Validation of survey questions to distinguish type 1 and type 2 diabetes among adults with diabetes
Closed Posted
- Opportunity number
- RFA-DP-17-002
- Agency
-
Centers for Disease Control and Prevention
Department of Health and Human Services
- Applications due
- Award size
- Not on record
Opportunity facts
- Assistance listings
- Funding instrument
- Cooperative Agreement
- Category
-
- Health
- Eligible applicants
-
- County Governments
- Higher Education Inst. (Private)
- Higher Education Inst. (Public)
- Small Businesses
- For Profit Organizations
- Special District Governments
- Independent School Districts
- City/Township Governments
- 501(c)(3) Nonprofits
- Public or Indian Housing Auth.
- Tribal Governments (Federally Recognized)
- Non-501(c)(3) Nonprofits
- Tribal Organizations (Not Federally Recognized)
- State Governments
Opportunity details come from Grants.gov. Updated .
Synopsis
Most survey-based prevalence estimates of type 1 diabetes among adults have been based on self-reported information about a young age at diagnosis (e.g., <30 years and <40 years) and insulin use within a year of diagnosis. However, this estimation approach misses type 1 diabetes in adults with older age of onset and may misclassify some cases of type 2 diabetes as type 1 if insulin use begins soon after diagnosis. The major goal of this project is to evaluate the validity of survey questions (or algorithms based on them) to distinguish between adults (aged ≥18 years of age) with type 1 and type 2 diabetes in a representative sample of adult diabetic patients in a diabetes patient registry or database. Using a gold standard, validity will be assessed by examining the sensitivity, specificity, and positive predictive value of algorithms to identify type of diabetes across demographic strata such as age, sex, and race. A secondary goal is to validate definitions of type of diabetes using electronic health records.
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