Department of Medicine, Division of Endocrinology & Metabolism, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology, St. Michael's Hospital, Toronto, Ontario, Canada.
Department of Medicine, Division of Endocrinology & Metabolism, University of Toronto, Toronto, Ontario, Canada; Women's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, Ontario, Canada; Division of Endocrinology, Women's College Hospital, Toronto, Ontario, Canada.
Can J Diabetes. 2019 Jun;43(4):249-255. doi: 10.1016/j.jcjd.2019.02.007. Epub 2019 Feb 27.
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.
这篇文章是我们糖尿病质量改进入门系列的第三篇也是最后一篇。它总结了如何使用运行图来解释实时数据,并强调了可以应用于理解改进是否具有统计学意义的 4 条关键规则。我们还回顾了概述一系列措施的重要性,包括结果、过程和平衡措施。最后,我们讨论了维持变革的策略。