Evidence map›Paper›PMID 36523220›Full record

ArticleBMJ open2022

Evaluating the impact of a linguistically and culturally tailored social media ad campaign on COVID-19 vaccine uptake among indigenous populations in Guatemala: a pre/post design intervention study.

Lucía Abascal Miguel, Emily Lopez, Kelly Sanders, Nadine Ann Skinner, Jamie Johnston, Kathryn B Vosburg, Anne Kraemer Diaz, Nadia Diamond-Smith

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  8. Community participation in responding to health misinformation.International journal for equity in health · 2026
    Article
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  12. Bridging community-engaged research and implementation science methods to advance public health practice.Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Review
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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

8 authors at 3 institutions in 1 country.

Lucía Abascal MiguelInstitute for Global Health Sciences, UCSF, San Francisco, California, USA lucia.abascal@ucsf.edu.ORCID 0000-0002-7142-8704
Emily LopezWuqu' Kawoq, Maya Health Alliance, Tecpan, Guatemala.
Kelly SandersInstitute for Global Health Sciences, UCSF, San Francisco, California, USA.
Nadine Ann SkinnerStanford Center for Health Education, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0003-0730-8190
Jamie JohnstonStanford Center for Health Education, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-6992-5958
Kathryn B VosburgInstitute for Global Health Sciences, UCSF, San Francisco, California, USA.
Anne Kraemer DiazWuqu' Kawoq, Maya Health Alliance, Tecpan, Guatemala.
Nadia Diamond-SmithInstitute for Global Health Sciences, UCSF, San Francisco, California, USA.ORCID 0000-0002-8711-3029
Global Brain Health Institute · USStanford University · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the impact of culturally and linguistically tailored informational videos delivered via social media campaigns on COVID-19 vaccine uptake in Indigenous Maya communities in Guatemala.

methodsOur team designed a series of videos utilising community input and evaluated the impact using a pre-post intervention design. In-person preintervention surveys were collected from a sample of respondents in four rural municipalities in Guatemala in March 2022. Facebook, Instagram and browser ads were flooded with COVID-19 vaccine informational videos in Spanish, Kaqchikel and Kiche for 3 weeks. Postintervention surveys were conducted by telephone among the same participants in April 2022. Logistic regression models were used to estimate the OR of COVID-19 vaccine uptake following exposure to the intervention videos.

resultsPreintervention and postintervention surveys were collected from 1572 participants. The median age was 28 years; 63% (N=998) identified as women, and 36% spoke an Indigenous Mayan language. Twenty-one per cent of participants (N=327) reported watching the intervention content on social media. At baseline, 89% (N=1402) of participants reported having at least one COVID-19 vaccine, compared with 97% (N=1507) in the follow-up. Those who reported watching the videos had 1.78 times the odds (95% CI 1.14 to 2.77) of getting vaccinated after watching the videos compared with those who did not see the videos when adjusted by age, community, sex and language.

conclusionOur findings suggest that culturally and linguistically tailored videos addressing COVID-19 vaccine misinformation deployed over social media can increase vaccinations in a rural, indigenous population in Guatemala, implying that social media content can influence vaccination uptake. Providing accurate, culturally sensitive information in local languages from trusted sources may help increase vaccine uptake in historically marginalised populations.

Indexed as

COVID-19Social MediaAdultCOVID-19 VaccinesFemaleGuatemalaHumansIndigenous PeoplesCOVID-19 VaccinesCOVID-19EDUCATION & TRAINING (see Medical Education & Training)Public healthPUBLIC HEALTH

Identifiers

PMID36523220
PMCPMC9748511
OpenAlexW4311310473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.