Skip to main content
Journal cover image

Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes.

Publication ,  Journal Article
German, JC; Stirling, A; Gorgone, P; Brucker, AR; Huang, A; Dash, S; Halpern, DJ; Bhavsar, NA; McPeek Hinz, ER; Shannon, RP; Spratt, SE; Goldstein, BA
Published in: J Clin Transl Sci
2024

OBJECTIVE: Type 2 diabetes (T2DM) poses a significant public health challenge, with pronounced disparities in control and outcomes. Social determinants of health (SDoH) significantly contribute to these disparities, affecting healthcare access, neighborhood environments, and social context. We discuss the design, development, and use of an innovative web-based application integrating real-world data (electronic health record and geospatial files), to enhance comprehension of the impact of SDoH on T2 DM health disparities. METHODS: We identified a patient cohort with diabetes from the institutional Diabetes Registry (N = 67,699) within the Duke University Health System. Patient-level information (demographics, comorbidities, service utilization, laboratory results, and medications) was extracted to Tableau. Neighborhood-level socioeconomic status was assessed via the Area Deprivation Index (ADI), and geospatial files incorporated additional data related to points of interest (i.e., parks/green space). Interactive Tableau dashboards were developed to understand risk and contextual factors affecting diabetes management at the individual, group, neighborhood, and population levels. RESULTS: The Tableau-powered digital health tool offers dynamic visualizations, identifying T2DM-related disparities. The dashboard allows for the exploration of contextual factors affecting diabetes management (e.g., food insecurity, built environment) and possesses capabilities to generate targeted patient lists for personalized diabetes care planning. CONCLUSION: As part of a broader health equity initiative, this application meets the needs of a diverse range of users. The interactive dashboard, incorporating clinical, sociodemographic, and environmental factors, enhances understanding at various levels and facilitates targeted interventions to address disparities in diabetes care and outcomes. Ultimately, this transformative approach aims to manage SDoH and improve patient care.

Duke Scholars

Published In

J Clin Transl Sci

DOI

EISSN

2059-8661

Publication Date

2024

Volume

8

Issue

1

Start / End Page

e102

Location

England
 

Citation

APA
Chicago
ICMJE
MLA
NLM
German, J. C., Stirling, A., Gorgone, P., Brucker, A. R., Huang, A., Dash, S., … Goldstein, B. A. (2024). Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes. J Clin Transl Sci, 8(1), e102. https://doi.org/10.1017/cts.2024.542
German, Jashalynn C., Andrew Stirling, Patti Gorgone, Amanda R. Brucker, Angel Huang, Shwetha Dash, David J. Halpern, et al. “Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes.J Clin Transl Sci 8, no. 1 (2024): e102. https://doi.org/10.1017/cts.2024.542.
German JC, Stirling A, Gorgone P, Brucker AR, Huang A, Dash S, et al. Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes. J Clin Transl Sci. 2024;8(1):e102.
German, Jashalynn C., et al. “Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes.J Clin Transl Sci, vol. 8, no. 1, 2024, p. e102. Pubmed, doi:10.1017/cts.2024.542.
German JC, Stirling A, Gorgone P, Brucker AR, Huang A, Dash S, Halpern DJ, Bhavsar NA, McPeek Hinz ER, Shannon RP, Spratt SE, Goldstein BA. Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes. J Clin Transl Sci. 2024;8(1):e102.
Journal cover image

Published In

J Clin Transl Sci

DOI

EISSN

2059-8661

Publication Date

2024

Volume

8

Issue

1

Start / End Page

e102

Location

England