testing site operated
Through study completion, expected to be 20 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Test access
Time Frame: Through study completion, expected to be 20 months
Proportion of individuals by study arm who note that this strategy has facilitated ability to test.
Through study completion, expected to be 20 months
Test Impact (COVID-19 diagnoses)
Time Frame: Through study completion, expected to be 20 months
Proportion of COVID-19 diagnoses of those tested by study arm
Through study completion, expected to be 20 months
Test Impact (number needed to screen)
Time Frame: Through study completion, expected to be 20 months
Number needed to screen (number tested in order to detect one new infection).
Through study completion, expected to be 20 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Susan M Kiene, PhD, San Diego State University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 25, 2020

Primary Completion (Actual)

August 25, 2023

Study Completion (Actual)

August 25, 2023

Study Registration Dates

First Submitted

March 31, 2021

First Submitted That Met QC Criteria

December 3, 2021

First Posted (Actual)

December 8, 2021

Study Record Updates

Last Update Posted (Actual)

June 14, 2024

Last Update Submitted That Met QC Criteria

June 13, 2024

Last Verified

June 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Plan to share with Rad-X UP Coordinating Center

IPD Sharing Time Frame

Shared on a periodic basis. RPPR shared with NIH on a 6-month basis

IPD Sharing Access Criteria

Anonymized data access

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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