Evidence map›Paper›PMID 41493579›Full record

ArticleJMIR formative research2026

Digital Health Communication and Vaccine Confidence in Mexico Using Aggregated Randomized Brand Lift Studies: Secondary Analysis.

Berenice Muñoz Cordero, Rodrigo Romero Feregrino, Raul Romero Feregrino, Raúl Romero Cabello, Valeria Magali Rocha Rocha, Roberto Martinez-Medina, Liliana Aline Fernández Urrutia

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Berenice Muñoz CorderoAsociación Mexicana de Vacunología, Mexico City, Mexico.ORCID 0009-0009-9775-9841
Rodrigo Romero Feregrino *Asociación Mexicana de Vacunología, Mexico City, Mexico.ORCID 0000-0001-8489-4221
Raul Romero Feregrino *Asociación Mexicana de Vacunología, Mexico City, Mexico.ORCID 0000-0003-1837-7546
Raúl Romero Cabello *Asociación Mexicana de Vacunología, Mexico City, Mexico.ORCID 0000-0002-3435-913X
Valeria Magali Rocha Rocha *Life Sciences and Health Sciences, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico.ORCID 0000-0002-6844-1633
Roberto Martinez-MedinaSaint Luke School of Medicine, Mexico City, Mexico.ORCID 0009-0003-7693-2787
Liliana Aline Fernández Urrutia *Saint Luke School of Medicine, Mexico City, Mexico.ORCID 0009-0001-9252-2636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital vaccination campaigns are increasingly used to address declining vaccine confidence, yet evidence from large-scale, real-world interventions in middle-income countries is limited. Meta's Brand Lift Studies (BLS), which use randomized test-control exposure, provide Bayesian estimates of attitudinal shifts resulting from digital content. Mexico, with over 88.6 million active internet users, provides a setting to evaluate the impact of targeted campaigns on vaccine attitudes. Objective: This study evaluated the impact of 5 digital vaccination campaigns implemented by the Asociación Mexicana de Vacunología (@Vacunologia) on Facebook (Meta Platforms Inc) and Instagram (Meta Platforms Inc) in Mexico between 2021 and 2022 on key attitudinal constructs related to COVID-19 vaccine confidence. Methods: This study used a retrospective ecological design. We analyzed aggregated BLS results for 5 campaigns targeting different audiences and vaccination themes. Measured outcomes included standard ad recall, perceived importance, perceived safety, perceived efficacy, and concerns about side effects. Statistical significance within the BLS framework was defined as an incremental lift of ≥2 percentage points with ≥90% posterior probability of replication-a threshold consistent with Meta's operational Bayesian approach. Exploratory comparisons across campaigns were conducted using 1-way ANOVA, unpaired 2-tailed t tests, and Fisher exact tests. Results: Campaigns reached 84.9 million accounts and generated 179.4 million impressions with a total investment of US $215,600. All campaigns produced statistically significant improvements in at least one attitudinal outcome (Bayesian threshold ≥90%). Standard ad recall increased in 4 campaigns (ANOVA, P<.001), and concerns about side effects decreased in 2 campaigns (t test, P=.049; P=.006). Perceived safety, importance, and efficacy improved in selected audiences, with stronger effects observed among younger users and women (ANOVA, P=.005). No direct behavioral outcomes (eg, vaccination uptake) were measured; therefore, the findings reflect attitudinal rather than behavioral change. However, these constructs are recognized as proximal predictors of vaccine decision-making and constitute health-related outcomes. Conclusions: Large-scale digital vaccination campaigns can meaningfully strengthen attitudinal determinants of vaccine confidence in a middle-income context. These social media advertising campaigns effectively increased standard ad recall and improved perceptions of vaccine importance and safety, particularly among younger audiences and women in urban areas. However, changes in efficacy perceptions and concerns about side effects were limited. The innovation and implications of this study lie in evaluating large-scale, real-world digital vaccine campaigns in Latin America using experimental BLS data. Findings highlight that audience segmentation yields stronger perceptual shifts, suggesting that tailored digital strategies can complement traditional public health communication. While the BLS does not measure behavioral end points, the observed attitudinal improvements represent foundational steps toward influencing vaccine-related behaviors. Future work should link digital attitudinal metrics with vaccination and epidemiological data to assess real-world health impact.

Indexed as

COVID-19COVID-19 VaccinesHealth CommunicationHealth Knowledge, Attitudes, PracticeSocial MediaVaccinationVaccination HesitancyAdultBayes TheoremFemaleHumansMaleMexicoMiddle AgedRetrospective StudiesCOVID-19 VaccinesBayesian analysisCOVID-19 vaccinedigital health interventionshealth behaviorhealth communicationhealth promotionMexicopublic health messagingsocial mediavaccination coveragevaccine acceptancevaccine confidence

Identifiers

PMID41493579
PMCPMC12776657

What Socratic 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 Socratic graph.