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Am J Ophthalmol ; 227: 254-264, 2021 07.
Article in English | MEDLINE | ID: covidwho-1252396


PURPOSE: The purpose of this study was to characterize clinician-scientists in ophthalmology and identify factors associated with successful research funding, income, and career satisfaction. DESIGN: Cross-sectional study. METHODS: A survey was conducted of clinician-scientists in ophthalmology at US academic institutions between April 17, 2019, and May 19, 2019. Collected information including 1) demographic data; 2) amount, type, and source of startup funding; first extramural grant; and first R01-equivalent independent grant; 3) starting and current salaries; and 4) Likert-scale measurements of career satisfaction were analyzed using multivariate regression. RESULTS: Ninety-eight clinician-scientists in ophthalmology were surveyed across different ages (mean: 48 ± 11 years), research categories, institutional types, geographic regions, and academic ranks. Median startup funding ranged from $50-99k, and median starting salaries ranged from $150-199k. A majority of investigators (67%) received their first extramural award from the National Eye Institute, mainly through K-award mechanisms (82%). The median time to receiving their first independent grant was 8 years, mainly through an R01 award (70%). Greater institutional startup support (P = .027) and earlier extramural grant success (P = .022) were associated with earlier independent funding. Male investigators (P = .001) and MD degreed participants (P = .008) were associated with higher current salaries but not starting salaries. Overall career satisfaction increased with career duration (P = .011) but not with earlier independent funding (P = .746) or higher income (P = .300). CONCLUSIONS: Success in research funding by clinician-scientists in ophthalmology may be linked to institutional support and earlier acquisition of extramural grants but does not impact academic salaries. Nevertheless, career satisfaction among clinician-scientists improves with time, which is not necessarily influenced by research or financial success.

Biomedical Research/statistics & numerical data , Clinical Medicine/statistics & numerical data , Income/statistics & numerical data , Job Satisfaction , Laboratory Personnel/statistics & numerical data , Ophthalmology/statistics & numerical data , Research Support as Topic/statistics & numerical data , Adult , Aged , Cross-Sectional Studies , Female , Health Surveys , Humans , Male , Middle Aged , United States