Anesthesia and analgesia
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The relationship between epidural analgesia and cesarean delivery remains controversial. Several studies have documented an association, although others have not. This inconsistency may result from an association between severe labor pain and dystocia. We hypothesized that dystocia causes severe labor pain, such that more epidural medication is required to maintain comfort. We examined the relationship between labor outcome and severe pain, defined by the number of supplemental epidural boluses. We retrospectively reviewed the anesthesia records of 4493 parturients who received small-dose labor epidural analgesia. An independent association was found between operative delivery and maternal age, body mass index, nulliparity, fetal weight, induction of labor, and the number of boluses required during labor. By using multivariate analysis, the odds ratio of cesarean delivery among women who required at least three boluses was 2.3 compared with those who required two boluses or less. No association was found between the concentration of bupivacaine in the epidural infusion and operative delivery. Because women with cesarean deliveries appeared to have more pain, degree of labor pain may be a confounding factor in studies examining epidural analgesia and outcome. ⋯ This is a retrospective observational study demonstrating an association between labor pain and cesarean delivery. Our results provide an alternative explanation of why epidural analgesia is associated with cesarean delivery.
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Anesthesia and analgesia · Apr 2000
Scheduling surgical cases into overflow block time- computer simulation of the effects of scheduling strategies on operating room labor costs.
"Overflow" block time is operating room (OR) time for a surgical group's cases that cannot be completed in the regular block time allocated to each surgeon in the surgical group. Having such overflow block time increases OR utilization. The optimal way to schedule patients into a surgical group's overflow block time is unknown. In this study, we developed a scheduling strategy that balances the OR manager's need to reduce staffing costs and the needs of patients and surgeons for flexibility in choosing the dates and times of cases. We used computer simulation to evaluate our scheduling strategy. Surgeons and patients (i) can schedule the case into any overflow block within 2 wk; (ii) can only schedule the case into a "first case of the day" start time more than 2 wk in the future if there is not enough open time for the case within 2 wk; (iii) must schedule the case to be done within 4 wk; and (iv) are encouraged to perform the case on the earliest possible date. Staffing costs were lowest when the OR manager did not incorporate surgeon and patient preferences when scheduling cases into overflow block time. The strategy we developed provides surgeons and patients with some flexibility in scheduling, while only increasing OR staffing costs slightly over the minimum achieved when the OR manager controls scheduling. ⋯ The strategy we developed provides surgeons and patients with some flexibility in scheduling, while increasing OR staffing costs only slightly over the minimum achieved when the OR manager controls scheduling. Staffing costs were lowest when the operating room (OR) manager did not incorporate surgeon and patient preferences when scheduling cases into overflow block time.
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Anesthesia and analgesia · Apr 2000
Sequencing cases in the operating room: predicting whether one surgical case will last longer than another.
A microscope will be used for the first case of the day in operating room (OR) 1 and then may be used in the second case of the day by a different surgeon in a different OR, OR 2. Provided that the probability is reasonably high that the first case of the day in OR 2 will last longer than the first case in OR 1, the OR manager can be confident in scheduling the microscope to be used by both surgeons on the same day. The OR manager can use statistical decision theory to sequence cases to decrease the impact of limitations in equipment or personnel on case scheduling. This increases utilization of both the capital equipment and OR time. In this study, we derived equations that can be programmed into a surgical services information system to reliably estimate the probability that one case will have a longer duration than another. We confirmed the accuracy of our method by using actual case duration data. ⋯ Our statistical method uses historical case duration data from an operating room information system to estimate the actual probability to within 1.5% that the second case of a pair will last longer than the first case of a pair.