Evidence map›Paper›PMID 42275377›Full record

ArticlePLOS global public health2026

The effect of mobile phone messaging to support COVID-19 vaccination in Colombia: A randomized controlled clinical trial.

Andres Ignacio Vecino-Ortiz, Deivis Nicolas Guzman-Tordecilla, Vidhi Maniar, Sandra Agudelo-Londoño, Nathaly Aya Pastrana, Oscar Franco Suárez, Mariana Rodríguez Patarroyo, Marino Mejia-Rocha, Mariangela Chavez Chamorro, Jose Luis Ortiz Hoyos and 3 more

Abstract read
In one paragraph

Article in PLOS global public health, 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

13 authors.

Andres Ignacio Vecino-OrtizDepartment of Health, Behavior & Society. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-8089-2488
Deivis Nicolas Guzman-TordecillaDepartment of Health, Behavior & Society. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Vidhi ManiarDepartment of Health, Behavior & Society. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Sandra Agudelo-LondoñoInstituto de Salud Pública Pontificia Universidad Javeriana, Bogotá, Colombia.
Nathaly Aya PastranaIMEK Centro de Investigación en Mercadeo & Desarrollo Santiago de Cali, Colombia, Colombia.ORCID https://orcid.org/0000-0002-0321-2397
Oscar Franco SuárezInstituto de Salud Pública Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID https://orcid.org/0000-0001-6960-1777
Mariana Rodríguez PatarroyoInstituto de Salud Pública Pontificia Universidad Javeriana, Bogotá, Colombia.
Marino Mejia-RochaInstituto de Salud Pública Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID https://orcid.org/0000-0003-0769-2612
Mariangela Chavez ChamorroInter-American Development Bank, Bogota, Colombia.
Jose Luis Ortiz HoyosInter-American Development Bank, Bogota, Colombia.
Antonio J TrujilloDepartment of Health, Behavior & Society. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Joseph AliDepartment of Health, Behavior & Society. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Dustin G GibsonDepartment of Health, Behavior & Society. Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-9073-3376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, the speed required and the complexity of the information provided about vaccines highlighted the relevance of communicating evidence effectively during a sanitary emergency. We tested three interactive voice response (IVR) interventions, plus one control to increase COVID-19 vaccine uptake in an adult population in Colombia. We conducted a parallel-group randomized controlled trial with four arms in Colombia between September and December 2022. Participants (n = 2,409) were recruited via random-digit dialing and followed for 7 weeks. Eligible individuals were adults who were not fully vaccinated against COVID-19 at baseline. Participants were randomized to a control arm or to one of three IVR message interventions: factual, narrative, or mixed (factual + narrative). The outcome measured was vaccine uptake during the assessment period. The intervention was provided by the engageSPARK platform. We used logistic regression and Cox proportional hazards models to evaluate the effectiveness of the intervention. Total observed follow-up exceeded 5,775 person-contacts. Exposure to any intervention was associated with higher odds of vaccination among participants who were not fully vaccinated at baseline and correctly answered the comprehension test (odds ratio: 1.40; 95% CI: 1.05-1.87), but not among those with no prior vaccine doses. In Cox models, assignment to any intervention was associated with a significantly higher hazard of vaccination compared with control (hazard ratio [HR]: 1.50; 95% CI: 1.24-1.83). Stratified analyses showed a substantially higher vaccination rate among those with at least one vaccine at baseline (HR: 1.53; 95% CI: 1.25-1.88). All intervention arms showed similar effectiveness. This IVR-based intervention was effective in accelerating COVID-19 vaccination uptake among adults with at least one vaccine, highlighting the importance of prior acceptance to the vaccine. Message comprehension and intervention intensity determine intervention effectiveness. IVR-based interventions represent a scalable and potentially cost-effective tool for supporting vaccination in low- and middle-income countries.

Identifiers

PMID42275377
PMCPMC13257970

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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.