Table 3.
Content Domains of ACP Tweets and Retweets According to Type of User
Topic | Organizations |
Influencers |
Individuals |
Clinicians |
All Users |
||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Tweets | Retweets | Tweets | Retweets | Tweets | Retweets | Tweets | Retweets | Tweets | Retweets | RT:T | |
Calls for action | 1,430 (11.9)a | 1,471 (3.9)a | 42 (7.5) | 245 (1.3)b | 1,978 (4.9)b | 1,263 (1.3)b | 788 (5.5)b | 849 (4)a | 4,238 (6.3) | 3,828 (2.2) | 0.9 |
NHDM | 1,591 (13.3)a | 2,065 (5.5)a | 19 (3.4) | 77 (0.4)b | 844 (2.1)b | 846 (0.8)b | 397 (2.8)b | 789 (3.7)a | 2,851 (4.2) | 3,777 (2.1) | 1.3 |
Personal experiences | 2,295 (19.1)b | 5,025 (13.4)b | 134 (24.1) | 7,988 (41.4)b | 11,807 (29.2)a | 68,875 (69.1)a | 4,121 (28.9)a | 4,934 (23.2)b | 18,357 (27.3) | 86,822 (48.8) | 4.7 |
Legal advice | 1,271 (10.6)b | 1,649 (4.4) | 66 (11.8) | 356 (1.8)b | 6,251 (15.5)a | 4,672 (4.7) | 2,184 (15.3) | 1,625 (7.6)a | 9,772 (14.5) | 8,302 (4.7) | 0.8 |
Discrimination | 1,400 (11.7)b | 9,811 (26.1)a | 64 (11.5)b | 2,046 (10.6)b | 8,366 (20.7)a | 14,189 (14.2)b | 2,731 (19.2) | 6,726 (31.6)a | 12,561 (18.7) | 32,772 (18.4) | 2.6 |
COVID-19 precautions | 1,135 (9.5)b | 2,412 (6.4)b | 59 (10.6) | 5,830 (30.2)a | 7,178 (17.8)a | 5,027 (5)b | 2,264 (15.9) | 2,115 (9.9)a | 10,636 (15.8) | 15,384 (8.7) | 1.4 |
Research | 2,867 (23.9)a | 15,102 (40.2)a | 173 (31.1)a | 2,744 (14.2)b | 3,953 (9.8)b | 4,839 (4.9)b | 1,754 (12.3) | 4,253 (20)a | 8,747 (13) | 26,938 (15.1) | 3.1 |
Total | 11,989 | 37,535 | 557 | 19,286 | 40,377 | 99,711 | 14,239 | 21,291 | 67,162 | 177,823 | 2.6 |
Data are presented as No. (%) unless otherwise indicated. Statistically significant cells representing values greater than expecteda or less than expectedb when comparing across different user types at Bonferroni-adjusted P < .001. ACP = advance care planning; NHDM = National Healthcare Decisions Month; RT:T = retweet:tweet ratio.