Opportunity Information: Apply for RFA DP 17 002
This grant opportunity, titled "Validation of survey questions to distinguish type 1 and type 2 diabetes among adults with diabetes" (RFA DP 17 002), comes from the U.S. Department of Health and Human Services through the Centers for Disease Control and Prevention (CDC) and is offered as a cooperative agreement. The core problem it targets is that many large surveys estimate adult type 1 diabetes prevalence using a fairly blunt set of self-reported markers, typically an early age at diagnosis (for example, under 30 or under 40) combined with starting insulin within a year of diagnosis. While practical for population surveys, that approach can systematically miss adults who develop type 1 diabetes later in life and can also incorrectly label some people with type 2 diabetes as type 1 if they happened to begin insulin soon after diagnosis. In other words, the current survey logic can undercount true adult-onset type 1 diabetes and overcount it by misclassifying insulin-treated type 2 diabetes, leading to distorted public health estimates and potentially misguided policy or program decisions.
The main goal of the project is to rigorously evaluate whether specific survey questions, or algorithms built from combinations of survey responses, can accurately distinguish type 1 from type 2 diabetes among adults aged 18 and older. The work is expected to be conducted in a representative sample of adult patients with diabetes drawn from an established diabetes patient registry or database, rather than a small convenience sample. A critical element is the use of a "gold standard" definition of diabetes type against which the survey-based classifications can be tested. With that reference in place, the project will quantify validity using standard diagnostic performance metrics, particularly sensitivity (how well the survey algorithm correctly identifies true type 1 cases), specificity (how well it correctly excludes type 1 among those who are actually type 2), and positive predictive value (the proportion of those classified as type 1 by the survey algorithm who truly have type 1). Importantly, the CDC is looking for these performance measures to be examined across key demographic strata such as age, sex, and race, recognizing that misclassification patterns can vary across populations and that a one-size-fits-all rule may not perform equally well for everyone.
A secondary goal extends the validation work into electronic health record (EHR) environments by validating definitions of diabetes type using EHR data. This reflects a practical public health need: beyond improving survey questions, agencies and health systems increasingly rely on EHR-derived case definitions for surveillance, research, and quality improvement. Validating EHR-based definitions can help align clinical data sources with survey-based surveillance and improve consistency in how diabetes type is identified across different datasets.
From an administrative standpoint, the opportunity is a discretionary funding announcement under the health activity category and is associated with CFDA number 93.068. Eligibility is broad and includes multiple levels of government (state, county, city/township, special districts), public and private institutions of higher education, tribal governments and tribal organizations, public housing authorities/Indian housing authorities, nonprofits with and without 501(c)(3) status (excluding those that are institutions of higher education in the nonprofit category distinction), for-profit organizations other than small businesses, and small businesses. The announcement was created on December 20, 2016, with an original closing date of February 21, 2017, and required electronic submission by 5:00 p.m. Eastern Time on the due date. Funding was structured with an award ceiling of $500,000 and an expectation of one award, indicating a single, relatively substantial project intended to produce a robust validation study rather than multiple smaller pilot efforts.
Overall, this funding opportunity is aimed at improving the accuracy of adult type 1 diabetes surveillance by moving beyond simplistic survey proxies and replacing them with validated questions or classification algorithms that hold up against a gold standard and perform reliably across demographic groups, while also strengthening how diabetes type is defined and identified in EHR-based data sources.Apply for RFA DP 17 002
- The Department of Health and Human Services, Centers for Disease Control and Prevention - ERA in the health sector is offering a public funding opportunity titled "Validation of survey questions to distinguish type 1 and type 2 diabetes among adults with diabetes" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.068.
- This funding opportunity was created on Dec 20, 2016.
- Applicants must submit their applications by Feb 21, 2017 Electronically submitted applications must be submitted no later than 500 p.m., ET, on the listed application due date.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For profit organizations other than small businesses, Small businesses.
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