Table 2.
Behaviours | Never | Rarely | Sometimes | Often | Always | Often/Always |
---|---|---|---|---|---|---|
a) I generate by myself several plausible diagnostic hypotheses | 0 (0%) | 0 (0%) | 5 (10%) | 21 (43%) | 23 (47%) | 44 (90%) |
b) I argue for myself my diagnostic hypotheses * | 0 (0%) | 0 (0%) | 3 (6%) | 24 (50%) | 21 (44%) | 45 (94%) |
c) For a generated diagnostic hypothesis, I identify in the patient the clinical elements that support this diagnosis | 0 (0%) | 0 (0%) | 1 (2%) | 25 (51%) | 23 (47%) | 48 (98%) |
d) For a generated diagnostic hypothesis, I identify the clinical elements that do not support this diagnosis | 0 (0%) | 1 (2%) | 6 (12%) | 27 (55%) | 15 (31%) | 42 (86%) |
e) For a generated diagnostic hypothesis, I strive to identify additional elements that could be sought to support this diagnosis | 0 (0%) | 7 (14%) | 10 (20%) | 25 (51%) | 7 (14%) | 32 (65%) |
f) I repeat the same exercise for the plausible alternative diagnostic hypotheses that I consider | 0 (0%) | 3 (6%) | 13 (27%) | 28 (57%) | 5 (10%) | 33 (67%) |
g) I compare / contrast in writing the different diagnostic hypotheses by listing the pros and cons of each | 3 (6%) | 7 (14%) | 14 (29%) | 19 (39%) | 6 (12%) | 25 (51%) |
h) I assign an order of probability to the hypotheses I keep in my differential diagnosis | 0 (0%) | 1 (2%) | 7 (14%) | 21 (43%) | 20 (41%) | 41 (84%) |
i) For a given diagnostic hypothesis, I reactivate my knowledge of its usual (typical) clinical presentation (predisposing factors, symptoms and clinical signs) | 0 (0%) | 1 (2%) | 11 (22%) | 26 (53%) | 11 (22%) | 37 (75%) |
j) For a given diagnostic hypothesis, I try to revise or enrich my knowledge of its clinical presentation (predisposing factors, symptoms and clinical signs) * | 0 (0%) | 2 (4%) | 13 (27%) | 24 (50%) | 9 (19%) | 33 (69%) |
There are some missing data for SR. Percentage have been calculated on 48 responses for b and j, and 49 responses for the remaining items (a, c, d, e, f, g,h, i).