Table 1 Participant characteristics
Demographics (n) | Total (78) | Non-mentored (39) | Mentored (39) |
|---|---|---|---|
Age, years, mean (STD) | 30.8 (2.6) | 30.2 (2.2) | 31.3 (2.8) |
Male sex, n (%) | 39 (50%) | 21 (54%) | 18 (46%) |
Advanced degrees, n (%) | |||
- MD | 57 (73%) | 28 (72%) | 29 (74%) |
- DO | 2 (3%) | 1 (3%) | 1 (3%) |
- Additional Graduate degree | 18 (23%) | 10 (25.6%) | 9 (23%) |
Years since medical school, mean (STD) | 3.4 (1.7) | 3.7 (2.0) | 3.1 (1.3) |
Year in training, n (%) | |||
- PGY3 | 37 (47%) | 22 (56%) | 15 (38%) |
- PGY4a | 41 (53%) | 17 (44%) | 24 (62%) |
Prior epidemiology education, n (%) | 35 (45%) | 16 (41%) | 19 (49%) |
Prior biostatistics education, n (%) | 38 (49%) | 21 (54%) | 17 (44%) |
Prior evidence-based medicine education, n (%) | 48 (62%) | 27 (69%) | 21 (54%) |
Reads scientific journals, n (%) | 76 (97%) | 38 (97%) | 38 (97%) |
Participated in research, n (%) | 67 (86%) | 33 (85%) | 34 (87%) |
No. prior publications, n (%) | |||
- 0 | 32 (41%) | 16 (41%) | 16 (41%) |
- 1–5 | 39 (50%) | 19 (49%) | 20 (51%) |
- >5 | 7 (9%) | 4 (10%) | 3 (8%) |
Current faculty mentor, n (%) | 68 (87%) | 37 (95%) | 31 (79%) |
Baseline perceptions of biostatistics: 5-point Likert score (1 = strongly disagree to 5 = strongly agree) | |||
“Would like to learn more about biostatistics,” mean (STD) | 4.38 (0.84) | 4.44 (0.85) | 4.33 (0.84) |
“Can understand almost all of statistical terms in journal articles,” mean (STD) | 2.68 (0.93) | 2.64 (0.99) | 2.72 (0.89) |
“I do not trust statistics,” mean (STD) | 2.4 (0.87) | 2.54 (0.82) | 2.34 (0.91) |
“I use statistical information in medical care,” mean (STD) | 3.54 (0.94) | 3.49 (0.91) | 3.59 (0.97) |
“Necessary to know about statistics,” mean (STD) | 4.71 (0.54) | 4.64 (0.63) | 4.77 (0.43) |
Confidence in ability to, mean (STD) | |||
- Interpret p values | 3.73 (0.82) | 3.82 (0.76) | 3.64 (0.87) |
- Interpret statistical methods | 2.71 (0.69) | 2.74 (0.75) | 2.67 (0.62) |
- Assess if correct statistical procedure used | 1.96 (0.81) | 1.95 (0.76) | 1.97 (0.87) |
- Identify factors influencing study power | 2.45 (0.77) | 2.41 (0.88) | 2.49 (0.64) |
- Apply study results to clinical practice | 2.96 (0.69) | 2.97 (0.67) | 2.95 (0.7) |