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Jt Comm J Qual Patient Saf ; 43(3): 138-145, 2017 03.
Article in English | MEDLINE | ID: mdl-28334592

ABSTRACT

BACKGROUND: The metric "Unplanned returns to operating room (ROR)" is being tracked in surgical quality dashboards; 70% of unplanned RORs may be related to surgical complications. With increasing regionalization of trauma and complex surgical care at tertiary care academic centers, it is unclear if a simple ROR metric is a valid assessment of surgical quality at such centers. METHOD: A real-time electronic tool was used to identify all RORs-planned and unplanned-in a high-volume, high-complexity academic surgical practice at Mayo Clinic-Rochester within 45 days of the index operation. Analysis by ROR type and indication was performed. RESULTS: During the analysis period (June 2014-February 2015) 44,031 operations were performed, with 5,552 subsequent RORs (13%). Of all RORs, 51% (n = 2,818) were planned staged returns, 29% (n = 1,589) were unrelated, 15% (n = 830) were unplanned and 6% (n = 315) were planned because of previous complications. Overall, unplanned reoperations were uncommon (n = 830, 2% of all operations). The most common indications for unplanned RORs included "other" (32%, n = 266), bleeding related (24%, n = 198) and wound complications (20%, n = 166). CONCLUSION: In a high-volume, high-complexity academic surgical practice, RORs occurred after 13% of cases. Unplanned returns were infrequent and usually were associated with complications; most RORs were planned staged or unrelated returns. A simple ROR metric that does not consider planned/unrelated returns is likely not a valid surgical quality measure. Electronic tools designed specifically to identify in real-time RORs, associated indication, and clinical validation should provide more reliable data for public reporting and quality improvement efforts.


Subject(s)
Information Systems/organization & administration , Perioperative Period , Quality Improvement/statistics & numerical data , Reoperation/statistics & numerical data , Tertiary Healthcare/statistics & numerical data , Academic Medical Centers , Documentation , Humans , Operating Rooms/organization & administration , Postoperative Complications/epidemiology , Risk Factors
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