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Improving Diabetes Outcomes in Medicaid

Diabetologist doctor testing blood sample on blood sugar meter in diabetes clinic. Doctor holding glucometer with test strip, waiting for results. Paediatric diabetes in teenage girl, young woman.
Identifying evidence-based services that prevent costly hospitalizations for type 2 diabetes
  • Client
    The Blue Cross Blue Shield Association
  • Dates
    October 2024 – December 2025

Problem

Preventable hospitalizations are common among Medicaid-enrolled adults with type 2 diabetes, yet health plans lack evidence on what reduces them.

Type 2 diabetes affects millions of Medicaid enrollees and drives substantial health care costs, particularly through preventable hospitalizations for complications like diabetic ketoacidosis, severe hypoglycemia, and infections. While clinical guidelines outline standards of care, health plans have limited evidence about which services—from medication to behavioral supports—reduce these costly acute events in real-world Medicaid populations. Additionally, Medicaid enrollees receive care through either managed care organizations or traditional fee-for-service arrangements, yet little research compares outcomes across the two.

The Blue Cross Blue Shield Association (BCBSA) needed an analysis of national Medicaid data to identify which service combinations are associated with fewer hospitalizations and how outcomes vary across delivery systems.

Solution

NORC analyzed national Medicaid claims to identify which services were associated with fewer preventable hospitalizations and how delivery systems compared.

NORC conducted analyses of Transformed Medicaid Statistical Information System (T-MSIS) data from calendar years 2021-2023 for all states and the District of Columbia. The study examined adult Medicaid enrollees aged 18-64 with type 2 diabetes, comparing service use and outcomes across managed care and fee-for-service delivery systems.

The methodological challenge was identifying which services are associated with better outcomes while accounting for factors that influence both service access and those outcomes. NORC grouped services into categories aligned with the American Diabetes Association’s Standards of Care, including blood glucose, foot, and eye screenings; traditional antidiabetics; GLP-1s; behavioral and lifestyle supports such as diabetes self-management education; and specialist visits. The team tracked these services over 12 months in a cohort of Medicaid enrollees with diabetes.

We then measured outcomes over the following six months, including all-cause inpatient admissions, emergency department visits, and diabetes-related potentially avoidable inpatient admissions (Prevention Quality Indicators, or PQIs). By measuring services first and then measuring outcomes, we could assess whether earlier services related to later health events. In a subsequent six-month period, to determine if prior utilization of different services and treatments influenced the outcomes of interest. To ensure reliable findings across state Medicaid programs, NORC applied risk adjustment to control for age, demographics, geography, comorbidities, and delivery system type.

Result

Behavioral supports, routine blood sugar testing, and GLP-1s were individually and collectively associated with fewer avoidable hospitalizations. 

Our analyses found that behavioral and lifestyle supports, regular blood glucose screening (HbA1c), and the use of GLP-1s were significantly associated with lower odds of diabetes-related potentially avoidable inpatient admissions. Notably, the analyses also revealed that Medicaid managed-care enrollees were less likely than fee-for-service enrollees to experience diabetes-related potentially avoidable admissions. However, the research also identified a gap: overall uptake of these services remains low across both delivery systems, suggesting room for improvement.

NORC produced a methodology memorandum and chartbook to translate these findings into strategies for BCBSA member plans. We outlined specific approaches member plans can implement or pursue in partnership with states and providers, such as integrating diabetes self-management education into care management programs, leveraging data to identify at-risk members, and partnering with community organizations for culturally tailored supports.

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