Evidence map›Paper›PMID 28481675›Full record

ArticleHuman vaccines & immunotherapeutics2017

"To each his own": Discussions of vaccine decision-making in top parenting blogs.

Zoë Meleo-Erwin, Corey Basch, Sarah A MacLean, Courtney Scheibner, Valerie Cadorett

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Article
  8. COVID-19 Vaccine Acceptance among Social Media Users: A Content Analysis, Multi-Continent Study.International journal of environmental research and public health · 2022
    Article
  9. Mis-Dis Information in COVID-19 Health Crisis: A Narrative Review.International journal of environmental research and public health · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. A content analysis of HPV related posts on instagram.Human vaccines & immunotherapeutics · 2019
    Article
  18. Article
  19. 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

5 authors.

Zoë Meleo-Erwina Department of Public Health , William Paterson University , Wayne , NJ , USA.
Corey Baschb Department of Public Health , William Paterson University , Wayne , NJ , USA.
Sarah A MacLeanc Department of Epidemiology, Mailman School of Public Health , Columbia University , New York , NY , USA.
Courtney Scheibnerd Bloustein Center for Survey Research , Rutgers University , New Brunswick , NJ , USA.
Valerie Cadorette Department of Public Health , William Paterson University , Wayne , NJ , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although social media provides a way for people to congregate with like-minded others, it can also play a role in spreading misinformation about public health interventions. Previous research demonstrates that parents who use the Internet to gather information on vaccination are more likely to hold anti-vaccination beliefs. There has been little examination of vaccination decision-making discussions on parenting blogs. This study seeks to fill that gap. Posts and comments on the top 25 top parenting blogs were analyzed using a mixed-method approach. Comments were analyzed using deductive coding scheme that examined whether content areas of interest were present or absent in vaccination discussions. Posts were coded inductively using a thematic analysis. Posts and comments were further coded as strongly vaccine-discouraging, vaccine-ambivalent, or strongly vaccine-encouraging. Finally, posts were grouped by year of publication and comments were analyzed within each group to examine the evolution of vaccination decision-making discussions in the parenting blogosphere over the past decade. Fifty-two percent of posts were categorized as strongly vaccine-discouraging and were most commonly associated with expressions of individual liberty. Comments were nearly 3 times as likely to strongly discourage vaccination than to strongly encourage it. Comments on the oldest posts (2006-2009), were more likely to strongly discourage vaccination (p = 0.008), whereas comments on newer posts (2013-2015), were more likely to strongly encourage vaccination (p = 0.003). These findings suggest there is a need for public health professionals to understand the concerns being expressed in these forums, and develop innovative ways to dispel anti-vaccination myths, as these views may create obstacles in the meeting the goals of the public health agenda.

Indexed as

BloggingDecision MakingCommunicationFemaleHumansInternetMaleParentingParentsPublic HealthSocial MediaVaccinationhealth decision-makinginternetinterventionsparentingsocial mediavaccination

Identifiers

PMID28481675
PMCPMC5557216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.