2023 The Angle orthodontist

Does YouTube provide adequate information about orthodontic pain?

, ,

The Angle orthodontist Vol. 93 (4) : 403-408 • Jul 2023

OBJECTIVES: To evaluate the content and quality of information about orthodontic pain on YouTube. MATERIALS AND METHODS: YouTube was searched using the keywords "orthodontic pain" and "brace pain." A total of 65 videos were chosen for the final analysis. Videos were classified into high- and low-content groups using an eight-point scoring system and reviewed according to selected orthodontic pain-related topics. Video quality was rated by the Video Information and Quality Index (VIQI) and Global Quality Scale (GQS). Statistical data analysis was performed using SPSS 28.0 software, Mann-Whitney U-tests, chi2 tests, and Spearman correlation coefficients. RESULTS: Most YouTube videos related to orthodontic pain were low content (86.2%), and a few were high content (13.8%). Pharmacological pain relief was the most prevalent topic (50.8%), followed by duration of pain (32.3%) and influence of pain on patient quality of life (29.2%). The least-mentioned topic was possible location of pain (7.7%). Most of the videos were uploaded by laypeople (64.6%). Videos uploaded by dental professionals had significantly higher means of GQS scores (P = .035), flow of information (P < .001), information quality (P = .008), and total VIQI (P < .001). Compared with low-content, high-content videos had a higher mean of flow of information (P = .037). There was a weak correlation between total content and GQS scores and a strong correlation between GQS and VIQI scores (r = 0.740; P < .01). CONCLUSIONS: Overall, YouTube was found to be an inadequate source of information on orthodontic pain.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.