Evidence map›Paper›PMID 36707110›Full record

ArticleBMJ open2023

Barriers to COVID-19 vaccine acceptance to improve messages for vaccine uptake in indigenous populations in the central highlands of Guatemala: a participatory qualitative study.

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

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
6.1field-weighted citation impact, top 3% 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, 22 citations in OpenAlex.

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  6. Bridging community-engaged research and implementation science methods to advance public health practice.Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
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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

9 authors at 3 institutions in 1 country.

Nadine Ann SkinnerStanford Center for Health Education, Stanford University School of Medicine, Stanford, California, USA nas2@stanford.edu.ORCID 0000-0003-0730-8190
Kelly SandersInstitute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-8872-1712
Emily LopezMaya Health Alliance Wuqu' Kawoq, Tecpan, Guatemala.
Magda Silvia Sotz MuxMaya Health Alliance Wuqu' Kawoq, Tecpan, Guatemala.
Lucía Abascal MiguelInstitute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-7142-8704
Kathryn B VosburgInstitute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Jamie JohnstonStanford Center for Health Education, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-6992-5958
Nadia Diamond-SmithInstitute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-8711-3029
Anne Kraemer DiazMaya Health Alliance Wuqu' Kawoq, Tecpan, Guatemala.
University of California, San Francisco · USStanford Health Care · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs of July 2022, a little over one-third of Guatemalans were fully vaccinated. While COVID-19 vaccination rates are not officially reported nationally by racial/ethnic groups, non-governmental organisations and reporters have observed that COVID-19 vaccination rates are especially low among high-risk Indigenous populations. We conducted one of the first studies on COVID-19 vaccine acceptance in Indigenous populations in the Central Highlands of Guatemala, which aimed to better understand the barriers to COVID-19 vaccine uptake and how to improve vaccine promotional campaigns.

methodsIn November 2021, we conducted eight focus group discussions (FGDs) with 42 Indigenous men and women and 16 in-depth interviews (IDIs) with community health workers, nurses and physicians in Chimaltenango and Sololá. Using a participatory design approach, our qualitative analysis used constant comparative methods to understand the inductive and deductive themes from the FGD and IDI transcripts.

resultsWe found three major overarching barriers to vaccination within the sampled population: (1) a lack of available easily understandable, linguistically appropriate and culturally sensitive COVID-19 vaccine information; (2) vaccine access and supply issues that prevented people from being vaccinated efficiently and quickly; and (3) widespread misinformation and disinformation that prey on people's fears of the unknown and mistrust of the medical establishment and government.

conclusionWhen developing COVID-19 vaccine messages, content should be culturally relevant, appropriate for low-literacy populations and in the languages that people prefer to speak. Promotional materials should be in multiple modalities (print, radio and social media) and also have specific Maya cultural references (dress, food and concepts of disease) to ensure messaging connects with intended targets. This study supports the need for more robust research into best practices for communicating about COVID-19 vaccines to marginalised communities globally and suggests that policy makers should invest in targeted local solutions to increase vaccine uptake.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesFemaleGuatemalaHumansIndigenous PeoplesMaleVaccinationCOVID-19 VaccinesVaccinesCOVID-19Health policyPREVENTIVE MEDICINEPUBLIC HEALTHQUALITATIVE RESEARCH

Identifiers

PMID36707110
PMCPMC9884572
OpenAlexW4318393397

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.