Quality metrics in the performance of EUS: a population-based observational cohort of the United States

Gastrointest Endosc. 2021 Jul;94(1):68-74.e3. doi: 10.1016/j.gie.2020.12.055. Epub 2021 Jan 18.

Abstract

Background and aims: There are few data on the quality of EUS in the community setting. We characterized EUS performance at the individual facility level in 3 large American states, using need for repeat biopsy (NRB) as a metric for procedural failure, and the rate of unplanned hospital encounters (UHEs) as a metric for adverse events.

Methods: We collected data on 76,614 EUS procedures performed at 166 facilities in California, Florida, and New York (2009-2014). The endpoints for the study were 7-day rate of UHEs after EUS, and 30-day rate of NRB after EUS with fine-needle aspiration. Facility-level factors analyzed included annual procedure volume, urban/rural location, and free-standing status (facilities not attached to a larger hospital). Predictors for UHE and NRB were analyzed in both multivariable regression and nonparametric local regression.

Results: Facility volume did not predict risk for UHEs. However, high facility volume protected against NRB (P trend <.001) even after adjustment for other facility-level factors. When regressing facility volume against risk for NRB in local regression, a join point (inflection point) was identified at 97 procedures per annum. Once facilities reached this threshold volume, there appeared little additional protective effect of higher volume. Rural facility location (odds ratio, 1.81; 95% confidence interval, 1.36-2.40) and free-standing status (odds ratio, 1.57; 95% confidence interval, 1.16-2.13) were also associated with NRB.

Conclusion: Facility volume does not predict risk for adverse events after EUS. However, high facility volume is associated with decreased rates of technical failure (as assessed by NRB). These data provide one of the first descriptions of EUS practice in community settings and highlight opportunities to improve endoscopic quality nationally.

Publication types

  • Observational Study

MeSH terms

  • Benchmarking*
  • Biopsy, Fine-Needle
  • Cohort Studies
  • Humans
  • United States