MedPath

Community-based Behavioral Intervention to Increase Vaccination Using MOST

Phase 2
Withdrawn
Conditions
COVID 19
Influenza
Interventions
Behavioral: Health education on COVID and flu vaccination
Behavioral: Nurse-led shared decision-making
Behavioral: Lottery prize for vaccination
Behavioral: Text messages
Behavioral: Peer navigation
Registration Number
NCT06614361
Lead Sponsor
New York University
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
WITHDRAWN
Sex
All
Target Recruitment
560
Inclusion Criteria
  1. 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

Study & Design

Study Type
INTERVENTIONAL
Study Design
FACTORIAL
Arm && Interventions
GroupInterventionDescription
Experimental Condition 16Nurse-led shared decision-makingcore, SDM, text message, lottery, peer navigation
Experimental Condition 8Nurse-led shared decision-makingCore, nurse-led SDM, text messages, lottery prize
Experimental Condition 1Health education on COVID and flu vaccinationCore session
Experimental Condition 12Health education on COVID and flu vaccinationCore session, nurse-led SDM
Experimental Condition 12Nurse-led shared decision-makingCore session, nurse-led SDM
Experimental Condition 12Text messagesCore session, nurse-led SDM
Experimental Condition 12Peer navigationCore session, nurse-led SDM
Experimental Condition 3Health education on COVID and flu vaccinationCore session, Text messages
Experimental Condition 3Text messagesCore session, Text messages
Experimental Condition 4Health education on COVID and flu vaccinationCore session, nurse-led SDM, text messages
Experimental Condition 4Nurse-led shared decision-makingCore session, nurse-led SDM, text messages
Experimental Condition 4Text messagesCore session, nurse-led SDM, text messages
Experimental Condition 5Health education on COVID and flu vaccinationCore, lottery prize
Experimental Condition 5Lottery prize for vaccinationCore, lottery prize
Experimental Condition 6Health education on COVID and flu vaccinationCore session, nurse-led SDM, lottery prize
Experimental Condition 6Nurse-led shared decision-makingCore session, nurse-led SDM, lottery prize
Experimental Condition 6Lottery prize for vaccinationCore session, nurse-led SDM, lottery prize
Experimental Condition 7Health education on COVID and flu vaccinationCore, text messages, lottery prize
Experimental Condition 7Text messagesCore, text messages, lottery prize
Experimental Condition 7Lottery prize for vaccinationCore, text messages, lottery prize
Experimental Condition 8Health education on COVID and flu vaccinationCore, nurse-led SDM, text messages, lottery prize
Experimental Condition 8Text messagesCore, nurse-led SDM, text messages, lottery prize
Experimental Condition 8Lottery prize for vaccinationCore, nurse-led SDM, text messages, lottery prize
Experimental Condition 9Health education on COVID and flu vaccinationCore, peer navigation
Experimental Condition 9Peer navigationCore, peer navigation
Experimental Condition 10Health education on COVID and flu vaccinationCore, nurse-led SDM, peer navigation
Experimental Condition 10Nurse-led shared decision-makingCore, nurse-led SDM, peer navigation
Experimental Condition 10Peer navigationCore, nurse-led SDM, peer navigation
Experimental Condition 11Health education on COVID and flu vaccinationcore, text messages, peer navigation
Experimental Condition 11Text messagescore, text messages, peer navigation
Experimental Condition 11Peer navigationcore, text messages, peer navigation
Experimental Condition 13Health education on COVID and flu vaccinationcore, lottery prize, peer navigation
Experimental Condition 13Lottery prize for vaccinationcore, lottery prize, peer navigation
Experimental Condition 13Peer navigationcore, lottery prize, peer navigation
Experimental Condition 14Health education on COVID and flu vaccinationcore, SDM, lottery prize, peer navigation
Experimental Condition 14Nurse-led shared decision-makingcore, SDM, lottery prize, peer navigation
Experimental Condition 14Lottery prize for vaccinationcore, SDM, lottery prize, peer navigation
Experimental Condition 14Peer navigationcore, SDM, lottery prize, peer navigation
Experimental Condition 15Health education on COVID and flu vaccinationcore, text messages, lottery, peer navigation
Experimental Condition 15Text messagescore, text messages, lottery, peer navigation
Experimental Condition 15Lottery prize for vaccinationcore, text messages, lottery, peer navigation
Experimental Condition 15Peer navigationcore, text messages, lottery, peer navigation
Experimental Condition 16Health education on COVID and flu vaccinationcore, SDM, text message, lottery, peer navigation
Experimental Condition 16Text messagescore, SDM, text message, lottery, peer navigation
Experimental Condition 16Lottery prize for vaccinationcore, SDM, text message, lottery, peer navigation
Experimental Condition 16Peer navigationcore, SDM, text message, lottery, peer navigation
Experimental Condition 2Health education on COVID and flu vaccinationCore, SDM
Experimental Condition 2Nurse-led shared decision-makingCore, SDM
Primary Outcome Measures
NameTimeMethod
Vaccination for COVID-193- and 6-months post-baseline

Vaccination for COVID-19 with documentary evidence

Secondary Outcome Measures
NameTimeMethod
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