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A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review
BACKGROUND: Social 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 reeval...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382952/ https://www.ncbi.nlm.nih.gov/pubmed/37450325 http://dx.doi.org/10.2196/46345 |
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author | Kite, James Chan, Lilian MacKay, Kathryn Corbett, Lucy Reyes-Marcelino, Gillian Nguyen, Binh Bellew, William Freeman, Becky |
author_facet | Kite, James Chan, Lilian MacKay, Kathryn Corbett, Lucy Reyes-Marcelino, Gillian Nguyen, Binh Bellew, William Freeman, Becky |
author_sort | Kite, James |
collection | PubMed |
description | BACKGROUND: Social 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: Our 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 REGISTRATION: PROSPERO CRD42021287257; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=287257 |
format | Online Article Text |
id | pubmed-10382952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103829522023-07-30 A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review Kite, James Chan, Lilian MacKay, Kathryn Corbett, Lucy Reyes-Marcelino, Gillian Nguyen, Binh Bellew, William Freeman, Becky J Med Internet Res Review BACKGROUND: Social 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: Our 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 REGISTRATION: PROSPERO CRD42021287257; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=287257 JMIR Publications 2023-07-14 /pmc/articles/PMC10382952/ /pubmed/37450325 http://dx.doi.org/10.2196/46345 Text en ©James Kite, Lilian Chan, Kathryn MacKay, Lucy Corbett, Gillian Reyes-Marcelino, Binh Nguyen, William Bellew, Becky Freeman. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.07.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Kite, James Chan, Lilian MacKay, Kathryn Corbett, Lucy Reyes-Marcelino, Gillian Nguyen, Binh Bellew, William Freeman, Becky A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review |
title | A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review |
title_full | A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review |
title_fullStr | A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review |
title_full_unstemmed | A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review |
title_short | A Model of Social Media Effects in Public Health Communication Campaigns: Systematic Review |
title_sort | model of social media effects in public health communication campaigns: systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382952/ https://www.ncbi.nlm.nih.gov/pubmed/37450325 http://dx.doi.org/10.2196/46345 |
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