Matthes Nikolas, Ogunbo Samuel, Pennington Gaither, Wood Nell, Hart Marilyn K, Hart Robert F
Department of Health Policy and Management, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21075, USA.
Qual Manag Health Care. 2007 Jul-Sep;16(3):205-14. doi: 10.1097/01.QMH.0000281056.15177.a2.
The health care industry is slowly embracing the use of statistical process control (SPC) to monitor and study causes of variation in health care processes. While the statistics and principles underlying the use of SPC are relatively straightforward, there is a need to be cognizant of the perils that await the user who is not well versed in the key concepts of SPC. This article introduces the theory behind SPC methodology, describes successful tactics for educating users, and discusses the challenges associated with encouraging adoption of SPC among health care professionals. To illustrate these benefits and challenges, this article references the National Hospital Quality Measures, presents critical elements of SPC curricula, and draws examples from hospitals that have successfully embedded SPC into their overall approach to performance assessment and improvement.
医疗保健行业正逐渐采用统计过程控制(SPC)来监测和研究医疗保健过程中的变异原因。虽然使用SPC的统计数据和原理相对简单,但需要认识到,对于不精通SPC关键概念的用户来说,存在一些风险。本文介绍了SPC方法背后的理论,描述了教育用户的成功策略,并讨论了在医疗保健专业人员中鼓励采用SPC所面临的挑战。为了说明这些好处和挑战,本文引用了国家医院质量指标,介绍了SPC课程的关键要素,并列举了一些成功将SPC纳入其整体绩效评估和改进方法的医院的例子。