Fig. 1
Assessment tool for features and diagnosis
Table 1
Demographics of first-year medical student participants
|
Audio (n = 68) |
Combined (n = 67) | |
|---|---|---|
|
Age |
26.13 ± 3.26 |
24.79 ± 1.64 |
|
Sex: Male |
32 (47%) |
39 (58%) |
|
Sex: Female |
34 (50%) |
27 (40%) |
|
Sex: Prefer not to answer |
2 (3%) |
1 (1%) |
|
Prior auscultation training |
14 (21%) |
9 (13%) |
Table 2
Repeated measures ANOVA comparison of feature and diagnostic accuracy by the audio and combined training cohorts with prior auscultation training as a covariate
|
Audio group (n = 60) a |
Combined group (n = 59) | ||||||
|---|---|---|---|---|---|---|---|
|
Feature accuracy | |||||||
|
Score b |
Mean |
95% CI |
Mean |
95% CI |
F |
p |
D s e |
|
Total c |
10.14 |
10.00–10.28 |
10.31 |
10.17–10.45 |
2.830 |
0.095 |
– |
|
Key d |
61% |
56–66% |
70% |
65–75% |
6.144 |
0.015 |
0.45 |
|
Diagnostic accuracy | |||||||
|
Score b |
Mean |
CI |
Mean |
CI |
F |
p |
D s e |
|
Diagnosis |
59% |
54–65% |
68% |
62–73% |
4.548 |
0.035 |
0.40 |
a ANOVA excludes participants that did not complete both assessments; 8 participants from each group did not complete assessment 2
b All scores are averaged across 14 cases per assessment and 2 assessments
c Total score is out of 11 features per case
d Key feature score indicates all 3 or 4 relevant features correctly identified for the case
e Cohen’s d s suggested cutoffs are small (0.2), medium (0.5), and large (0.8)