Organisational factors and mortality after an emergency laparotomy: multilevel analysis of 39 903 National Emergency Laparotomy Audit patients

Background: Studies across healthcare systems have demonstrated between-hospital variation in survival after an emergency laparotomy. We postulate that this variation can be explained by differences in perioperative process delivery, underpinning organisational structures, and associated hospital characteristics. Methods: We performed this nationwide, registry-based, prospective cohort study using data from the National Emergency Laparotomy Audit organisational and patient audit data sets. Outcome measures were all-cause 30- and 90-day postoperative mortality. We estimated adjusted odds ratios (ORs) for perioperative processes and organisational structures and characteristics by fitting multilevel logistic regression models. Results: The cohort comprised 39 903 patients undergoing surgery at 185 hospitals. Controlling for case mix and clustering, a substantial proportion of between-hospital mortality variation was explained by differences in processes, infrastructure, and hospital characteristics. Perioperative care pathways [OR: 0.86; 95% confidence interval (CI): 0.76-0.96; and OR: 0.89; 95% CI: 0.81-0.99] and emergency surgical units (OR: 0.89; 95% CI: 0.80-0.99; and OR: 0.89; 95% CI: 0.81-0.98) were associated with reduced 30- and 90-day mortality, respectively. In contrast, infrequent consultant-delivered intraoperative care was associated with increased 30- and 90-day mortality (OR: 1.61; 95% CI: 1.01-2.56; and OR: 1.61; 95% CI: 1.08-2.39, respectively). Postoperative geriatric medicine review was associated with substantially lower mortality in older (>70 yr) patients (OR: 0.35; 95% CI: 0.29-0.42; and OR: 0.64; 95% CI: 0.55-0.73, respectively). Conclusions: This multicentre study identified low-technology, readily implementable structures and processes that are associated with improved survival after an emergency laparotomy. Key components of pathways, perioperative medicine input, and specialist units require further investigation.