It's not all White: Implicit Racial Bias in Imagery Used in Plastic Surgery Resident Education.
Abstract
[OBJECTIVE] Plastic surgery education relies heavily on images featuring patient skin tone; while images can be useful representations, it is highly susceptible to implicit bias, a known contributor to healthcare disparities. Using skin tone as a proxy, this study evaluates patient representation in images used in the American Society of Plastic Surgery Resident Education Curriculum.
[DESIGN] Color photographs, graphics, and videos featured in the American Society of Plastic Surgery "Course Materials" for each module were categorized using the Fitzpatrick scale (I-II, III-IV, or V-VI) by six reviewers. Proportional data and average number ± standard deviation of photos and graphics for each category were reported. Significant difference between Fitzpatrick I to II and V to VI was investigated via a one-way analysis of variance with a Tukey's post-test to adjust for multiple comparisons.
[RESULTS] An average of 1861 photographs and 237 graphics were assessed with 82% (1518 ± 25.11) of photos and 97% (231 ± 24.45) of graphics categorized as Fitzpatrick I to II. A one-way analysis of variance with a Tukey's post-test demonstrates a statistical difference between images and graphics categorized as Fitzpatrick I to II and Fitzpatrick V to VI (p < 0.001).
[CONCLUSIONS] Our data reveals an opportunity to improve racial representation in resident education. When 76% of patients in the United States are white and 13% are Black, our findings demonstrate both an unequal and unrepresentative distribution of photos and graphics of non-white patients. Residency is a formative time in a surgeon's career and therefore, exposure to accurate representation of a diverse patient population is of the utmost importance.
[DESIGN] Color photographs, graphics, and videos featured in the American Society of Plastic Surgery "Course Materials" for each module were categorized using the Fitzpatrick scale (I-II, III-IV, or V-VI) by six reviewers. Proportional data and average number ± standard deviation of photos and graphics for each category were reported. Significant difference between Fitzpatrick I to II and V to VI was investigated via a one-way analysis of variance with a Tukey's post-test to adjust for multiple comparisons.
[RESULTS] An average of 1861 photographs and 237 graphics were assessed with 82% (1518 ± 25.11) of photos and 97% (231 ± 24.45) of graphics categorized as Fitzpatrick I to II. A one-way analysis of variance with a Tukey's post-test demonstrates a statistical difference between images and graphics categorized as Fitzpatrick I to II and Fitzpatrick V to VI (p < 0.001).
[CONCLUSIONS] Our data reveals an opportunity to improve racial representation in resident education. When 76% of patients in the United States are white and 13% are Black, our findings demonstrate both an unequal and unrepresentative distribution of photos and graphics of non-white patients. Residency is a formative time in a surgeon's career and therefore, exposure to accurate representation of a diverse patient population is of the utmost importance.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 해부 | skin
|
scispacy | 1 | ||
| 약물 | [OBJECTIVE]
|
scispacy | 1 | ||
| 약물 | [DESIGN] Color
|
scispacy | 1 | ||
| 약물 | [CONCLUSIONS]
|
scispacy | 1 | ||
| 질환 | non-white
|
scispacy | 1 | ||
| 기타 | patient skin
|
scispacy | 1 | ||
| 기타 | patient
|
scispacy | 1 | ||
| 기타 | Fitzpatrick I
|
scispacy | 1 | ||
| 기타 | Fitzpatrick V
|
scispacy | 1 | ||
| 기타 | patients
|
scispacy | 1 |
MeSH Terms
Bias, Implicit; Healthcare Disparities; Humans; Internship and Residency; Racial Groups; Racism; Surgery, Plastic; United States