ArticleJMIR research protocols2023
Tough Talks COVID-19 Digital Health Intervention for Vaccine Hesitancy Among Black Young Adults: Protocol for a Hybrid Type 1 Effectiveness Implementation Randomized Controlled Trial.
Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05490329 (A Multidimensional Digital Approach to Address Vaccine Hesitancy and Increase COVID-19 Vaccine Uptake Among African American Young Adults in the South), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Multidimensional Digital Approach to Address Vaccine Hesitancy and Increase COVID-19 Vaccine Uptake Among African American Young Adults in the South (Tough Talks COVID)
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis.JMIR public health and surveillance · 2024Pooled it
- Greater Improvements in Vaccination Outcomes Among Black Young Adults With Vaccine-Resistant Attitudes in the United States South Following a Digital Health Intervention: Latent Profile Analysis of a Randomized Control Trial.JMIR public health and surveillance · 2025Trial
- Relationships Between Vaccine Knowledge, Hesitancy, and Conspiracy Beliefs on COVID-19, Influenza, and HPV Vaccination.Journal of racial and ethnic health disparities · 2026Article
- Article
- The silent epidemic within the pandemic: pathophysiology and prediction of post-COVID-19 diabetes.Journal of translational medicine · 2026Review
- Components of a Digital Storytelling Intervention for Human Papillomavirus and Cancer Prevention Among LGBTQ+ Individuals: Formative Mixed Methods Inquiry.JMIR formative research · 2025Article
- Evaluating concurrency and gaps between self-report and vaccine card data for COVID-19 vaccination.Vaccine · 2025Article
- Adolescent Youth Survey on HIV Prevention and Sexual Health Education in Alabama: Protocol for a Web-Based Survey With Fraud Protection Study.JMIR research protocols · 2025Article
- Mpox Knowledge Among Black Young Adults in the Southern United States.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024Article
- Development and validation of the mpox stigma scale (MSS) and mpox knowledge scale (MKS).BMC public health · 2024Article
- Lessons from the COVID-19 Pandemic: Promoting Vaccination and Public Health Resilience, a Narrative Review.Vaccines · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundInterventions for increasing the uptake of COVID-19 vaccination among Black young adults are central to ending the pandemic. Black young adults experience harms from structural forces, such as racism and stigma, that reduce receptivity to traditional public health messaging due to skepticism and distrust. As such, Black young adults continue to represent a priority population on which to focus efforts for promoting COVID-19 vaccine uptake.
objectiveIn aims 1 and 2, the Tough Talks digital health intervention for HIV disclosure will be adapted to address COVID-19 vaccine hesitancy and tailored to the experiences of Black young adults in the southern United States (Tough Talks for COVID-19). In aim 3, the newly adapted Tough Talks for COVID-19 digital health intervention will be tested across the following three southern states: Alabama, Georgia, and North Carolina.
methodsOur innovative digital health intervention study will include qualitative and quantitative assessments. A unique combination of methodological techniques, including web-based surveys, choose-your-own-adventures, digital storytelling, user acceptability testing, and community-based participatory approaches, will culminate in a 2-arm hybrid type 1 effectiveness implementation randomized controlled trial, wherein participants will be randomized to the Tough Talks for COVID-19 intervention arm or a standard-of-care control condition (N=360). Logistic regression will be used to determine the effect of the treatment arm on the probability of vaccination uptake (primary COVID-19 vaccine series or recommended boosters). Concurrently, the inner and outer contexts of implementation will be ascertained and catalogued to inform future scale-up. Florida State University's institutional review board approved the study (STUDY00003617).
resultsOur study was funded at the end of April 2021. Aim 1 data collection concluded in early 2022. The entire study is expected to conclude in January 2025.
conclusionsIf effective, our digital health intervention will be poised for broad, rapid dissemination to reduce COVID-19 mortality among unvaccinated Black young adults in the southern United States. Our findings will have the potential to inform efforts that seek to address medical mistrust through participatory approaches. The lessons learned from the conduct of our study could be instrumental in improving health care engagement among Black young adults for several critical areas that disproportionately harm this community, such as tobacco control and diabetes prevention.
trial registrationClinicalTrials.gov NCT05490329; https://clinicaltrials.gov/ct2/show/NCT05490329. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41240.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.