Temporal trends and volume-outcome associations in periampullary cancer patients: a propensity score-adjusted nationwide population-based study

Am J Surg. 2014 Apr;207(4):512-9. doi: 10.1016/j.amjsurg.2013.06.019. Epub 2013 Oct 26.

Abstract

Background: The purpose of this study was to evaluate temporal trends in the incidence of pancreaticoduodenectomy (PD) with periampullary cancers and the impact of hospital volume and surgeon volume on patient outcomes and to explore predictors of these outcomes.

Methods: This population-based cohort study retrospectively analyzed 4,039 PD procedures performed from 1998 to 2009. The odds ratio and 95% confidence interval were calculated to assess the relative change rate. Hierarchical regression models were used to predict these outcomes.

Results: The incidence of PDs per 10(5) persons increased from .97 to 1.89, whereas the length of stay and hospital treatment cost declined. Current treatment in a low-volume hospital and current treatment by a low-volume surgeon showed significant positive associations with these outcomes (P < .001).

Conclusions: The data indicate that analysis and emulation of the treatment strategies used by high-volume hospitals and high-volume surgeons may reduce overall hospital resource use. Because high-volume hospitals and surgeons consistently achieve superior outcomes of PD, their treatment strategies should be carefully analyzed and emulated.

Keywords: Outcomes; Pancreaticoduodenectomy; Temporal trends; Volumes.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Ampulla of Vater / surgery*
  • Common Bile Duct Neoplasms / surgery*
  • Duodenal Neoplasms / surgery
  • Female
  • Follow-Up Studies
  • Hospitals, High-Volume / standards*
  • Hospitals, Low-Volume / statistics & numerical data*
  • Humans
  • Male
  • Pancreatic Neoplasms / surgery
  • Pancreaticoduodenectomy / trends*
  • Population Surveillance*
  • Propensity Score
  • Retrospective Studies
  • Taiwan
  • Workload*