Factors associated with adverse events after emergency laparotomy in Cape Town, South Africa: identifying opportunities for quality improvement

J Surg Res. 2016 Dec;206(2):363-370. doi: 10.1016/j.jss.2016.08.025. Epub 2016 Aug 11.

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.

Keywords: Gastrointestinal; Global Surgery; Quality Improvement; Trauma.

Publication types

  • Clinical Trial
  • Multicenter Study

MeSH terms

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