Literature DB >> 30267295

Identification of Factors Associated with Hematology-Oncology Fellow Academic Success and Career Choice.

Ariela L Marshall1,2, Ruchi Gupta3, Diane Grill3, Susan Mann4, Kimberly Freidline4, Grzegorz Nowakowski4, Carrie Thompson4, Timothy Hobday5.   

Abstract

Factors affecting hematology-oncology trainees' academic success and career choices have not been well characterized. We performed a retrospective study of 57 hematology-oncology fellows trained at Mayo Clinic between 2008 and 2017 in an attempt to identify factors associated with success during fellowship and with career choice (academic versus private). Sex, age, residency quality, and letters of recommendation indicating a "top" applicant were not associated with hematology or oncology in-training examination (ITE) scores, research productivity (abstracts/publications during fellowship), or career choice (academic versus private). Fellows with higher United States Medical Licensing Examination (USMLE) scores were more likely to perform well on ITE, but examination scores did not predict academic productivity or academic versus private career choice. More academically productive fellows were more likely to choose academic careers. Both ITE scores and productivity were associated with receipt of national and/or institutional awards. Finally, fellows who were non-US citizens and/or international medical graduates (IMG) had higher academic productivity both pre-fellowship and during fellowship and as per the observations above were more likely to choose academic careers. In conclusion, predictors of superior knowledge differ from predictors of academic productivity/career choice, and it is important to take multiple factors into account when selecting candidates most likely to succeed during fellowship.

Entities:  

Keywords:  Fellowship; Hematology; Medical education; Oncology; Outcomes

Year:  2019        PMID: 30267295     DOI: 10.1007/s13187-018-1432-7

Source DB:  PubMed          Journal:  J Cancer Educ        ISSN: 0885-8195            Impact factor:   2.037


  15 in total

1.  Correlation of USMLE Step 1 scores with performance on dermatology in-training examinations.

Authors:  Katherine Fening; Anthony Vander Horst; Matthew Zirwas
Journal:  J Am Acad Dermatol       Date:  2010-10-30       Impact factor: 11.527

2.  The electronic residency application service application can predict accreditation council for graduate medical education competency-based surgical resident performance.

Authors:  Amy M Tolan; Amy H Kaji; Chi Quach; O Joe Hines; Christian de Virgilio
Journal:  J Surg Educ       Date:  2010 Nov-Dec       Impact factor: 2.891

3.  Using United States Medical Licensing Examination(®) (USMLE) examination results to predict later in-training examination performance among general surgery residents.

Authors:  Darrell R Spurlock; Charles Holden; Thomas Hartranft
Journal:  J Surg Educ       Date:  2010-11-05       Impact factor: 2.891

4.  Do U.S. medical licensure examination step 1 scores correlate with council on resident education in obstetrics and gynecology in-training examination scores and American board of obstetrics and gynecology written examination performance?

Authors:  Alicia Armstrong; Ruben Alvero; Peter Nielsen; Shad Deering; Randal Robinson; John Frattarelli; Kathleen Sarber; Patrick Duff; Joseph Ernest
Journal:  Mil Med       Date:  2007-06       Impact factor: 1.437

5.  Do United States Medical Licensing Examination (USMLE) scores predict in-training test performance for emergency medicine residents?

Authors:  Josef G Thundiyil; Renee F Modica; Salvatore Silvestri; Linda Papa
Journal:  J Emerg Med       Date:  2008-10-31       Impact factor: 1.484

6.  Predictors of a Successful Urology Resident Using Medical Student Application Materials.

Authors:  R Houston Thompson; Christine M Lohse; Douglas A Husmann; Bradley C Leibovich; Matthew T Gettman
Journal:  Urology       Date:  2017-07-24       Impact factor: 2.649

7.  Evaluating the quality of care provided by graduates of international medical schools.

Authors:  John J Norcini; John R Boulet; W Dale Dauphinee; Amy Opalek; Ian D Krantz; Suzanne T Anderson
Journal:  Health Aff (Millwood)       Date:  2010-08       Impact factor: 6.301

8.  The effects of gender and age on evaluation of trainees and faculty in gastroenterology.

Authors:  Erin W Thackeray; Andrew J Halvorsen; Robert D Ficalora; Gregory J Engstler; Furman S McDonald; Amy S Oxentenko
Journal:  Am J Gastroenterol       Date:  2012-11       Impact factor: 10.864

9.  Medical Knowledge Assessment by Hematology and Medical Oncology In-Training Examinations Are Better Than Program Director Assessments at Predicting Subspecialty Certification Examination Performance.

Authors:  Frances A Collichio; Brian J Hess; Elaine A Muchmore; Lauren Duhigg; Rebecca S Lipner; Steven Haist; Janine L Hawley; Carol A Morrison; Charles P Clayton; Marilyn J Raymond; Karen M Kayoumi; Scott D Gitlin
Journal:  J Cancer Educ       Date:  2017-09       Impact factor: 2.037

10.  Predicting performance using background characteristics of international medical graduates in an inner-city university-affiliated Internal Medicine residency training program.

Authors:  Balavenkatesh Kanna; Ying Gu; Jane Akhuetie; Vihren Dimitrov
Journal:  BMC Med Educ       Date:  2009-07-13       Impact factor: 2.463

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  1 in total

1.  Factors affecting senior medical students' career choice.

Authors:  Sophie Querido; Sjoukje van den Broek; Marlies de Rond; Lode Wigersma; Olle Ten Cate
Journal:  Int J Med Educ       Date:  2018-12-27
  1 in total

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