| Literature DB >> 34020598 |
Georges N Nakhoul1,2, Ali Mehdi3,4, Jonathan J Taliercio3,4, Susana Arrigain5, Jesse D Schold5, Abby Spencer6, Jessica Greenfield7, Amit Diwakar8, Grace Snyder9, John O'Toole3,4, Joseph V Nally3,4, John R Sedor3,4, Patricia F Kao10, S Beth Bierer6.
Abstract
BACKGROUND: Interest in nephrology has been declining among internal medicine residents but the reasons behind this observation are not well characterized. Our objective was to evaluate factors influencing residents' choice of subspecialty.Entities:
Keywords: Education; Nephrology fellowship; Specialty training
Mesh:
Year: 2021 PMID: 34020598 PMCID: PMC8140430 DOI: 10.1186/s12882-021-02397-9
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Programs participating in the survey
| University of Arizona, Tucson | Arizona | 18 | 85 | 21.2 |
| University of Colorado, Denver | Colorado | 5 | 150 | 3.3 |
| University of North Dakota | North Dakota | 1 | 24 | 4.2 |
| Cleveland Clinic Florida | Florida | 9 | 32 | 28.1 |
| Mayo Clinic, Jacksonville | Florida | 5 | 52 | 9.6 |
| WellStar Atlanta Medical Center | Georgia | 2 | 30 | 6.7 |
| Michigan State University / Sparrow Hospital | Michigan | 19 | 45 | 42.2 |
| Saint Louis University | Missouri | 22 | 75 | 29.3 |
| Washington University of St. Louis | Missouri | 51 | 128 | 39.8 |
| University of North Carolina Chapel Hill | North Carolina | 22 | 95 | 23.2 |
| SUNY Upstate Medical University | New York | 27 | 131 | 20.6 |
| Cleveland Clinic main campus | Ohio | 61 | 165 | 37.0 |
| Cleveland Clinic Akron | Ohio | 15 | 36 | 41.7 |
| Cleveland Clinic Fairview | Ohio | 3 | 38 | 7.9 |
| Metrohealth systems | Ohio | 12 | 66 | 18.2 |
| University of Toledo | Ohio | 3 | 60 | 5.0 |
| University Hospitals Cleveland Medical Center | Ohio | 49 | 140 | 35.0 |
| Wright State University | Ohio | 12 | 75 | 16.0 |
| University of Tennessee | Tennessee | 10 | 90 | 11.1 |
| Vanderbilt University Medical Center | Tennessee | 26 | 139 | 18.7 |
| TIGMER | Texas | 4 | 17 | 23.5 |
| Texas Tech University (Permian Basin) | Texas | 2 | 43 | 4.7 |
| University of Virginia Medical Center | Virginia | 18 | 101 | 17.8 |
| Madigan Army Medical Center | Washington | 3 | 35 | 8.6 |
| Gundersen Lutheran Medical Center | Wisconsin | 2 | 24 | 8.3 |
| West Virginia University | West Virginia | 13 | 69 | 18.8 |
Respondent characteristics
| Factor | Total ( |
|---|---|
| Age | |
| < 25 | 3 (0.73) |
| 25–29 | 256 (62.1) |
| 30–34 | 135 (32.8) |
| > 34 | 18 (4.4) |
| Gender | |
| Male | 233 (56.6) |
| Female | 178 (43.2) |
| Other | 1 (0.24) |
| PGY year | |
| 1 | 142 (34.5) |
| 2 | 128 (31.1) |
| 3 | 126 (30.6) |
| Other | 16 (3.9) |
| Race/Ethnicity | |
| African American | 21 (5.1) |
| Asian: East Asian | 26 (6.3) |
| Asian: South East Asian | 74 (18.0) |
| Caucasian | 208 (50.7) |
| Hispanic/Latino | 26 (6.3) |
| Other | 55 (13.4) |
| School | |
| US Allopathic Medical School | 251 (61.1) |
| US Osteopathic Medical School | 45 (10.9) |
| International Medical School (Caribbean) | 28 (6.8) |
| International Medical School (other than Caribbean) | 87 (21.2) |
| Nationality | |
| US citizen | 320 (77.9) |
| US permanent resident | 11 (2.7) |
| H1/H2/H3 visa (temporary worker) | 27 (6.6) |
| J1/J2 visa (exchange worker) | 52 (12.7) |
| Other | 1 (0.24) |
| Type of program | |
| University-based program | 343 (82.7) |
| Community-based program | 61 (14.7) |
| Unsure | 11 (2.7) |
| Size of hospital | |
| < 200 beds | 3 (0.73) |
| 200–500 beds | 93 (22.5) |
| > 500 beds | 278 (67.3) |
| Unsure | 39 (9.4) |
| Tertiary/Referral center | |
| Yes | 365 (88.6) |
| No | 20 (4.9) |
| Unsure | 27 (6.6) |
Statistics presented as N (column %)
Completing rotation during clinical years of medical school vs. choosing fellowship specialty
| Rotations as a Medical Student | No ( | Cardiology ( | |
| Cardiology | 0.006c | ||
| No | 84 (84.8) | 15 (15.2) | |
| Yes | 118 (69.8) | 51 (30.2) | |
| No ( | GI ( | ||
| Gastroenterology | |||
| No | 131 (91.6) | 12 (8.4) | |
| Yes | 89 (71.2) | 36 (28.8) | |
| No ( | Hemato/Oncology ( | ||
| Hemato/Oncology | |||
| No | 167 (92.8) | 13 (7.2) | |
| Yes | 57 (64.8) | 31 (35.2) | |
| No ( | Pulmonary/Critical ( | ||
| Pulmonary/Critical Care | |||
| No | 96 (91.4) | 9 (8.6) | |
| Yes | 129 (79.1) | 34 (20.9) | |
| No ( | Rheumatology ( | ||
| Rheumatology | |||
| No | 208 (93.7) | 14 (6.3) | |
| Yes | 36 (78.3) | 10 (21.7) | |
| No ( | Nephrology ( | ||
| Nephrology | |||
| No | 164 (96.5) | 6 (3.5) | |
| Yes | 85 (86.7) | 13 (13.3) | |
| No ( | ID ( | ||
| Infectious disease | |||
| No | 161 (98.2) | 3 (1.8) | |
| Yes | 94 (90.4) | 10 (9.6) | |
| No ( | Endocrinology ( | ||
| Endocrinology | |||
| No | 206 (96.7) | 7 (3.3) | |
| Yes | 51 (92.7) | 4 (7.3) |
Statistics presented as N (row %)
p-values: cPearson’s chi-square test, dFisher’s exact test
Test comparing choosing Nephrology fellowship vs. all other specialties conditional on having completed rotation in that specialty as a medical student GEE p = 0.030
Fellowship choice, mentorship and rotations
| Fellowship I intend to pursue | Specialty of Mentor in Residencya | Rotations I rotated in during Medical Schoolb | Mandatory Rotations in Medical schoolb | |
|---|---|---|---|---|
| Cardiology | 66 (22.4) | 55 (20.2) | 249 (60.0) | 118 (28.4) |
| Gastroenterology | 48 (16.3) | 36 (13.2) | 169 (40.7) | 53 (12.8) |
| Hematology/Oncology | 44 (14.9) | 34 (12.5) | 130 (31.3) | 30 (7.2) |
| Pulmonary/Critical Care | 43 (14.6) | 40 (14.7) | 249 (60.0) | 145 (34.9) |
| Rheumatology | 24 (8.1) | 15 (5.5) | 68 (16.4) | 19 (4.6) |
| Nephrology | 19 (6.4) | 19 (7.0) | 147 (35.4) | 33 (8.0) |
| Endocrinology | 11 (3.7) | 6 (2.2) | 86 (20.7) | 28 (6.7) |
| General medicine | 5 (1.7) | 93 (34.2) | 358 (86.3) | 385 (92.8) |
| Infectious disease | 13 (4.4) | 21 (7.7) | 165 (39.8) | 33 (8.0) |
| Other | 22 (7.5) | 14 (5.1) | 20 (4.8) |
Statistics presented as N (column %)
aCould choose more than 1 mentor’s specialty
bMultiple rotations selected by each participant
Test of association between having a rotation in the specialty as a medical student and choosing the specialty in a fellowship among all 415 residents GEE p < 0.001
Multivariable logistic regression of choosing Highly Sought After vs. Less Sought After Fellowships
| OR (95% CI) | ||
|---|---|---|
| Age < 30 vs. | 0.94 (0.49, 1.77) | 0.84 |
| Female vs. Male | 2.64 (1.47, 4.74) | 0.001 |
| White vs. non-White | 0.69 (0.36, 1.30) | 0.25 |
| US vs. International Medical Graduates | 0.88 (0.34, 2.25) | 0.79 |
| US Citizen vs. other | 1.37 (0.50, 3.70) | 0.54 |
Fig. 1Residents’ perception of the nephrology specialty and factors influencing their career decisions. a. Displays residents’ perceptions of nephrology; residents were asked to relay their agreement to the corresponding statement relating to nephrology. b. Importance of factors promoting residents’ choice of a specialty generally (blue) and deterring them from pursuing nephrology specifically (red) displayed in percent
Fig. 2Factors influencing residents’ decision to pursue a specialty by gender. a. Shows the top factors that residents consider when pursuing a specialty. b. Shows the top factors that deter residents from pursuing nephrology. Male are represented in blue and females are represented in red
Fig. 3Exposure to Nephrology and quality of education during medical school and residency. Exposure to Nephrology during the pre-clinical years of medical school was defined as nephrology being taught as a separate individual block. Exposure to Nephrology during clinical years of medical school and residency was defined as a dedicated nephrology rotation ≥2 weeks long. Quality of nephrology education was rated on a scale of 1 (worst) to 100 (best)