Erratum: Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health - ERRATUM.

[This corrects the article DOI: 10.1017/cts.2023.670.].

Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health.

Background/Objective: Non-clinical aspects of life, such as social, environmental, behavioral, psychological, and economic factors, what we call the sociome, play significant roles in shaping patient health and health outcomes. This paper introduces the Sociome Data Commons (SDC), a new research platform that enables large-scale data analysis for investigating such factors. Methods: This platform focuses on "hyper-local" data, i.e., at the neighborhood or point level, a geospatial scale of data not adequately considered in existing tools and projects. We enumerate key insights gained regarding data quality standards, data governance, and organizational structure for long-term project sustainability. A pilot use case investigating sociome factors associated with asthma exacerbations in children residing on the South Side of Chicago used machine learning and six SDC datasets. Results: The pilot use case reveals one dominant spatial cluster for asthma exacerbations and important roles of housing conditions and cost, proximity to Superfund pollution sites, urban flooding, violent crime, lack of insurance, and a poverty index. Conclusion: The SDC has been purposefully designed to support and encourage extension of the platform into new data sets as well as the continued development, refinement, and adoption of standards for dataset quality, dataset inclusion, metadata annotation, and data access/governance. The asthma pilot has served as the first driver use case and demonstrates promise for future investigation into the sociome and clinical outcomes. Additional projects will be selected, in part for their ability to exercise and grow the capacity of the SDC to meet its ambitious goals.

Advanced Practice Providers and Wait Times in Urology Offices: A Secret Shopper Study.

INTRODUCTION: Advanced practice providers (APPs), such as nurse practitioners and physician assistants, are a growing part of urology practices. However, the impact of APPs on improving new patient access in urology is unknown. We examined the impact of APPs on new patient wait times in a real-world sample of urology offices. METHODS: Research assistants posing as caretakers called urology offices in the Chicago metropolitan area and attempted to schedule a new patient appointment for an elderly grandparent with gross hematuria. Appointments were requested with any available provider: physician or APP. Descriptive measurements of clinic characteristics were reported and differences in appointment wait times were determined using negative binomial regressions. RESULTS: Of the 86 offices with which we scheduled appointments, 55 (64%) employed at least 1 APP but only 18 (21%) allowed for new patient appointments with APPs. When requested for the earliest appointment regardless of provider type, offices with APPs could offer shorter wait times compared to physician-only offices (10 vs 18 days; p=0.09). Initial appointments with an APP were available with a significantly shorter wait than those with a physician (5 days vs 15 days; p=0.04). CONCLUSIONS: Urology offices are commonly employing APPs but giving them a limited role in new patient visits. This suggests that offices with APPs may have an unrealized opportunity to improve new patient access. Further work is needed to better elucidate the role of APPs in these offices and how they might best be deployed.

UV Exposure and the Risk of Cutaneous Melanoma in Skin of Color: A Systematic Review.

Importance: While current evidence supports UV exposure as an important risk factor for cutaneous melanoma in fair-skinned populations, the evidence for this association in skin of color is less certain. Objective: To critically assess and synthesize the published data regarding the association between UV exposure and the risk of cutaneous melanoma in skin of color. Evidence Review: A search was conducted including PubMed, Cochrane, and Web of Science databases from database origin to June 3, 2020. Only peer-reviewed original studies were screened in full text. Eligible studies analyzed UV exposure as a risk factor for cutaneous melanoma in people with skin of color, which was defined broadly as any race/ethnicity other than non-Hispanic White, Fitzpatrick skin types IV through VI, or tanning ability of rarely or never burns. Measures of UV exposure included UV index, irradiance, latitude, history of phototherapy, and history of sunburn. Evidence quality was assessed using criteria from the Oxford Centre for Evidence-Based Medicine. Findings: After duplicate removal, 11 059 database records were screened, 548 full-text articles were assessed, and 13 met inclusion criteria. Study types included 7 ecological studies, 5 cohort studies, and 1 case-control study. All studies used race and/or ethnicity to categorize the participants, and more than 7700 melanomas in skin of color were included. Of the 13 studies that met inclusion criteria, 11 found no association between UV exposure and melanoma in skin of color, 1 study showed a small positive relationship in Black males, and 1 showed a weak association in Hispanic males. All studies were of moderate to low quality (Oxford Centre ratings 2b to 4). Conclusions and Relevance: In this systematic review, the evidence suggests that UV exposure may not be an important risk factor for melanoma development in people with skin of color. Current recommendations promoting UV protection for melanoma prevention in skin of color are not supported by most current studies. However, evidence is of moderate to low quality, and further research is required to fully elucidate this association.