| Literature DB >> 32191187 |
Peter R Chai1,2,3,4, Stephanie Carreiro5, Brittany P Chapman5, Edward W Boyer1,2,3, Kelli N O'Laughlin6,7.
Abstract
INTRODUCTION: Emergency physicians face multiple challenges to obtaining federal funding. The objective of this investigation was to describe the demographics of federally-funded emergency physicians and identify key challenges in obtaining funding.Entities:
Year: 2020 PMID: 32191187 PMCID: PMC7081857 DOI: 10.5811/westjem.2019.12.45249
Source DB: PubMed Journal: West J Emerg Med ISSN: 1936-900X
Grant characteristics from NIH RePORTER (N=219).*
| Principal Investigator Demographics | ||
| Sex | Female | 57 (26.%) |
| Male | 162 (74%) | |
| Rank | Fellow | 2 (1%) |
| Instructor | 5 (3%) | |
| Assistant Professor | 55 (31%) | |
| Associate Professor | 47 (26%) | |
| Professor | 70 (39%) | |
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| Award characteristics | ||
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| Activity Code | K08 | 9 (4%) |
| K12 | 11 (5%) | |
| K23 | 34 (16%) | |
| K24 | 3 (1%) | |
| R01 | 63 (29%) | |
| R03 | 11 (5%) | |
| R18 | 8 (4%) | |
| R21 | 23 (11%) | |
| R34 | 6 (3%) | |
| R56 | 5 (2.3%) | |
| U01 | 10 (5%) | |
| U24 | 9 (4%) | |
| Start Year | 2010 | 29 (13%) |
| 2011 | 21 (10%) | |
| 2012 | 21 (10%) | |
| 2013 | 18 (8%) | |
| 2014 | 22 (10%) | |
| 2015 | 28 (13%) | |
| 2016 | 37 (17%) | |
| 2017 | 43 (20%) | |
| Admin Institute | NHLBI | 57 (26%) |
| NINDS | 28 (13%) | |
| AHRQ | 26 (12%) | |
| NIA | 19 (9%) | |
| NIDA | 17 (7.8%) | |
| NICHD | 11 (5.0%) | |
| NIDDK | 9 (4%) | |
| NIAAA | 8 (4%) | |
| NIGMS | 7 (3%) | |
| NIMH | 7 (3%) | |
| NIAID | 4 (2%) | |
| FIC | 3 (1%) | |
| NCIPC | 3 (1%) | |
| NIMHD | 3 (1%) | |
| NINR | 3 (1%) | |
These data include multiple grants awarded to the same individual.
Others, < 1 % N = 1–2 UM1, UH4, UH2, U34, U10, T35, T32, T15, RC4, RC1, R35, R25, R24, KL2, K99, K01, G20, F32, F31.
Others with < 1 % (NCATS, NCRR, NEI, NIEHS, NIOSH, NLM, ONCHIT).
NHLBI, National Heart, Lung and Blood Institute; NINDS, National Institute of Neurological Disorders and Stroke; AHRQ, Agency for Healthcare Research and Quality; NIA, National Institute of Aging; NIDA: National Institute on Drug Abuse; NICHD, Eunice Kennedy Shriver National Institute of Child Health and Human Development; NIDDK, National Institue of Diabetes and Digestive and Kidney Diseases; NIAAA, National Institute on Alcohol Abuse and Alcoholism; NIGMS, National Institute of General Medical Sciences; NIMH, National Institue of Mental Helath; NIAID, National Institute of Allergy and Infectious Diseases; FIC, Fogarty International Center; NCIPC, National Center for Injury Prevention and Control; NIMHD, National Institute on Minority Health and Health Disparities; NINR, National Institute of Nursing Research.
Figure 1Geographical distribution of NIH awards across the United States.
Principle investigator survey data.
| K Awardees (N=35) | R Awardees (N=61) | |
|---|---|---|
| Demographics | ||
| Sex | ||
| Female | 14 (41%) | 14 (23%) |
| Male | 20 (59%) | 46 (77%) |
| Age (median, IQR) | 41 (37, 45) | 47 (43, 56) |
| Ethnicity | ||
| Hispanic/Latino | 1 (3%) | 4 (7%) |
| Not Hispanic/Latino | 32 (97%) | 50 (89%) |
| Other | 0 (0%) | 2 (4%) |
| Race | ||
| Asian | 5 (15%) | 10 (17%) |
| Black or African American | 1 (3%) | 1 (2%) |
| White | 28 (82%) | 48 (80%) |
| Multi-racial | 0 (0%) | 1 (2%) |
| Rank at K award | ||
| Instructor | 4 (11%) | |
| Assistant Professor | 24 (69%) | |
| Associate Professor | 5 (14%) | |
| Professor | 2 (6%) | |
| Prior K award | ||
| No | N/A | 38 (63%) |
| Yes | N/A | 22 (37%) |
| Research focus and environment | ||
| Research EM focused | ||
| No | 10 (29%) | |
| Yes | 24 (71%) | |
| Mentor’s academic department | ||
| Emergency Medicine | 11 (32%) | 22 (40%) |
| Other | 14 (40%) | 16 (32%) |
| Cardiology | 5 (15%) | 1 (2%) |
| Internal Medicine | 4 (12%) | 12 (22%) |
| Any grant administrator support | ||
| No | 3 (9%) | 6 (10%) |
| Yes | 31 (91%) | 53 (88%) |
| Grants administrator availability | ||
| Both Pre- and Post-Award | 27 (87%) | 52 (98%) |
| Don’t know | 1 (3%) | 1 (2%) |
| Pre-Award Only | 1 (3%) | 0 (0%) |
| Post-Award Only | 2 (6%) | 0 (0%) |
| Clinical hours worked per month during K, median (IQR) | 48 (32, 55) | 41 (32, 55) |
Includes Psychiatry, Surgery, Behavioral Science, and “other”.
Qualitative themes for barriers to career development awards.
| Theme | Illustrative response |
|---|---|
| Lack of mentorship | “I avoided pursuing a K for a long time due to lack of perceived available mentors and a desire for more research funding and less funding for training.” |
| Managing time to prepare grants | “Clinical hours are a struggle. I currently need to further buy down my time in order to do the research.” |
| Administrative support | “Navigating the complex NIH system with little administrative support was a huge pain.” |