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Chronic respiratory patient control by multivariate charts
Florbela Correia1, Rui Nêveda, Pedro Oliveira
1Escola Superior de Ciências Empresariais, Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal.
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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