Chronic respiratory patient control by multivariate charts

Abstract

PurposeThis 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/approachControl 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.FindingsOne‐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/implicationsThe study's main limitation is its retrospective nature. However, following‐up individual patients can highlight medical therapy effects.Practical implicationsThe 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/valueThe article highlights control chart application to chronic respiratory patient follow‐up, permitting a global view of patient evolution over time.