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Personalized Decision Support in Type 2 Diabetes Mellitus: Current Evidence and Future Directions

  • Health Care Delivery Systems in Diabetes (D Wexler, Section Editor)
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Abstract

The management of type 2 diabetes comprises a complex series of medical decisions regarding goals of care, self-care behaviors, and medical treatments. The quality of these medical decisions is critical to determining whether an individual diabetes patient is treated appropriately, overtreated, or undertreated. It is hypothesized that the quality of these medical decisions can be enhanced by personalized decision support tools that summarize patient clinical characteristics, treatment preferences, and ancillary data at the point of care. We describe the current state of personalized diabetes decision support on the basis of 13 recently described tools. Three tools provided support for personalized decisions based on preferences, while the remaining 10 provided support for treatment decisions designed to achieve standard diabetes goals. For the tools that supported personalized decisions, patient participation in medical decisions improved. Future decision support tools must be designed to account for both clinical characteristics and patient preferences.

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Disclosure

Conflicts of interest: M. J. Wilkinson, none; A. G. Nathan has received grant support from Retirement Research Foundation and the American Diabetes Association; E.S. Huang has received grant support from Retirement Research Foundation, the American Diabetes Association (Clinical Research Award), and the NIDDK (NIDDK P30 DK092949-01).

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Authors and Affiliations

  1. University of Chicago, 5841 S. Maryland Ave., MC2007, Chicago, IL, 60637, USA

    Michael J. Wilkinson, Aviva G. Nathan & Elbert S. Huang

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  1. Michael J. Wilkinson
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  2. Aviva G. Nathan
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  3. Elbert S. Huang
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Correspondence to Elbert S. Huang.

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Wilkinson, M.J., Nathan, A.G. & Huang, E.S. Personalized Decision Support in Type 2 Diabetes Mellitus: Current Evidence and Future Directions. Curr Diab Rep 13, 205–212 (2013). https://doi.org/10.1007/s11892-012-0348-6

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  • DOI: https://doi.org/10.1007/s11892-012-0348-6

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