# Rapid Optimization of COVID-19 Testing for People Affected by Diabetes

> **NIH NIH P30** · EMORY UNIVERSITY · 2020 · $3,786,234

## Abstract

PROJECT SUMMARY/ABSTRACT
The Georgia Center for Diabetes Translation Research (P30DK111024) proposes to leverage its interdisciplinary
expertise (clinicians, implementation and behavioral scientists, public health, technology, and diabetes experts)
and collaborations (community, academic, government, and health system partners) to rapidly scale a COVID-19
testing program for adults and children who are at high risk due to background metabolic disease (i.e., diabetes,
obesity, or elevated risk of diabetes). The “Rapid Optimization of COVID-19 Testing for People Affected by
Diabetes” program will adapt, optimize, and iteratively evaluate and refine a testing and education strategy
delivered through our network of Federally-Qualified Health Center (FQHC) partners. We focus on Georgia, a
national epicenter of diabetes, which is experiencing rapidly escalating COVID-19 cases, morbidity, and mortality.
Yet, the state has not accelerated testing opportunities, leaving critically underserved subgroups at high-risk
without access to testing. Building on technologies and innovations designed by this team, we will address
access gaps, optimize resource allocation to meet high risk groups where it suits them best, and support people
at the time of and after their test results. Guided by the EPIS framework, our implementation program will learn
how to scale the strategy, combining approaches to reach high-risk groups through testing enhancement at
FQHC partner sites and other community testing centers with a “test your bubble” approach to provide
opportunities for all household members to get tested. To achieve this, we will conduct geospatial analyses to
identify localities of “testing deserts” within counties with high densities of people at risk for COVID-19 infection,
hospitalization, and mortality (Aim 1; Exploration); engage community and clinic stakeholders to formatively
understand what barriers and facilitators influence testing and what strategies are well-received by users (Aim 2;
Preparation); develop models that provide real-time guidance on whom to test, where to test, and when to test
(Aim 3; Preparation); and deploy and evaluate the program at testing site partners using rapid-cycle testing in a
pre-post effectiveness-implementation type 2 hybrid study (Aim 4; Implementation). Sustainability will be
measured through continuous quality improvement efforts (Aims 2, 4) and future research. Data from this study
will motivate further programs and studies of how to scale serological testing and vaccination (in the future) and
has huge relevance for underserved areas of other states. We will evaluate this program in terms of its reach,
effectiveness, adoption, implementation, and maintenance (REAIM). We have extensive experience applying
these transformative innovations to reach populations. We will leverage partnerships with the Georgia
Department of Public Health, nationally-recognized expertise via the NIH-funded Rapid Acceleration of
Diagnostics ...

## Key facts

- **NIH application ID:** 10233430
- **Project number:** 3P30DK111024-05S1
- **Recipient organization:** EMORY UNIVERSITY
- **Principal Investigator:** Kabayam M Venkat Narayan
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $3,786,234
- **Award type:** 3
- **Project period:** 2020-09-21 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10233430

## Citation

> US National Institutes of Health, RePORTER application 10233430, Rapid Optimization of COVID-19 Testing for People Affected by Diabetes (3P30DK111024-05S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10233430. Licensed CC0.

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