Evidence map›Paper›PMID 37450325›Full record

SynthesisJournal of medical Internet research2023

A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review.

James Kite, Lilian Chan, Kathryn MacKay, Lucy Corbett, Gillian Reyes-Marcelino, Binh Nguyen, William Bellew, Becky Freeman

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Swap Up: Four Years of Behavior Change Through Adolescent Nutrition Education in Oklahoma.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Level of Awareness About Chronic Obstructive Pulmonary Disease Among Active Smokers.International journal of chronic obstructive pulmonary disease · 2026
    Article
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.

James KitePrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0001-5500-2538
Lilian ChanPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0001-7284-477X
Kathryn MacKaySydney Health Ethics, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0001-9022-4558
Lucy CorbettPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-6324-4489
Gillian Reyes-MarcelinoSydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-3250-0961
Binh NguyenPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-9501-4397
William BellewPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0003-1342-2723
Becky FreemanPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-2082-9612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media platforms are frequently used in health communication campaigns. Common understandings of campaign effects posit a sequential and linear series of steps from exposure to behavior change, commonly known as the hierarchy of effects model (HOE). These concepts need to be reevaluated in the age of social media, which are interactional and communal.

objectiveThis review aims to update the traditional HOE for health communication campaigns in the context of social media, including identifying indicators of effectiveness and how these are conceptualized to lead to health-related outcomes.

methodsWe conducted a systematic review of studies following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines reporting on the use of social media as part of health communication campaigns, extracting campaign information such as objectives, platforms used, and measures of campaign performance. We used these data, combined with our understanding of the HOE, to develop an updated conceptual model of social media campaign effects.

resultsWe identified 99 eligible studies reporting on 93 campaigns, published between 2012 and 2022. The campaigns were conducted in over 20 countries, but nearly half (n=42) were conducted in the United States. Campaigns targeted a variety of health issues and predominantly used Facebook, Twitter, Instagram, and YouTube. Most campaigns (n=81) set objectives targeting awareness or individual behavior change. Process measures (n=68; eg, reach and impressions) and engagement measures (n=73; eg, likes and retweets) were reported most frequently, while two-fifths (n=42) did not report any outcomes beyond engagement, such as changes in knowledge, behavior, or social norms. Most campaigns (n=55) collected measures that did not allow them to determine if the campaign objective had been met; that is, they were process evaluations only. Based on our review, our updated model suggests that campaign exposure can lead to individual behavior change and improved health outcomes, either through a direct or indirect pathway. Indirect pathways include exposure through social and policy changes. "Engagement" is positioned as critical to success, replacing awareness in the traditional HOE, and all types of engagement are treated as equal and good. No consideration is being given to potential negative engagement, such as the distribution of misinformation. Additionally, the process is no longer linear and sequential, with circular pathways evident, such as engagement not only influencing behavior change but also generating additional exposure to campaign messages.

conclusionsOur review has highlighted a change in conventional understandings of how campaigns can influence health outcomes in the age of social media. The updated model we propose provides social media campaigners with a starting point to develop and tailor campaign messages and allows evaluators to identify critical assumptions to test, including the role and value of "engagement."

trial registrationPROSPERO CRD42021287257; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=287257.

Indexed as

Health CommunicationSocial MediaHealth PromotionHumansPublic Healthawarenessbehavior changecampaign developmentcampaign evaluationengagementhierarchy of effectssocial mediasystematic review

Identifiers

PMID37450325
PMCPMC10382952

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.