Appearance Dissatisfaction and Body Dysmorphic Disorder in the Dermatology Patient.

Dermatologists routinely see patients with inflammatory skin conditions and aesthetic concerns that involve substantial psychological comorbidity. However, most dermatologists do not receive formal training in this area, and many are unsure how to best help treat certain patients holistically. Body dysmorphic disorder (BDD) is a common and distressing psychiatric condition that disproportionately impacts dermatology patients, including patients living with chronic inflammatory skin conditions such as acne and atopic dermatitis. BDD is characterized by preoccupation with nonexistent or minimally noticeable flaws in physical appearance that cause clinically significant distress or impairment in functioning. Adolescent populations may be particularly vulnerable to clinically significant body image dissatisfaction, including BDD, due to the high prevalence of acne and the pervasive role of social media platforms. The rise of social media may exacerbate body image issues through repetitive exposure to idealized and often unrealistic beauty standards. Though screening questionnaires can assist dermatologists in recognizing BDD, dermatologists must collaborate with mental health providers to provide comprehensive care to vulnerable patients, including adolescents.J Drugs Dermatol. 2024;23(7):545-550.  doi:10.36849/JDD.8156.

South Dakota Dermatology: Urban vs Rural Wait Times and Dermatologist Density.

BACKGROUND: As of 2019, South Dakota had only 32 registered dermatologists, one per 27,569 people. Wait times for dermatologic care are affected by factors such as socioeconomic status, provider distribution, and patient to provider ratios. This inaccessibility to care or prolonged wait times may lead to diagnosis and treatment delays as well as disease progression. We hypothesized wait times to see a dermatologist would be longer in rural areas than urban areas in South Dakota. METHODS: Dermatology clinics throughout South Dakota were contacted to obtain wait times. An internet search was conducted to develop a list of dermatology providers. A population of 50,000 or greater defined an urban area and a ratio of four dermatologists per 100,000 people was used as an ideal patient to provider ratio. RESULTS: Overall, 75% of South Dakota's dermatology clinics participated with an equal rural to urban distribution. There was no difference in wait times for new (p=0.787) or established patients (p=0.461) comparing rural and urban clinics. All South Dakota cities with clinics met the goal patient to dermatologist ratio except for Dakota Dunes (included as part of the Sioux City, Iowa, metro population). CONCLUSIONS: The data does not support the hypothesis that wait times for dermatologists would be longer in rural locations than urban locations. Despite adequate dermatologist to patient ratios throughout most of South Dakota, wait times of over six weeks were found at both urban and rural locations, indicating the need for future studies to assess potential solutions for improving timely access to dermatologic care.

Nurses on shacking ground-A qualitative study of Danish dermatology and allergology nurses' experiences of relocation during the COVID-19 pandemic.

AIM: To investigate dermatology and allergology nurses' experiences of relocation from an outpatient clinic to a newly established COVID-19 infectious disease ward. DESIGN: A phenomenological-hermeneutical approach was applied. METHODS: Three focus groups with nurses were conducted from June to August 2020. Data were analysed in accordance with Ricoeur's theory of interpretation. RESULTS: The relocation represented a challenging period that involved uncertainty and evoked feelings of excitement and dedication towards the nursing profession. Nurses felt obligated to help; however, they also experienced that they did not have a say in the relocation. The placement on the infectious disease ward was characterized by adaptations in three areas: unfamiliar working environment, unfamiliar team competencies and inadequate nursing training. E-learning training was experienced as insufficient, as it did not enhance the nurses' specific competencies or confidence in caring for patients with COVID-19. CONCLUSION: The relocation of nurses from an outpatient clinic to a new COVID-19 infectious disease ward created a dilemma between nurses' sense of duty and their right to self-determination. A prompt relocation into a newly established unfamiliar field caused frustrations because there were no unspoken rules to rely on. Managers should take nurses' experiences and perceptions under careful consideration and strive for more involvement in future scenarios. PATIENT OR PUBLIC CONTRIBUTIONS: No patient or public contribution.

Fundamental dermatology education of medical doctors at a regional hospital in Johannesburg, South Africa.

Introduction: dermatology is a prevalent field of global health and dermatological conditions are amongst the most frequent complaints affecting communities, yet dermatology has become an overlooked aspect of the medical school curricula and many medical schools have failed to provide doctors with training to manage these conditions confidently and adequately. This study aimed to determine the baseline dermatological knowledge of medical doctors and determine the influence of fundamental dermatology education on hospital medical staff at a regional hospital in Johannesburg, South Africa. Methods: the knowledge and confidence of 33 medical doctors were tested using a pre-test and post-test quasi-experimental design. Participants completed an online questionnaire followed by an image-based test consisting of 20 questions to determine their level of confidence in diagnosing and managing common dermatological conditions. The participants then attended a sixty-minute educational session based on common dermatological conditions. Following this, their level of confidence and knowledge on the subject was re-assessed using the same online test. Pre and post-intervention confidence and test scores were compared. Results: the pre-intervention test mean score was 67.11%. The post-intervention mean score was 92.50%. The difference between means (post-intervention - pre-intervention) ± SEM was 25.39 ± 4.81. The intervention significantly improved overall test scores (p-value < 0.0001). Many participants felt that their undergraduate training was insufficient in preparing them for the management of common dermatological conditions. Conclusion: the baseline knowledge and confidence of medical doctors in managing common dermatological conditions was poor and such educational interventions have significant value in improving the ability of medical doctors in managing common dermatological conditions. More time should be dedicated to dermatology training at an undergraduate level.

The Clinical Utility of Teledermatology in Triaging and Diagnosing Skin Malignancies: Case Series.

With the increasing utilization of telemedicine since the COVID-19 pandemic, it is critical that clinicians have an appropriate understanding of the application of virtual care resources, including teledermatology. We present a case series of 3 patients to demonstrate the clinical utility of teledermatology in reducing the time to diagnosis of various rare and/or aggressive cutaneous malignancies, including Merkel cell carcinoma, malignant melanoma, and atypical fibroxanthoma. Cases were obtained from one large Midwestern medical center during the month of July 2021. Each case presented includes a description of the initial teledermatology presentation and reviews the clinical timeline from initial consultation submission to in-person clinic visit with lesion biopsy. This case series demonstrates real-world examples of how teledermatology can be utilized to expedite the care of specific vulnerable patient populations.

Understanding the Evaluation and Management Add-on Complexity Code.

On January 1, 2024, the new add-on complexity code for evaluation and management (E/M) services, G2211, went into effect. Understanding appropriate use of this code and how it can and cannot be utilized is of importance for all physicians. This article discusses the nuances of this code and gives examples of how to effectively incorporate it into practice.

Surgical Pearls and Wellness Tips From the American Academy of Dermatology Annual Meeting.

At the 2024 American Academy of Dermatology annual meeting in San Diego, California, attendees explored the latest advancements in clinical and surgical dermatology and physician well-being. Key takeaways for residents included enhancing surgical experiences, adapting ergonomic practices, and prioritizing both patient and physician well-being. The meeting underscored the importance of combining technical proficiency with compassionate patient care and continuous learning in dermatology.

NIH funding and journal selection: trends in dermatology publication models across tiers from 2021 to 2023.

This study examines the influence of National Institutes of Health (NIH) funding on the publication choices of dermatologists, particularly in terms of journal tiers and pay-to-publish (P2P) versus free-to-publish (F2P) models. Utilizing k-means clustering for journal ranking based on SCImago Journal Rank, h-index, and Impact Factor, journals were categorized into three tiers and 54,530 dermatology publications from 2021 to 2023 were analyzed. Authors were classified as Top NIH Funded or Non-Top NIH Funded according to Blue Ridge Institute for Medical Research rankings. The study finds significant differences in publication patterns, with Top NIH Funded researchers in Tier I journals demonstrating a balanced use of P2P and F2P models, while they preferred F2P models in Tier II and III journals. Non-Top NIH Funded authors, however, opted for P2P models more frequently across all tiers. These data suggest NIH funding allows researchers greater flexibility to publish in higher-tier journals despite publication fees, while prioritizing F2P models in lower-tier journals. Such a pattern indicates that funding status plays a critical role in strategic publication decisions, potentially impacting research visibility and subsequent funding. The study's dermatology focus limits broader applicability, warranting further research to explore additional factors like geographic location, author gender, and research design.

Skin color reporting in basal cell carcinoma-related randomized controlled trials in top dermatology journals: a systematic review.

OBJECTIVES: To determine the rate skin color is reported in randomized controlled trials (RCTs) involving basal cell carcinoma (BCC) identification and treatment in the top ten dermatology journals. METHODS: A systematic review was conducted of RCTs involving BCC among the top ten dermatology journals, determined by impact factor, from inception to July 11th, 2023. Studies were included if they reviewed the prevention, detection, and treatment of BCC, directly involved patients, and were classified as RCTs. Studies were classified as positive for reporting skin of color (SOC) if the demographic data in the methods or results included any of the following terms: Fitzpatrick scale, race, ethnicity, skin of color, or sunburn tendency. RESULTS: Of the 51 studies identified, only 23 articles reported data pertaining to skin color within the results section (45.1%); whereas 28 articles mentioned skin color somewhere within the text (54.9%). Subgroup analysis was performed, and no statistical significance was found for study location or year of publication. CONCLUSION: Dark skin color can make it more difficult to diagnose skin tumors and it is unknown if race affects response to treatment. Less than 50% of RCTs related to basal cell carcinoma in top international dermatology journals included skin color within the demographic portion of their results section pertaining to study participants. Subgroup analysis demonstrated that studies performed within the United States reported skin color less than half the time (40%). Additionally, there has been no statistically significant difference in reporting over the past 4 decades. Further research is necessary to determine whether low reporting rates of race/skin color in BCC-related RCTS could impact diagnostic or treatment recommendations for patient care in this group.

Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4.

Large language models (LLMs) are seen to have tremendous potential in advancing medical diagnosis recently, particularly in dermatological diagnosis, which is a very important task as skin and subcutaneous diseases rank high among the leading contributors to the global burden of nonfatal diseases. Here we present SkinGPT-4, which is an interactive dermatology diagnostic system based on multimodal large language models. We have aligned a pre-trained vision transformer with an LLM named Llama-2-13b-chat by collecting an extensive collection of skin disease images (comprising 52,929 publicly available and proprietary images) along with clinical concepts and doctors' notes, and designing a two-step training strategy. We have quantitatively evaluated SkinGPT-4 on 150 real-life cases with board-certified dermatologists. With SkinGPT-4, users could upload their own skin photos for diagnosis, and the system could autonomously evaluate the images, identify the characteristics and categories of the skin conditions, perform in-depth analysis, and provide interactive treatment recommendations.

Quality of life of dermatology outpatients and its associated factors in Halibet National Referral Hospital in Asmara, Eritrea.

Skin diseases are prevalent globally and can have detrimental effects on the individual's health-related quality of life (HRQoL). The treatment of dermatological patients typically focuses on clinical signs and symptoms and a subjective view of the impact of the disease on the patient's life. Assessing quality of life can help provide patients with better service, by acknowledging their real needs and interfering with treatment decisions. The aim of the study was therefore to assess quality of life of dermatology outpatients and its associated factors. An analytical cross-sectional study was conducted in the dermatology clinic of Halibet National Referral Hospital in Asmara, Eritrea. HRQoL data were collected between May 6 and August 18, 2022 using a validated standard tool (Skindex-29). Descriptive statistics, logistic regression and paired t-test were employed using Statistical Package for Social Sciences (Version-26.0). A total of 375 dermatology clinic out-patients with a median age of 29 (Interquartile range: 25) were included in the study. The most commonly seen skin diseases were eczema, seborrhoeic dermatitis and tinea pedis. Emotion, symptom, and functioning domains of HRQoL were severely impaired in 75.7%, 50.4% and 57.6% of all dermatology outpatients, respectively. More than half of the respondents (57.9%) had a severely impaired overall HRQoL. In the overall HRQoL, being a rural resident [Adjusted Odds Ratio (AOR) 1.98, 95% CI 1.18, 3.33] and presence of chronic illness (AOR 2.16, 95% CI 1.22, 3.82) were significantly associated with severely impaired overall quality of life. A significantly higher mean score (p < 0.001) was observed in emotion [Mean (M) = 55.60, Standard Deviation (SD) = 21.0] as compared to functioning (M = 46.89, SD = 21.2). On the other hand, significantly higher mean score (p < 0.001) was observed on symptom (M = 54.08, SD = 20.5) as compared to functioning (M = 46.89, SD = 21.2). Skin diseases severely affected the emotion, functioning, and symptom domains of health-related quality of life. This highlights the importance of providing physical and psychosocial support to patients with dermatologic problems.

Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis.

BACKGROUND: Dermatology is an ideal specialty for artificial intelligence (AI)-driven image recognition to improve diagnostic accuracy and patient care. Lack of dermatologists in many parts of the world and the high frequency of cutaneous disorders and malignancies highlight the increasing need for AI-aided diagnosis. Although AI-based applications for the identification of dermatological conditions are widely available, research assessing their reliability and accuracy is lacking. OBJECTIVE: The aim of this study was to analyze the efficacy of the Aysa AI app as a preliminary diagnostic tool for various dermatological conditions in a semiurban town in India. METHODS: This observational cross-sectional study included patients over the age of 2 years who visited the dermatology clinic. Images of lesions from individuals with various skin disorders were uploaded to the app after obtaining informed consent. The app was used to make a patient profile, identify lesion morphology, plot the location on a human model, and answer questions regarding duration and symptoms. The app presented eight differential diagnoses, which were compared with the clinical diagnosis. The model's performance was evaluated using sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and F1-score. Comparison of categorical variables was performed with the χ2 test and statistical significance was considered at P<.05. RESULTS: A total of 700 patients were part of the study. A wide variety of skin conditions were grouped into 12 categories. The AI model had a mean top-1 sensitivity of 71% (95% CI 61.5%-74.3%), top-3 sensitivity of 86.1% (95% CI 83.4%-88.6%), and all-8 sensitivity of 95.1% (95% CI 93.3%-96.6%). The top-1 sensitivities for diagnosis of skin infestations, disorders of keratinization, other inflammatory conditions, and bacterial infections were 85.7%, 85.7%, 82.7%, and 81.8%, respectively. In the case of photodermatoses and malignant tumors, the top-1 sensitivities were 33.3% and 10%, respectively. Each category had a strong correlation between the clinical diagnosis and the probable diagnoses (P<.001). CONCLUSIONS: The Aysa app showed promising results in identifying most dermatoses.

Visual Learning Equity Initiative Enhances Preclinical Dermatologic Image Representation: A Cross-Sectional Study.

Despite growing diversity in the United States population, studies show that medical education lacks representation of conditions in darker skin tones. Given that medical conditions present differently in different skin tones, limited exposure to images of darker tones in medical training may contribute to incorrect or delayed diagnoses, perpetuating health inequities. This study examines the preclinical curriculum at the Georgetown University School of Medicine (GUSOM) to report on its image representation with respect to skin tone and to assess the impact of a student-driven initiative in achieving visual learning equity (VLE). Of 1050 preclinical images, 58.2% depicted conditions in light/white skin tones, 31.3% in medium/brown, and 10.5% in dark/black. The microbiology and pathology courses had the highest percentages of dark/black and medium/brown images. Infectious disease images made up 36.3% of all images with 54.6% light/white, 31.5% medium/brown, and 13.9% dark/black. Overall, the first images representing conditions were 63.5% light/white, 30.0% medium/brown, and 6.6% dark/black. When dark/black images were presented first, 64.3% were of infectious diseases, compared to 35.1% for medium/brown and only 28.4% for white/light first images that were infectious diseases. A significant increase in images of conditions in darker skin tones was observed in the IRD course 2022 compared to the IRD course 2020 (P<.001). Our study highlights an underrepresentation of darker skin tones compared to lighter skin tones in the GUSOM preclinical curriculum. A student-led initiative significantly increased the representation of darker skin tones in dermatologic images, demonstrating the potential impact of such efforts in achieving VLE in medical education.J Drugs Dermatol. 2024;23(7):519-524.  doi:10.36849/JDD.7992.

DermTok: Who's Talking Sun? A Cross-Sectional Analysis of Sun Protection Content on TikTok.

Despite the widespread interest in dermatology on TikTok, studies have shown most related videos are not produced by board-certified dermatologists (BCDs) or other health professionals. To see if this trend extended to sun protection, we examined TikTok videos associated with sun safety to determine the proportion produced by BCDs. From August 25, 2023, to August 27, 2023, investigators input the following hashtags into the TikTok search bar: #sunscreen, #sunprotection, #spf, #skincancer, and #skinprotection. The top 100 videos in each category were analyzed and categorized based on the content creator. Additionally, we assessed whether videos explicitly addressed skin of color (SOC). Of the analyzed videos, only 16.6% originated from BCDs. Beauty bloggers/bloggers were the most prevalent creators in this category (38.7%), followed by patients/consumers (33.7%). Only 2.8% of the videos pertained to SOC patients. This highlights a gap in the type of educational content generated by dermatologists on TikTok, with sun safety being a potential subject to target within social media. Additionally, the small representation of videos addressing SOC patients underscores the need for more diverse and inclusive educational skincare content on TikTok.J Drugs Dermatol. 2024;23(7):571-574. doi:10.36849/JDD.8179.