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Multicenter Study
. 2017 Jul 19;152(7):e171032.
doi: 10.1001/jamasurg.2017.1032. Epub 2017 Jul 19.

Enhanced Recovery After Surgery Program Implementation in 2 Surgical Populations in an Integrated Health Care Delivery System

Affiliations
Multicenter Study

Enhanced Recovery After Surgery Program Implementation in 2 Surgical Populations in an Integrated Health Care Delivery System

Vincent X Liu et al. JAMA Surg. .

Abstract

Importance: Novel approaches to perioperative surgical care focus on optimizing nutrition, mobility, and pain management to minimize adverse events after surgical procedures.

Objective: To evaluate the outcomes of an enhanced recovery after surgery (ERAS) program among 2 target populations: patients undergoing elective colorectal resection and patients undergoing emergency hip fracture repair.

Design, setting, and participants: A pre-post difference-in-differences study before and after ERAS implementation in the target populations compared with contemporaneous surgical comparator groups (patients undergoing elective gastrointestinal surgery and emergency orthopedic surgery). Implementation began in February and March 2014 and concluded by the end of 2014 at 20 medical centers within the Kaiser Permanente Northern California integrated health care delivery system.

Exposures: A multifaceted ERAS program designed with a particular focus on perioperative pain management, mobility, nutrition, and patient engagement.

Main outcomes and measures: The primary outcome was hospital length of stay. Secondary outcomes included hospital mortality, home discharge, 30-day readmission rates, and complication rates.

Results: The study included a total of 3768 patients undergoing elective colorectal resection (mean [SD] age, 62.7 [14.1] years; 1812 [48.1%] male) and 5002 patients undergoing emergency hip fracture repair (mean [SD] age, 79.5 [11.8] years; 1586 [31.7%] male). Comparator surgical patients included 5556 patients undergoing elective gastrointestinal surgery and 1523 patients undergoing emergency orthopedic surgery. Most process metrics had significantly greater changes in the ERAS target populations after implementation compared with comparator surgical populations, including those for ambulation, nutrition, and opioid use. Hospital length of stay and postoperative complication rates were also significantly lower among ERAS target populations after implementation. The rate ratios for postoperative complications were 0.68 (95% CI, 0.46-0.99; P = .04) for patients undergoing colorectal resection and 0.67 (95% CI, 0.45-0.99, P = .05) for patients with hip fracture. Among patients undergoing colorectal resection, ERAS implementation was associated with decreased rates of hospital mortality (0.17; 95% CI, 0.03-0.86; P = .03), whereas among patients with hip fracture, implementation was associated with increased rates of home discharge (1.24; 95% CI, 1.06-1.44; P = .007).

Conclusions and relevance: Multicenter implementation of an ERAS program among patients undergoing elective colorectal resection and patients undergoing emergency hip fracture repair successfully altered processes of care and was associated with significant absolute and relative decreases in hospital length of stay and postoperative complication rates. Rapid, large-scale implementation of a multidisciplinary ERAS program is feasible and effective in improving surgical outcomes.

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Conflict of interest statement

Conflict of Interest Disclosures: None reported.

Figures

Figure
Figure. Bimonthly Process Metric Attainment Before and After Enhanced Recovery After Surgery (ERAS) Program Implementation
Data are standardized to the month of implementation in each facility for mobility (A), nutrition (B), and pain control or sedation (C). Each point represents mean values during a 2-month period; data from the implementation month (month zero) are not included. Top rows represent ERAS colorectal resection (blue lines) and comparator (gray lines) groups; bottom rows represent ERAS hip fracture repair (orange lines) and comparator (gray lines) groups. The y-axes vary for each plot to improve clarity; percentage changes include a 50% interval, whereas changes in hours include a 25-hour interval.

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