• Can J Anaesth · Feb 2015

    Review

    Health economics in Enhanced Recovery After Surgery programs.

    • Marinus D J Stowers, Daniel P Lemanu, and Andrew G Hill.
    • Department of Surgery, Middlemore Hospital, University of Auckland, Private Bag 23311, Otahuhu, Auckland, 1600, New Zealand.
    • Can J Anaesth. 2015 Feb 1;62(2):219-30.

    PurposeThe Enhanced Recovery After Surgery (ERAS) program aims to combine and coordinate evidence-based perioperative care interventions that support standardizing and optimizing surgical care. In conjunction with its clinical benefits, it has been suggested that ERAS reduces costs through shorter convalescence and reduced morbidity. Nevertheless, few studies have evaluated the cost-effectiveness of ERAS programs. The aim of this systematic review, therefore, is to evaluate the claims that ERAS is cost-effective and to characterize how these costs were reported and evaluated.SourceThe electronic databases, MEDLINE(®) and EMBASE™, were searched from inception to April 2014.Principal FindingsSeventeen studies met the inclusion criteria and were included for review. Enhanced Recovery After Surgery protocols in various abdominal surgeries have been investigated, including colorectal, bariatric, gynecological, gastric, pancreatic, esophageal, and vascular surgery. All studies reported cost savings associated with hastening recovery and reducing morbidity and complications. All studies included in this review focused primarily on in-hospital costs, with some attempting to account for readmission costs and follow-up services. In all but two studies, the breakdown of cost data for the individual studies was poorly detailed.ConclusionsIn conclusion, ERAS protocols appear to be both clinically efficacious and cost effective across a variety of surgical specialties in the short term. Nevertheless, studies reporting out-of-hospital cost data are lacking. Further research is required to determine how best to evaluate both medium- and long-term costs relating to ERAS pathways while taking quality of life data into account.

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