Solodky C, Chen H, Jones P K, Katcher W, Neuhauser D
Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH, USA.
Med Care. 1998 Aug;36(8 Suppl):AS13-20. doi: 10.1097/00005650-199808001-00003.
The authors show the potential value of using statistical process control (SPC) methods to measure change in health status for patients with chronic conditions. Examples will be used to compare the strengths and weaknesses of these methods to randomized clinical trials (RCTs).
Run charts, control charts, and regression models are used to explain variations in patients' hypertension and diabetes.
Significant improvements are shown in the examples given using the Western Electric rules.
These SPC methods can be used for self-management of chronic conditions. They provide a new set of tools for measuring health care outcomes.
作者展示了使用统计过程控制（SPC）方法来衡量慢性病患者健康状况变化的潜在价值。将通过实例来比较这些方法与随机临床试验（RCT）的优缺点。
使用运行图、控制图和回归模型来解释患者高血压和糖尿病的变化情况。
使用西方电气规则给出的实例显示出显著改善。
这些SPC方法可用于慢性病的自我管理。它们为衡量医疗保健结果提供了一套新工具。
