| Literature DB >> 27056564 |
Jillian L McGrath1, Jason J Bischof2, Sarah Greenberger2, Daniel J Bachmann2, David P Way2, Diane L Gorgas2, Nicholas E Kman2.
Abstract
BACKGROUND: Over time, Residency Match dynamics fluctuate with some specialties experiencing increases in medical student popularity. Academic departments with limited resources must devise methods for coping with increased demand for their specialty. Students perceive traditional programs on Match mechanics as inadequate. Subsequently, faculty are confronted with demands for more personal attention from more students.Entities:
Keywords: education, graduate medical, students; education, undergraduate medical; medical; student advising
Mesh:
Year: 2016 PMID: 27056564 PMCID: PMC4824846 DOI: 10.3402/meo.v21.31336
Source DB: PubMed Journal: Med Educ Online ISSN: 1087-2981
Fig. 1Number of medical school graduates matching in emergency medicine by graduation year at The Ohio State University College of Medicine.
Post-program survey responses from 8 faculty members and 17 medical student advisees regarding speed-advising sessions
| Faculty | Students | ||||||
|---|---|---|---|---|---|---|---|
| Item | Mn | Std Dev | Pct Agreement | Mn | Std Dev | Pct Agreement | |
| 1. | I found the speed-advising session to be informative | 4.50 | 0.54 | 100 | 4.59 | 0.51 | 100 |
| 2. | I found the speed-advising session to be an efficient use of my time | 4.63 | 0.52 | 100 | 4.59 | 0.51 | 100 |
| 3. | I found the speed-advising session to be fair and objective | 4.63 | 0.52 | 100 | 4.53 | 0.62 | 94.1 |
| 4. | F: I was comfortable answering student's personal questions/S: I was comfortable asking personal questions | 4.75 | 0.46 | 100 | 4.47 | 0.87 | 88.2 |
| 5. | F: Longer interactions are needed/S: I still need more time with individual faculty | 3.25 | 1.28 | 37.5 | 3.94 | 1.03 | 70.6 |
| 6. | F: Overall, I think the students questions were answered/S: My questions were adequately answered | 3.75 | 1.17 | 75.0 | 4.23 | 0.83 | 77.0 |
| 7. | F: I prefer this method of advising to individually scheduled meetings (20–30 min per student) | 4.63 | 0.74 | 87.5 | |||
| 8. | S: I found it helpful to meet with multiple faculty members to discuss matching in EM | 4.59 | 0.51 | 100 | |||
Likert response options were used and coded: 1=Strongly Disagree, 2=Disagree, 3=Neutral, 4=Agree, 5=Strongly Agree.
Pct Agreement is the percentage who replied with Strongly Agree or Agree.
F=faculty members, S= students, Mn= mean, Std Dev=standard deviation.
Fig. 2Mean ratings from students and faculty regarding opinions about speed-advising sessions.
Number (and percentage) of question topics that arose during speed-advising sessions as reported by 8 faculty members and 15 medical students
| Topics or questions | Faculty ( | Student ( | |
|---|---|---|---|
| 1. | USMLE scores | 4 (50.0) | 5 (33.3) |
| 2. | Grades | 4 (50.0) | 5 (33.3) |
| 3. | To which programs should I apply? | 8 (100) | 13 (86.7) |
| 4. | To how many programs should I apply? | 7 (87.5) | 12 (80.0) |
| 5. | Likelihood of matching in EM? | 3 (37.5) | 6 (40.0) |
| 6. | Non-clinical activities? | 2 (25.0) | 1 (6.7) |
| 7. | Future career goals? | 3 (37.5) | 5 (33.3) |
| 8. | Do you see any problems or blemishes on my application? | 5 (62.5) | 1 (6.7) |
| 9. | What about my standardized letters of evaluation? | 4 (50.0) | 6 (40.0) |
| 10. | Other question topics | 0 (0) | 1 (6.7) |