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• W3113016427 abstract "Background Success in academic surgery is challenging and research cannot survive without funding. NIH K-awards are designed to mentor junior investigators to achieve independence. As a result we aimed to study K awardees in departments of surgery and learn from their experience. Material and methods Utilizing the NIH RePORTer database and filtering by department of surgery, clinically active surgeons receiving a K-award between 2008 and 2018 were asked to complete an online survey. Qualitative data from two open-ended questions were coded independently using standard qualitative methods by three researchers. Using grounded theory, major themes emerged from the codes. Results Of the 144 academic surgeons identified, 89 (62%) completed the survey. The average age was 39 ± 3 when the K-award was granted. Most identified as white (69%). Men (70%) were more likely to be married (P = 0.02) and have children (P = 0.05). To identify intention to pursue R01 funding, surgeons having a K-award for 5 y or more were analyzed (n = 45). Most either intended to (11%) or had already applied (80%) of which 36% were successful. Men were more likely to apply (P = 0.05). Major themes to succeed include protected time, mentorship, and support from leadership. Common barriers to overcome include balancing time, pressures to be clinically productive, and funding. Conclusions The demographics and career trajectory of NIH K-awarded surgeons is described. The lack of underrepresented minorities receiving grants is concerning. Most recipients required more than one application attempt and plan to or have applied for R01 funding. The major themes were very similar; a supportive environment and time available for research are the most crucial factors to succeed as an academic surgeon." @default.
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• W3113016427 date "2021-04-01" @default.
• W3113016427 modified "2023-10-17" @default.
• W3113016427 title "How to Support a Surgeon Scientist: Lessons from National Institutes of Health K-Award Recipients" @default.
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• W3113016427 doi "https://doi.org/10.1016/j.jss.2020.11.076" @default.
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