Evidence map›Paper›PMID 27840816›Full record

ArticlemHealth2016

Getting Beyond Impressions: An Evaluation of Engagement with Breast Cancer-related Facebook Content.

Sunita Kapahi Theiss, Rachel M Burke, Janine L Cory, Temeika L Fairley

Abstract read
In one paragraph

Article in mHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Committed to Health: Key Factors to Improve Users' Online Engagement through Facebook.International journal of environmental research and public health · 2020
    Article
  20. Practical and Ethical Considerations for Schools Using Social Media to Promote Physical Literacy in Youth.International journal of environmental research and public health · 2020
    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

4 authors.

Sunita Kapahi TheissDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS-F76, Atlanta, GA 30341.
Rachel M BurkeDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322.
Janine L CoryDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS-F76, Atlanta, GA 30341.
Temeika L FairleyDivision of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS-F76, Atlanta, GA 30341.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundReaching young adults with health messages has been a documented challenge in public health. Public health researchers have initiated studies to assess how social media are changing health communication. In 2014, the Centers for Disease Control and Prevention (CDC) launched social media-based health education initiatives on Facebook to increase knowledge of breast health and breast cancer among women under age 45 and those at higher risk for developing the disease. The current study used digital analytics and metrics to describe the impact of these social media efforts on health communication.

methodsEngagement rate was calculated by taking the average engagement rate for 574 posts published by the CDC Breast Cancer Facebook page in multiple categories, including CDC campaign specificity, content type, time of day, and year posted. Linear regression was used to model the effect of campaign content.

resultsEngagement rate (ER) was highest for content shared for the

conclusionsWe found that users were more likely to click, share, comment, or like the content of the post that had photos. These data suggest that that branded, visual content is more effective in facilitating engagement. These findings will be used to adjust both free and paid social media efforts for the CDC Breast Cancer Facebook page.

Indexed as

breast cancerhealth communicationsocial mediaweb 2.0

Identifiers

PMID27840816
PMCPMC5102332

What OpenQuestion holds

Textmetadata
LicenceTDM
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.