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Cost effectiveness of self-monitoring of blood glucose (SMBG) for patients with type 2 diabetes and not on insulin

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  • Sandra Tunis

Abstract

These results underscore the importance of modelling assumptions regarding the duration of HbA 1c effect. The current study shares several COMPUS limitations relating to the UKPDS model being designed for newly diagnosed patients, and to randomized controlled trial monitoring rates. Neither study explicitly examined the impact of varying the duration of initial HbA 1c effects, or of medication or other treatment changes. Because the COMPUS research will potentially influence clinical practice and reimbursement policy in Canada, understanding the impact of assumptions on cost-effectiveness results seems especially important. Demonstrating that COMPUS ICERs were greatly reduced through variations in a small number of inputs may encourage additional clinical research designed to measure SMBG effects within the context of optimal disease management. It may also encourage additional economic evaluations that incorporate lessons learned and best practices for assessing the overall value of SMBG for type 2 diabetes in insulin-naive patients. Copyright Adis Data Information BV 2011

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  • Sandra Tunis, 2011. "Cost effectiveness of self-monitoring of blood glucose (SMBG) for patients with type 2 diabetes and not on insulin," Applied Health Economics and Health Policy, Springer, vol. 9(6), pages 351-365, November.
    • Handle: RePEc:spr:aphecp:v:9:y:2011:i:6:p:351-365
    DOI: 10.2165/11594270-000000000-00000
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    References listed on IDEAS

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    1. Patrick W. Sullivan & Vahram Ghushchyan, 2006. "Preference-Based EQ-5D Index Scores for Chronic Conditions in the United States," Medical Decision Making, , vol. 26(4), pages 410-420, July.
    2. Maddigan, S.L. & Feeny, D.H. & Majumdar, S.R. & Farris, K.B. & Johnson, J.A., 2006. "Understanding the determinants of health for people with type 2 diabetes," American Journal of Public Health, American Public Health Association, vol. 96(9), pages 1649-1655.
    3. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    4. Philip Clarke & Alastair Gray & Rury Holman, 2002. "Estimating Utility Values for Health States of Type 2 Diabetic Patients Using the EQ-5D (UKPDS 62)," Medical Decision Making, , vol. 22(4), pages 340-349, August.
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