Evidence map›Paper›PMID 35561650›Full record

ArticleThe Journal of surgical research2022

Frequency and Characteristics of Social Media Use among General Surgery Trainees.

Hataka R Minami, Xujia Li, Samantha K Ong, Steven Allen, Parswa Ansari, Marcus Balters, Daniel Han, Donald Hess, Patrick Jackson, Mary Kimbrough and 9 more

Abstract read
In one paragraph

Article in The Journal of surgical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Social media use and perceptions among pathologists in Turkey: a national survey.Revista da Associacao Medica Brasileira (1992) · 2026
    Article
  3. Observational
  4. Review
  5. Are YouTube Videos Sufficient for Educational Purposes for Robotic Right Hemicolectomy Learning and Has Complete Mesocolic Excision Changed That?The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    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

19 authors.

Hataka R MinamiSaint Louis University School of Medicine, Saint Louis, Missouri. Electronic address: hataka.minami@health.slu.edu.
Xujia LiSaint Louis University School of Medicine, Saint Louis, Missouri.
Samantha K OngSaint Louis University School of Medicine, Saint Louis, Missouri.
Steven AllenPennsylvania State University, University Park, Pennsylvania.
Parswa AnsariLennox Hill Hospital, New York, New York.
Marcus BaltersCreighton University Medical Center, Omaha, Nebraska.
Daniel HanMount Sinai School of Medicine, New York, New York.
Donald HessBoston University, Boston, Massachusetts.
Patrick JacksonMedstar Georgetown University Hospital, Washington, District of Columbia.
Mary KimbroughUniversity of Arkansas for Medical Sciences, Fayetteville, Arkansas.
Michael PorterUniversity of Kansas, Wichita, Kansas.
Rebecca SchrollTulane University School of Medicine, New Orleans, Louisiana.
Brian ShamesUniversity of Connecticut, Farmington, Connecticut.
Julia SheltonUniversity of Iowa, Iowa City, Iowa.
Michael SoultLoyola University Health System, Maywood, Illinois.
Jeffrey J SussmanUniversity of Cincinnati, Cincinnati, Ohio.
Michael WilliamsDepartment of Surgery, Division of Vascular and Endovascular Surgery, Saint Louis University School of Medicine, Saint Louis, Missouri.
Peter YooYale University School of Medicine, New Haven, Connecticut.
Matthew R SmedsDepartment of Surgery, Division of Vascular and Endovascular Surgery, Saint Louis University School of Medicine, Saint Louis, Missouri.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

introductionWith increased social isolation due to COVID-19, social media has been increasingly adopted for communication, education, and entertainment. We sought to understand the frequency and characteristics of social media usage among general surgery trainees. MATERIALS AND

methodsGeneral surgery trainees in 15 American training programs were invited to participate in an anonymous electronic survey. The survey included questions about demographics, frequency of social media usage, and perceptions of risks and benefits of social media. Univariate analysis was performed to identify differences between high users of social media (4-7 h per week on at least one platform) and low users (0-3 h or less on all platforms).

resultsOne hundred fifty-seven of 591 (26.6%) trainees completed the survey. Most respondents were PGY3 or lower (75%) and high users of social media (74.5%). Among high users, the most popular platforms were Instagram (85.7%), YouTube (85.1%), and Facebook (83.6%). YouTube and Twitter were popular for surgical education (77.3% and 68.2%, respectively). The most reported benefits of social media were improving patient education and professional networking (85.0%), where high users agreed more strongly about these benefits (P = 0.002). The most reported risks were seeing other residents (42%) or attendings (17%) with unprofessional behavior. High users disagreed more strongly about risks, including observing attendings with unprofessional behavior (P = 0.028).

conclusionsMost respondents were high users of social media, particularly Instagram, YouTube, and Facebook. High users incorporated social media into their surgical education while perceiving more benefits and fewer risks of social media.

Indexed as

COVID-19Social MediaCommunicationHumansSurveys and QuestionnairesGeneral surgeryResidency programResidentSocial mediaSoMeTrainee

Identifiers

PMID35561650
PMCPMC9677327

What OpenQuestion holds

Textmetadata
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.