Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT05139927 |
Other study ID # |
IRB-FY2022-6023 |
Secondary ID |
|
Status |
Recruiting |
Phase |
Phase 2
|
First received |
|
Last updated |
|
Start date |
June 1, 2022 |
Est. completion date |
March 1, 2024 |
Study information
Verified date |
May 2023 |
Source |
New York University |
Contact |
Marya Gwadz, PhD |
Phone |
212-998-5968 |
Email |
mg2890[@]nyu.edu |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
COVID-19 testing is essential to controlling the COVID-19 pandemic to break transmission
chains and reduce community transmission. However, Black and Latino/Hispanic populations in
lower status frontline essential occupations such as food preparation, retail, building
maintenance, personal services, and in-home health care have serious barriers to COVID-19
testing and, therefore, insufficient testing rates. The proposed study will use the
multiphase optimization strategy framework to address the problem of low COVID-19 testing
rates for this population: We will test the effects of four distinct candidate intervention
components and then create an efficient multicomponent made up of the most effective
combination of the components that can be rapidly scaled up in community settings to boost
COVID-19 testing rates.
Description:
The proposed study responds to RFA-OD-21-008 which calls for community-engaged interventions
to support COVID-19 testing in underserved and vulnerable populations. Among those at highest
risk for exposure to COVID-19 is the large population of frontline essential workers (FEW) in
lower status occupations (e.g., retail, in-home health care), among whom Black and
Latino/Hispanic (BLH) persons are over-represented. The CDC recommends testing for all those
experiencing symptoms of COVID-19. For those not vaccinated, testing is recommended after
exposure to individuals with a COVID-19 diagnosis, and regular COVID-19 screening testing is
recommended even when asymptomatic for those with frequent close contact with others in
indoor settings such as FEW. However, BLH-FEW experience serious impediments to COVID-19
testing at individual/attitudinal- (e.g., lack of knowledge of guidelines, distrust), social-
(e.g., social norms), and structural-levels of influence (e.g., poor access to testing).
Indeed, testing rates are lower among BLH than White populations and only 25-50% of BLH-FEW
are currently vaccinated. The proposed community-engaged study is led by a collaborative team
at New York University and the Northern Manhattan Improvement Corporation (NMIC). Its main
goal is to optimize a behavioral intervention to boost COVID-19 testing rates for BLH-FEW.
Consistent with RFA-OD-21-008, the proposed study uses the multiphase optimization strategy
(MOST) framework to test four candidate intervention components grounded in our past
research. The candidate components are informed by critical race theory and guided by the
theory of triadic influence, are brief or do not require substantial staff time, and will be
tested in a highly efficient factorial experimental design. They are A) motivational
interview counseling, B) a text message component grounded in behavioral economics, C) peer
education, and D) access to testing (via navigation to a test appointment vs. a self-test
kit). All participants receive the standard of care, namely, health education on COVID-19
testing, and referrals. The specific aims of the study are to: identify which of four
candidate components contribute meaningfully to improvement in the primary outcome, COVID-19
testing with medical confirmation; the most effective combination of components will comprise
the "optimized" intervention (Aim 1), identify mediators (e.g., distrust, access) and
moderators (e.g., sociodemographic characteristics) of the effects of each component (Aim 2),
and use a mixed-methods approach to explore relationships among barriers to, facilitators of,
and uptake of COVID-19 testing and COVID-19 vaccination (Aim 3). Participants will be N=448
BLH-FEW who have not been tested for COVID-19 in the past three months and have not been
vaccinated for COVID-19 in the past 12 months, randomly assigned to an intervention
condition, and assessed at 6- and 12-weeks post-baseline; N=50 participants will engage in
qualitative in-depth interviews. We will also uncover, describe, and plan for implementation
issues so the optimized intervention can be rapidly scaled up by NMIC and other
community-based organizations.