# Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults

> **NIH ALLCDC U18** · INDIANA UNIVERSITY INDIANAPOLIS · 2020 · $248,614

## Abstract

Project Summary
Accurate, local information about population health and health related behaviors derived from electronic health
records may support the development of effective public health programs and policies. Ideally, public health
decision-makers would have up to date, comprehensive, representative information about the population they
serve. Unfortunately, commonly used data sources for community assessment fall short of this. Recent
advances in the adoption of electronic health records make it possible for public health to potentially access
more timely and accurate data. However, it remains unclear whether newer sources of data will enable
improved assessment of population health. In this project, a multidisciplinary team at Indiana University, the
Regenstrief Institute, and the Marion County Public Health Department will use integrated, representative
electronic health data to generate estimates of Type 1 and Type 2 diabetes by diabetes type, age, sex,
race/ethnicity and geographic area at state and county levels. These estimates will be evaluated for reliability
and validity. The estimates will further be shared with local and state public health officials for use in
addressing diabetes burden in the region.

## Key facts

- **NIH application ID:** 10085512
- **Project number:** 1U18DP006500-01
- **Recipient organization:** INDIANA UNIVERSITY INDIANAPOLIS
- **Principal Investigator:** Brian E. Dixon
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2020
- **Award amount:** $248,614
- **Award type:** 1
- **Project period:** 2020-09-30 → 2025-09-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10085512

## Citation

> US National Institutes of Health, RePORTER application 10085512, Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults (1U18DP006500-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10085512. Licensed CC0.

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