• Nancy McLaughlin, Peng Jin, and Neil A Martin.
• Department of Neurosurgery, David Geffen School of Medicine at UCLA, Los Angeles, California; and.
• J. Neurosurg. 2015 Jul 1;123(1):198-205.

ObjectReview of morbidities and mortality has been the primary method used to assess surgical quality by physicians, hospitals, and oversight agencies. The incidence of reoperation has been proposed as a candidate quality indicator for surgical care. The authors report a comprehensive assessment of reoperations within a neurosurgical department and discuss how such data can be integrated into quality improvement initiatives to optimize value of care delivery.MethodsAll neurosurgical procedures performed in the main operating room or the outpatient surgery center at the Ronald Reagan UCLA Medical Center and UCLA Santa Monica Medical Center from July 2008 to December 2012 were considered for this study. Interventional radiology and stereotactic radiosurgery procedures were excluded. Early reoperations within 7 days of the index surgery were reviewed and their preventability status was evaluated.ResultsThe incidence of early unplanned reoperation was 2.6% (occurring after 183 of 6912 procedures). More than half of the patients who underwent early unplanned reoperation initially had surgery for shunt-related conditions (34.4%) or intracranial tumor (23.5%). Shunt failure was the most common indication for early unplanned reoperation (34.4%), followed by postoperative bleeding (20.8%) and postoperative elevated intracranial pressure (9.8%). The average time interval (± SD) between the index surgery and reoperation was 3.0 ± 1.9 days. The average length of stay following reoperation was 12.1 ± 14.4 days.ConclusionsThis study enabled an in-depth assessment of reoperations within an academic neurosurgical practice and identification of strategic opportunities for department-wide quality improvement initiatives. The authors provide a nuanced discussion regarding the use of absolute reoperations as a quality indicator for neurosurgical patient populations.

35 keywords...

hide…