The proposed study responds to the need for community-engaged interventions to increasevaccine uptake among populations experiencing health disparities. We focus on COVID-19and influenza vaccination, both of which now require annual vaccines. Among those athighest risk for morbidity, hospitalization, and mortality are African American/Black andLatino (ABBL) persons who are not up-to-date on these vaccinations. Only 20-28% of adultAABL persons are up-to-date on COVID-19 vaccination, compared to 31% of White persons,and only 30-40% of AABL persons receive the influenza vaccine annually compared to>55% among White persons. AABL experience serious impediments to COVID-19 (and toa lesser extent, influenza) vaccination at individual- (e.g., distrust, insufficientknowledge, low perceived risk, cognitive biases), social- (e.g., peer norms), andstructural-levels of influence (e.g., poor access). Taken together, these comprisemulti-level vaccine hesitancy. Factors that promote vaccination include trusted AABLhealth educators (peers, nurses), tapping into altruism and collective responsibility,circumventing cognitive biases, and reducing structural barriers. Without efforts toaddress multi-level vaccine hesitancy, rates of COVID-19 and influenza vaccination willremain unacceptably low and racial/ethnic health disparities in infectious diseasemorbidity and mortality will persist. The proposed study is led by a collaborative teamat New York University and the Northern Manhattan Improvement Corporation. It uses themultiphase optimization strategy (MOST), an engineering-inspired framework, to testeffects of individual candidate intervention components in a factorial design and thenoptimize a multi-component intervention made up of the most cost-effective combination ofcomponents. Staying up-to-date with COVID-19 vaccination (confirmed with documentaryevidence) is the primary outcome, and influenza vaccination is the secondary outcome. Wehave identified four promising candidate components, with an emphasis on brevity,low-touch, and future scalability: A) nurse-led shared decision making, B) a text messageintervention, C) modest lottery prizes for vaccination, and D) peer navigation tovaccination appointments. Participants will be N=560 community-residing adult English andSpanish-speaking AABL persons who are not up-to-date on COVID-19 and influenzavaccinations but with at least one COVID-19 vaccine dose.
The proposed study responds to the need for community-engaged interventions to increase
vaccine uptake among populations experiencing health disparities. We focus on COVID-19
and influenza vaccination, both of which now require annual vaccines. Among those at
highest risk for morbidity, hospitalization, and mortality are African American/Black and
Latino (ABBL) persons who are not up-to-date on these vaccinations. Only 20-28% of adult
AABL persons are up-to-date on COVID-19 vaccination, compared to 31% of White persons,
and only 30-40% of AABL persons receive the influenza vaccine annually compared to
>55% among White persons. AABL experience serious impediments to COVID-19 (and to
a lesser extent, influenza) vaccination at individual- (e.g., distrust, insufficient
knowledge, low perceived risk, cognitive biases), social- (e.g., peer norms), and
structural-levels of influence (e.g., poor access). Taken together, these comprise
multi-level vaccine hesitancy. Factors that promote vaccination include trusted AABL
health educators (peers, nurses), tapping into altruism and collective responsibility,
circumventing cognitive biases, and reducing structural barriers. Without efforts to
address multi-level vaccine hesitancy, rates of COVID-19 and influenza vaccination will
remain unacceptably low and racial/ethnic health disparities in infectious disease
morbidity and mortality will persist. The proposed study is led by a collaborative team
at New York University and the Northern Manhattan Improvement Corporation. It uses the
multiphase optimization strategy (MOST), an engineering-inspired framework, to test
effects of individual candidate intervention components in a factorial design and then
optimize a multi-component intervention made up of the most cost-effective combination of
components. Staying up-to-date with COVID-19 vaccination (confirmed with documentary
evidence) is the primary outcome, and influenza vaccination is the secondary outcome. We
have identified four promising candidate components, with an emphasis on brevity,
low-touch, and future scalability: A) nurse-led shared decision making, B) a text message
intervention, C) modest lottery prizes for vaccination, and D) peer navigation to
vaccination appointments. Participants will be N=560 community-residing adult English and
Spanish-speaking AABL persons who are not up-to-date on COVID-19 and influenza
vaccinations but with at least one COVID-19 vaccine dose. Specific aims are: Aim 1)
identify which of four components contribute meaningfully to improvement in the outcomes;
Aim 2) identify mediators (e.g., altruism, norms) and moderators (e.g., sociodemographic
characteristics, distrust) of the effects of each component; and Aim 3) build the most
cost-effective intervention package(s). Participants will be randomly assigned to an
experimental condition, and assessed at 3- and 6-months post-baseline; N=45 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
community-based and outpatient health organizations.
Behavioral: Health education on COVID and flu vaccination
1 session (30 min) with a health educator on vaccination
Behavioral: Nurse-led shared decision-making
1 session and FU calls with a trained nurse
Behavioral: Text messages
Health & wellness interactive text message (TM) intervention (12 weeks, 2 texts/week)
Behavioral: Lottery prize for vaccination
Modest lottery prize for COVID vaccination
Behavioral: Peer navigation
Peer navigation (4 months duration, contact as needed).
Inclusion Criteria: 2) can engage in study activities in English or Spanish; 3) Black or
African American or Latino/Hispanic race/ethnicity; 4) resides in New York City; 5) has
received at least one dose of a COVID-19 vaccination in their lifetime but is not
up-to-date on COVID-19 vaccination, defined as has not received the most recently
available vaccine, confirmed with documentary evidence; 6) eligible to receive the
COVID-19 vaccine (has not had anaphylaxis, myocarditis, pericarditis, or thrombosis with
thrombocytopenia syndrome or other adverse effects deemed by a physician to be related to
the COVID-19 vaccine) and if previously diagnosed with COVID-19, a minimum of 10 days has
elapsed since last test positivity; 7) is not up-to-date on influenza vaccination defined
as not yet receiving the available influenza vaccine; 8) has a phone that can be used for
study participation and can receive text messages.
- Exclusion Criteria: NONE
-
Not Provided
Marya Gwadz, study PI, PhD
212-998-5965
mg2890@nyu.edu
Not Provided