Table 3 Breakdown of healthcare language identified by at least one participant by case
Case | Total word count | # Healthcare termsa identified (% word count) | # Inclusive termsa identified (% word count) | # Exclusive termsa identified (% word count) |
|---|---|---|---|---|
1 | 212 | 30 (32) | 30 (32) | 24 (25) |
2 | 121 | 22 (45) | 22 (45) | 18 (40) |
3 | 198 | 34 (29) | 34 (29) | 21 (16) |
4 | 133 | 13 (17) | 13 (17) | 10 (12) |
5 | 181 | 14 (17) | 13 (14) | 8 (9) |
6 | 124 | 29 (42) | 29 (42) | 24 (36) |
7 | 227 | 29 (30) | 28 (29) | 17 (20) |
8 | 142 | 32 (38) | 30 (37) | 27 (32) |
9 | 105 | 10 (16) | 10 (16) | 7 (11) |
10 | 126 | 10 (17) | 10 (17) | 2 (4) |
11 | 128 | 15 (18) | 14 (18) | 7 (10) |
12 | 125 | 22 (43) | 22 (43) | 13 (18) |
13 | 108 | 18 (40) | 18 (40) | 13 (27) |
14 | 143 | 12 (15) | 12 (15) | 5 (7) |
Total | 2073 | 290 | 285 | 196 |
Average | 148 | 21 (28) | 20 (28) | 14 (19) |