Results of a multicentre randomised controlled trial of statistical process control charts and structured diagnostic tools to reduce ward-acquired meticillin-resistant Staphylococcus aureus: the CHART Project

2008 ◽  
Vol 70 (2) ◽  
pp. 127-135 ◽  
Author(s):  
E. Curran ◽  
P. Harper ◽  
H. Loveday ◽  
H. Gilmour ◽  
S. Jones ◽  
...  
2002 ◽  
Vol 23 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Evonne T. Curran ◽  
James C. Benneyan ◽  
John Hood

AbstractObjectives:To investigate the benefit of a hospitalwide feedback program regarding methicillin-resistant Staphylococcus aureus (MRSA), using annotated statistical process control charts.Design:Retrospective and prospective analysis of MRSA rates using statistical process control charts.Participants:Twenty-four medical, medical specialty, surgical, intensive care, and cardiothoracic care wards and units at four Glasgow Royal Infirmary hospitals.Methods:Annotated control charts were applied to prospective and historical monthly data on MRSA cases from each ward and unit during a 46-month period from January 1997 through September 2000. Results were fed back from December 1999 and then on a regular monthly basis to medical staff, ward managers, senior managers, and hotel services.Results:Monthly reductions in the MRSA acquisition rate started 2 months after the introduction of the feedback program and have continued to the present time. The overall MRSA rate currently is approximately 50% lower than when the program began and has become more consistent and less variable within departments throughout Glasgow Royal Infirmary. The control charts have helped to detect rate changes and manage resources more effectively. Medical and nursing staff and managers also report that they find this the most positive form of MRSA feedback they have received.Conclusions:Feedback programs that provide current information to front-line staff and incorporate annotated control charts can be effective in reducing the rate of MRSA.


Author(s):  
Mifta Priyanto

This paper presents the application of Total Quality Management Method using Pareto diagrams and Statistical Process Control charts (SPC). These tools can be applied to both the manufacturing and construction sectors. A Pareto diagram can figure out some of the dominant problems of the projects, and SPC can determine whether the data variation is within control limits. SPC can measure the quality of performance in learning curve using the upper-range limit and lower-range limit of the control analysis. A case study was conducted on a precast beams installation at a rental multi-story residential project in Jakarta, Indonesia. Based on the measurement, some data are outside of the control limit due to the problems identified in the Pareto diagram. Further analysis by measuring the Process Capability Ratio (Cp) produces a value <1, indicating that project management needs to be careful about process variation.


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