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哮喘护理中的呼气峰值流速控制图:图表构建及在哮喘护理中的应用

Peak expiratory flow rate control chart in asthma care: chart construction and use in asthma care.

作者信息

Boggs P B, Wheeler D, Washburne W F, Hayati F

机构信息

The Asthma-Allergy Clinic and Research Center, Shreveport, Louisiana, USA.

出版信息

Ann Allergy Asthma Immunol. 1998 Dec;81(6):552-62. doi: 10.1016/S1081-1206(10)62706-8.

Abstract

BACKGROUND

The home monitoring of peak expiratory flow rate (PEFR), although recommended in current asthma guidelines, remains seriously underutilized by both patients and physicians. Our assessment is that this is more a statement regarding the inability of current charting methods to fulfill the promises made for PEFR monitoring, rather than a commentary regarding the usefulness of peak expiratory flow rate monitoring per se. We have adapted the theory and charting tool of the discipline of statistical process control to the daily monitoring of PEFR in the care of patients with asthma. Statistical process control charts integrate the actual PEFR values and their day-to-day variation in a manner that permits more informed decision-making. This article introduces our adaptation of statistical process control theory and charts via three case presentations.

OBJECTIVE

Report our experience in the use of statistical process control theory and charting to the monitoring of peak expiratory flow in the care of patients with asthma.

METHODS

Discussion of methodology and case reports.

CONCLUSION

This is the first report of the application of statistical process control (SPC) theory and charting to the home monitoring of peak expiratory flow rate and the clinical decision-making processes involved in the day-to-day care of patients with asthma. SPC charts integrate knowledge of actual serial PEFR measurements with knowledge of their associated serial variation. Our adaptation of this theory and its charting methodology results in a tool that loses nothing provided by the charting methods suggested in current guidelines and, at the same time, provides patient specific, statistically driven signals of significant change; facilitates identification of the reason(s) for the change in PEFR; predicts the range in which future function will occur; permits decision-making and care to be provided in an anticipatory manner; and, importantly, permits the early identification of the functionally at-risk patient. This report demonstrates that home monitoring of peak expiratory flow is a robust tool whose usefulness in the care of patients with asthma has been limited more by the paradigm in which we have required it be used than by any of the limitations of the measurement per se.

摘要

背景

尽管当前哮喘指南推荐进行呼气峰值流速(PEFR)的家庭监测,但患者和医生对其的使用仍然严重不足。我们的评估是,这更多地是关于当前图表记录方法无法实现PEFR监测所承诺的效果的一种表述,而非关于呼气峰值流速监测本身的有用性的评论。我们已将统计过程控制学科的理论和图表工具应用于哮喘患者护理中PEFR的日常监测。统计过程控制图以一种能使决策更明智的方式整合了实际的PEFR值及其每日变化。本文通过三个病例展示介绍我们对统计过程控制理论和图表的应用。

目的

报告我们在使用统计过程控制理论和图表来监测哮喘患者呼气峰值流速方面的经验。

方法

方法讨论及病例报告。

结论

这是关于将统计过程控制(SPC)理论和图表应用于呼气峰值流速家庭监测以及哮喘患者日常护理中临床决策过程的首份报告。SPC图将实际连续PEFR测量的知识与相关连续变化的知识相结合。我们对该理论及其图表方法的应用产生了一种工具,它不会失去当前指南中建议的图表方法所提供的任何内容,同时提供针对患者的、由统计驱动的显著变化信号;有助于确定PEFR变化的原因;预测未来功能将出现的范围;允许以预期的方式进行决策和提供护理;并且重要的是,允许早期识别功能处于风险中的患者。本报告表明,呼气峰值流速的家庭监测是一种强大的工具,其在哮喘患者护理中的有用性更多地受到我们要求其使用的模式的限制,而非测量本身的任何限制。

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