Evidence map›Paper›PMID 39156279›Full record

ArticleCureus2024

Assessing the Quality and Reliability of Videos Related to Fibromyalgia on TikTok: A Comprehensive Analysis.

Ahmed N Canatan

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 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

1 author.

Ahmed N CanatanSchool of Medicine, Marmara University, Istanbul, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Fibromyalgia, characterized by chronic musculoskeletal pain and associated symptoms, poses significant challenges in diagnosis and management. While social media platforms like TikTok have emerged as popular sources of health information, their variable content quality necessitates critical evaluation. This study aimed to assess the quality and reliability of TikTok videos related to fibromyalgia, thereby enhancing the understanding of their impact on patient education and self-management. Methods A cross-sectional observational study was conducted in June 2024, which analyzed 150 TikTok videos using search terms like "Fibromyalgia", "Fibromyalgia Symptoms", and "Fibromyalgia Treatment". Videos were evaluated for inclusion based on relevance and language (English), by employing the Global Quality Scale (GQS) and Quality Criteria for Consumer Health Information (DISCERN) score for assessment. Statistical analysis was performed by using IBM SPSS Statistics v21.0 (IBM Corp., Armonk, NY). The Kruskall-Wallis test was employed, and a p-value less than 0.05 was deemed statistically significant. Results Of the 150 videos initially reviewed, 96 (64%) met the inclusion criteria. Content categories included disease description (34, 35.42%), symptoms (81, 84.38%), management (64, 66.67%), and personal experiences (63, 65.63%). The videos were uploaded by doctors (8, 8.33%), patients (63, 65.63%), healthcare workers ( 7, 7.29%), and others (18, 18.75%). Mean GQS scores varied significantly by uploader type: doctors (4.63 ± 0.52), healthcare workers (3.43 ± 0.79), patients (2.37 ± 0.81), and others (2.11 ± 0.47) (p<0.001). DISCERN scores followed a similar trend: doctors (3.88 ± 0.64), healthcare workers (2.14 ± 1.46), patients (1.08 ± 0.27), and others (1.61 ± 0.50) (p<0.001). Conclusions TikTok serves as a pivotal platform for fibromyalgia-related discourse, predominantly shaped by patient-generated content. However, even though it provides insights into symptoms and management strategies, gaps exist in comprehensive medical guidance and preventive measures. The study underscores the critical role of healthcare professionals in enhancing content reliability and educational value on social media. Future research should explore cultural and linguistic diversity to broaden the accessibility and relevance of health information on platforms like TikTok.

Indexed as

fibromyalgiahealth informationpatient educationsocial mediatiktok

Identifiers

PMID39156279
PMCPMC11327841

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LicenceCC BY
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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.