Evidence map›Paper›PMID 23703828›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Nationwide online social networking for cardiovascular care in Korea using Facebook.

Changsun Kim, Bo Seung Kang, Hyuk Joong Choi, Young Joo Lee, Gu Hyun Kang, Wook Jin Choi, In Ho Kwon

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02160509 (Telementoring for Emergency Ultrasonography Performed by Emergency Physicians), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT02160509 completednot on this map

Telementoring for Emergency Ultrasonography Performed by Emergency Physicians

Typeobservational_patient_registrySponsorHanyang UniversityRan2014 to 2015Enrolled103ConditionsTeleradiology, UltrasonographyArmsIPhone based realtime remote ultrasound interpretation
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Use of Facebook by Hospitals in Taiwan: A Nationwide Survey.International journal of environmental research and public health · 2018
    Article
  7. Article
  8. Review
  9. 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.

Changsun KimDepartment of Emergency Medicine, Guri Hospital, Hanyang University College of Medicine, Guri, GyeongGi, Republic of Korea.
Bo Seung Kang
Hyuk Joong Choi
Young Joo Lee
Gu Hyun Kang
Wook Jin Choi
In Ho Kwon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine the use of online social networking for cardiovascular care using Facebook. All posts and comments in a Facebook group between June 2011 and May 2012 were reviewed, and a survey was conducted. A total of 298 members participated. Of the 277 wall posts, 26.7% were question posts requesting rapid replies, and 50.5% were interesting cases shared with other members. The median response time for the question posts was 16 min (IQR 8-47), which tended to decrease as more members joined the group. Many members (37.4%) accessed the group more than once a day, and more than half (64%) monitored the group posts in real time with automatic notifications of new posts. Most members expressed confidence in the content posted. Facebook enables online social networking between physicians in near-real time and appears to be a useful tool for physicians to share clinical experience and request assistance in decision-making.

Indexed as

Social MediaSocial NetworkingAdultCardiovascular DiseasesEmergency MedicineFemaleHumansMaleRepublic of Koreacardiac caresocial network

Identifiers

PMID23703828
PMCPMC3912716

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.