Funded by the Department of Veterans Affairs.
Funding Years: 2012-2013.
Diabetes is a complex, chronic disease encompassing many domains of treatment. VHA and others have created diabetes guidelines to help support providers and patients in making choices about optimal treatment approaches. However, most guidelines are broad in nature, and offer relatively little guidance on how to personalize care in order to maximize treatment benefits, minimize the intensity and negative effects of treatment, and best align with individual treatment preferences.
We will test the effectiveness of a personalized decision support program. Our long term goals are:
- To test and implement a decision support program, including decision coaching supported by an interactive, personalized decision support tool, in clinical practice via our Patient-Aligned Care Team (PACT) laboratory.
- To assess the impact of personalized decision support on patient-centeredness, patient satisfaction, and the effectiveness of risk communication and treatment decision making.
We propose an interventional study to examine the effectiveness of personalized decision support. The intervention will consist of two key components: a decision coach and a personalized diabetes decision support tool. The decision support tool has mostly been developed via AHRQ and local pilot funding mechanisms, and is informed by personalized estimation of treatment benefits for blood glucose, blood pressure, and lipid treatment based on extensive modeling work done by our investigative team. The personalized benefit information is communicated through graphical risk communication methods (pictographs).
PI(s): Angela Fagerlin