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Resource and cost constraints in hospitals demand thorough planning of operating room schedules. Ideally, exact start times and durations are known in advance for each case. However, aside from the first case’s start, most factors are hard to predict. While the role of the start of the first case for optimal room utilization has been shown before, data for to-follow cases are lacking. The present study therefore aimed to analyze all elective surgery cases of a university hospital within 1 year in search of visible patterns. A total of 14,014 cases scheduled on 254 regular working days at a university hospital between September 2015 and August 2016 underwent screening. After eliminating 112 emergencies during regular working hours, 13,547 elective daytime cases were analyzed, out of which 4,346 ranked first, 3,723 second, and 5,478 third or higher in the daily schedule. Also, 36% of cases changed start times from the day before to 7:00 a.m., with half of these (52%) resulting in a delay of more than 15 min. After 7:00 a.m., 87% of cases started more than 10 min off schedule, with 26% being early and 74% late. Timeliness was 15 ± 72 min (mean ± SD) for first, 21 ± 84 min for second, and 25 ± 93 min for all to-follow cases, compared to preoperative day planning, and 21 ± 45, 23 ± 61, and 19 ± 74 min compared to 7:00 a.m. status. Start time deviations were also related to procedure duration, with cases of 61–90 min duration being most reliable (deviation 9.8 ± 67 min compared to 7:00 a.m.), regardless of order. In consequence, cases following after 61–90 min long cases had the shortest deviations of incision time from schedule (16 ± 66 min). Taken together, start times for elective surgery cases deviate substantially from schedule, with first and second cases falling into the highest mean deviation category. Second cases had the largest deviations from scheduled times compared to first and all to-follow cases. While planned vs. actual start times differ among specialties, cases of 61–90 min duration had the most reliable start times, with neither shorter nor longer cases seeming to improve timeliness of start times.
Abstract
Aim
This study analysed the comparative cost of feeding donor human milk to preterm infants compared to mother's own milk and formula.
Methods
A document and process analysis and a time measurement study were carried out at the milk bank of the Level 1 Perinatal Center of the University Hospital of Greifswald, Germany, from April to June 2017. The cost analysis data were provided by the University's financial department.
Results
The total cost per year was €92 085.02 for 300 litres of donor human milk: 27% of this was material costs, 51% was personnel costs, and 22% was other overheads. The average cost per litre was €306.95, and staff time was 492 minutes per litre. The total marginal cost for each additional litre of donor human milk, formula or unpasteurised mother´s milk was €82.88, €10.28 and €38.42, respectively. Pasteurising a litre of donor milk cost €3.51.
Conclusion
Providing preterm infants with donor milk was much more expensive than using formula or mother's own milk, but the cost of pasteurisation was minimal.