Evidence map›Paper›PMID 31912544›Full record

ArticlePaediatric and perinatal epidemiology2020

Discussions of miscarriage and preterm births on Twitter.

Nina Cesare, Olubusola Oladeji, Kadija Ferryman, Derry Wijaya, Karen D Hendricks-Muñoz, Alyssa Ward, Elaine O Nsoesie

Open access · hybridAbstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Exploring death anxiety among women with preterm births in Oman.Journal of education and health promotion · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Discussions of miscarriage and preterm births on Twitter.Paediatric and perinatal epidemiology · 2020
    Article
  11. 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

7 authors at 4 institutions in 1 country.

Nina CesareDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.
Olubusola OladejiDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.
Kadija FerrymanDepartment of Technology, Culture, and Society, Tandon School of Engineering, New York University, New York, NY, USA.
Derry WijayaDepartment of Computer Science, Boston University, Boston, MA, USA.
Karen D Hendricks-MuñozDepartment of Pediatrics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Alyssa WardChildren's Hospital of Richmond, Richmond, VA, USA.
Elaine O NsoesieDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0001-9170-8714
Boston University · USChildren's Hospital of Richmond at VCU · USThe Foundation for a Civil Society · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExperiences typically considered private, such as, miscarriages and preterm births are being discussed publicly on social media and Internet discussion websites. These data can provide timely illustrations of how individuals discuss miscarriages and preterm births, as well as insights into the wellbeing of women who have experienced a miscarriage.

objectivesTo characterise how users discuss the topic of miscarriage and preterm births on Twitter, analyse trends and drivers, and describe the perceived emotional state of women who have experienced a miscarriage.

methodsWe obtained 291 443 Twitter postings on miscarriages and preterm births from January 2017 through December 2018. Latent Dirichlet Allocation (LDA) was used to identify major topics of discussion. We applied time series decomposition methods to assess temporal trends and identify major drivers of discussion. Furthermore, four coders labelled the emotional content of 7282 personal miscarriage disclosure tweets into the following non-mutually exclusive categories: grief/sadness/depression, anger, relief, isolation, annoyance, and neutral.

resultsTopics in our data fell into eight groups: celebrity disclosures, Michelle Obama's disclosure, politics, healthcare, preterm births, loss and anxiety, flu vaccine and ectopic pregnancies. Political discussions around miscarriages were largely due to a misunderstanding between abortions and miscarriages. Grief and annoyance were the most commonly expressed emotions within the miscarriage self-disclosures; 50.6% (95% confidence interval [CI] 49.1, 52.2) and 16.2% (95% CI 15.2, 17.3). Postings increased with celebrity disclosures, pharmacists' refusal of prescribed medications and outrage over the high rate of preterm births in the United States. Miscarriage disclosures by celebrities also led to disclosures by women who had similar experiences.

conclusionsThis study suggests that increase in discussions of miscarriage on social media are associated with several factors, including celebrity disclosures. Additionally, there is a misunderstanding of the potential physical, emotional and psychological impacts on individuals who lose a pregnancy due to a miscarriage.

Indexed as

Abortion, SpontaneousPremature BirthSocial MediaEmotionsFamous PersonsFemaleGriefHealth Care CostsHumansPregnancySelf DisclosureWomen's Healthmiscarriagepreterm birthsocial mediaspontaneous abortion

Identifiers

PMID31912544
PMCPMC7496231
OpenAlexW3000371077

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.