Evidence map›Paper›PMID 38618422›Full record

ArticleCureus2024

Going Viral: Assessing the Impact of Social Media on Enrollment in a Coronavirus Disease 2019 (COVID-19) Cohort Study.

Alexander H Hogan, Katherine W Herbst, Carlie Defelice, Noah Schulman, Aaron M Adams, Christopher L Carroll, Juan C Salazar

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Alexander H HoganDivision of Pediatric Hospital Medicine, Connecticut Children's Medical Center, Hartford, USA.
Katherine W HerbstDepartment of Research, Connecticut Children's Medical Center, Hartford, USA.
Carlie DefeliceDepartment of Research, Connecticut Children's Medical Center, Hartford, USA.
Noah SchulmanDepartment of Research, Connecticut Children's Medical Center, Hartford, USA.
Aaron M AdamsDepartment of Geography, University of Connecticut, Storrs, USA.
Christopher L CarrollDepartment of Pediatrics, Wolfson Children's Hospital, Jacksonville, USA.
Juan C SalazarDivision of Infectious Disease, Connecticut Children's Medical Center, Hartford, USA.
University of Connecticut · US

Funding

Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)R33HD105613 · NICHD · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI LAWRENCE, DAVID A, LYNES, MICHAEL A · 2023 to 2023
$3.2M
Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)R61HD105613 · NICHD · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI LAWRENCE, DAVID A, LYNES, MICHAEL A · 2021 to 2022
$1.9M
NICHD NIH HHS R33 HD105613NICHD NIH HHS R61 HD105613
6 · The paper itself

Abstract

Objective This study aimed to quantify the effect of social media posts on study enrollment among children with mild coronavirus disease 2019 (COVID-19). Methods The primary outcome was weekly study enrollments analyzed using a run chart. A secondary analysis used linear regression to assess study enrollments two days before and after a social media post, adjusted for the statewide pediatric seven-day-average severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) case rate, social media posting day, and the interaction of these two variables. Results In seven months before social media posting, only eight patients were enrolled. One week after social media posting began, the median weekly enrollment increased (0 to 3). In the regression model, neither social media post day nor the pediatric SARS-CoV-2 case rate was significantly associated with enrollment rate. However, the interaction of a post day and the pediatric case rate was significant. Conclusion Social media posts significantly increased enrollment among children with mild COVID-19 in a prospective study. This effect was amplified by the presence of high community case rates during the Omicron wave.

Indexed as

covidcovid-19enrollmentpediatricrecruitmentsars-cov-2social media

Identifiers

PMID38618422
PMCPMC11009901
OpenAlexW4392748718

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.