Using the Multiphase Optimization Strategy (MOST) to Optimize an Intervention to Increase COVID-19 Testing for Black and Latino/Hispanic Frontline Essential Workers

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. For those not vaccinated for COVID, 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 and testing
rates are lower among BLH than White populations. This community-engaged study was led by a collaborative team at New York University and the Northern Manhattan Improvement Corporation (NMIC). Its main goal was to optimize a behavioral intervention to boost COVID-19 testing rates for BLH-FEW. Consistent with RFA-OD-21-008, the study used the multiphase optimization strategy (MOST) framework to test four candidate intervention components grounded in past research. Participants will be N=448 BLH-FEW who have not been tested for COVID-19 in the past six months and who are not vaccinated for COVID-19, randomly assigned to an intervention condition, and assessed at 6- and 12-weeks post-baseline.