Length of Fellowship Training in Population Health Research and Long-term Bibliometric Outcomes

Epidemiology. 2019 Nov;30 Suppl 2(Suppl 2):S85-S93. doi: 10.1097/EDE.0000000000001093.

Abstract

Background: The length of research fellowships, the number of doctorates pursuing them, and the academic job market have changed dramatically in recent years. However, there is limited investigation on attributes of fellowships most relevant to future scientific achievement. We analyzed the association of a modifiable aspect of research training, fellowship length, with future achievement and differences across research discipline in the Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health.

Methods: Demographics of 88 DIPHR trainees from 1998 to 2016 were collected from publicly available annual reports. Research performance metrics, including total publication count and H index through 2016, were collected via Scopus. We used linear regression models for associations between fellowship length, including both total exposure to research training and duration of postdoctoral training alone, and research performance adjusted for start year, publications at entry, branch (e.g., Biostatistics and Bioinformatics, Epidemiology, and Health Behavior), and mentor seniority.

Results: Each additional year of research training in DIPHR was associated with a 15% increase in H index (95% confidence interval [CI] = 3.0, 28.4) and 21% more lifetime publications (95% CI = 3.0, 41.9). Results were similar, although attenuated, when evaluating postdoctoral training alone. Differences by discipline were observed, with the strongest positive associations in the Biostatistics and Bioinformatics and Epidemiology Branches.

Conclusions: Longer training at DIPHR was associated with improved measures of research performance, though this relationship varied by discipline. Additional research is needed to tailor training programs to optimize success of trainees.

Publication types

  • Research Support, N.I.H., Intramural

MeSH terms

  • Bibliometrics*
  • Biomedical Research / statistics & numerical data
  • Educational Status
  • Fellowships and Scholarships / statistics & numerical data*
  • Female
  • Humans
  • Male
  • National Institute of Child Health and Human Development (U.S.) / statistics & numerical data
  • Population Health* / statistics & numerical data
  • Time Factors
  • United States