Evidence map›Paper›PMID 37575724›Full record

ArticleCureus2023

Instagram and Seizure: Knowledge, Access, and Perception of Circulating Information on the Internet.

Helen A O Popoola-Samuel, Hamsa Priya Bhuchakra, Tamara Tango, Naisargi Dharmendrakumar Pandya, Kiran Lakshmi Narayan

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Helen A O Popoola-SamuelNeurology, Rush University College of Health Sciences, Chicago, USA.
Hamsa Priya BhuchakraNeurology, Apollo Institute of Medical Sciences and Research, Hyderabad, IND.
Tamara TangoNeurosurgery, Faculty of Medicine, Universitas Indonesia, Jakarta, IDN.
Naisargi Dharmendrakumar PandyaNeurology, Dr. Kiran C. Patel Medical College and Research Institute, Bharuch, IND.
Kiran Lakshmi NarayanNeurology, Aasare Hospital, Nelamangala, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSocial media has many advantages as a tool in the healthcare industry. On the other hand, the disadvantages of using social media to obtain data include the unequal quality of uncontrolled and unchecked content. Our study aimed to assess the accuracy of the information on epilepsy or issues relevant to epilepsy observed on social media.

methodsA semi-structured online questionnaire was employed, which incorporated a reliability index and a global quality index. Five different hashtags were used to obtain the Instagram posts, i.e., #seizure, #seizures, #seizuredisorder, #seizureawareness, and #seizurefree.

resultsA total of 431 Instagram posts related to seizures were collected, of which 76.8% contained true information. Moreover, 6.3% of the total posts (n = 27) contained promotional content. The data were then divided into groups A and B based on their involvement in active patient care. Statistically, group A posts had more correct information being circulated when compared to group B (p = 0.000387). Group A posts also had a statistically significant higher mean global quality score (p = 0.0033). DISCUSSION: This current study provides a comprehensive reference on the usage of social media in epilepsy to assess the veracity of the information on epilepsy and related topics.

Indexed as

accesscirculating informationepilepsyinstagraminternetknowledgeperceptionseizure

Identifiers

PMID37575724
PMCPMC10412441

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.