International Journal for Quality in Health Care Advance Access originally published online on June 1, 2007
International Journal for Quality in Health Care 2007 19(4):187-194; doi:10.1093/intqhc/mzm015
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Monitoring patients using control charts: a systematic review
1 Department of Public Health and Epidemiology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
2 Queen Elizabeth Hospital, Edgbaston, Birmingham B15 2TH, UK
3 Division of Medical Sciences, University of Birmingham, Edgbaston, Birmingham, UK
Objectives. To systematically review the uses control charts to monitor clinical variables in individual patients.
Data sources. Systematic searches of MEDLINE, CINAHL, Embase and five other databases yielded 74 studies, of which seven met our inclusion criteria of using control charts to monitor clinical variables for disease at an individual patient level.
Review methods. Included articles were reviewed independently by two reviewers. Data were extracted on study design, clinical condition or disease being monitored, clinical variable or marker, measurement method, outcome measure and any changes in clinical indicator identified in the articles.
Results. Control charts were applied to four conditions—hypertension, asthma, renal function post-transplant and diabetes. Studies fell into two categories. Three studies sought to determine the ‘performance’ of control charts in comparison with existing ‘gold standard methods’ in terms of sensitivity and specificity based on moderate sample sizes (n = 35–45). This category of studies found control charts to be simple, low-cost, effective tools with good sensitivity and specificity characteristics and concluded in favour of control charts. The other four studies were individual patient case-studies in which the use of control charts to monitor clinical variables was associated with a positive impact on patient and carer experience albeit anecdotally and with varying degrees of attention.
Conclusions. Control charts appear to have a promising but largely under-researched role in monitoring clinical variables in individual patients. Furthermore, rigorous evaluation of control charts is required.
Keywords: chronic diseases, quality of care, quality monitoring, random variation, statistical process control, variation
Address reprint requests to: Mohammed A. Mohammed, Tel: 0121 414 7187; Fax: 0121 414 7878; E-mail: m.a.mohammed{at}bham.ac.uk
Accepted for publication April 13, 2007.