Defining the Incidence of the Impostor Phenomenon in Academic Plastic Surgery: A Multi-Institutional Survey Study.
Plast Reconstr Surg
; 2023 Jun 12.
Article
em En
| MEDLINE
| ID: mdl-37307036
BACKGROUND: Impostor phenomenon occurs when high-achieving individuals have persistent self-doubt despite objective measures of competence and success, and has been associated with professional burnout and attenuated career advancement in medical specialties. This study aimed to define the incidence and severity of the impostor phenomenon in academic plastic surgery. METHODS: A cross-sectional survey containing the Clance Impostor Phenomenon Scale (0-100; higher scores indicating greater severity of impostor phenomenon) was distributed to residents and faculty from 12 academic plastic surgery institutions across the United States. Generalized linear regression was used to assess demographic and academic predictors of impostor scores. RESULTS: From a total of 136 resident and faculty respondents (response rate, 37.5%), the mean impostor score was 64 (SD 14), indicating frequent impostor phenomenon characteristics. On univariate analysis, mean impostor scores varied by gender (Female: 67.3 vs. Male: 62.0; p=0.03) and academic position (Residents: 66.5 vs. Attendings: 61.6; p=0.03), but did not vary by race/ethnicity, post-graduate year of training among residents, or academic rank, years in practice, or fellowship training among faculty (all p>0.05). After multivariable adjustment, female gender was the only factor associated with higher impostor scores among plastic surgery residents and faculty (Estimate 2.3; 95% Confidence Interval 0.03-4.6; p=0.049). CONCLUSION: The prevalence of the impostor phenomenon may be high among residents and faculty in academic plastic surgery. Impostor characteristics appear to be tied more to intrinsic characteristics, including gender, rather than years in residency or practice. Further research is needed to understand the influence of impostor characteristics on career advancement in plastic surgery.
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Base de dados:
MEDLINE
Tipo de estudo:
Incidence_studies
/
Prognostic_studies
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Risk_factors_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article