| Literature DB >> 34931996 |
Shijie Song1, Xiang Xue2, Yuxiang Chris Zhao3, Jinhao Li4, Qinghua Zhu2, Mingming Zhao5.
Abstract
BACKGROUND: Chronic obstructive pulmonary disease (COPD) has become one of the most critical public health problems worldwide. Because many COPD patients are using video-based social media to search for health information, there is an urgent need to assess the information quality of COPD videos on social media. Recently, the short-video app TikTok has demonstrated huge potential in disseminating health information and there are currently many COPD videos available on TikTok; however, the information quality of these videos remains unknown.Entities:
Keywords: COPD; TikTok; information quality; short-video apps; social media
Mesh:
Year: 2021 PMID: 34931996 PMCID: PMC8726035 DOI: 10.2196/28318
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Search strategy and video screening procedure.
Characteristics of the sources of chronic obstructive pulmonary disease–related TikTok videos (N=199).
| Source | Description | Videos, n (%) | |
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| General users | Common TikTok users | 30 (15.1) |
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| Individual science communicators | Individuals who participate in general scientific communications, which may include but are not limited to health care domains | 39 (19.6) |
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| Health professionals | Individuals who describe themselves as health professionals | 99 (49.7) |
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| For-profit organizations | Private sector organizations | 18 (9.0) |
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| Nonprofit organization | Organizations or hospitals operating in the public sector | 8 (4.0) |
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| News agencies | Organizations providing news services | 5 (2.5) |
Characteristics of chronic obstructive pulmonary disease–related TikTok videos, by source
| Source of videos | Days on TikTok, median (IQR) | Video duration (seconds), median (IQR) | Number of likes, median (IQR) | Number of comments, median (IQR) | Number of shares, median (IQR) | |
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| For-profit organizations | 180 (39-297) | 59 (37-129) | 364 (115-4915) | 17 (7-32) | 19 (7-133) |
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| Nonprofit organizations | 148 (44-225) | 158 (74-206) | 24 (14-40) | 1 (0-2) | 1 (0-8) |
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| News agencies | 145 (22-147) | 34 (18-51) | 12 (1-18) | 0 (0-0) | 3 (1-3) |
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| Health professionals | 407 (144-490) | 57 (49-59) | 1031 (170-3203) | 54 (8-161) | 58 (12-334) |
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| Individual science communicators | 303 (147-491) | 85 (45-116) | 3 (1-11) | 0 (0-1) | 0 (0-5) |
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| General users | 237 (133-394) | 40 (15-59) | 19 (9-49) | 2 (1-5) | 1 (0-7) |
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| 276 (119-478) | 57 (43-88) | 125 (12-1597) | 7 (1-91) | 12 (1-118) | |
Figure 2Percentage of videos addressing each chronic obstructive pulmonary disease topic.
DISCERN scores of chronic obstructive pulmonary disease–related TikTok videos by source (N=199).
| Category | For-profit organizations (n=18) | Nonprofit organizations (n=8) | News agencies (n=5) | Health professionals (n=99) | Science communicators (n=39) | General users (n=30) | |||
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| .04 | ||||||||
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| Median | 30.5 | 34.5 | 34 | 32 | 33 | 30 |
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| Mean (SD) | 29.8 (5.9) | 34.5 (1.31) | 34.1 (1.4) | 31.1 (3.7) | 31.1 (4.4) | 29.7 (5.8) |
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| .053 | ||||||||
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| Median | 24.3 | 28 | 26 | 25.5 | 26 | 23 |
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| Mean (SD) | 22.8 (5.7) | 28.1 (2.93) | 27.3 (3.9) | 25.3 (4.2) | 25 (4.5) | 23.1 (6.1) |
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| .02 | ||||||||
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| Median | 4 | 4 | 4 | 4 | 4 | 4 |
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| Mean (SD) | 3.4 (0.9) | 4.2 (0.65) | 4.4 (0.5) | 3.8 (0.6) | 3.9 (0.7) | 3.6 (0.9) |
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| .01 | ||||||||
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| Median | 60 | 67 | 66 | 61 | 62 | 57 |
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| Mean (SD) | 56 (11.8) | 66.8 (3.8) | 65.8 (4.5) | 60.4 (7.3) | 60 (8.9) | 56.5 (11.1) |
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aP values were calculated with the Kruskal-Wallis H test.