Using a Novel Socioeconomic and Health Indicator Visualization Tool to Improve Minority Health

Author(s)

Mehta N1, Assenov A2, Ogletree AM2, Farhat T2
1Brown University, Providence, RI, USA, 2National Institutes of Health, Bethesda, MD, USA

Presentation Documents

OBJECTIVES: While population level socioeconomic data are widely available, resources to explore and visualize these data may exclude important health determinants and outcomes. Further, lack of specialized statistical knowledge may hamper identification of health disparities. The goal of this study was to use a novel data visualization platform, HDPulse, to explore the relationship between disparities in poverty level and disparities in kidney disease-related mortality.

METHODS: HDPulse integrates national, state, and county-level population data from multiple sources in a single platform, allowing users to stratify health-related outcomes by several sociodemographic measures (sex, age, race/ethnicity), examine health determinants along a social-ecological framework, and statistically measure the extent of health disparities between groups using rate ratios. We used HDPulse to identify disparities in kidney disease-related mortality in Texas counties between Hispanic/Latino and White individuals and explore their association with disparities in poverty level. We used rate ratios to assess disparities in the prevalence of kidney disease-related mortality for Hispanic/Latino individuals compared to Whites. We calculated ratios for the proportion of Hispanic/Latino families living in poverty as compared to the proportion of all races living in poverty. We correlated rate ratios for kidney disease-related mortality with rate ratios for the proportion of families living in poverty.

RESULTS: Counties with great disparities in the proportion of Hispanic/Latino residents living in poverty as compared to all racial groups also had greater disparities in the relative risk of dying due to kidney disease for Hispanic/Latino individuals as compared to White individuals.

CONCLUSIONS: Resources like HDPulse facilitate research on health disparities by integrating population data on health determinants and outcomes into a single platform that is user-friendly and helps quantify disparities using statistical measures. Visualization capabilities allow users to identify disparities between groups at the county level, which can help target interventions needed to reduce disparities.

Conference/Value in Health Info

2023-05, ISPOR 2023, Boston, MA, USA

Value in Health, Volume 26, Issue 6, S2 (June 2023)

Code

RWD63

Topic

Real World Data & Information Systems

Topic Subcategory

Reproducibility & Replicability

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×