Quality Improvement Charts1 years ago
Installation | Your first run and control charts | Understanding variation | Testing for special cause variation | Shewhart's 3-sigma rule | The Western Electric rules | The Anhøj rules | Choosing the right control chart | Case 1: Patient harm | Run chart of adverse events per 1000 patient days | U chart of adverse events per 1000 patient days | Run and P control charts of percent harmed patients | Pareto analysis of adverse event types and severity | Case 2: Clostridium difficile infections | Run charts for number of infections | C chart for number of infections | U chart for infection rate | When should you recompute the limits? | Case 3: Coronary artery bypass graft | I and MR charts for age of individual patients | Xbar and S charts for average and standard deviation of patient age | P charts for proportion of patients who were readmitted or died within 30 after surgery | T and G charts for rare events | Faceting readmission rates by gender | Case 4: Faceting hospital infections by hospital and infection | U chart of the total number of infections per 10,000 risk days | Faceted U chart by type of infection | Two-way faceted U chart by infection and hospital | Funnels plot of infection rates by hospital | Case 5: Prime charts for count data with very large sample sizes | Conclusion | References | Appendix 1: Calculating 3-sigma limits | Appendix 2: Critical values for longest run and number of crossings
