ArticleJMIR public health and surveillance2016
Facebook Advertising Across an Engagement Spectrum: A Case Example for Public Health Communication.
Article in JMIR public health and surveillance, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review on Information Technology Approaches to Evaluate the Impact of Public Health Campaigns: Real Cases and Possible Directions.Frontiers in public health · 2021Pooled it
- Framing health: how health communication theories and strategies shape NCD prevention content on Facebook Sri Lanka.BMC public health · 2026Article
- Being vulnerable with viewers: Exploring how medical YouTubers communicated about COVID-19 with the public.PloS one · 2024Article
- Addressing Antivaccine Sentiment on Public Social Media Forums Through Web-Based Conversations Based on Motivational Interviewing Techniques: Observational Study.JMIR infodemiology · 2023Observational
- Smokers' Engagement Behavior on Facebook: Verbalizing and Visual Expressing the Smoking Cessation Process.International journal of environmental research and public health · 2022Article
- Informing women about the risks of exposing babies to tobacco smoke: outreach and education efforts using Facebook "boost posts".Translational behavioral medicine · 2022Review
- Use of Live Community Events on Facebook to Share Health and Clinical Research Information With a Minnesota Statewide Community: Exploratory Study.JMIR formative research · 2022Article
- Precision Public Health Campaign: Delivering Persuasive Messages to Relevant Segments Through Targeted Advertisements on Social Media.JMIR formative research · 2021Article
- Facebook Users' Interactions, Organic Reach, and Engagement in a Smoking Cessation Intervention: Content Analysis.Journal of medical Internet research · 2021Article
- Influencing Factors on Health Information to Improve Public Health Literacy in the Official WeChat Account of Guangzhou CDC.Frontiers in public health · 2021Article
- Facebook-Based Social Marketing to Reduce Smoking in Australia's First Nations Communities: An Analysis of Reach, Shares, and Likes.Journal of medical Internet research · 2020Article
- Evaluating values-based message frames for type 2 diabetes prevention among Facebook audiences: Divergent values or common ground?Patient education and counseling · 2020Article
- Engagement design in studies on pregnancy and infant health using social media: Systematic review.Preventive medicine reports · 2020Review
- Review of Evaluation Metrics Used in Digital and Traditional Tobacco Control Campaigns.Journal of medical Internet research · 2020Review
- PrEP4Love: The Role of Messaging and Prevention Advocacy in PrEP Attitudes, Perceptions, and Uptake Among YMSM and Transgender Women.Journal of acquired immune deficiency syndromes (1999) · 2020Article
- Ideas for how informaticians can get involved with COVID-19 research.BioData mining · 2020Article
- Attracting Users to Online Health Communities: Analysis of LungCancer.net's Facebook Advertisement Campaign Data.Journal of medical Internet research · 2019Article
- Responses to a Social Media Campaign Promoting Safe Fish Consumption Among Women.Preventing chronic disease · 2019Article
- Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis.JMIR mHealth and uHealth · 2019Article
- Health Information Engagement Factors in Malaysia: A Content Analysis of Facebook Use by the Ministry of Health in 2016 and 2017.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundThe interpersonal, dialogic features of social networking sites have untapped potential for public health communication. We ran a Facebook advertising campaign to raise statewide awareness of Michigan's newborn screening and biobanking programs.
objectiveWe ran a Facebook advertising campaign to stimulate public engagement on the complex and sensitive issue of Michigan's newborn screening and biobank programs.
methodsWe ran an 11-week, US $15,000 Facebook advertising campaign engaging Michigan Facebook users aged 18-64 years about the state's newborn screening and population biobank programs, and we used a novel "engagement spectrum" framework to contextualize and evaluate engagement outcomes ranging from observation to multi-way conversation.
resultsThe campaign reached 1.88 million Facebook users, yielding a range of engagement outcomes across ad sets that varied by objective, content, budget, duration, and bid type. Ad sets yielded 9009 page likes (US $4125), 15,958 website clicks (US $5578), and 12,909 complete video views to 100% (US $3750). "Boosted posts" yielded 528 comments and 35,966 page post engagements (US $1500). Overall, the campaign led to 452 shares and 642 comments, including 176 discussing newborn screening and biobanking.
conclusionsFacebook advertising campaigns can efficiently reach large populations and achieve a range of engagement outcomes by diversifying ad types, bid types, and content. This campaign provided a population-based approach to communication that also increased transparency on a sensitive and complex topic by creating a forum for multi-way interaction.
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Registered trials
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.