Objective: Disease state management (DSM) programs are recommended for patients with conditions such as diabetes, hypertension, and hyperlipidemia. However, the level of adoption of these programs is not known. The objective of this study is to determine the level of utilization of DSM programs in the United States. Methods: Data from the National Ambulatory Medical Care Survey (NAMCS), which includes a nationally representative sample of outpatient physician office visits, was used to meet the study objectives. In year 2005, NAMCS included an additional item regarding enrollment in DSM programs. Patients with diabetes, hypertension, or hyperlipidemia were identified and estimates for enrollment in DSM programs were computed. Logistic regression analysis was used to identify predictors of enrollment in such programs. Sample weights and the complex sampling design of the NAMCS were accounted in all the analyses. Results: The final study sample included 3,884 patient visits. Patients with diabetes had the highest rate of enrollment (24.6%), followed by patients with hyperlipidemia (20.4%) and hypertension (19.5%). Insurance status was an important predictor of enrollment status with patients enrolled in Medicare [Odds Ratio (OR)=1.68;p=0.021] and Medicaid (OR=2.13;p=0.008) significantly more likely to be enrolled in a DSM program as compared to those without insurance. Patients of Hispanic ethnicity were 67% less likely to be enrolled in a DSM program (OR=0.33;p<0.001). The only co-morbid condition that was a significant predictor of enrollment status was depression. Patients with co-morbid depression were 1.87 times more likely to be enrolled as compared to those without depression (OR=1.87;p=0.004). Conclusion: Although the benefits of DSM programs have been documented, their adoption rate remains extremely low. This study indicates that Hispanic ethnicity, insurance status and co-morbid depression were predictors of enrollment status. Additional studies are needed to identify other predictors and to tailor interventions to increase the adoption of such programs.