Factors Influencing Shared Decision-Making Between Healthcare Providers and Lesbian, Gay, Bisexual, Transgender, and Queer People of Color About Intimate Partner Violence.

Within the lesbian, gay, bisexual, transgender, and queer (LGBTQ) community, people of color (POC) disproportionately experience intimate partner violence (IPV). While shared decision-making (SDM)-a model of patient-provider communication-about IPV could benefit LGBTQ POC, its unique challenges merit consideration. This study identifies key factors affecting SDM between LGBTQ POC and healthcare providers surrounding IPV. LGBTQ POC participants (n = 217) in Chicago and San Francisco completed surveys about demographic information, healthcare utilization, and IPV history. Individual interviews and focus groups were then conducted with a Chicago-based subset of participants (n = 46) who identified as LGBTQ IPV survivors of color. Descriptive analyses were conducted of survey responses while focus group and interview transcripts were analyzed and thematically coded. Although 71% of survey participants experienced IPV, only 35% were asked about IPV in healthcare interactions within the previous year. Focus group and interview participants endorsed encounter-, patient-, and provider-centered factors affecting SDM around IPV. When IPV was discussed, patient-provider trust was essential while concordance of identities could either encourage or discourage IPV disclosure. Patients were hesitant to disclose IPV if they had never discussed their LGBTQ identity with their provider or thought providers would ignore their preferences for addressing IPV. Deterrents to SDM included providers denying the prevalence of IPV among LGBTQ individuals or lacking resources to support LGBTQ IPV survivors of color. This study highlights the identity-driven barriers that LGBTQ POC face in discussing IPV with providers. Utilizing SDM to discuss IPV with LGBTQ POC can better address the diverse health needs of this community. However, its success requires that providers acknowledge the diversity of experiences among this population, promote LGBTQ-inclusive practices, and identify resources welcome to LGBTQ POC.

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.

Images depicting dark skin tones are significantly underrepresented in the educational materials used to teach primary care physicians and dermatologists to recognize skin diseases. This could contribute to disparities in skin disease diagnosis across different racial groups. Previously, domain experts have manually assessed textbooks to estimate the diversity in skin images. Manual assessment does not scale to many educational materials and introduces human errors. To automate this process, we present the Skin Tone Analysis for Representation in EDucational materials (STAR-ED) framework, which assesses skin tone representation in medical education materials using machine learning. Given a document (e.g., a textbook in .pdf), STAR-ED applies content parsing to extract text, images, and table entities in a structured format. Next, it identifies images containing skin, segments the skin-containing portions of those images, and estimates the skin tone using machine learning. STAR-ED was developed using the Fitzpatrick17k dataset. We then externally tested STAR-ED on four commonly used medical textbooks. Results show strong performance in detecting skin images (0.96 ± 0.02 AUROC and 0.90 ± 0.06 F1 score) and classifying skin tones (0.87 ± 0.01 AUROC and 0.91 ± 0.00 F1 score). STAR-ED quantifies the imbalanced representation of skin tones in four medical textbooks: brown and black skin tones (Fitzpatrick V-VI) images constitute only 10.5% of all skin images. We envision this technology as a tool for medical educators, publishers, and practitioners to assess skin tone diversity in their educational materials.

Expectation-based consumer purchase decisions: behavioral modeling and observations.

Expectations play important roles in consumers' purchase decisions. Among many types of expectations, consumers often form expectations on future market conditions when purchasing goods or services. This study develops a multiple-selves intertemporal choice model for such expectation-based purchase decisions, incorporating behavioral factors such as present-biased preferences into the model. An analysis based on the model shows that consumers adopt a threshold perception-perfect strategy when making purchase decisions and the threshold depends on values of model parameters that capture expectations on key market conditions. Different consumers often have different parameter values, leading to heterogeneous behavior. The study further applies the model to explain observations from medical service consumption data during the COVID-19 pandemic, and shows that the expectation-based purchase model provides a sound explanation for the observed heterogeneous purchase decisions across individuals with different incomes and health insurance status. Supplementary Information: The online version contains supplementary material available at 10.1007/s11002-022-09650-7.

Review of the Molecular Genetics of Basal Cell Carcinoma; Inherited Susceptibility, Somatic Mutations, and Targeted Therapeutics.

Basal cell carcinoma (BCC) is a significant public health concern, with more than 3 million cases occurring each year in the United States, and with an increasing incidence. The molecular basis of BCC is complex, involving an interplay of inherited genetic susceptibility, including single nucleotide polymorphisms and genetic syndromes, and sporadic somatic mutations, often induced by carcinogenic exposure to UV radiation. This review outlines the currently known germline and somatic mutations implicated in the pathogenesis of BCC, including the key molecular pathways affected by these mutations, which drive oncogenesis. With advances in next generation sequencing and our understanding of the molecular genetics of BCC, established and emerging targeted therapeutics are offering new avenues for the non-surgical treatment of BCC. These agents, including Hedgehog pathway inhibitors, immune modulators, and histone deacetylase inhibitors, will also be discussed.

Supporting Underrepresented in Medicine (UIM) and non-UIM Trainees Applying into Dermatology: A Qualitative Analysis.

BACKGROUND: Recently, there have been calls to improve diversity among the dermatology workforce, with emphasis placed on the resident selection process and trainee pipeline. However, there is limited data on the perspectives of dermatology applicants, especially among UIM trainees, and the support that they need and want to successfully apply in dermatology. METHODS: To assess trainee perspectives, we disseminated a survey to medical students, interns (matched into dermatology), and dermatology residents asking how dermatology residency programs can best support trainees through the dermatology application process. We developed a codebook drawing upon grounded theory methodology, and consensus coded all qualitative responses. RESULTS: We received 224 qualitative responses from underrepresented in medicine (UIM) (65, 29.0%) and non-UIM trainees (159, 70.9%). UIM trainees were more likely to mention diversity and inclusion initiatives (46.2% vs 3.8%, P<0.001), transparency in program information (40.0% vs 24.5%, P=0.021), holistic review (30.8% vs 6.3%, P<0.001), UIM student outreach/pipeline programs (23.1% vs 0.6%, P<0.001), and mentorship (21.5% vs 8.2%, P=0.009). CONCLUSION: Improving programmatic efforts to address unique challenges UIM trainees face when applying into dermatology is instrumental to mitigating barriers. We highlight opportunities for dermatology residency programs to create a more fair and equitable dermatology application process and support a more diverse pipeline of future dermatologists. J Drugs Dermatol. 2021;20(7):795-797. doi:10.36849/JDD.6043.

"Accutane Check": Insights into youth sentiment toward isotretinoin from a TikTok trend.

Social media platforms such as TikTok allow patients to exchange and share health information. In this study, we sought to understand how teenagers and young adults utilize TikTok to engage with acne and isotretinoin information. Analysis of the top 50 TikTok videos on an isotretinoin trend demonstrated over 18-million likes and 137-thousand comments. Most videos focused on before and after improvement in acne severity while video comments primarily discussed side effects and personal anecdotes. Dermatologists should be aware of trending content on social media to better understand how youth patients and patient's families may receive medical information regarding isotretinoin outside of dermatology clinics.

Search Trends and Quality of Online Resources Regarding Thyroidectomy.

OBJECTIVE: Thyroidectomy is one of the most common procedures performed in head and neck surgery. The quality of online resources for thyroidectomy is unknown. We aim to evaluate search trends and online resource quality regarding thyroidectomy. STUDY DESIGN: Cross-sectional analysis. SETTING: Websites appearing on Google search. METHODS: The first 30 Google websites for thyroidectomy were reviewed, excluding research, video, and restricted sites. Search patterns were obtained with Google Trends. Quality was measured by readability (Flesch Reading Ease and Flesch-Kinkaid Grade Level), understandability and actionability (Patient Education Materials Assessment Tool), and clinical practice guideline (CPG) compatibility. Fleiss kappa interrater reliability analysis was performed for 2 raters. RESULTS: Twenty-one sites were evaluated. Search popularity for thyroidectomy has increased since 2004. Median reading ease was 42.2 (range, 15.4-62.7) on a scale from 1 to 100, with 100 indicating maximum readability. Median reading grade level was 12 (range, 7-16). Thyroidectomy resources were poorly understandable (median, 66%; range, 21%-88%) and actionable (median, 10%; range, 0%-60%). Median CPG compatibility was 4 out of 5 (range, 0-5). Interrater reliability ranged from substantial to moderate for understandability (0.78), actionability (0.57), and CPG compatibility (0.58), with P < .05 for all results. CONCLUSION: Online resources about thyroidectomy vary in quality and reliability and are written at grade levels above the average reading level of the public. Providers should be aware of existing resources and work to create education resources that meet universal health literacy guidelines. The framework provided in this article may also serve as a guide and provide tangible steps that providers can take to help patients access care.