ArticleMedical care2026
Diabetes Diagnosis Patterns in Medicaid: How State Policy, Managed Care, and Social Vulnerability Shape Detection in Medicaid.
Article in Medical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Medicaid Claims-Based Diabetes Self-Management Education and Support Utilization in Adults With Diabetes: Sociodemographic and Geographic Assessments.The science of diabetes self-management and care · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo describe patterns of type 2 diabetes diagnosis prevalence in Medicaid administrative data by individual and contextual factors.
methodsDiagnosed prevalence was estimated using the 2016-2021 Transformed Medicaid Statistical Information System (T-MSIS) and a Bayesian multilevel regression framework. The first level included patient characteristics (age, sex, and race/ethnicity), the Social Vulnerability Index (SVI), plan-level characteristics, payment models, and federal level of poverty (FLP) eligibility thresholds. The second level incorporates partial pooling over the state to model state fixed effects. Adults ages 21-64 years with 24+ months consecutive enrollment were included. States with a high degree of missing data were excluded.
resultsAmong 4.41 million eligible Medicaid beneficiaries in N=11 states with high-quality T-MSIS data, 10.3% had a type 2 diabetes diagnosis record. State-level diagnosed prevalence based on administrative data ranged from 6.5%-13.0%, and increased with age (4.1% for 21-35 vs. 23.9% for 55-64 y), was higher among "Other" race (14.3%), Hispanic (12.0%), and Black (10.9%) enrollees versus White (9.1%). Higher county-level obesity was associated with increased odds (third vs. first tertile OR 1.26, 95% CI: 1.25-1.27), while living in urban areas (OR 0.91, 95% CI: 0.90-0.91) and in the highest SVI quartile (OR 0.74, 95% CI: 0.73-0.75) with lower odds. Race interactions were most pronounced for contextual socioeconomic modifiers (SVI, FPL, and plan type).
conclusionsEvidence generated confirms that odds of having a recorded type 2 diabetes diagnosis are shaped by age, comorbidities, race/ethnicity, and social vulnerability. Notable variations by state and care plans were identified. Documentation and data improvements are needed.
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