Long-term capacity planning for obstetric surgical suites using quantile linear regression.

Obstetric surgical suites differ from most inpatient surgical suites, serving one specialty, and often small. We evaluated long-term capacity planning for these operating rooms. The retrospective cohort study included all caesarean births in three operating rooms over 28 years, 1994 through 2021, plus all other obstetric procedures over the latter 19 years. We calculated the obstetric anaesthesia activity index, 0.5 × neuraxial labour analgesia placement + 1.0 × caesarean births. Annual caesarean births from one year to the next had a Pearson linear correlation coefficient of 0.993. Therefore, linear regression can be used for long-term capacity planning. However, the difference between 0.9 and 0.1 quantiles in weekly caseloads was greater than tenfold larger than the annual rate of growth in births per week. Therefore, clinicians likely would be unable to distinguish, by experience, between growth versus being busy due to variability, suggesting value of the modelling. Over 19 years, the fraction of the obstetric workload from caesarean births was unchanging, Pearson correlation coefficient of 0.04. Therefore, use of the obstetric anaesthesia activity index to judge changes in workload was appropriate. The annual total for the index increased linearly, Pearson correlation coefficient of 0.98, supporting validity of the finding that long-term capacity can be planned with linear regression. The difference between 0.9 and 0.1 quantiles in weekly totals of the index exceeded annual rate of growth, supporting validity of the finding that variability week to week is very large relative to growth. These results help decision-makers ensure that operating rooms and staff meet referring hospitals' needs.

Patients in Iowa Counties Lacking Hospitals With Labor and Delivery Services Disproportionately Receive Care at Level III Maternal Care Hospitals When Undergoing Cesarean Delivery: A Retrospective Longitudinal Study.

Introduction Many obstetrical patients from rural areas in the United States lack hospitals that provide labor and delivery care. Our objective was to examine the effects of such patients on caseloads of cesarean deliveries at Iowa hospitals with level III maternal care, as defined by the Iowa Department of Public Health (e.g., with obstetric anesthesiologists). Methods This retrospective longitudinal study included every discharge with cesarean delivery in the state of Iowa from October 2015 through June 2021. There were N=60,534 such deliveries from 76 hospitals, of which three were level III, and the rest were level I or II. Poisson regression models with robust variance estimation and controlling for geography, maternal risk factors, and insurance, were used to evaluate the binary outcome of whether patients received care at the university level III hospital in Eastern Iowa, or not. Similar models were also developed for care at the two private level III hospitals in Central Iowa, or not. Differences in the mean probabilities of receiving care at the level III hospitals were then estimated using logistic regression, with results reported in units of changes in cases per week at the hospitals. Results Statewide, the university level III hospital performed 7.4% of the cesarean deliveries, and the two private level III hospitals performed 23.4%. Patients from counties in which no cesarean deliveries were performed during the quarter of the year when they underwent a cesarean delivery disproportionately received care at level III hospitals versus levels I and II hospitals. Lower 99% confidence limits for incremental risk ratios were 1.46 and 4.20, respectively. Cesarean deliveries among patients residing in counties where no hospital had a labor and delivery ward were distributed unequally between the counties of the hospitals with level III maternal care. There were approximately 1.09 (standard error 0.10) extra cesarean deliveries per week at the university hospital versus 5.81 (standard error 0.11) at the private hospitals. The 1.09 vs 5.81 difference was caused, in part, by the effects of insurance and other hospitals with similar services. Conclusions Patients residing in counties without labor and delivery care disproportionately go to level III hospitals. These results can help anesthesiologists, obstetricians, and analysts at hospitals with large tertiary (level III) programs interpret their annual increases in total obstetric anesthesia activity.

Case Series of Adaptive Changes in Clinical Practice and Trainee Education for Cesarean Delivery due to Drug Shortages of 0.75% Hyperbaric Bupivacaine in 2018.

Hyperbaric bupivacaine, the local anesthetic routinely selected for single-injection spinal anesthesia for cesarean delivery (CD), was in short supply in 2018. Hospital stocks were significantly less than before and after the shortage period. We developed a contingency plan to communicate with pharmacy and retrieve, restrict, and reallocate remaining stocks of drug to continue performing CD under neuraxial anesthesia, specifically spinal anesthesia for emergency CD, when time appropriate. Retrospective chart review revealed that elective and emergency CDs were performed without delays or increase in rate of general anesthesia during this period. However, trainees had fewer opportunities to perform spinal anesthesia for CD.

Time to recovery after general anesthesia at hospitals with and without a phase I post-anesthesia care unit: a historical cohort study.

PURPOSE: There is little knowledge about how hospitals can best handle disruptions that reduce post-anesthesia care unit (PACU) capacity. Few hospitals in Japan have any PACU beds and instead have the anesthesiologists recover their patients in the operating room. We compared postoperative recovery times between a hospital with (University of Iowa) and without (Shin-yurigaoka General Hospital) a PACU. METHODS: This historical cohort study included 16 successive patients undergoing laparoscopic gynecologic surgery with endotracheal intubation for general anesthesia, at each of the hospitals, and with the hours from OR entrance until the last surgical dressing applied ≥ two hours. Postoperative recovery times, defined as the end of surgery until leaving for the surgical ward, were compared between the hospitals. RESULTS: The median [interquartile range] of recovery times was 112 [94-140] min at the University of Iowa and 22 [18-29] min at the Shin-yurigaoka General Hospital. Every studied patient at the University of Iowa had a longer recovery time than every such patient at Shin-yurigaoka General Hospital (Wilcoxon-Mann-Whitney, P < 0.001). The ratio of the mean recovery times was 4.90 (95% confidence interval [CI], 4.05 to 5.91; P < 0.001) and remained comparable after controlling for surgical duration (5.33; 95% CI, 3.66 to 7.76; P < 0.001). The anesthetics used in the Iowa hospital were a volatile agent, hydromorphone, ketorolac, and neostigmine compared with the Japanese hospital where bispectral index monitoring and target-controlled infusions of propofol, remifentanil, acetaminophen, and sugammadex were used. CONCLUSIONS: This knowledge can be generally applied in situations at hospitals with regular PACU use when there are such large disruptions to PACU capacity that it is known before a case begins that the anesthesiologist likely will need to recover the patient (i.e., when there will not be an available PACU bed and/or nurse). The Japanese anesthesiologists have no PACU labour costs but likely greater anesthesia drug/monitor costs.

At all hospitals in the State of Iowa over a decade, the number of cases performed during weekends or holidays increased approximately proportionally to the total caseload.

STUDY OBJECTIVE: We tested the hypothesis that over many years - a decade - hospitals' proportions of surgical cases that were performed on weekends and holidays remained stable. DESIGN: Retrospective cohort study. SETTING: Iowa Hospital Association data were from January 1, 2007, through June 30, 2017. The N = 42 hospitals included were those with at least 10 cases performed during holidays or weekends for each of the periods. MEASUREMENTS: The number of surgical cases performed at each hospital during each of the 21 half-year periods was considered the count of unique combinations of hospital, patient, and date with at least one major therapeutic procedure. MAIN RESULTS: Absolute predictive errors in cases per weekend or holiday day were calculated using a proportional model and using a quadratic model for each hospital and half-year period. Pooling among hospitals, the sample mean absolute predictive errors were greater for the proportional model than for the quadratic model (P < 0.0001). However, the mean difference was just 0.0027 cases per weekend or holiday day (SE 0.0001), significantly less than even 1 case per day (P < 0.0001). The sample means of the pairwise differences in predictive errors were smaller than 1 case per day for all 42 hospitals, significantly so for 41 of the 42 hospitals (P ≤ 0.005). These conditions applied to all other hospitals in the state, because each performed few cases on weekends and holidays. CONCLUSIONS: For the anesthesia group caring for patients at a hospital over several years, weekend and holiday anesthesia caseload should be expected to increase approximately proportionately to changes during regular workdays. Average weekend workload can be benchmarked using hospitals' percentages of operating room cases performed on weekends and holidays.

Mean operating room times differ by 50% among hospitals in different countries for laparoscopic cholecystectomy and lung lobectomy.

We explored whether there were large differences in operating room (OR) times for two common procedures performed by multiple surgeons at each of several hospitals thousands of miles apart. Mean OR time, "wheels in" to "wheels out," for ten consecutive cases of each of laparoscopic cholecystectomy and lung lobectomy were obtained for each of ten hospitals in eight countries from their OR logs. After log transformation, the OR times were analyzed by analysis of variance. Mean OR times differed significantly among hospitals (P = 0.006, laparoscopic cholecystectomy; P < 0.001, lung lobectomy). The second longest average OR time was 50% longer than the second shortest average OR time for both laparoscopic cholecystectomy and lung lobectomy. Differences in OR times among the hospitals we studied were large enough to affect the productivity of OR nurses and anesthesia providers. Thus, international benchmarking studies to understand differences in OR times worldwide may be beneficial.