iabetes imposes a substantial economic burden to society with the total annual cost estimated to be $132 billion in medical expenditures and lost productivity.1 Diabetesrelated hospitalizations totaled 16.9 million days and represented 44% of the $92 billion in direct medical expenditures attributable to diabetes. Ramsey et al. reported that, in 1998, an employer' s mean annual per capita costs (direct medical plus medically related absenteeism costs) were significantly higher for diabetes beneficiaries than for control subjects, with an incremental cost of $4,410 per year.2 With the prevalence of diabetes increasing with age and in certain racial and ethnic populations, timely access to preventive care, diagnosis, and treatment is critical to improving the quality of life for individuals with diabetes.Improving glycemic control is paramount to preventing or minimizing diabetes-related complications that negatively impact morbidity and mortality. Previous studies have demonstrated that tight glycemic control is associated with increased clinical benefit and decreased economic burden. [3][4][5] In the United Kingdom Prospective Diabetes Study of newly diagnosed type 2 diabetes patients, it was found that every percentage point decrease in glycosylated hemoglobin (HbA1c) reduced the risk ABSTRACT OBJECTIVE: To compare medical and pharmacy costs and utilization between patients with diabetes who received insulin lispro versus regular human insulin.METHODS: A retrospective analysis of medical and pharmacy claims was conducted among continuously enrolled users of insulin lispro or regular insulin during the identification period, March 1, 2000, through February 28, 2001, within a large managed care organization. This study improved upon the methodology used in previous studies by (a) stratifying (rather than 1:1 matching) individuals by their likelihood to use insulin lispro using the propensity score binning technique, and (b) refining the study inclusion criteria to include only patients with 3 or more fills of the insulin under study (lispro or regular) to exclude individuals who may have been on either product for a short time. Because the propensity score binning technique groups patients with similar baseline characteristics within strata (bins) and not among individual patients, almost the entire available sample is retained in the analysis, unlike propensity score matching, where large numbers of patients can be excluded depending on the matching scheme. Therefore, the propensity score binning technique, because it uses more complete information, is less likely to produce biased results. Patients were grouped into 5 bins (quintiles) based on their estimated likelihood to receive insulin lispro rather than regular insulin. The propensity score model used baseline characteristics of age, gender, comorbidities, use of oral antidiabetic medications, prescription copayment, and diabetes-related costs and utilization. Overall cost and utilization differences (lispro minus regular insulin) during the 12-month follow...