Related Experiment Video
Updated: Jun 6, 2026

Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
CUSUM analysis to assess competence: what failure rate is acceptable?
Jai Sivaprakasam1, Makani Purva
1Department of Anaesthesia, Hull and East Yorkshire Hospitals NHS Trust, Hull, UK. jsivaprakasam@doctors.org.uk
Cumulative sum (CUSUM) analysis effectively assesses experienced trainees’ competency in procedures like labor epidurals. However, varying acceptable failure rates can yield inconsistent results, highlighting the need for standardized guidelines.
Area of Science:
- Medical Education
- Anesthesiology
- Clinical Skills Assessment
Background:
- Cumulative sum (CUSUM) analysis is a statistical tool for assessing competency in practical procedures.
- Previous CUSUM studies primarily focused on novice trainees for labor epidural administration.
- Variability exists in acceptable failure rates used for competency assessments.
Purpose of the Study:
- To evaluate the utility of CUSUM analysis for the continued competency assessment of experienced trainees.
- To investigate the impact of different acceptable failure rates on CUSUM-based competency conclusions.
- To test the hypothesis that varying failure rates lead to different competency assessments.
Main Methods:
- Collected data on the first 50 labor epidurals performed by specialty training (ST) 3/4 level trainees.
- Constructed two CUSUM graphs per trainee using distinct acceptable and unacceptable failure rates (10%/20% and 15%/30%).
- Analyzed CUSUM data to determine demonstrated competency based on the chosen failure rate thresholds.
Main Results:
- Using 10% acceptable and 20% unacceptable failure rates, only 4 of 6 trainees demonstrated competence.
- With 15% acceptable and 30% unacceptable failure rates, 5 of 6 trainees demonstrated competence.
- The number of attempts required for competency varied significantly based on the failure rate settings.
Conclusions:
- CUSUM analysis is a viable method for the ongoing assessment of competence in experienced trainees.
- Different failure rate settings can lead to divergent conclusions regarding trainee competency, causing inconsistency.
- Standardized guidance on acceptable failure rates for procedures like labor epidurals is needed from training organizations.
Related Concept Videos
Confidence Coefficient
Critical Values
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Finding Critical Values for Chi-Square
Expected Frequencies in Goodness-of-Fit Tests
Detection of Gross Error: The Q Test
