Table 3.
Results among cardiovascular surgeons according to the working title.
| Specialist (n=116) | Academician (n=57) | P-value | |
|---|---|---|---|
| Age (years) | 37.9±5.4 | 48.1±5.8 | 0.266a |
| Social media usage, n (%) | 106 (91.4%) | 49 (86%) | 0.273b |
| Instagram®, n (%) | 84 (79.2%) | 41 (83.7%) | 0.516b |
| Twitter®, n (%) | 33 (31.1%) | 23 (46.3%) | 0.057b |
| Account type | 0.011b | ||
| Open account, n (%) | 54 (50.9%) | 35 (72.9%) | |
| Hidden account, n (%) | 52 (49.1%) | 13 (27.1%) | |
| Frequency of sharing (pieces/week) | 3.03±10.53 | 2.47±5.34 | 0.167c |
| (median; min-max) | (1;0-100) | (1;0-35) | |
| Professional account use, n (%) | 20 (18.9%) | 13 (27.1%) | 0.25b |
| Surgery application through social media field, n (%) | 24 (22.6%) | 17 (35.4%) | 0.097b |
| Average surgery count (median; min-max) | 2.14±1,72 | 2.32±1.44 | 0.52c |
| (number/month) | (2; 0-7) | (2; 1-5) | |
| The use of social media has economic contributions, n (%) | 12 (11.3%) | 10 (20.8%) | 0.118b |
| The use of social media has scientific contribution, n (%) | 50 (47.2%) | 23 (47.9%) | 0.931b |
| Exposure to verbal violence from social media, n (%) | 6 (5.7%) | 9 (18.8%) | 0.017b |
| Medical sharing in social media provides information pollution, n (%) | 92 (79.3%) | 48 (84.2%) | 0.161b |
| Medical shares in social media should be inspected, n (%) | 89 (76.7%) | 49 (86.0%) | 0.249b |
a
Student’s t-test;
b
Chi-square test;
c
Mann-Whitney U test