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In 2020, one study by Strait and colleagues raised awareness that the clinical images in rheumatology educational materials underrepresent people with skin of color (P‐SOC). Since then, publishers of rheumatology educational materials have focused on addressing this shortcoming. This study investigates the change in representation of P‐SOC following the review of Strait et al. We used the methods of the aforementioned study to collect images from commonly referenced rheumatology educational materials and categorized the skin tones within them as “light” or “dark.” We calculated the proportional change in images depicting dark skin tones between 2020 and 2022 from the American College of Rheumatology (ACR) Image Library, the 10th edition of Kelley's Textbook of Rheumatology, and New England Journal of Medicine(NEJM) as well as between 2020 and 2024 from rheumatology articles within UpToDate. We compared results using one‐sided Z‐tests. Overall, the proportion of images depicting dark skin tones increased 40.6% (P< 0.0001). The 10th edition of Kelley's Textbook of Rheumatology most significantly increased inclusion of P‐SOC (90.1%; P= 0.0039), with ACR Image Library, UpToDate, and NEJM also enhancing representation (41.9%, P< 0.0001; 31.0%, P= 0.0083; 28.2%, P= 0.3046, respectively). This study assesses the progress of rheumatology educational materials toward equitable representation of P‐SOC. It demonstrates that awareness coupled with focused efforts from educational publishers can enhance the proportion of images depicting dark skin tones, thereby enriching the quality of foundational knowledge relayed to rheumatology providers with the goal of improving health experiences and outcomes for P‐SOC with rheumatic diseases.

To increase the confidence of rheumatology fellows in training (FITs) in delivering virtual care (VC) and prepare them for independent practice, we developed educational materials addressing gaps in their skills. We identified gaps in telemedicine skills based on FIT performance in a virtual rheumatology objective structured clinical examination (vROSCE) station on VC delivery using video teleconference technology and survey (survey 1) responses. We created educational materials including videos of “mediocre” and “excellent” VC examples, discussion/reflection questions, and a document summarizing key practices. We measured change in the confidence levels of FITs for delivering VC with a post‐intervention survey (survey 2). Thirty‐seven FITs (19 first‐year, 18 second‐ plus third‐year fellows) from 7 rheumatology fellowship training programs participated in a vROSCE and demonstrated gaps in skills mapping to several Rheumatology Telehealth Competency domains. Confidence levels of FITs improved significantly from survey 1 to survey 2 for 22 of 34 (65%) questions. All participating FITs found the educational materials helpful for learning and reflecting on their own VC practice; 18 FITs (64%) qualified usefulness as “moderately” or “a lot.” Through surveying, 17 FITs (61%) reported implementing skills from the instructional videos into VC visits. Continually assessing our learners’ needs and creating educational materials addressing gaps in training are requisite. Using a vROSCE station, needs assessments, and targeted learning with videos and discussion‐guidance materials enhanced the confidence level of FITs in VC delivery. It is imperative to incorporate VC delivery into fellowship training program curricula to ensure breadth in skills, attitudes, and knowledge of new entrants into the rheumatology workforce.

Telehealth is an essential facet of care delivery for patients with rheumatic diseases. The Association of American Medical College's (AAMC) telehealth competencies (TCs) define the skills required for delivering general telehealth care across the range of clinician experience. In this study, the American College of Rheumatology's (ACR) TCs working group aimed to adapt the AAMC TCs to rheumatology, outlining the skills acquisition unique to rheumatology with a focus on knowledge, skills, and behaviors expected of recent rheumatology fellowship graduates. Through a collaborative process, the working group adapted the AAMC TCs to the training structure and practice of rheumatology. The rheumatology TCs underwent peer review among recipients of the Clinician Scholar Educator Award and attendees at the ACR 2021 Convergence conference. The rheumatology TCs define 24 essential skills required for synchronous telehealth care of patients with rheumatic diseases. The working group adapted the AAMC's 20 TCs organized within 6 domains, added 2 skills to the AAMC's domains of patient safety and appropriate use, and data collection and assessment, and created a novel domain of systems‐based requirements with 2 competencies. The rheumatology TCs define expected skill levels for recent rheumatology fellowship graduates and experienced rheumatology clinicians. The rheumatology TCs represent the first adaptation of the AAMC TCs to subspecialty care, expanding the scope to include rheumatology fellowship graduates and additional domains of rheumatology practice. These competencies can guide curricular innovations and measurements of proficiency in telehealth care delivery among rheumatology trainees and experienced clinicians, enhancing the care provided to patients with rheumatic diseases.

Lupus presents earlier and more severely among patients with skin of color (SOC), and this population experiences worse outcomes. Providers rely on medical education materials when developing skills to care for patients, yet these resources historically underrepresent patients with SOC and marginalize vulnerable populations. In this study, we investigated if this publication bias extends to images depicting patients with lupus. We reviewed published images of patients with lupus from rheumatology, dermatology, and internal medicine textbooks and medical journals, SOC atlases, online image libraries, UpToDate, and Google Images. We selected materials published from 2014 to 2019 that were available through our university's online medical library. We used the search terms “lupus” and “lupus rash” to identify images. We rated the skin color in each image using the New Immigrant Survey Skin Color Scale and categorized them as light, medium, or dark. We compared the frequencies of published skin tones with chi‐square and odds ratio analyses. We assessed the skin tone of 1,417 images. The significant majority (56.4%) of the images represented light skin (χ2= 490.14, P< 0.001). After SOC atlases, journals were the most inclusive of images depicting dark skin tones. The specialty of dermatology was most inclusive of medium and darker skin tones. Published images of lupus underrepresent patients with SOC, which may limit providers' ability to deliver care to the patients who are at greatest risk for complications.