Evidence map›Paper›PMID 35862262›Full record

ArticleJournal of global health2022

A pre- and post-intervention study testing the effect of exposure to languageless animated images communicating COVID-19 preventive behaviours on behavioural intentions and beliefs of Guatemalan adults.

Nicola O'Brien, Santosh Vijaykumar, Michael Craig, Ellie Land, Sigrid M Aguilar Jocol, Xiomara G Bedoya Mendoza, Rony de la Cruz Estrada, Edwin A Najera Gonzalez, Luisa F Nicolau Ozaeta

Abstract read
In one paragraph

Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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.

Nicola O'BrienDepartment of Psychology, Northumbria University, Newcastle upon Tyne, UK.
Santosh VijaykumarDepartment of Psychology, Northumbria University, Newcastle upon Tyne, UK.
Michael CraigDepartment of Psychology, Northumbria University, Newcastle upon Tyne, UK.
Ellie LandDepartment of Arts, Northumbria University, Newcastle upon Tyne, UK.
Sigrid M Aguilar Jocol *The Human Rights Office of the Archbishop of Guatemala (Oficina de Derechos Humanos del Arzobispado de Guatemala, ODHAG), Guatemala.
Xiomara G Bedoya MendozaThe Human Rights Office of the Archbishop of Guatemala (Oficina de Derechos Humanos del Arzobispado de Guatemala, ODHAG), Guatemala.
Rony de la Cruz EstradaThe Human Rights Office of the Archbishop of Guatemala (Oficina de Derechos Humanos del Arzobispado de Guatemala, ODHAG), Guatemala.
Edwin A Najera GonzalezThe Human Rights Office of the Archbishop of Guatemala (Oficina de Derechos Humanos del Arzobispado de Guatemala, ODHAG), Guatemala.
Luisa F Nicolau OzaetaThe Human Rights Office of the Archbishop of Guatemala (Oficina de Derechos Humanos del Arzobispado de Guatemala, ODHAG), Guatemala.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Effective health communication to encourage participation in COVID-19 preventive behaviours is crucial in helping mitigate viral spread. Intentions and beliefs are known determinants of adherence to these behaviours, therefore, health communication interventions based on these constructs may be effective. Visual languageless messages can be particularly useful in multilingual countries, where text-based communications can limit message exposure. This pre- and post-intervention study sought to identify the effect of exposure to languageless animated messages, presented in the Graphic Interchange Format (GIF), communicating COVID-19 preventive behaviours (physical distancing, handwashing, and mask-wearing) on behavioural intentions and beliefs. Methods: Between February and March 2021, a nationally representative sample of 308 Guatemalan adults completed this online survey experiment. Self-reported performance of preventive behaviours, understanding of COVID-19 transmission risk, as well as intentions, self-efficacy, and outcome expectancy beliefs about preventive behaviours were assessed at baseline. Participants were then exposed to a random combination of three of four possible GIFs in random presentation order. Following exposure to each GIF, intentions, self-efficacy, and outcome expectancy beliefs were reassessed. Results: In terms of main effects, GIF exposure was significantly associated with improved intentions, self-efficacy, and outcome expectancy beliefs in relation to physical distancing; intentions and outcome expectancy beliefs in relation to handwashing; and intentions and self-efficacy in relation to mask-wearing. These associations were not dependent on the combination of the three of four possible GIFs presented. Pairwise comparisons revealed that observed improvements in scores were most pronounced from baseline to the first GIF exposure and reduced thereafter. Conclusions: Exposure to languageless GIFs communicating COVID-19 preventive behaviours is associated with improvements in key social-cognitive determinants of those behaviours. Dosage of GIF exposure and durability of effects are issues that warrant further attention so we can better understand the conditions and point at which benefits are maximised. Moreover, the effect on behavioural adherence is yet to be determined. GIFs provide a valuable means to widely disseminate health messages via social media during public health crises, such as COVID-19. When these messages are languageless, the potential reach of dissemination can be maximised.

Indexed as

COVID-19Health CommunicationAdultHand DisinfectionHumansIntentionSurveys and Questionnaires

Identifiers

PMID35862262
PMCPMC9304925

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.