| Literature DB >> 34811977 |
Bon San Koo1, Dam Kim2, Jae-Bum Jun3.
Abstract
BACKGROUND: YouTube has become an increasingly popular educational tool and an important source of healthcare information. We investigated the reliability and quality of the information in Korean-language YouTube videos about gout.Entities:
Keywords: Education; Gout; Patients; Rheumatologists
Mesh:
Year: 2021 PMID: 34811977 PMCID: PMC8608924 DOI: 10.3346/jkms.2021.36.e303
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Fig. 1Study flow.
Difference of variables according to usefulness
| Variables | Total (n = 140) | Useful (n = 105) | Misleading (n = 29) | Personal experience (n = 6) | ||
|---|---|---|---|---|---|---|
| Video source | < 0.001 | |||||
| Academic/professional | 16 (11.4) | 15 (14.3) | 0 (0.0) | 1 (16.7) | ||
| Health information websites | 63 (45.0) | 58 (55.2) | 4 (13.8) | 1 (16.7) | ||
| Healthcare professionals | 3 (2.1) | 0 (0.0) | 3 (10.3) | 0 (0.0) | ||
| Independent users | 21 (15.0) | 3 (2.9) | 15 (51.7) | 3 (50.0) | ||
| Physicians | 37 (26.4) | 29 (27.6) | 7 (24.1) | 1 (16.7) | ||
| Presenter | < 0.001 | |||||
| Broadcaster | 8 (5.7) | 5 (4.8) | 3 (10.3) | 0 (0.0) | ||
| Oriental_medicine_doctor | 3 (2.1) | 0 (0.0) | 3 (10.3) | 0 (0.0) | ||
| Orthopedist | 12 (8.6) | 11 (10.5) | 0 (0.0) | 1 (16.7) | ||
| Pharmacist | 10 (7.1) | 1 (1.0) | 9 (31.0) | 0 (0.0) | ||
| Physician | 20 (14.3) | 12 (11.4) | 7 (24.1) | 1 (16.7) | ||
| Rheumatologist | 74 (52.9) | 74 (70.5) | 0 (0.0) | 0 (0.0) | ||
| Other YouTube creators | 13 (9.3) | 2 (1.9) | 7 (24.1) | 4 (66.7) | ||
| Length of time uploaded (day) | 440.0 (277.0–866.0) | 395.0 (278.0–883.0) | 543.0 (276.0–847.0) | 538.0 (134.0–954.0) | 0.702 | |
| Playtime (min) | 5.9 (3.3–11.4) | 5.8 (3.2–12.8) | 6.0 (5.1–7.9) | 6.6 (2.1–16.7) | 0.967 | |
| Views | 2,808.5 (486.0–17,781.5) | 1,880.0 (243.0–12,728.0) | 10,515.0 (2,579.0–37,735.0) | 1,570.0 (420.0–8,150.0) | 0.01 | |
| Likes | 45.5 (6.5–183.5) | 27.0 (4.0–163.0) | 154.0 (71.0–1,073.0) | 51.5 (13.0–75.0) | < 0.001 | |
| Dislikes | 2.0 (0.0–9.0) | 1.0 (0.0–6.0) | 7.0 (2.0–21.0) | 0.5 (0.0–3.0) | 0.001 | |
| Likes per views | 1.3 (0.7–2.1) | 1.1 (0.7–1.9) | 2.0 (1.2–3.0) | 2.0 (0.6–3.2) | 0.016 | |
| Dislikes per views | 0.0 (0.0–0.1) | 0.0 (0.0–0.1) | 0.1 (0.0–0.1) | 0.0 (0.0–0.0) | 0.018 | |
| Likes per dislikes | 14.0 (4.6–28.0) | 11.5 (3.9–25.0) | 23.7 (19.3–34.1) | 15.9 (14.0–18.0) | 0.006 | |
| DISCERN | 3.0 (1.0–4.0) | 4.0 (3.0–4.0) | 1.0 (0.0–1.0) | 0.0 (0.0–1.0) | < 0.001 | |
| GQS | 4.0 (2.0–4.0) | 4.0 (3.0–5.0) | 2.0 (2.0–2.0) | 1.5 (1.0–2.0) | < 0.001 | |
Values are presented as median (interquartile range) or number (%).
DISCERN = The 5-point DISCERN tool, GQS = The 5-point Global Quality Scale.
Fig. 2Number of videos for each item in DISCERN (A) and number of videos for each item in GQS (B).
DISCERN = The 5-point DISCERN tool, GQS = The 5-point Global Quality Scale.
Fig. 3Relationship between playtime and views according to usefulness.