ArticleHealthcare (Basel, Switzerland)2023
Creating Understandable and Actionable COVID-19 Health Messaging for Refugee, Immigrant, and Migrant Communities.
Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Insights from the EQUALS4COVID19 study on migrant mental health in Portugal: a cross-sectional mixed-methods approach.BMC public health · 2024Article
- Readable and neutral? Reliability of crowdsourced misinformation debunking through linguistic and psycholinguistic cues.Frontiers in psychology · 2024Article
- Applying Machine Learning to Healthcare Operations Management: CNN-Based Model for Malaria Diagnosis.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
During the coronavirus pandemic, it was imperative that real-time, rapidly changing guidance on continuously evolving critical health information about COVID-19 be communicated. This case study highlights how understandable and actionable COVID-19 health information was systematically developed and disseminated to support highly vulnerable refugee, immigrant, and migrant (RIM) communities in Clarkston, Georgia. Our approach was grounded in community-based participatory research (CBPR) incorporating Cultural and Linguistically Appropriate Services (CLAS) standards, plain language and health literacy guidelines, and health communication science to improve the understandability and usability of COVID-19 micro-targeted messaging for RIM communities. We followed a centralized systematic approach to materials development and incorporated local needs and existing networks to ensure cultural and linguistic responsiveness as well as understandability for populations with limited literacy skills. Further, iterative development of materials with community members and agencies provided buy-in prior to dissemination. As part of a multi-pronged community-wide effort, effective materials and messaging provided support to community health workers and organizations working to improve vaccination rates among the RIM community. As a result, we saw vaccine rates in Clarkston outpace other similar areas of the county and state due to this community-wide effort.
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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.