Health Outcomes Research in Medicine
Volume 1, Issue 1 , Pages e61-e66 , July 2010

The Effect of the Vermont Diabetes Information System on Inpatient and Emergency Department Use: Results from a Randomized Trial

  • Shamima Khan, MBA, PhD

      Affiliations

    • Department of Pharmacy Administration and Allied Health Sciences, College of Pharmacy and Allied Health Professions, St. John’s University, Jamaica, New York
    • Corresponding Author InformationCorresponding Author: Shamima Khan, MBA, PhD, Department of Pharmacy Administration and Allied Health Sciences, College of Pharmacy and Allied Health Professions, St. Albert’s Hall, Room 108, St. John’s University, Jamaica, NY.
    • ,
  • Charles D. MacLean, MDCM

      Affiliations

    • Division of General Internal Medicine, University of Vermont, Burlington, Vermont
    • ,
  • Benjamin Littenberg, MD

      Affiliations

    • Division of General Internal Medicine, University of Vermont, Burlington, Vermont

References 

  1. American Diabetes Association . Economic costs of diabetes in the U.S. in 2007. Diabetes Care. 2008;31(3):596–615
  2. Saaddine JB, Cadwell B, Gregg EW, et al. Improvements in diabetes processes of care and intermediate outcomes: United States, 1988-2002. Ann Intern Med. 2006;144(7):465–474
  3. Littenberg B, MacLean CD, Zygarowski K, Drapola BH, Duncan JA, Frank CR. The Vermedx Diabetes Information System reduces healthcare utilization. Am J Manag Care. 2009;15(3):166–170
  4. MacLean CD, Littenberg B, Gagnon M. Diabetes decision support: initial experience with the Vermont diabetes information system. Am J Public Health. 2006;96(4):593–595
  5. MacLean CD, Littenberg B, Gagnon M, Reardon M, Turner PD, Jordan C. The Vermont Diabetes Information System (VDIS): study design and subject recruitment for a cluster randomized trial of a decision support system in a regional sample of primary care practices. Clin Trials. 2004;1(6):532–544
  6. MacLean CD, Gagnon M, Callas P, Littenberg B. The Vermont Diabetes Information System: a cluster randomized trial of a population based decision support system. J Gen Intern Med. 2009;24(12):1303–1310
  7. Littenberg B, MacLean CD. Passive consent for clinical research in the age of HIPAA. J Gen Intern Med. 2006;21(3):207–211
  8. Renders CM, Valk GD, Griffin SJ, Wagner EH, Eijk Van JT, Assendelft WJ. Interventions to improve the management of diabetes in primary care, outpatient, and community settings: a systematic review. Diabetes Care. 2001;24(10):1821–1833
  9. Bu D, Pan E, Walker J, et al. Benefits of information technology-enabled diabetes management. Diabetes Care. 2007;30(5):1137–1142
  10. Dorr D, Bonner LM, Cohen AN, et al. Informatics systems to promote improved care for chronic illness: a literature review. J Am Med Inform Assoc. 2007;14(2):156–163
  11. Wyne K. Information technology for the treatment of diabetes: improving outcomes and controlling costs. J Manag Care Pharm. 2008;14(2 Suppl):S12–S17
  12. Young AS, Chaney E, Shoai R, et al. Information technology to support improved care for chronic illness. J Gen Intern Med. 2007;22(Suppl 3):425–430

 Funded by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK61167 and K24 DK068380).

 Conflict of interest: Drs. MacLean and Littenberg, along with the University of Vermont, hold equity in Vermedx, Inc., which distributes the Vermedx® Diabetes Information System, which is based on the work described in this manuscript. The authors comply with all conflict of interest policies of the National Institutes of Health and of the University of Vermont.

PII: S1877-1319(10)00006-6

doi: 10.1016/j.ehrm.2010.03.002

Health Outcomes Research in Medicine
Volume 1, Issue 1 , Pages e61-e66 , July 2010

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