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Enhanced recovery after surgery (ERAS) protocols are standardized perioperative treatment plans aimed at improving recovery time in patients following surgery using a multidisciplinary team approach. These protocols have been shown to optimize pain control, improve mobility, and decrease postoperative ileus and other surgical complications, thereby leading to a reduction in length of stay and readmission rates. To date, no ERAS-based protocols have been developed specifically for pediatric patients undergoing oncologic surgery. Our objective is to describe the development of a novel protocol for pediatric, adolescent, and young adult surgical oncology patients. Our protocol includes the following components: preoperative counseling, optimization of nutrition status, minimization of opioids, meticulous titration of fluids, and early mobilization. We describe the planning and implementation challenges and the successes of our protocol. The effectiveness of our program in improving perioperative outcomes in this surgical population could lead to the adaptation of such protocols for similar populations at other centers and would lend support to the use of ERAS in the pediatric population overall.

Background and Objectives The purpose of this study was to compare surgical outcomes before and after implementation of an enhanced recovery protocol (ERP) in gastrectomy for gastric cancer. Methods We included patients who underwent open gastrectomy for gastric cancer before (January 2016 to September 2018) or after (October 2018 to September 2020) ERP implementation. The primary outcome was the postoperative length of stay (LOS). Secondary outcomes included 90‐day readmission rates and Clavien–Dindo grade ≥ 3 complications. Results One hundred patients underwent gastrectomy before (pre‐ERP group) and 52 underwent gastrectomy after (ERP group) protocol implementation. Demographic and clinicopathologic characteristics were similar. The median (interquartile range) postoperative LOS was shorter in the ERP group (7.0 days [6.0–8.0] vs. 8.0 days [7.0–11.0]; p < 0.001). The ERP group had similar rates of readmission (33% vs. 24%; p = 0.34) and grade ≥ 3 complications (19% vs. 19%; p = 1.0) compared to the pre‐ERP group, but experienced lower rates of surgical wound complications (0% vs. 19%; p < 0.001). Rates of other complications were similar. Conclusions Implementation of an ERP in patients undergoing open gastrectomy for gastric cancer is feasible and safe and has the potential to decrease postoperative LOS without increasing complication rates.

Background and Objective: With the inclusion of Enhanced Recovery Programs (ERPs) into routine clinical practice, scaling programs across an institution is important to drive sustainable change in a patient-centric care delivery paradigm. A review of ERP implementation within a large institution was performed to understand key components that hinder or facilitate success of scaling an ERP. Methods: From January 2018 to March 2018, a needs assessment was completed to review implementation of enhanced recovery across the institution. Implementation progress was categorized into one of 5 phases including Define, Implement, Measure, Analyze, and Optimize. Results: Only 25% of service line ERPs reached the optimization phase within 5 years. One hundred percent of respondents reported more strengths (n = 41) and opportunities (n = 41) than weaknesses or threats (n = 25 and 14, respectively). Commonly identified strengths included established enhanced recovery pathways, functional team databases, and effective provider education. Weaknesses identified were inconsistencies in data quality/collection and a lack of key personnel participation including buy-in and time availability. Respondents perceived the need for data standardization to be an opportunity, while personnel factors were viewed as key threats. Conclusion: Identification of strengths, weaknesses, opportunities, and threats could prove beneficial in helping scale an ERP across an institution. Successful optimization and expansion of ERPs require robust data management for continuous quality improvement efforts among clinicians, administrators, executives, and patients.