University of Chicago, Chicago, IL 60637, USA.
Curr Diab Rep. 2013 Apr;13(2):205-12. doi: 10.1007/s11892-012-0348-6.
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.
2 型糖尿病的管理包括一系列复杂的医疗决策,涉及护理目标、自我护理行为和医疗治疗。这些医疗决策的质量对于确定个体糖尿病患者是否得到适当、过度或治疗不足的治疗至关重要。据推测,可以通过个性化决策支持工具来增强这些医疗决策的质量,这些工具可以在护理点总结患者的临床特征、治疗偏好和辅助数据。我们根据最近描述的 13 种工具描述了个性化糖尿病决策支持的现状。有三种工具基于偏好提供个性化决策支持,而其余十种工具则提供旨在实现标准糖尿病目标的治疗决策支持。对于支持个性化决策的工具,患者参与医疗决策的程度有所提高。未来的决策支持工具必须设计成既能考虑临床特征又能考虑患者偏好。