• Ann M Borzecki, Haytham M A Kaafarani, Garth H Utter, Patrick S Romano, Marlena H Shin, Qi Chen, Kamal M F Itani, and Amy K Rosen.
• Center for Health Quality, Outcomes and Economic Research, Bedford VAMC, Bedford, VA, USA. amb@bu.edu
• J. Am. Coll. Surg. 2011 Jun 1; 212 (6): 935-45.

BackgroundThe Agency for Healthcare Research and Quality Patient Safety Indicator postoperative respiratory failure (PRF) uses administrative data to screen for potentially preventable respiratory failure after elective surgery based on a respiratory failure diagnosis or an intubation or ventilation procedure code. Data on PRF accuracy in identifying true events is scant; a recent study using University HealthSystem Consortium data found a positive predictive value (PPV) of 83%. We examined the indicator's PPV in the Veterans Health Administration.Study DesignWe applied the Patient Safety Indicator software (v.3.1a) to fiscal year 2003-2007 VA discharge data. Trained abstractors reviewed medical records of 112 software-flagged PRF cases. We calculated the PPV and examined false positives to determine reasons for incorrect identification and true positives to determine clinical consequences and potential risk factors of PRF.ResultsSeventy-five cases were true positive (PPV 67%; 95% CI, 57-76%); 13% were identified by a diagnosis code, 53% by a procedure code, 33% by both. Of false positives, 19% represented coding errors, 76% represented nonelective admissions. Of true positives, 28% of patients died, 56% had an American Society of Anesthesiologists level higher than II. Of associated index procedures, 53% were abdominal/pelvic, and 56% lasted >3 hours.ConclusionsBased on our and University HealthSystem Consortium's findings, PRF should continue to be used as a screen for potential patient-safety events. Its PPV could be substantially improved in the Veterans Health Administration through introduction of an admission status code. Many PRF-identified cases appeared to be at high risk, based on patient and procedure-related factors. The degree to which such cases are truly preventable events requires additional assessment.Published by Elsevier Inc.

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