Chronic respiratory patient control by multivariate charts.

PURPOSE This article seeks to explain how to monitor the chronic obstructive disease patient and control any complications so that timely treatment can be applied. DESIGN/METHODOLOGY/APPROACH Control charts and statistical process control (SPC) theory were used on chronic respiratory patient follow-up and control. Controlling several variables simultaneously, using univariate charts, can be misleading, more so when there are correlated variables, so multivariate and univariate control charts were studied. FINDINGS One-sided control charts are preferable when the aim is to detect changes in the mean solely in one direction. Thus, one-sided, univariate and multivariate charts were built, which identified previously undetected out-of-control events. RESEARCH LIMITATIONS/IMPLICATIONS The study's main limitation is its retrospective nature. However, following-up individual patients can highlight medical therapy effects. PRACTICAL IMPLICATIONS The article concludes that control charts, in particular one-sided ones, are a valuable tool for monitoring chronic respiratory patients, thus contributing to medical decision making. ORIGINALITY/VALUE The article highlights control chart application to chronic respiratory patient follow-up, permitting a global view of patient evolution over time.

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