Related Experiment Video
Updated: Feb 19, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Medicare utilization, screening, and costs among participants in the Southeastern Diabetes Initiative: A
Courtney H Van Houtven1, Melissa A Greiner2, Brooke Heidenfelder3
1Health Services Research and Development Service, Durham VA Medical Center, Durham, NC, United States; Department of Population Health Sciences, Duke University School of Medicine, United States.
Aims:
Type 2 diabetes mellitus imposes significant burdens on patients and health care systems. Population-level interventions are being implemented to reach large numbers of patients at risk of or diagnosed with diabetes. We describe a population-based evaluation of the Southeastern Diabetes Initiative (SEDI) from the perspective of a payer, the Centers for Medicare & Medicaid Services (CMS). The purpose of this paper is to describe the population-based evaluation approach of the SEDI intervention from a Medicare utilization and cost perspective.
Methods:
We measured associations between the SEDI intervention and receipt of diabetes screening (i.e., HbA1c test, eye exam, lipid profile), health care resource use, and costs among intervention enrollees, compared with a control cohort of Medicare beneficiaries in geographically adjacent counties.
Results:
The intervention cohort had slightly lower 1-year screening in 2 of 3 domains (4% for HbA1c; 9% for lipid profiles) in the post-intervention period, compared with the control cohort. The SEDI intervention cohort did not have different Medicare utilization or total Medicare costs in the post-intervention period from surrounding control counties.
Conclusions:
Our analytic approach may be useful to others evaluating CMS demonstration projects in which population-level health is targeted for improvement in a well-defined clinical population.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Related Concept Videos
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Methods of Documentation III: PIE
Integrated Healthcare System