Enhanced Recovery Pathway Improves Colorectal Surgery Outcomes in Private and Safety-Net Settings

J Surg Res. 2020 Jan:245:354-359. doi: 10.1016/j.jss.2019.07.067. Epub 2019 Aug 16.

Abstract

Background: Enhanced recovery pathways (ERPs) can decrease length of stay (LOS) and improve colorectal surgery outcomes in private health care; however, their efficacy in the public realm, comprised largely of underserved and uninsured patients, remains uncertain.

Materials and methods: An ERP without social interventions was implemented at a private hospital (PH) and a safety-net hospital (SNH) within a large academic medical center in 2014. Process and outcome metrics from 100 patients in the 18 mo before ERP implementation at each institution were retrospectively compared with a similar group after ERP implementation. Primary outcomes were LOS, 30-d readmission, and reoperation.

Results: Post-ERP groups were older than pre-ERP (P = 0.047, 0.034), with no difference in sex or body mass index. Rate of open versus minimally invasive was similar at the SNH (P = 0.067), whereas more post-ERP patients at PH underwent open surgery (P = 0.002). Ninety six percentage of PH patients were funded through private insurance or Medicare, verses 6% at the SNH. LOS at PH decreased from 8.1 to 5.9 d (P = 0.028) and at SNH from 7.0 to 5.1 d (P = 0.004). There was no change in 30-d all-cause readmission (PH P = 0.634; SNH P = 1) or reoperation (PH P = 0.610; SNH P = 0.066).

Conclusions: ERP reduced LOS in both private and safety-net settings without addressing social determinants of health. Readmission and reoperation rates were unchanged. As health care moves toward a bundled payment model, ERP can help optimize outcomes and control costs in the public arena.

Keywords: Clinical pathway; Colorectal surgery; Enhanced recovery; Length of stay; Safety net.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Colorectal Surgery*
  • Critical Pathways*
  • Enhanced Recovery After Surgery*
  • Female
  • Hospitals, Private / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Outcome and Process Assessment, Health Care
  • Retrospective Studies
  • Safety-net Providers / statistics & numerical data*