Manuscript publication by urology residents and predictive factors.
OBJECTIVE
Many academic institutions have set expectations for peer reviewed publications, yet there is no objective guideline to gauge the performance of a urology resident or program. We quantified and determined predictive factors for resident manuscript production.


METHODS
Electronic surveys were sent to 255 chief residents and recent graduates of 83 accredited urological training programs in the United States and Canada. Survey questions pertained to manuscript submission and acceptance before and during residency, months of research incorporated into residency, PhD degree status and the pursuit of fellowship training.


RESULTS
Surveys were completed by 127 residents from 83 programs. The median number of manuscripts submitted and accepted during residency was 3 (range 0 to 32) and 2 (range 0 to 25), respectively. Months of protected research time and the number of publications before residency were significantly predictive of the number of manuscripts submitted during residency (p <0.001 and p <0.001, respectively). The number of manuscripts submitted during residency was significantly associated with entering fellowship training (p <0.05).


CONCLUSIONS
Manuscript preparation and publication are important aspects of the training process at a number of urological surgery residency programs. While the majority of residents are not involved in publication before residency, most submit and publish at least 1 manuscript as first author in a peer reviewed journal during residency. The number of prior publications and months of allotted research time are significantly predictive of resident manuscript productivity. In turn, manuscript submission is indicative of the decision to pursue fellowship training.
Hellenthal
Nicholas J
NJ
Department of Urology, University of California at Davis, Sacramento, California, USA.
Ramírez
Michelle L
ML
Yap
Stanley A
SA
Kurzrock
Eric A
EA
D003625:Data Collection; D007396:Internship and Residency; D011643:Publishing / Q000706:statistics & numerical data*; D014572:Urology