Evidence map›Paper›PMID 39657164›Full record

ArticleJournal of medical Internet research2024

Implementation of a Social Media Strategy for Public Health Promotion in Black, American Indian or Alaska Native, and Hispanic or Latino Communities During the COVID-19 Pandemic: Cross-Sectional Study.

Maria Mora Pinzon, Ornella Hills, George Levy, Taryn T James, Ashley Benitez, Sacheen Lawrence, Tiffany Ellis, Venus Washington, Lizbeth Solorzano, Patricia Tellez-Giron and 3 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Maria Mora PinzonDivision of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0000-0002-8090-5509
Ornella HillsDepartment of Ethnic Studies, College of Arts and Sciences, Lawrence University, Appleton, WI, United States.ORCID 0009-0006-2169-3434
George LevyDivision of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0009-0005-6896-8717
Taryn T JamesDivision of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0000-0002-6843-8653
Ashley BenitezSchool of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0009-0007-1907-2118
Sacheen LawrenceDivision of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0009-0005-5105-5321
Tiffany EllisDivision of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0009-0009-1649-3528
Venus WashingtonVenus Inspires, Madison, WI, United States.ORCID 0009-0004-3504-3454
Lizbeth SolorzanoUnityPoint Health - Meriter, Madison, WI, United States.ORCID 0009-0008-2616-6638
Patricia Tellez-GironLatino Health Council of Dane County, Madison, WI, United States.ORCID 0009-0004-5025-5578
Fernando Cano OspinaLatino Health Council of Dane County, Madison, WI, United States.ORCID 0009-0007-9484-2303
Melissa F MetoxenNative American Center for Health Professions, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0009-0005-5264-6772
Carey E GleasonDivision of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, United States.ORCID 0000-0001-6210-4671

Funding

African Americans Fighting Alzheimer’s in Midlife (AA-FAIM)R01AG054059 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAREY E GLEASON · 2016 to 2026
$15.3M
Arterial Stiffness, Cognition, and Equol (ACE)R01AG074971 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2022 to 2026
$12.7M
Addressing Alzheimer's Disease and Related Dementias Disparities: The American Indigenous Cognitive Assessment (AMICA) ProjectR01AG074231 · NIA · UNIVERSITY OF MINNESOTA · PI CAREY E GLEASON, Kristen Jacklin · 2022 to 2026
$10.0M
Indigenous Cultural Understandings of Alzheimer's Disease and Related Dementias - Research and Engagement (I-CARE)R01AG062307 · NIA · UNIVERSITY OF MINNESOTA · PI JACKLIN, KRISTEN · 2021 to 2025
$7.5M
Research Infrastructure for the study of Alzheimer's Disease and Alzheimer's Disease-related dementias in older Asian AmericansUH2AG083258 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DONGMING, LI, CLARA · 2023 to 2024
$1.2M
NIA NIH HHS R01 AG054059NIA NIH HHS R01 AG062307NIA NIH HHS R01 AG074231NIA NIH HHS R01 AG074971NIA NIH HHS UH2 AG083258
6 · The paper itself

Abstract

backgroundIndividuals identifying as Black, American Indian or Alaska Native, or Hispanic or Latino lack access to culturally appropriate accurate information and are the target of disinformation campaigns, which create doubt in science and health care providers and might play a role in sustaining health disparities related to the COVID-19 pandemic.

objectiveThis study aims to create and disseminate culturally and medically appropriate social media messages for Black, Latino, and American Indian or Alaska Native communities in Wisconsin and evaluate their reach and effectiveness in addressing the information needs of these communities.

methodsOur team identified relevant COVID-19 topics based on feedback from their respective community, developed lay format materials, and translated materials into culturally appropriate social media messages that community advocates delivered across their respective communities. Social media metrics (reach, engagement, and impressions) were collected using Sprout Social and Facebook Analytics. We hosted 9 focus groups with community members to learn about their social media use. These data were analyzed using an inductive approach, using NVivo software (release 1.7) to code content.

resultsBetween August 2021 and January 2023, we created 980 unique social media posts that reached 88,790 individuals and gathered >6700 engagements. Average reach per post was similar across the 3 communities, despite differences in the number of posts and followers on each page: 119.46 (Latino individuals), 111.74 (Black individuals), and 113.11 (Oneida Nation members). The type of posts that had higher engagement rate per reached person (ERR) varied across communities and platforms, with the highest being live videos for the Latino community on Facebook (ERR 9.4%), videos for the Black community on Facebook (ERR 19.53%), and social media messages for the Oneida Nation community (ERR 59.01%).

conclusionsOur project presents a unique and effective model for health messages and highlights the need for tailoring social media messages and approaches for minoritized audiences (eg, age, gender, race, and ethnicity). Further research studies are needed to explore how specific types of information affect the dissemination of information and the implications for health communications.

Indexed as

COVID-19Health PromotionSocial MediaAdultAmerican Indian or Alaska NativeBlack or African AmericanCross-Sectional StudiesFemaleFocus GroupsHispanic or LatinoHumansMalePandemicsPublic HealthWisconsinAlaska NativeAmerican IndianBlackCOVID-19health communicationshealth disparitiesHispanicLatinominority healthsocial media

Identifiers

PMID39657164
PMCPMC11668992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.