ArticleJournal of communication in healthcare2023
Use of the socio-ecological model to explore trusted sources of COVID-19 information in Black and Latinx communities in Michigan.
Article in Journal of communication in healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Incentivizing Immunity: Black and Latinx Individuals' Attitudes About COVID-19 Vaccine Incentives.Journal of racial and ethnic health disparities · 2026Article
- Healthcare Providers as Trusted Messengers: Results From Three Timepoints During the COVID-19 Pandemic.Health promotion practice · 2026Article
- Building and sustaining trust across communities: Lessons from a large-scale, community-based cancer needs assessment in New York City.medRxiv : the preprint server for health sciences · 2025Article
- COVID-19 Misinformation Through the Lens of Young Black and Latinx Michiganders: A Qualitative Study.Journal of racial and ethnic health disparities · 2025Article
- "Life as We Knew It": Continued Challenges in Getting Up-to-Date COVID-19 Vaccinations Amongst Black and Latinx Michigan Residents.Journal of racial and ethnic health disparities · 2025Article
- After Mandates End: Complex Decision Making Regarding COVID-19 Masking in San Diego Elementary Schools Through the Social Ecological Model.The Journal of school health · 2025Article
- Highlighting Counterstereotypical Scientists in Undergraduate Life Science Courses.CBE life sciences education · 2025Article
- Perspectives of the COVID-19 pandemic and vaccination among racially and ethnically diverse gay, bisexual, and other men who have sex with men with and without HIV in the US South: findings from qualitative individual in-depth interviews.BMC infectious diseases · 2025Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundIdentifying trusted sources of health information and exploring what makes these sources trustworthy is an important aspect of public health. This exploration requires embracing the cultural differences in minoritized communities, which are often treated as homogeneous. This qualitative study identifies and analyze the sources of trusted COVID-19 information among Black and Latinx communities in Michigan and assesses the rationale underlying this trust.
methodsInterviews were conducted with 24 Black and 16 Latinx participants (
resultsWe found that sources of information came from all levels of the model, including interpersonal (COVID-19 survivors, church representatives, friends, relatives), organizational (employers, healthcare providers, traditional news reports), social media (hybrid source), community (members and groups), and public policy (county health department, federal and state government). Furthermore, participants determined whether they could trust information about COVID-19 by cross-referencing multiple resources. We identified competence, confidence, communication, and system trust as the dimensions of trustworthiness most often reported by participants.
conclusionsOur research suggests public health communications should engage in cross-referencing practices, providing information from sources at all levels of interaction, cultural competency, and awareness of historical/structural inequities. These efforts would be further strengthened by attending to needs for both factual information as well as care and personal connection.
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What OpenQuestion holds
Registered trials
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.