Objective: To evaluate whether adherence to evidence-based best practices in colorectal surgery predicts improved postoperative outcomes.

Summary And Background Data: Over a quarter of a million colon and rectal resections are performed annually in the United States. The average postoperative complication rate for these procedures approaches 30%.

Methods: A panel of colorectal and general surgeons from 3 hospitals (1 academic medical center and 2 community hospitals) was assembled to ascertain a set of 37 evidence-based practices that they felt were the most pertinent to the evaluation and management of a patient undergoing a colorectal resection. Fifteen of these practices were classified as “key processes” for the prevention of complications. We then retrospectively reviewed medical records for 370 consecutive patients undergoing colorectal resection at these institutions. We evaluated the association of best-practice adherence to complications in the subset of patients with outcome data available through the American College of Surgeons National Surgical Quality Improvement Program.

Results: Nonadherence rates exceeded 40% for 11 practices (including 2 key processes: avoidance of unnecessary blood transfusions and timely removal of central venous catheters). Among 198 patients with American College of Surgeons National Surgical Quality Improvement Program outcomes data, 38 (19%) experienced complications, of which 31 (82%) involved postoperative infection. Nonadherence to key-processes significantly predicted the occurrence of a complication (P = 0.002). Each additional process missed increased the odds of a postoperative complication by 60% (odds ratio: 1.6; 95% confidence interval: 1.2–2.2).

Conclusions: Failures of adherence with best practices in colorectal surgery is associated with an increased occurrence of complications. This study merits further research to confirm that improvement in compliance with perioperative best practices will reduce complication rates significantly.

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http://dx.doi.org/10.1097/SLA.0b013e3181b672bcDOI Listing

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