| Literature DB >> 35471259 |
Tolga Memioglu1, Mehmet Ozyasar2.
Abstract
OBJECTIVE: In this study, we aimed to examine the content, reliability, and quality of YouTube video contents concerning myocarditis and its association with the COVID-19 for the first time in the literature.Entities:
Keywords: COVID-19; Myocarditis; Quality; Reliability; Vaccination; YouTube
Mesh:
Year: 2022 PMID: 35471259 PMCID: PMC9039268 DOI: 10.1007/s00392-022-02026-x
Source DB: PubMed Journal: Clin Res Cardiol ISSN: 1861-0684 Impact factor: 6.138
DISCERN scale
| # | Content analysis | Reliability |
|---|---|---|
| 1 | The explanations given in the vide are clear and understandable | Poor |
| 2 | Useful reference sources (publication cited, valid studies etc.) | Poor |
| 3 | The information given in the video is balanced and unbiased | Moderate |
| 4 | Additional sources of information are mentioned | Good |
| 5 | The video evaluates controversial or uncertain areas | Good |
DISCERN scores of 1 and 2 indicated poor reliability, 3 moderate reliability and 4 and 5 showed good reliability of the videos evaluated
Global quality scale (GQS)
| # | Content analysis | Quality |
|---|---|---|
| 1 | Not at all useful for patients: poor quality and flow, missing information | Poor |
| 2 | Limited usefulness: generally poor quality and flow, limited information is provided | Limited |
| 3 | Moderate usefulness: suboptimal flow, some important information is discussed, but others are poor | Moderate |
| 4 | Useful: good quality and flow, relevant information is provided, but some topics are not covered | High |
| 5 | Very useful: excellent quality and flow, covering all relevant information | Excellent |
GQS scores: 1 indicates poor quality, 2: of limited quality, 3: moderate quality, 4: high quality and 5: excellent quality of the video evaluated
Fig. 1Contents of the videos concerning myocarditis
Fig. 2Distribution of the video uploaders
The distribution of views, likes, dislikes and the comments of the videos according to the general features
| View | Like | Dislike | Comment | ||
|---|---|---|---|---|---|
| Real | 38 (76) | 6.510.763 | 79.670 | 14.205 | 19.115 |
| Animation | 12 (24) | 4.542.741 | 33.604 | 821 | 2.577 |
| Physician | 14 (28) | 3.899.884 | 37.863 | 3.114 | 14.140 |
| Hospital channel | 10 (20) | 1.097.636 | 8.318 | 313 | 2.324 |
| Health channel | 22 (44) | 5.968.036 | 60.985 | 11.531 | 4.610 |
| Patient | 2 (4) | 42.664 | 6.025 | 61 | 598 |
| Other | 2 (4) | 45.284 | 83 | 7 | 20 |
| COVID-19 | 6 (12) | 332.698 | 7.555 | 218 | 1.175 |
| Vaccination | 16 (32) | 4.424.978 | 56.928 | 13.487 | 16.877 |
| General info | 18 (36) | 4.811.376 | 37.988 | 1.043 | 2.952 |
| Diagnosis | 2 (4) | 7.792 | 152 | 2 | 14 |
| Patient experience | 4 (8) | 1.383.139 | 10.435 | 265 | 652 |
| Treatment | 4 (8) | 93.251 | 216 | 11 | 22 |
The mean length, daily views and VPI scores of the videos based on the general features
| Length (min) | Daily views | VPI (%) | ||
|---|---|---|---|---|
| Mean ± SD | Mean ± SD | Mean ± SD | ||
| Real | 38 (76) | 6.25 ± 5.20 | 13.297 ± 36.895 | 93.41 ± 10.66 |
| Animation | 12 (24) | 6.25 ± 04.40 | 1.427 ± 2.668 | 94.65 ± 6.33 |
| Physician | 14 (28) | 9.21 ± 05.03 | 8.175 ± 12.485 | 93.67 ± 5.83 |
| Hospital channel | 10 (20) | 5.21 ± 04.49 | 22.255 ± 58.726 | 94.54 ± 5.94 |
| Health channel | 22 (44) | 5.38 ± 05.07 | 8.425 ± 36.556 | 93.02 ± 10.93 |
| Patient | 2 (4) | 1.33 ± 02.18 | 13.04 ± 11.44 | 99.49 ± 0.50 |
| Other | 2 (4) | 2.50 ± 05.16 | 7.58 ± 5.10 | 91.62 ± 4.44 |
| COVID-19 | 6 (12) | 3.28 ± 04.53 | 191 ± 327 | 93.60 ± 6.75 |
| Vaccination | 16 (32) | 9.36 ± 05.05 | 31.940 ± 59.774 | 89.25 ± 16.54 |
| General info | 18 (36) | 6.46 ± 05.07 | 523 ± 1.218 | 95.99 ± 4.84 |
| Diagnosis | 2 (4) | 1.33 ± 02.18 | 4.6 ± 2.3 | 98.66 ± 1.33 |
| Patient experience | 4 (8) | 3.21 ± 04.55 | 186 ± 302 | 98.76 ± 1.68 |
| Treatment | 4 (8) | 2.00 ± 05.44 | 11 ± 7 | 94.54 ± 4.65 |
DISCERN and GQS scores of the videos according to the general features
| DISCERN | GQS | ||
|---|---|---|---|
| Mean ± SD | Mean ± SD | ||
| Real | 38 (76) | 3.76 ± 0.80 | 3.46 ± 0.85 |
| Animation | 12 (24) | 4.25 ± 0.77 | 4.17 ± 0.85 |
| Physician | 14 (28) | 4.32 ± 0.77 | 3.89 ± 0.83 |
| Hospital channel | 10 (20) | 3.80 ± 0.80 | 3.00 ± 0.85 |
| Health channel | 22 (44) | 3.82 ± 0.78 | 3.84 ± 0.87 |
| Patient | 2 (4) | 2.75 ± 0.84 | 2.50 ± 0.97 |
| Other | 2 (4) | 3.00 ± 0.87 | 3.75 ± 0.89 |
| COVID-19 | 6 (12) | 3.42 ± 0.80 | 3.17 ± 0.85 |
| Vaccination | 16 (32) | 4.21 ± 0.83 | 3.78 ± 0.87 |
| General info | 18 (36) | 4.06 ± 0.77 | 3.81 ± 0.86 |
| Diagnosis | 2 (4) | 3.50 ± 0.86 | 3.75 ± 0.85 |
| Patient experience | 4 (8) | 2.88 ± 0.82 | 3.00 ± 0.90 |
| Treatment | 4 (8) | 3.63 ± 0.83 | 3.50 ± 0.94 |
Correlation between the observers in terms of the mean DISCERN and GQS scores
| Mean ± SD | Cronbach | |||
|---|---|---|---|---|
| DISCERN 1 | 3.86 ± 0.76 | < 0.01 | 0.952 | 0.935 |
| DISCERN 2 | 3.90 ± 0.79 | |||
| GQS 1 | 3.64 ± 0.88 | < 0.01 | 0.961 | 0.894 |
| GQS 2 | 3.62 ± 0.83 |