Abstract
This article is the third and final installment in our diabetes quality improvement primer series. It summarizes how to interpret real-time data with run charts and highlights 4 key rules that can be applied to understand whether improvement is statistically significant. We also review the importance of outlining a family of measures, including outcome, process and balancing measures. Finally, we discuss strategies for sustaining change.
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