Combined cumulative sum (CUSUM) and chronological environmental analysis as a tool to improve the learning environment for linear-probe endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) trainees: a pilot study

BMC Pulm Med. 2017 Feb 7;17(1):32. doi: 10.1186/s12890-017-0375-9.

Abstract

Background: Cumulative sum (CUSUM) analysis can be used to continuously monitor the performance of an individual or process and detect deviations from a preset or standard level of achievement. However, no previous study has evaluated the utility of CUSUM analysis in facilitating timely environmental assessment and interventions to improve performance of linear-probe endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). The aim of this study was to evaluate the usefulness of combined CUSUM and chronological environmental analysis as a tool to improve the learning environment for EBUS-TBNA trainees.

Methods: This study was an observational chart review. To determine if performance was acceptable, CUSUM analysis was used to track procedural outcomes of trainees in EBUS-TBNA. To investigate chronological changes in the learning environment, multivariate logistic regression analysis was used to compare several indices before and after time points when significant changes occurred in proficiency.

Results: Presence of an additional attending bronchoscopist was inversely associated with nonproficiency (odds ratio, 0.117; 95% confidence interval, 0-0.749; P = 0.019). Other factors, including presence of an on-site cytopathologist and dose of sedatives used, were not significantly associated with duration of nonproficiency.

Conclusions: Combined CUSUM and chronological environmental analysis may be useful in hastening interventions that improve performance of EBUS-TBNA.

Keywords: CUSUM analysis; EBUS-TBNA; Endobronchial ultrasound-guided transbronchial needle aspiration; Quality improvement.

MeSH terms

  • Bronchoscopy / education*
  • Clinical Competence / statistics & numerical data*
  • Data Interpretation, Statistical
  • Endoscopic Ultrasound-Guided Fine Needle Aspiration / methods*
  • Humans
  • Japan
  • Logistic Models
  • Multivariate Analysis
  • Pilot Projects
  • Quality Improvement*