Medicaid MCOs → Delivery → Screening & Identification
Screening & Identification
States and Medicaid managed care organizations (MCOs) can identify prospective participants for the National Diabetes Prevention Program (National DPP) lifestyle change program based on participant eligibility criteria.
To be eligible for referral to a CDC-recognized lifestyle change program, patients must meet the following requirements:
- Be at least 18 years old, and
- Be overweight (body mass index ≥25; ≥23 if Asian), and
- Have no previous diagnosis of type 1 or type 2 diabetes, and
- Have a blood test result in the prediabetes range within the past year:
- Hemoglobin A1C: 5.7%–6.4%, or
- Fasting plasma glucose: 100–125 mg/dL, or
- Two-hour plasma glucose (after a 75 gm glucose load): 140–199 mg/dL, or
- Be previously diagnosed with gestational diabetes, or
- Score 5 or higher on the CDC/ADA Prediabetes Risk Test
Note: Studies of type 2 diabetes prevention lifestyle programs have not included children; these programs are intended for adults at high risk for developing type 2 diabetes. Lifestyle programs for type 2 diabetes prevention emphasize weight loss and are not appropriate for women who are currently pregnant. Participants who become pregnant may continue at the discretion of the lifestyle program provider.
To be eligible for the National DPP lifestyle change program, individuals must have one of the blood test results described above, be previously diagnosed with gestational diabetes, or score 5 or higher on the CDC/ADA Prediabetes Risk Test. The CDC Diabetes Prevention Recognition Program (DPRP) standards require that at least 35% of a program’s participants be diagnosed with prediabetes through blood testing (or have a history of gestational diabetes). The remaining participants in the group can be considered eligible for the program based on their scores on the CDC/ADA Prediabetes Risk Test. The CDC/ADA Prediabetes Risk Test is a brief seven question survey that allows one to gauge their risk of having prediabetes. Regularly scheduled biometric screenings may be an opportunity to determine if an individual is eligible.
Medical Claims or Electronic Health Records
States and their MCOs have leveraged electronic health record data (EHR) and/or medical claims data to proactively identify individuals who are, or may be, eligible for the program. For instance:
- Maryland uses ICD-10 codes from claims data to identify individuals who fit the eligibility criteria. The codes are able to flag individuals who, for example, individuals who are overweight or obese, who have elevated glucose levels, or have a history of gestational diabetes. See the table below for a list of codes that can be used in this type of search.
- Denver Health and Hospital Authority (Denver Health) developed a patient registry based on EHR data. That registry included individuals at risk for type 2 diabetes based on program eligibility criteria. The registry was then used to conduct targeted recruitment and referral efforts. Denver Health is a Colorado-based safety net health system; nearly half of its National DPP lifestyle change program participants had Medicaid coverage. The participants were highly diverse, and the average participant age was 50.
Suggestions from the American Medical Association (AMA) on how health care providers can use their EHR for screening and identification of potential participants for the National DPP lifestyle change program can be found here.
Querying a Medical Claim or EHR
There are several billing and procedure codes that could be pulled from a medical claims database or EHR to identify potentially eligible individuals. For example, a query could be set up to pull information required for program eligibility. In instances where a specific lab value is required for inclusion, the actual lab value should be pulled. The program eligibility criteria for the National DPP lifestyle change program are listed below, with potential codes and other query-able elements listed in the columns to the right of each criteria. The presence of an x at the end of the code indicates there are multiple code modifiers or options for each of those codes.
A description of many of these codes, as well as applicable office visit or procedure codes, can be found on the AMA’s list of codes to use when screening for prediabetes and diabetes. While the ICD-10 and CPT codes should be consistent across facilities, how databases are structured and queried is likely to vary. It is important to engage a database expert within your organization early in this process to understand how best to refine your query.
Once this data is collected, it could then be stratified to determine which individuals are at the highest risk of developing diabetes and could most benefit from this program. Below is an example risk stratification which could be used to assess potential participants and how broadly or narrow a plan may want to extend access to the program.
Tracking Progress Through Claims
A subject’s participation in the program can also be tracked by following the submission of claims as they are received. This provides information on whether or not the participants are both attending and meeting milestones in the program.
For more information on coding for the National DPP lifestyle change program in a claims system, see the Coding section.
Identification by Providers
In other states and implementations, providers have been trained to assist in identifying individuals at risk for type 2 diabetes.
The Minnesota Department of Health, in concert with its partners, enacted the following identification strategies:
- Trained and supported clinic physicians and other providers to identify Medicaid patients at risk and refer them to the program
- Trained and supported clinic support staff such as laboratory personnel, medical assistants, and community health workers to identify potentially eligible participants
The YMCA of the USA implemented the National DPP lifestyle change program with Medicare beneficiaries, through support from the Centers for Medicare and Medicaid Innovation’s Health Care Innovation Awards, and reported using the following identification strategies:
- Engaged health systems in mining medical records for candidates
- Looked within the YMCA membership for potential candidates
Content Last Updated: July 13, 2020