Monitoring patients using control charts: a systematic review.
OBJECTIVE
To systematically review the uses control charts to monitor clinical variables in individual patients.


METHODS
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.


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.
Tennant
Ruth
R
Department of Public Health and Epidemiology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Mohammed
Mohammed A
MA
Coleman
Jamie J
JJ
Martin
Una
U
D001249:Asthma / Q000628:therapy; D003920:Diabetes Mellitus / Q000628:therapy; D006801:Humans; D006973:Hypertension / Q000628:therapy; D007677:Kidney Function Tests; D008991:Monitoring, Physiologic / Q000379:methods* / Q000706:statistics & numerical data*; D011787:Quality of Health Care / Q000706:statistics & numerical data*; D012680:Sensitivity and Specificity