Dataset Information

Skin Color Representation in Ophthalmology Textbooks.

ABSTRACT:

Objective

Inadequate diversity in dermatologic images has been associated with diagnostic delays and poorer health outcomes. This underrepresentation of darker skin tones has also been demonstrated across various fields of medicine, including rheumatology, urology, and in the COVID-19 pandemic. The distribution of skin tones has not been examined in educational ophthalmology texts. The authors aimed to quantify the representation of skin tones across three leading ophthalmology textbooks.

Methods

Two independent investigators utilized the Fitzpatrick's skin phototype scale to code images containing skin as either "light" (Fitz. I-IV) or "dark" (Fitz. V-VI) in three fundamental ophthalmology textbooks: Clinical Ophthalmology (Salmon and Kanski), Ophthalmology (Yanoff and Duker), and the 13 Basic and Clinical Science Course texts by the American Academy of Ophthalmology. Images without discernible skin color were excluded.

Results

Of the 9766 images reviewed, 2305 images met inclusion criteria. The three textbooks combined were found to have 2123 (92.1%) images of light skin tones and 182 images (7.9%) of dark skin tones. When compared to national data that found 12.6% of individuals to have dark skin tones, the proportion of images with darker skin tones in ophthalmology textbooks was statistically significantly lower (χ ² _corr(1, N = 4996) = 211.7, p < 0.001).

Conclusions

Darker skin tones are statistically significantly underrepresented in textbooks that are central to education of trainees in ophthalmology. Acknowledgement and inclusion of skin tone diversity in ophthalmology educational materials are necessary to ensure that physicians in the field are equipped with the knowledge and training to provide the highest level of care to all patients.

Supplementary information

The online version contains supplementary material available at 10.1007/s40670-022-01636-4.

SUBMITTER: Cheng T

PROVIDER: S-EPMC9465660 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Skin Color Representation in Ophthalmology Textbooks.

Cheng Tiffany T Curley Michael M Barmettler Anne A

Medical science educator 20220912 5

<h4>Objective</h4>Inadequate diversity in dermatologic images has been associated with diagnostic delays and poorer health outcomes. This underrepresentation of darker skin tones has also been demonstrated across various fields of medicine, including rheumatology, urology, and in the COVID-19 pandemic. The distribution of skin tones has not been examined in educational ophthalmology texts. The authors aimed to quantify the representation of skin tones across three leading ophthalmology textbooks ...[more]

PMID: 36117946

Similar Datasets

Project description:BackgroundTo improve health equity, nursing curricula should include content specific to the needs of marginalized and underserved communities, such as lesbian, gay, bisexual, transgender, queer, and intersex groups (LGBTQI+). Harmful and absent academic discussions of LGBTQI+ patients lead to provider discomfort and inadequacy in treating this patient population. Nursing schools are well-positioned to increase comfort with LGBTQI+ content as part of pre-licensure curricula. This article presents a systematic evaluation of LGBTQI+ content in nursing pre-licensure textbooks and the nature and quality of the representations.MethodsA qualitative descriptive analysis of LGBTQI+ content from 14 nursing-specific textbooks required by a pre-licensure degree program at the Johns Hopkins School of Nursing was conducted by a student-led team with faculty oversight. A priori and iterative search terms were used to identify and extract text segments that referenced LGBTQI+ content in each textbook. An iterative codebook was developed, codes were applied, and analysis of the information and context in which the terms were presented was performed.ResultsThe research team observed gaps and notable patterns in distribution of LGBTQI+ terms and health content areas across the textbooks reviewed. The majority of LGBTQI+ search terms were identified in the following health content areas: social determinants of health, sexual/reproductive health, pediatric sexual & gender diversity, intersectionality, and infectious disease. Based on qualitative descriptive analyses, the data were organized into the following categories: a) Language; b) Medicalization; c) Vague, Incomplete, or Lacking Specificity; and d) Comprehensive Approach.ConclusionFindings highlight the need for increased academic exposure for pre-licensure nursing students regarding the care of LGBTQI+ patients. Thoughtful inclusion of LGBTQI+ content may better foster the delivery of evidence-based care for this patient population. These findings underscore the need for improved nursing curricula to support nurses in delivering affirming care for LGBTQI+ populations.

Project description:Nutritional and medicinal benefits have been attributed to the consumption of tissues from the black-boned chickens in oriental countries. Lueyang black-boned chicken is one of the native chicken breeds. However, some birds may instead have white or lighter skin, which directly causes economic losses every year. Previous studies of pigmentation have focused on a number of genes that may play important roles in coat color regulation. Illumina2000 sequencing technology was used to catalog the global gene expression profiles in the skin of the Lueyang chicken with white versus black skin. A total of 18,608 unigenes were assembled from the reads obtained from the skin of the white and black chickens. A total of 649 known genes were differentially expressed in the black versus white chickens, with 314 genes that were up regulated and 335 genes that were down-regulated, and a total of 162 novel genes were differentially expressed in the black versus white chickens, consisting of 73 genes that were up-regulated (including 4 highly expressed genes that were expressed exclusively in the skin of the black chickens) and 89 genes that were down-regulated. There were also a total of 8 known coat-color genes expressed in previous studies (ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R). In this study, 4 of which showed greater expression in the black chickens, and several were up-regulated, such as KIT, ASIP, TYR and OCA2. To our surprise, KITLG, MITF and MC1R showed no significant difference in expression between the black- and white-skinned chickens, and the expression of TYRP1 was not detected in either skin color. The expression of ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R was validated by real-time quantitative polymerase chain reaction (qPCR), and the results of the qPCR were consistent with the RNA-seq. This study provides several candidate genes that may be associated with the development of black versus white skin. More importantly, the fact that the MC1R gene showed no significant difference in expression between the black and white chickens is of particular interest for future studies that aim to elucidate its functional role in the regulation of skin color.

Dataset Information

Skin Color Representation in Ophthalmology Textbooks.

Objective

Methods

Results

Conclusions

Supplementary information

Publications

Skin Color Representation in Ophthalmology Textbooks.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets