National Diabetes Prevention Program
Overview
The National Diabetes Prevention Program (NDPP) is a partnership of public and private organizations working to address the increasing burden of Pre-Diabetes and Type 2 Diabetes throughout the country. With support from the U.S. Centers for Disease Control and Prevention (U.S. CDC) and the National Association of Chronic Disease Directors (NACDD), the Maine Department of Health and Human Services (Maine DHHS), led by the Maine CDC, has applied a partner engagement model in the state focused on reducing the risk of Type 2 Diabetes among Mainers by increasing enrollment in CDC-recognized lifestyle change programs.
HealthInfoNet serves as one of the Maine CDC’s partners offering services to help increase clinical screening, testing, and referral efforts of people at highest risk for Type 2 Diabetes – especially those individuals enrolled in MaineCare (Medicaid). Using the HIE’s statewide clinical data set, HealthInfoNet is now generating the following measures on a daily basis in support of Maine’s DPP efforts:
Screening Recommendation for Pre-Diabetes and Type 2 Diabetes
Screened and Eligible for National DPP Participation
Risk for Developing Pre-Diabetes and Type 2 Diabetes
The following sections provide detailed specifications for each of these measures.
For questions about the NDPP measure specifications, please contact the Maine CDC at askdiabetes.cdc@maine.gov.
Screening Recommendation for Pre-Diabetes and Type 2 Diabetes
Specification | Description |
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Measure Steward | Maine Centers for Disease Control and Prevention (Maine CDC) |
Measure Frequency | Daily |
Measure Description | Patients 35 years of age or older as of the measurement date with a most recent BMI value of ≥ 25 kg/m2* and with at least one of the following criteria within the last 3 years as of the measurement date:
*If Race of Asian then BMI value of ≥ 23 kg/m2; if Race of Unknown, then BMI value of ≥ 25 kg/m2. |
Measure Exclusions | Exclude patients with at least one of the following criteria:
|
Additional Notes | Anti-psychotic medications used in the generation of this measure are retrieved from the Surescripts pharmacy claims repository. Important notes pertaining to the limitations of this data source include the following:
For these reasons, not all patients actively prescribed an anti-psychotic medication may be identified in the data source; and, At this time, the MaineCare pharmacy claims repository is not used as a supplemental data source to identify anti-psychotic medications. |
Screened and Eligible for NDPP Participation
Specification | Description |
---|---|
Measure Steward | Maine Centers for Disease Control and Prevention (Maine CDC) |
Measure Frequency | Daily |
Measure Description | Patients 18 years of age or older as of the measurement date with a most recent BMI value of ≥ 25 kg/m2* within the last 3 years as of the measurement date and with at least one of the following criteria :
*If Race of Asian then BMI value of ≥ 23 kg/m2; if Race of Unknown, then BMI value of ≥ 25 kg/m2. |
Measure Exclusions | Exclude patients with at least one of the following criteria:
|
Risk for Developing Pre-Diabetes and Type 2 Diabetes
Specification | Description |
---|---|
Measure Steward | Maine Centers for Disease Control and Prevention (Maine CDC) |
Measure Frequency | Daily |
Measure Description | Patients' risk for developing Pre-Diabetes and Type 2 Diabetes based on calculating the following criteria:
|
Measure Exclusions | Exclude patients with at least one of the following criteria:
|
Risk Calculation | Patients' risk can be interpreted based on the following translation:
Patients excluded from the measure will have a result of ‘N/A’. |
Frequently Asked Questions
Question | Answer |
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How does the Risk for Developing Pre-Diabetes & Type 2 Diabetes NDPP risk measure methodology differ from the Type 2 Diabetes predictive risk model? | Whereas the Risk for Developing Pre-Diabetes & Type 2 Diabetes measure is calculated based on a custom specification developed in collaboration with the Maine Centers for Disease Control and Prevention (Maine CDC) in support of the National Diabetes Prevention Program (NDPP), the Type 2 Diabetes predictive risk model is a measure calculated based on a proprietary machine learning algorithm developed by HealthInfoNet and its partners. Furthermore, the NDPP measure is calculating risk for developing Pre-Diabetes and Type 2 Diabetes, whereas the predictive risk model is calculating risk for for developing Type 2 Diabetes only. For more information about the Hypertension predictive risk model, download the Technical Appendix from the Predictive Risk Modeling section. |
How does an elevated Risk measure result relate to the Screening Recommendation and/or Eligibility measures? | Based on the current measure specifications, users should not infer that patients with an elevated risk result for developing Pre-Diabetes and Type 2 Diabetes are also recommended for Pre-Diabetes and Type 2 Diabetes screenings and/or eligible for NDPP participation. For example, patients may have an elevated risk result based on a combination of their age and sex alone (e.g., all males over the age of 60 years are at High risk). |