Children's Cardiology Up-to-Date Online Resources for Education (CUORE) Project: Remote Education for Training in Pediatric Critical Care Medicine

2011 ◽  
Vol 32 (6) ◽  
pp. 628-629
Author(s):  
Angelo Polito ◽  
Cristian Claveria ◽  
Debra Forbes Morrow ◽  
Daniel Springmuller ◽  
Dionne Graham ◽  
...  
Author(s):  
Sonali Basu ◽  
Robin Horak ◽  
Murray M. Pollack

AbstractOur objective was to associate characteristics of pediatric critical care medicine (PCCM) fellowship training programs with career outcomes of PCCM physicians, including research publication productivity and employment characteristics. This is a descriptive study using publicly available data from 2557 PCCM physicians from the National Provider Index registry. We analyzed data on a systematic sample of 690 PCCM physicians representing 62 fellowship programs. There was substantial diversity in the characteristics of fellowship training programs in terms of fellowship size, intensive care unit (ICU) bed numbers, age of program, location, research rank of affiliated medical school, and academic metrics based on publication productivity of their graduates standardized over time. The clinical and academic attributes of fellowship training programs were associated with publication success and characteristics of their graduates' employment hospital. Programs with greater publication rate per graduate had more ICU beds and were associated with higher ranked medical schools. At the physician level, training program attributes including larger size, older program, and higher academic metrics were associated with graduates with greater publication productivity. There were varied characteristics of current employment hospitals, with graduates from larger, more academic fellowship training programs more likely to work in larger pediatric intensive care units (24 [interquartile range, IQR: 16–35] vs. 19 [IQR: 12–24] beds; p < 0.001), freestanding children's hospitals (52.6 vs. 26.3%; p < 0.001), hospitals with fellowship programs (57.3 vs. 40.3%; p = 0.01), and higher affiliated medical school research ranks (35.5 [IQR: 14–72] vs. 62 [IQR: 32, unranked]; p < 0.001). Large programs with higher academic metrics train physicians with greater publication success (H index 3 [IQR: 1–7] vs. 2 [IQR: 0–6]; p < 0.001) and greater likelihood of working in large academic centers. These associations may guide prospective trainees as they choose training programs that may foster their career values.


2003 ◽  
Vol 4 (2) ◽  
pp. 196-202 ◽  
Author(s):  
Carol E. Nicholson ◽  
Bruce M. Gans ◽  
Anthony C. Chang ◽  
Murray M. Pollack ◽  
James Blackman ◽  
...  

2016 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Patrick M. Kochanek

2012 ◽  
Vol 13 (6) ◽  
pp. 623-624
Author(s):  
Patrick M. Kochanek ◽  
Niranjan Kissoon

2013 ◽  
Vol 14 (5) ◽  
pp. 454-461 ◽  
Author(s):  
David A. Turner ◽  
Richard B. Mink ◽  
K. Jane Lee ◽  
Margaret K. Winkler ◽  
Sara L. Ross ◽  
...  

2017 ◽  
Vol 18 (5) ◽  
pp. 403-404 ◽  
Author(s):  
Patrick M. Kochanek ◽  
Sapna R. Kudchadkar ◽  
Niranjan Kissoon

2020 ◽  
Vol 21 (1) ◽  
pp. 1 ◽  
Author(s):  
Patrick M. Kochanek

2001 ◽  
Vol 29 (Supplement) ◽  
pp. S211
Author(s):  
John M. Luce ◽  
Patrick M. Kochanek ◽  
Joseph E. Parrillo

2003 ◽  
Vol 19 (1) ◽  
pp. 1-5 ◽  
Author(s):  
DEREK S. WHEELER ◽  
CHRISTOPHER R. CLAPP ◽  
W. BRADLEY POSS

2016 ◽  
Vol 44 (12) ◽  
pp. 170-170
Author(s):  
Andrew Ausmus ◽  
Tara Petersen ◽  
Pippa Simpson

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