Improving Value in Colorectal Cancer Care: An Economic Analysis of Enhanced Recovery Protocols at a Community Hospital

Lexi Frankel, Amalia D. Ardeljan, Ali Rashid, Abhishek Nair, Kazuaki Takabe, Omar M. Rashid

Abstract


Background: Enhanced recovery protocols (ERPs) have been shown to improve the outcomes of gastrointestinal cancer care, leading to reduced morbidity of gastrointestinal treatment and reduced delays in systemic therapy. ERP implementation has also previously shown a reduction in length of stay (LOS) without changing the readmission rate; however, the economic cost associated with these measures has not yet been quantified. The aim of this study was to evaluate the economic costs of ERP implementation for colorectal cancer at a community hospital.

Methods: The Diagnostic Related Group (DRG) codes were used to assess costs associated with the hospitalizations of cases in the ERP versus non-ERP groups. The American Hospital Association (AHA) Annual Survey from 1999 to 2015 was used to provide the expenses per day for inpatient hospitalization in the United States. Postoperative LOS, average healthcare costs, and postoperative complications between ERP-protocol and non-ERP protocol groups were analyzed using analysis of variance (ANOVA) and independent t-tests.

Results: The AHA survey estimated that $2,265 was incurred per day for non-profit hospitals in Florida and $2,346 was incurred per day for the United States. For all DRG codes, the ERP-participating group was associated with a shorter LOS and reduced health care costs. LOS-associated cost was compared between ERP and non-ERP groups: for DRG 329, the total savings was $162,118.8 (n = 12 non-ERP versus n = 8 ERP, P = 4.39 10-18); for DRG 330, $314,552.64 (n = 36 non-ERP versus n = 24 ERP, P = 2.72 10-22); and for DRG 331, $89,302.73 (n = 11 non-ERP versus n = 23 for ERP, P = 4.19 10-20).

Conclusions: The implementation of an ERP protocol for colorectal cancer was associated with significantly reduced costs in a community hospital.




World J Oncol. 2023;14(5):401-405
doi: https://doi.org/10.14740/wjon1580

Keywords


Expenses; Reduction; Recovery; Surgery; ERP; Length of stay; Readmission rates

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