| Literature DB >> 33244411 |
Jennifer M Kwan1,2, Omar Toubat2,3, Andrew M Harrison4,2, Megan Riddle5, Brian Wu3, Hajwa Kim6, David W Basta3, Alexander J Adami2,5, Dania Daye2,7.
Abstract
INTRODUCTION: While previous studies have described career outcomes of physician-scientist trainees after graduation, trainee perceptions of research-intensive career pathways remain unclear. This study sought to identify the perceived interests, factors, and challenges associated with academic and research careers among predoctoral MD trainees, MD trainees with research-intense (>50%) career intentions (MD-RI), and MD-PhD trainees.Entities:
Keywords: Physician-scientists; academic medicine; basic science research; clinical research; disparities; translational research
Year: 2020 PMID: 33244411 PMCID: PMC7681110 DOI: 10.1017/cts.2020.18
Source DB: PubMed Journal: J Clin Transl Sci ISSN: 2059-8661
Demographic characteristics of respondents by MD, MD-RI, and MD-PhD
| Demographic | Total, | MD-PhD, | MD-RI, | MD, |
|
|---|---|---|---|---|---|
| Gender | <.0001 | ||||
| Female | 2328 (56.3%) | 394 (47.6%) | 366 (56.1%) | 1568 (59.7%) | |
| Male | 1795 (43.4%) | 459 (52.4%) | 284 (43.5%) | 1052 (40.1%) | |
| Other | 11 (0.27%) | 3 (0.35%) | 3 (0.46%) | 5 (0.19%) | |
| Total | 4134 (100%) | 856 (100%) | 653 (100%) | 2625 (100%) | |
| Training stage | <.0001 | ||||
| Medical school year 1 | 1170 (28.2%) | 159 (18.6%) | 204 (31.1%) | 807 (30.7%) | |
| Medical school year 2 | 1046 (25.2%) | 131 (15.3%) | 160 (24.4%) | 755 (28.7%) | |
| Medical school year 3 | 680 (16.4%) | 68 (7.94%) | 116 (17.7%) | 496 (18.8%) | |
| Medical school year 4 | 685 (16.5%) | 84 (9.81%) | 120 (18.3%) | 481 (18.3%) | |
| Graduate school year 1 | 133 (3.21%) | 114 (13.3%) | 5 (0.76%) | 14 (0.53%) | |
| Graduate school year 2 | 103 (2.48%) | 96 (11.2%) | 4 (0.61%) | 3 (0.11%) | |
| Graduate school year 3 | 85 (2.05%) | 80 (9.35%) | 1 (0.15%) | 4 (0.15%) | |
| Graduate school year 4 | 88 (2.12%) | 82 (9.58%) | 1 (0.15%) | 5 (0.19%) | |
| Graduate school year 5 or more | 35 (0.84%) | 32 (3.74%) | 2 (0.30%) | 1 (0.04%) | |
| Total | 4145 (100%) | 856 (100%) | 656 (100%) | 2633 (100%) | |
| Race | <.0001 | ||||
| White | 2862 (71.0%) | 592 (71.5%) | 374 (58.5%) | 1896 (73.9%) | |
| Black or African American | 167 (4.14%) | 30 (3.62%) | 35 (5.48%) | 102 (3.98%) | |
| American Indian or Alaska Native | 10 (0.25%) | 1 (0.12%) | 0 (--) | 9 (0.35%) | |
| Asian or Pacific Islander | 427 (10.6%) | 101 (12.2%) | 89 (13.9%) | 237 (9.24%) | |
| Multiracial or other | 567 (14.1%) | 104 (12.6%) | 141 (22.1%) | 322 (12.6%) | |
| Total | 4033 (100%) | 828 (100%) | 182 (100%) | 638 (100%) | |
| Ethnicity | 0.0075 | ||||
| Hispanic | 242 (5.88%) | 45 (5.29%) | 56 (8.51%) | 141 (5.41%) | |
| Not Hispanic | 3871 (94.1%) | 805 (94.7%) | 602 (91.5%) | 2464 (94.6%) | |
| Total | 4113 (100%) | 850 (100%) | 658 (100%) | 2605 (100%) | |
| Marital status | <.0001 | ||||
| Is married/partnered | 1055 (26.1%) | 276 (32.8%) | 129 (19.6%) | 650 (25.6%) | |
| Is | 2987 (73.9%) | 566 (67.2%) | 529 (80.4%) | 1892 (74.4%) | |
| Total | 4042 (100%) | 842 (100%) | 658(100%) | 2542 (100%) | |
| Parental status | 0.0024 | ||||
| Has a child/children | 231 (5.72%) | 68 (8.08%) | 28 (4.26%) | 135 (5.31%) | |
| Does | 3810 (94.3 %) | 774 (91.9%) | 629 (95.7%) | 2407 (94.7%) | |
| Total | 4041 (100%) | 842 (100%) | 657 (100%) | 2542 (100%) | |
| How primarily paid for medical school | |||||
| MD-PhD or DO-PhD sponsored | 751 (18.4%) | 749 (88.2%) | 1 (0.15%) | 1 (0.04%) | <.0001 |
| Scholarships | 384 (9.43%) | 11 (1.30%) | 93 (14.2%) | 280 (10.9%) | <.0001 |
| Grants | 75 (1.84%) | 5 (0.59%) | 12 (1.84%) | 58 (2.26%) | <.0001 |
| Loans | 2132 (52.4%) | 62 (7.30%) | 402 (61.6%) | 1668 (64.9%) | <.0001 |
| National service | 50 (1.23%) | 2 (0.24%) | 8 (1.23%) | 40 (1.56%) | <.0001a |
| Personal savings | 46 (1.13%) | 2 (0.24%) | 13 (1.99%) | 31 (1.21%) | <.0001 |
| Family/partner support | 625 (15.35%) | 17 (2.00%) | 120 (18.4%) | 488 (19.0%) | <.0001 |
| Work | 6 (0.15%) | 1 (0.12%) | 3 (0.4%) | 2 (0.08%) | <.0001 |
| Other | 3 (0.07%) | 0 (–) | 1 (0.15%) | 2 (0.08%) | <.0001 |
Fisher’s exact calculated due to minimum cell count violations.
Career plans and intentions by MD, MD-RI, and MD-PhD
| Total, | MD-PhD, | MD-RI, | MD, |
| |
|---|---|---|---|---|---|
| Sector | |||||
| Academia | 1853 (47.01%) | 711 (85.77%) | 375 (57.34%) | 767 (31.19%) | <.001 |
| Private practice | 1038 (26.33%) | 32 (3.86%) | 115 (17.58%) | 891 (36.23%) | <.001 |
| Consulting | 75 (1.90%) | 16 (1.93%) | 18 (2.75%) | 41 (1.67%) | <.001 |
| Industry | 68 (1.73%) | 19 (2.29%) | 20 (3.06%) | 29 (1.18%) | <.001 |
| Government | 100 (2.54%) | 12 (1.45%) | 20 (3.06%) | 68 (2.77%) | <.001 |
| Hospitalist | 689 (17.48%) | 33 (3.98%) | 84 (12.84%) | 572 (23.26%) | <.001 |
| Career intention | |||||
| Clinical duties | 2564 (65.06%) | 154 (18.64%) | 340 (51.91%) | 2070 (84.15%) | <.001 |
| Education | 227 (5.76%) | 25 (3.03%) | 53 (8.09%) | 149 (6.06%) | <.001 |
| Clinical research | 205 (5.20%) | 47 (5.69%) | 95 (14.50%) | 63 (2.56%) | <.001 |
| Translational research | 444 (11.27%) | 354 (42.86%) | 70 (10.69%) | 20 (0.81%) | <.001 |
| Basic research | 206 (5.23%) | 187 (22.64%) | 17 (2.60%) | 2 (0.08%) | <.001 |
| Therapeutics/diagnostics | 71 (1.80%) | 32 (3.87%) | 12 (1.83%) | 27 (1.10%) | <.001 |
| Advocacy | 93 (2.36%) | 5 (0.61%) | 25 (3.82%) | 63 (2.56%) | <.001 |
| Administration | 60 (1.52%) | 3 (0.36%) | 23 (3.51%) | 34 (1.38%) | <.001 |
Perceptions of career feasibility by MD, MD-RI, and MD-PhD
| Total, | MD-PhD, | MD-RI, | MD, |
| |
|---|---|---|---|---|---|
| How feasible is a research-intense career in acute care medicine specialties (i.e. acute care, emergency medicine)? | < 0.01 | ||||
| Highly feasible | 250 (6.33%) | 65 (7.89%) | 54 (8.39%) | 131 (5.27%) | |
| Feasible | 1259 (31.9%) | 277 (33.6%) | 221 (34.3%) | 761 (30.6%) | |
| Difficult | 1656 (41.9%) | 317 (38.5%) | 247 (38.4%) | 1092 (44.0%) | |
| Highly difficult | 721 (18.2%) | 157 (19.1%) | 110 (17.1%) | 454 (18.3%) | |
| Impossible | 66 (1.67%) | 8 (0.97%) | 12 (1.86%) | 46 (1.85%) | |
| Total | 3952 (100%) | 824 (100%) | 644 (100%) | 2484 (100%) | |
| How feasible is a research-intense career in surgical specialties? | < 0.001 | ||||
| Highly feasible | 256 (6.48%) | 22 (2.67%) | 58 (8.99%) | 176 (7.09%) | |
| Feasible | 1191 (30.1%) | 116 (14.1%) | 222 (34.4%) | 853 (34.3%) | |
| Difficult | 1393 (35.3%) | 299 (36.3%) | 198 (30.7%) | 896 (36.1%) | |
| Highly difficult | 971 (24.6%) | 333 (40.5%) | 148 (23.0%) | 490 (19.7%) | |
| Impossible | 141 (3.57%) | 53 (6.44%) | 19 (2.95%) | 69 (2.78%) | |
| Total | 3952 (100%) | 823 (100%) | 645(100%) | 2484 (100%) | |
Career selection factor by MD, MD-RI, and MD-PhD
| Total, | MD-PhD, | MD-RI, | MD, |
| |
|---|---|---|---|---|---|
| Most important factors in career selection | |||||
| Ability to balance work and personal life | 1407 (35.8%) | 245 (29.5%) | 233 (34.2%) | 939 (38.3%) | <.0001 |
| Opportunities for patient care | 1329 (33.8%) | 122 (14.7%) | 164 (25.2%) | 1043 (42.5%) | <.0001 |
| Financial security | 165 (4.19%) | 29 (3.49%) | 43 (6.60%) | 93 (3.79%) | <.0001 |
| Opportunities to teach | 101 (2.57%) | 23 (2.77%) | 9 (2.91%) | 59 (2.41%) | <.0001 |
| Opportunities for research | 427 (10.9%) | 331 (39.8%) | 84 (12.9%) | 12 (0.49%) | <.0001 |
| Opportunities for community service | 124 (3.15%) | 7 (0.84%) | 19 (2.91%) | 98 (4.00%) | <.0001 |
| Opportunities for international work | 113 (2.87%) | 16 (1.93%) | 32 (4.91%) | 65 (2.65%) | <.0001 |
| Autonomy | 95 (2.41%) | 32 (3.85%) | 24 (3.68%) | 39 (1.59%) | <.0001 |
| Opportunities for student interactions | 36 (0.91%) | 2 (0.24%) | 11 (1.69%) | 23 (0.94%) | <.0001 |
| Prestige | 14 (0.36%) | 0 (–) | 5 (0.77%) | 9 (0.37%) | <.0001a |
| Opportunities for travel | 24 (0.61%) | 5 (0.60%) | 4 (0.61%) | 15 (0.61%) | <.0001a |
| Opportunities for local work | 19 (0.48%) | 2 (0.24%) | 5 (0.77%) | 12 (0.49%) | <.0001a |
| Opportunities for national work | 16 (0.41%) | 3 (0.36%) | 8 (1.23%) | 5 (0.20%) | <.0001a |
1Respondents could select up to two choices; will not sum to 100%.
Fisher’s exact calculated due to minimum cell count violations.
Experienced and predicted obstacles by MD, MD-RI, and MD-PhD
| Total, | MD-PhD, | MD-RI, | MD, |
| |
|---|---|---|---|---|---|
| Experienced obstacles1 | |||||
| Balancing family and work responsibilities | 1585 (35.8%) | 300 (34.8%) | 251 (38.1%) | 1034 (35.5%) | >.05 |
| Balance clinical, research, and education responsibilities | 897 (20.2%) | 246 (28.5%) | 182 (27.6%) | 469 (16.1%) | <.0001 |
| Loan repayment | 779 (17.6%) | 48 (5.56%) | 162 (24.6%) | 569 (20.0%) | <.0001 |
| Lack of opportunity/funding | 720 (16.2%) | 157 (18.2%) | 151 (22.9%) | 412 (14.2%) | <.0001 |
| Satisfactory professional development | 389 (8.78%) | 103 (11.9%) | 93 (14.1%) | 193 (6.63%) | <.0001 |
| Under-compensation | 271 (6.11%) | 82 (9.50%) | 49 (7.44%) | 140 (4.81%) | <.0001 |
| Discrimination/biases (sex/ethnicity) | 289 (6.52%) | 74 (8.57%) | 47 (7.13%) | 168 (5.77%) | 0.0108 |
| Not finding position in desired location | 331 (7.47%) | 85 (9.85%) | 57 (8.65%) | 189 (6.49%) | <.01 |
| Sexual harassment | 51 (1.15%) | 13 (1.51%) | 14 (2.12%) | 24 (0.82%) | 0.0102a |
| Malpractice/lawsuit | 28 (0.63%) | 1 (0.12%) | 4 (0.61%) | 23 (0.79%) | 0.0894a |
| Predicted obstacles | |||||
| Balancing family and work responsibilities | 1942 (49.6%) | 295 (35.7%) | 303 (46.5%) | 1344 (55.1%) | <.0001 |
| Balance clinical, research, and education responsibilities | 351 (8.96%) | 168 (20.3%) | 68 (10.4%) | 115 (4.71%) | <.0001 |
| Not finding position in desired location | 362 (9.24%) | 65 (7.87%) | 62 (9.51%) | 235 (9.63%) | <.0001 |
| Loan repayment | 537 (13.7%) | 16 (1.94%) | 105 (16.1%) | 416 (17.1%) | <.0001 |
| Under-compensation | 141 (3.60%) | 10 (1.21%) | 20 (3.07%) | 111 (4.55%) | <.0001 |
| Lack of opportunity/funding | 333 (8.50%) | 225 (27.2%) | 48 (7.36%) | 60 (2.46%) | <.0001 |
| Malpractice/lawsuit | 61 (1.56%) | 2 (0.24%) | 14 (2.15%) | 45 (1.84%) | <.0001 |
| Satisfactory professional development | 101 (2.58%) | 26 (3.15%) | 18 (2.76%) | 57 (2.34%) | <.0001 |
| Discrimination/biases (sex/ethnicity) | 47 (1.20%) | 10 (1.21%) | 7 (1.07%) | 10 (1.23%) | <.0001 |
| Sexual harassment | 3 (0.08%) | 1 (0.12%) | 2 (0.31%) | 0 (–) | <.0001a |
Respondents could select up to two choices; will not sum to 100%.
Fisher’s exact calculated due to minimum cell count violations.
Research and career intention across training stages
| MS1–2, | GS1–3, | GS4+, | MS3–4, |
| |
|---|---|---|---|---|---|
| Sector | |||||
| Academia | 778 (37.1%) | 255 (81.7%) | 102 (85.7%) | 643 (50.0%) | <.0001 |
| Private practice | 602 (28.7%) | 12 (3.9%) | 8 (6.7%) | 400 (30.8%) | |
| Consulting | 45 (2.1%) | 6 (1.9%) | 0 (0.0%) | 23 (1.8%) | |
| Industry | 37 (1.8%) | 10 (3.2%) | 1 (0.8%) | 18 (1.4%) | |
| Government | 72 (3.4%) | 8 (2.6%) | 3 (2.5%) | 25 (1.9%) | |
| Hospitalist | 506 (24.1%) | 15 (4.8%) | 3 (2.5%) | 157 (12.1%) | |
| Career intention | |||||
| Clinical duties | 1467 (70.0%) | 62 (20.0%) | 25 (21.4%) | 938 (72.5%) | <.0001 |
| Education | 100 (4.8%) | 10 (3.2%) | 8 (6.8%) | 104 (8.0%) | |
| Clinical research | 99 (4.7%) | 22 (7.1%) | 4 (3.4%) | 60 (4.6%) | |
| Translational research | 184 (8.8%) | 127 (41.0%) | 42 (35.9%) | 81 (6.3%) | |
| Basic research | 83 (4.0%) | 58 (18.7%) | 28 (23.9%) | 29 (2.2%) | |
| Therapeutics/diagnostics | 35 (1.7%) | 15 (4.8%) | 5 (4.3%) | 15 (1.2%) | |
| Advocacy | 59 (2.8%) | 4 (1.3%) | 0 (0.0%) | 25 (1.9%) | |
| Administration | 30 (1.4%) | 3 (1.0%) | 1 (0.9%) | 24 (1.9%) | |
| Career intention time allocation: research/clinical ratios | |||||
| 100/0 | 28 (1.3%) | 10 (3.1%) | 6 (4.9%) | 22 (1.6%) | 0.0026 |
| 75/25 | 266 (12.0%) | 144 (44.9%) | 55 (44.7%) | 130 (9.5%) | <.0001 |
| 50/50 | 324 (14.6) | 106 (33.0%) | 30 (24.4%) | 191 (14.0%) | <.0001 |
| 25/75 | 1018 (45.9%) | 53 (16.5%) | 28 (22.8%) | 656 (48.1%) | <.0001 |
| 0/100 | 541 (24.4%) | 5 (1.6%) | 2 (1.6%) | 351 (25.7%) | <.0001 |