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J Surg Res ; 206(2): 363-370, 2016 12.
Article in English | MEDLINE | ID: mdl-27884330

ABSTRACT

BACKGROUND: Surgical outcomes research is limited in areas of the world with the greatest unmet surgical need and likely greatest variation in outcomes. Measurement alone may improve outcomes-the so-called Hawthorne effect. The purpose of this multicenter cohort study was to identify factors that are both feasible to collect and are associated with a major adverse event following a targeted procedure in Cape Town, South Africa. METHODS: A collaborative of four acute care surgical units was formed to develop a data set with minimal data burden describing outcomes after an emergency exploratory laparotomy during a 3-mo period (February-April 2015). Controlling for patient, problem, provider, procedure and process predictors, multivariate models were built to identify risk factors for a major adverse event and higher resource use after surgery in our collaborative. RESULTS: The outcomes of 450 exploratory laparotomies from the four participating hospitals were audited, 319 (70.9%) were for non-trauma and 131 (29.1%) were for trauma. The major adverse event rate was 15.7% (95% CI 12.6-19.4). In the multivariate analysis, factors associated with the primary outcome included age, American Society of Anesthesia score of greater than 2, bowel resection, preoperative CT scan, and a nontherapeutic laparotomy. A major adverse event was associated with all three outcomes assessing increased resource utilization. CONCLUSIONS: This study supports the comparative outcome assessment of a high-volume or high-risk procedure as a proxy for measuring the quality of care provided in a surgical collaborative. Such an exercise can identify opportunities for quality improvement.


Subject(s)
Laparotomy , Postoperative Complications/etiology , Quality Improvement , Quality Indicators, Health Care , Adolescent , Adult , Aged , Aged, 80 and over , Child , Emergencies , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Outcome Assessment, Health Care , Postoperative Complications/epidemiology , Risk Factors , South Africa , Young Adult
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