Enteroliths are a rare complication of Meckel's diverticula, with perforation of the diverticulum being an even rarer occurrence. Bowel obstruction secondary to a Meckel's enterolith, albeit uncommon, occurs due to inflammation, intussusception, or impaction after extrusion from the diverticulum. We report an unusual case of Meckel's enterolithiasis causing perforation and bowel obstruction.

The use of low-dose COX-2 inhibitor over a short period of time decreases the paralytic ileus rates and does not cause any significant morbidity.

No abstract

No abstract

Background The Lyell McEwin Hospital entered into a public–private collaborative agreement in 2019 in order to access Da Vinci® Xi Surgical Systems (Intuitive Surgical, Sunnyvale, CA, USA) in private hospitals. This study aimed to examine the costs associated with usage of robot surgical systems under the agreement, and the potential for acquisition in the public hospital. Methods Retrospective data on robotic‐assisted and equivalent operations performed between 1 May 2019 and 30 April 2020 were collected and formed subsequent model inputs. Cost data were from hospital records and the local Da Vinci® Xi distributor. Clinical workflow of operations was simulated with a decision‐analytic model, with output being costs incurred. The model's base case scenario assumed 5% of cases were robotically assisted. Results A total of 35 robotic‐assisted, 101 laparoscopic and 34 open operations were performed. Patients were predominantly male and overweight with multiple comorbidities. Length of stay and duration of operation were associated with increased costs (p < 0.001, r2 0.72). In the base case scenario, there was a cost of AU$26 424 per patient, with an open conversion rate of 11%. Increasing robotic‐assisted case percentage resulted in reduced cost, open conversion rates and length of stay. Extrapolation of cost model data indicated if 50% were robotic‐assisted cases, then the initial capital investment (assumed at AU$4 000 000) could be recovered in 10 years. Conclusion Our model highlights potential advantages of performing greater numbers of robotic‐assisted operations in a collaborative environment. Cost‐effective analysis with prospective data could evaluate if these results are translatable and potentially support acquisition of robotic systems in the public sector.