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Updated: Jul 13, 2026
06:46
A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
The Diabetes Detection Initiative: a pilot program of selective screening
Andrew Lanza1, Ann Albright, Howard Zucker
1McKing Consulting Corporation, Centers for Disease Control and Prevention, Division of Partnerships and Strategic Alliances, Atlanta, GA 30333, USA. alanza@cdc.gov
American Journal of Health Behavior
|August 19, 2007
Summary
This study improved screening for undiagnosed type 2 diabetes by using social marketing to tailor risk assessments. This led to a significant increase in newly detected diabetes cases in pilot communities.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Undiagnosed type 2 diabetes remains a significant public health challenge.
- Effective screening strategies are crucial for early detection and intervention.
- Current screening methods may not adequately reach all at-risk populations.
Purpose of the Study:
- To identify adults with potential undiagnosed type 2 diabetes.
- To develop and evaluate a community-centered screening approach.
- To improve the identification of individuals with undiagnosed type 2 diabetes.
Main Methods:
- Social marketing principles were employed to understand community characteristics and preferences.
- Tailored risk assessment tools were developed based on identified preferences.
- Quantitative data from clinic registries and qualitative data from clinics were collected for evaluation.
Main Results:
- The number of newly detected diabetes cases increased by an average of 11.5 cases per month across 8 registry clinics.
- Data from the baseline and intervention periods demonstrated a positive impact on case detection.
- Community engagement through tailored risk assessments facilitated increased screening.
Conclusions:
- The study successfully advanced understanding of diabetes screening methodologies.
- Tailoring screening approaches to community preferences enhances the identification of undiagnosed type 2 diabetes.
- The findings provide valuable insights for improving public health interventions for diabetes detection.
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