Control charts in healthcare quality improvement. A systematic review on adherence to methodological criteria.

IF 1.8 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Methods of Information in Medicine Pub Date : 2012-01-01 Epub Date: 2012-04-05 DOI:10.3414/ME11-01-0055
A Koetsier, S N van der Veer, K J Jager, N Peek, N F de Keizer
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Abstract

Objectives: Use of Shewhart control charts in quality improvement (QI) initiatives is increasing. These charts are typically used in one or more phases of the Plan Do Study Act (PDSA) cycle to monitor summaries of process and outcome data, abstracted from clinical information systems, over time. We summarize methodological criteria of Shewhart control charts and investigate adherence of published QI studies to these criteria.

Methods: We searched Medline, Embase and CINAHL for studies using Shewhart control charts in QI processes in direct patient care. We extracted methodological criteria for Shewhart control charts, and for the use of these charts in PDSA cycles, from textbooks and methodological literature.

Results: We included 34 studies, presenting 64 control charts of which 40 control charts plotted two phases of the PDSA cycle. The criterion to use 10-35 data points in a control chart was least adhered to (48.4% non-adherence). Other criteria were: transformation of the data in case of a skewed distribution (43.7% non adherence), when comparing data from two phases of the PDSA cycle the Plan phase (the first phase) needs to be stable (40.0% non-adherence), using a maximum of four different rules to detect special cause variation (14.1% non-adherence), and setting control limits at three standard deviations from the mean (all control charts adhered).

Conclusion: There is room for improvement with regard to the methodological construction of Shewhart control charts used in QI processes. Higher adherence to all methodological criteria will decrease the risk of incorrect conclusions about the process being monitored.

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医疗保健质量改进中的控制图。对方法学标准遵守情况的系统回顾。
目的:在质量改进(QI)计划中使用Shewhart控制图的情况正在增加。这些图表通常用于计划-实施-研究法案(PDSA)周期的一个或多个阶段,以监测从临床信息系统中提取的过程和结果数据的摘要。我们总结了Shewhart控制图的方法学标准,并调查了已发表的QI研究对这些标准的依从性。方法:检索Medline、Embase和CINAHL,查找在患者直接护理过程中使用Shewhart控制图的研究。我们从教科书和方法学文献中提取了Shewhart控制图的方法学标准,以及这些图表在PDSA循环中的使用。结果:我们纳入34项研究,共提供64个控制图,其中40个控制图绘制了PDSA循环的两个阶段。在控制图中使用10-35个数据点的标准最不遵守(48.4%不遵守)。其他标准是:在偏态分布情况下的数据转换(43.7%不遵守),当比较PDSA周期的两个阶段的数据时,计划阶段(第一阶段)需要稳定(40.0%不遵守),使用最多四种不同的规则来检测特殊原因变化(14.1%不遵守),并将控制极限设置在平均值的三个标准差处(所有控制图均遵守)。结论:在质量保证过程中使用的休哈特控制图的方法学构建还有改进的空间。更高程度地遵守所有方法学标准将减少对所监测过程得出错误结论的风险。
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来源期刊
Methods of Information in Medicine
Methods of Information in Medicine 医学-计算机:信息系统
CiteScore
3.70
自引率
11.80%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Good medicine and good healthcare demand good information. Since the journal''s founding in 1962, Methods of Information in Medicine has stressed the methodology and scientific fundamentals of organizing, representing and analyzing data, information and knowledge in biomedicine and health care. Covering publications in the fields of biomedical and health informatics, medical biometry, and epidemiology, the journal publishes original papers, reviews, reports, opinion papers, editorials, and letters to the editor. From time to time, the journal publishes articles on particular focus themes as part of a journal''s issue.
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