A Provider-Based Approach to Address Racial Disparities in Lupus Clinical Trial Participation.

OBJECTIVE: Substantial disparities exist in clinical trial participation, which is problematic in diseases such as lupus that disproportionately affect racial/ethnic minority populations. Our objective was to examine the effectiveness of an online educational course aiming to train medical providers to refer Black and Latino patients to lupus clinical trials (LCTs). METHODS: The American College of Rheumatology's Materials to Increase Minority Involvement in Clinical Trials (MIMICT) study used an online, randomized, 2-group, pretest/posttest design with medical and nursing providers of multiple specialties. We exposed intervention group participants to an education course, while the control group participants received no intervention. Controlling for the effects of participant characteristics, including specialty, and professional experience with lupus, we modeled relationships among exposure to the education course and changes in knowledge, attitudes, self-efficacy, and intentions to refer Black and Latino patients to LCTs. We also examined education course satisfaction. RESULTS: Compared to the control group, the intervention group had significantly higher posttest scores for knowledge, self-efficacy, and intentions to refer Black and Latino patients to LCTs. Both medical and nursing trained intervention group participants had significantly higher mean posttest scores for knowledge and intentions to refer compared to the medical and nursing trained control group participants. Attitude was insignificant in analysis. The online education course, which received a favorable summary score, indicated that satisfaction and intentions to refer were strongly and positively correlated. CONCLUSION: The MIMICT education course is an effective method to educate medical providers about LCTs and to improve their intentions to refer Black and Latino patients.

Integrating Datasets on Public Health and Clinical Aspects of Sickle Cell Disease for Effective Community-Based Research and Practice.

Sickle cell disease (SCD) is a genetic disease that has multiple aspects including public health and clinical aspects. The goals of the research study were to (1) understand the public health aspects of sickle cell disease, and (2) understand the overlap between public health aspects and clinical aspects that can inform research and practice beneficial to stakeholders in sickle cell disease management. The approach involved the construction of datasets from textual data sources produced by experts on sickle cell disease including from landmark publications published in 2020 on sickle cell disease in the United States. The interactive analytics of the integrated datasets that we produced identified that community-based approaches are common to both public health and clinical aspects of sickle cell disease. An interactive visualization that we produced can aid the understanding of the alignment of governmental organizations to recommendations for addressing sickle cell disease in the United States. From a global perspective, the interactive analytics of the integrated datasets can support the knowledge transfer stage of the SICKLE recommendations (Skills transfer, Increasing self-efficacy, Coordination, Knowledge transfer, Linking to adult services, and Evaluating readiness) for effective pediatric to adult transition care for patients with sickle cell disease. Considering the increased digital transformations resulting from the COVID-19 pandemic, the constructed datasets from expert recommendations can be integrated within remote digital platforms that expand access to care for individuals living with sickle cell disease. Finally, the interactive analytics of integrated expert recommendations on sickle cell disease management can support individual and team expertise for effective community-based research and practice.

Knowledge Visualizations to Inform Decision Making for Improving Food Accessibility and Reducing Obesity Rates in the United States.

The aim of this article is to promote the use of knowledge visualization frameworks in the creation and transfer of complex public health knowledge. The accessibility to healthy food items is an example of complex public health knowledge. The United States Department of Agriculture Food Access Research Atlas (FARA) dataset contains 147 variables for 72,864 census tracts and includes 16 food accessibility variables with binary values (0 or 1). Using four-digit and 16-digit binary patterns, we have developed data analytical procedures to group the 72,684 U.S. census tracts into eight and forty groups respectively. This value-added FARA dataset facilitated the design and production of interactive knowledge visualizations that have a collective purpose of knowledge transfer and specific functions including new insights on food accessibility and obesity rates in the United States. The knowledge visualizations of the binary patterns could serve as an integrated explanation and prediction system to help answer why and what-if questions on food accessibility, nutritional inequality and nutrition therapy for diabetic care at varying geographic units. In conclusion, the approach of knowledge visualizations could inform coordinated multi-level decision making for improving food accessibility and reducing chronic diseases in locations defined by patterns of food access measures.

Harnessing Knowledge for Improving Access to Fruits and Vegetables at Farmers Markets: Interactive Data Visualization to Inform Food Security Programs and Policy.

High consumption of fruits and vegetables leads to decreased risk of various chronic diseases, including obesity and cardiovascular disease. Community-level barriers to access fruits and vegetables include the high cost, limited availability, and transportation. Farmers markets are a priority strategy for improving community access to fresh fruits and vegetables. The U.S. Department of Agriculture (USDA) National Farmers Market Directory is a voluntary self-reported data source on farmers markets. The objective of this investigation of the USDA farmers markets data directory was to determine how farmers markets in the United States are grouped according to (1) availability of fruits and vegetables and (2) the payment accepted. We designed and implemented interactive data visualizations in visual analytics software to understand access to fruits and vegetables at farmers markets from 8,497 entries in the USDA Farmers Market Directory. Among the 665 new or updated entries in year 2018, a subset of 641 (96%) farmers markets with availability of fresh fruits and vegetables had 16 subgroups. Additionally, a subgroup of 102 (16%) farmer markets accepted all four federal nutrition assistance benefits (SFMNP, SNAP, WIC CVVs, and WIC FMNP). The interactive data visualizations including geographic maps connected to social media resources can be useful in advocacy efforts and can inform policy improvements designed to improve physical, social, and economic access to fruits and vegetables at farmers markets.

Social Network Gap Analysis Evaluation: A Case Study of the Southeastern Health Equity Council.

Despite the growing emphasis on collaboration in public health, there remains a dearth of literature providing tools for the evaluation of coalitions and councils. This study employed social network gap analysis as an evaluation tool. Survey data collected from the Southeastern Health Equity Council members were used to assess connections among members as a whole, by committee, by state, and by health specialty area. Analysis of how well Southeastern Health Equity Council met the representation outlined in its strategic plan was also conducted. Recommendations for improving the network and opportunities to effectively recruit and advance the work of Southeastern Health Equity Council are discussed.