The use of statistical process control (risk‐adjusted CUSUM, risk‐adjusted RSPRT and CRAM with prediction limits) for monitoring the outcomes of out‐of‐hospital cardiac arrest patients rescued by the EMS system

Abstract

A visual approach to EMS systems monitoring that combines the risk-adjusted cumulative sum, Risk-adjusted resetting sequential probability ratio test and cumulative risk-adjusted mortality with prediction limits charts was established. It was found that this approach can be effectively used by the EMS community to monitor OHCA outcomes in real time.

Dynamic probability control limits for risk‐adjusted CUSUM charts based on multiresponses

“…Their risk-adjusted Bernoulli CUSUM chart has been shown to be well suited for settings where there is a mix of patients with various pre-operative risks and therefore has been recommended and applied by a number of practitioners. The risk-adjusted CUSUM charts have been used to assess or monitor clinical outcome performance for various applications [8][9][10][11][12][13][14][15][16][17][18].…”

Extrahepatic Conditions Associated With Primary Biliary Cirrhosis

“…RA‐SPRT curve was created for each center 10–15. In particular, the Milan's LC was recalculated using a new risk prediction model that considered the experiences of both centers.…”

“…Sequential Probability Ratio Test (SPRT) has been largely employed to monitor the safety of medical interventions, such as interventional cardiology, cardiac surgery, and emergency medical services 10–13. It provides a graphic summary of changes in performance with time and could also assess LCs of surgical procedures 14.…”

The Importance of the Learning Curve and Surveillance of Surgical Performance in Peritoneal Surface Malignancy Programs

“…7,8 The few studies published thus far on learning curve of CRS and HIPEC have reported a steep and long-lasting process until the acquisition of sufficient competence. [9][10][11][12] Although originally developed for use in quality control studies in the realm of manufacturing, 13 the sequential probability ratio test (SPRT) has been largely used in medicine to monitor the safety of medical interventions such as interventional cardiology, cardiac surgery, emergency medical services, and other procedures [14][15][16][17] It offers an advantage by allowing formal hypothesis testing. By providing a graphic summary of changes in performance with time, SPRT can detect deteriorated or improved performance.…”