| Literature DB >> 32349741 |
Abstract
BACKGROUND: The desire of medical students to eventually work with underserved and vulnerable populations (hereafter 'service interest'), has been shown to be shaped by individual factors including job satisfaction and financial considerations. School-level factors such as required longitudinal primary care experiences and the availability of extracurricular opportunities to work with underserved patients also affect service interest, but little is known about the impact of student volunteer activities.Entities:
Keywords: Medical education; Ordinal logistic regression; Underserved populations; Volunteerism
Mesh:
Year: 2020 PMID: 32349741 PMCID: PMC7191812 DOI: 10.1186/s12909-020-02048-x
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Medical student characteristics by desire to care primarily for an underserved or vulnerable population
| Answers to the question, ‘Do you plan to care primarily for an underserved or vulnerable population?’ | ||||
|---|---|---|---|---|
| No | Maybe | Yes | ||
| Age | 23.7 | 23.3 | 24.1 | 0.197 |
| Sex (Female) | 9 (38) | 31 (46) | 17 (57) | 0.366 |
| Race/Ethnicity (Nonwhite) | 3 (14) | 10 (16) | 8 (32) | 0.191 |
| Hometown (Rural) | 12 (54) | 35 (53) | 17 (56) | 0.272 |
| Active in religion/philosophy | 12 (55) | 35 (54) | 17 (57) | 0.976 |
| At least one parent physician | 8 (35) | 12 (18) | 5 (17) | 0.214 |
| Master’s degree | 1 (8) | 6 (9) | 6 (20) | 0.160 |
| MCAT Average Score | 30.8 | 30.6 | 29.2 | 0.118 |
| Undergraduate GPA Average | 3.78 | 3.77 | 3.76 | 0.914 |
| Medical School Percentile Average | 62.6 | 50.9 | 44.7 | 0.065 |
| Long-term goals | 0.038* | |||
| Primary care | 3 (16) | 10 (18) | 12 (40) | |
| Other specialty/ Subspecialise | 11 (58) | 25 (45) | 6 (20) | |
| Undecided | 5 (26) | 21 (38) | 12 (40) | |
| Plan to locate in underserved area | 2 (8) | 20 (30) | 19 (63) | < 0.001* |
| Undergraduate debt | 3,049 | 5,080 | 12,910 | 0.069 |
| Anticipated medical school debt | 109,102 | 114,395 | 86,000 | 0.300 |
| Anticipated total debt | 112,283 | 117,967 | 99,339 | 0.875 |
| Belief that debt at graduation influence career choice | 8 (35) | 25 (38) | 6 (20) | 0.218 |
| 4.0 | 5.0 | 3.6 | 0.588 | |
| Before medical school (premedical) | 2.1 | 3.2 | 4.3 | < 0.001* |
| High school | 1.3 | 2.7 | 3.2 | 0.004* |
| College | 3.0 | 4.6 | 5.3 | 0.008* |
| After College | 1.9 | 2.0 | 3.8 | 0.010* |
MCAT Medical College Admissions Test
*Indicates p value less than 0.05
Unadjusted and adjusted proportional odds ratios of medical students wanting to ultimately care for an underserved or vulnerable population
| Medical student characteristics | Proportional odds ratios (ORs) of medical students wanting to ultimately care for an underserved or vulnerable population | ||
|---|---|---|---|
| Crude OR | Adjusteda OR | Adjustedb OR | |
| Premedical volunteerism composite variable^ | |||
| Lowest tertile | (ref) | (ref) | (ref) |
| Middle tertile | 3.94 (1.59, 9.78) | 2.72 (0.99, 7.36) | 4.34 (1.32, 14.32) |
| Highest tertile | 5.92 (2.31, 15.13) | 4.33 (1.51, 12.40) | 5.68 (1.63, 19.81) |
| Being from a rural hometown* | 1.91 (0.91, 4.00) | 1.27 (0.44, 3.67) | |
| Medical school academic percentile^ | |||
| Lowest tertile | (ref) | (ref) | |
| Middle tertile | 1.29 (0.54, 3.06) | 2.40 (0.80, 7.19) | |
| Highest tertile | 0.33 (0.14, 0.79) | 0.58 (0.18, 1.83) | |
| Long-term career goals^ | |||
| Other specialty/ | (ref) | (ref) | |
| Subspecialise | |||
| Undecided | 2.45 (1.02, 5.82) | 1.64 (0.59, 4.54) | |
| Primary care | 4.39 (1.60, 12.05) | 1.95 (0.57, 6.73) | |
| Desire to locate practice in underserved area^ | |||
| No | (ref) | ||
| Maybe | 12.49 (4.79, 43.75) | ||
| Yes | 47.40 (13.67, 164.3) | ||
CI Confidence interval; ref. Reference; MCAT Medical College Admissions Test.
^Crude proportional odds ratio had a p-value less than 0.01.
*Crude proportional odds ratio had a p-value of 0.086
aModel adjusted for age, MCAT score, race/ethnicity, having a graduate degree, and undergraduate debt
b In addition to adjusting for the variables mentioned above, this model adjusted for long-term goals, hometown, and medical school percentile. Due to a high level of correlation between service interest and wanting to locate practice in an underserved area, the latter variable was not included in final adjusted models