NDPP Measurement
Overview
The NDPP Measurement reporting dashboard provides aggregate and detailed information to help identify a user’s attributed patients who are eligible to participate in the National Diabetes Prevention Program (NDPP). Available measurement was developed in collaboration with the Maine Centers for Disease Control and Prevention (Maine CDC) and the Office of MaineCare Services (OMS). For more information, visit the National Diabetes Prevention Program methodology section.
Additional resources from Maine CDC and OMS about NDPP efforts include:
Click the settings icon located in the upper-left corner of the dashboard to learn more about its available features and functionality.
Filters
Click the return icon located in the upper-left corner of the dashboard to return to the Insights dashboard to modify patient attribution and personal characteristic filter selections.
Filter | Description |
---|---|
Screening Result | The indication of whether the user’s attributed patients are recommended to have a screening for Pre-Diabetes and Type 2 Diabetes. Valid values include No (i.e., patients who are not recommended) and Yes (i.e., patients who are recommended). |
Eligibility Result | The indication of whether the user’s attributed patients are eligible for participation in the National Diabetes Prevention Program. Valid values include No (i.e., patients who are not eligible) and Yes (i.e., patients who are eligible). |
Risk Result | The result assigned to a user’s attributed patients that identifies their prospective predictive risk for developing Pre-Diabetes and Type 2 Diabetes. Valid values include:
Patients excluded from the measure will have a result of ‘N/A’. |
Patient ID | The participant-supplied identifier(s) that identifies a user’s attributed patients based on where they received care. An individual patient may have many participant-supplied identifiers if they have been treated at multiple care locations over time. Valid values are inclusive of Medical Record Number (MRN) values and other source system identifiers submitted via participants' Admission, Discharge, and Transfer (ADT) HL7 feeds, as well as Medicaid ID values (sometimes referred to as 'A' numbers) shared by the Office of MaineCare Services to uniquely identify its Medicaid members. Note: Regardless of how many Patient IDs that an individual patient may have, they will only have a single HIN ID assigned. |
Patient Name | The first and/or last names of a user’s attributed patients. |
Metrics
Neither (a) Patient ID and Patient Name filter selections or (b) patient linkages will impact metrics.
Metric | Description |
---|---|
Attributed Patients | The count of unique patients who are attributed to the selected Attribution Entity and who meet the criteria of the selected personal characteristics. For more information about the filters impacting this metric, visit the Insightsreporting dashboard’s filter section. |
Patients Recommended for Screening | The count of a user’s unique attributed patients who are recommended to have a screening for Pre-Diabetes and Type 2 Diabetes. For more information about the screening measure, visit the National Diabetes Prevention Program methodology section. |
Patients Eligible for NDPP | The count of a user’s unique attributed patients who are eligible for participation in the National Diabetes Prevention Program. For more information about the eligibility measure, visit the National Diabetes Prevention Program methodology section. |
Patients at Elevated Risk | The count of a user’s unique attributed patients who are at Moderate or greater risk (i.e., Total Points = 3+) for developing Pre-Diabetes and Type 2 Diabetes. For more information about the risk measure, visit the National Diabetes Prevention Program methodology section. |
Table
Table | Field | Description |
---|---|---|
Record of Measurement Information for Attributed Patients | HIN ID | The HealthInfoNet-assigned identifier that identifies a unique patient within the HIE’s data warehouse. Note: This field can be used to join patient records across all patient-level table exports. |
Patient Name | The first and last names of the user’s attributed patient. | |
Date of Birth | The date of birth of the user’s attributed patient. For more information, visit the Value-Add Field Logic methodology section. | |
Screening Result | The indication of whether the user’s attributed patient is recommended to have a screening for Pre-Diabetes and Type 2 Diabetes. Valid values include No (i.e., the patient is not recommended) and Yes (i.e., the patient is recommended). | |
Eligibility Result | The indication of whether the user’s attributed patient is eligible for participation in the National Diabetes Prevention Program. Valid values include No (i.e., the patient is not eligible) and Yes (i.e., the patient is eligible). | |
Risk Result | The result assigned to a user’s attributed patient that identifies their prospective predictive risk for developing Pre-Diabetes and Type 2 Diabetes. Valid values include:
Patients excluded from the measure will have a result of ‘N/A’. |
Table Linkages
Linkage | Target Dashboard | Target Outcome |
---|---|---|
View patient’s MaineCare medications | MaineCare Medications | Shows only the selected patient’s MaineCare medications. |
View patient’s address history | Address History | Shows only the selected patient’s address history information. |
View patient’s encounters | Encounter Detail | Shows only the selected patient’s encounter records. |
View patient’s performance measurement | Performance Measurement | Shows only the selected patient’s available performance measure results. |
View patient’s personal characteristics | Patient Detail | Shows only the selected patient’s demographics and personal characteristics. |
View patient’s predicted risks | Risk Detail | Shows only the selected patient’s risk results information. |
Support Options
For support questions, please contact HealthInfoNet’s Customer Care team (customercare@hinfonet.org).
For training needs, please contact HealthInfoNet’s Clinical Education team (clinicaleducation@hinfonet.org).