A Statewide Mobile Simulation Program For Improving Obstetric Skills in Rural Hospitals.

BACKGROUND: Closure of rural obstetric (OB) units has led to maternal care deserts, causing mothers to travel long distances for maternity care. Emergency departments (EDs) in hospitals where OB units have closed require regular training for personnel to maintain OB skills, as do rural Level-1 OB units with low volumes of maternity cases. We used a federal grant to develop an OB mobile simulation program to bring simulation-based training to rural providers. Our goal was to improve OB skills and standardize care through the framework of the Alliance for Innovation in Maternal Health (AIM) Patient Safety Bundles. METHODS: We conducted needs assessments and built a mobile simulation unit. We defined 2 groups of learners: those in Level-1 OB units and those in EDs without OB units. For Level-1 OB units, we created a train-the-trainer curriculum, to create a statewide cohort of simulation experts to implement simulations in their facilities between our visits. We gifted each Level-1 unit an OB task trainer, implemented virtual train-the-trainer simulation and task trainer workshops, and conducted post-workshop assessments. We then traveled to each Level-1 unit and helped the cohort implement in situ simulations for their staff using facility-specific resources. We conducted assessments for the cohort and the hospital staff after the simulations. For EDs, we delivered virtual didactics to improve basic OB knowledge, then traveled to ED units, implemented in situ simulations, and conducted post-simulation assessments. We chose a postpartum hemorrhage (PPH) scenario for our first round of simulations. RESULTS: After train-the-trainer simulation workshops, 98% of participants surveyed agreed that workshop goals and objectives were achieved. After the task trainer workshop, 95% surveyed agreed that their knowledge of using the simulator had improved. After implementing in situ simulations in Level-1 OB units, 98.8% of the train-the-trainer cohort found that their ability to implement simulations had improved. The hospital staff participating in the simulations identified a 30% increase in ability to manage PPH. For the ED staff, postdidactic evaluations identified that 95.4% of participants reported moderate improvement in basic OB knowledge and after participation in the simulations >95% reported better skills as an ED team member when caring for pregnant patients. CONCLUSIONS: These results demonstrate improved skills of hospital staff in simulated PPH in Level-1 OB units and simulated OB emergencies in EDs that no longer have OB units. Further studies are warranted to assess improvement in maternal outcomes.

Pioneering the Integration of Artificial Intelligence in Medical Oral Board Examinations.

We evaluated the use of ChatGPT-4, an advanced artificial intelligence (AI) language model, in medical oral examinations, specifically in anesthesiology. Initially proven adept in written examinations, ChatGPT-4's performance was tested against oral board sample sessions of the American Board of Anesthesiology. Modifications were made to ensure responses were concise and conversationally natural, simulating real patient consultations or oral examinations. The results demonstrate ChatGPT-4's impressive adaptability and potential in oral board examinations as a training and assessment tool in medical education, indicating new avenues for AI application in this field.

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.

Lack of Benefit of Adjusting Adaptively Daily Invitations for the Evaluation of the Quality of Anesthesiologists' Supervision and Nurse Anesthetists' Work Habits.

Introduction Whenever a department implements the evaluation of professionals, a reasonable operational goal is to request as few evaluations as possible. In anesthesiology, evaluations of anesthesiologists (by trainees) and nurse anesthetists (by anesthesiologists) with valid and psychometrically reliable scales have been made by requesting daily evaluations of the ratee's performance on the immediately preceding day. However, some trainees or nurse anesthetists are paired with the same anesthesiologist for multiple days of the same week. Multiple evaluations from the same rater during a given week may contribute little incremental information versus one evaluation from that rater for the week. We address whether daily evaluation requests could be adjusted adaptively to be made once per week, hopefully substantively reducing the number of evaluation requests. Methods Every day since 1 July 2013 at the studied department, anesthesia residents and fellows have been requested by email to evaluate anesthesiologists' quality of supervision provided during the preceding day using the De Oliveira Filho supervision scale. Every day since 29 March 2015, the anesthesiologists have been requested by email to evaluate the work habits of the nurse anesthetists during the preceding day. Both types of evaluations were made for interactions throughout the workday together, not for individual cases. The criterion for an electronic request to be sent is that the pair worked together for at least one hour that day. The current study was performed using evaluations of anesthesiologists' supervision and nurse anesthetists' work habits through 30 June 2023. Results If every evaluation request were completed by trainees on the same day it was requested, trainees would have received 13.5% fewer requests to evaluate anesthesiologists (9367/69,420), the maximum possible reduction. If anesthesiologists were to do the same for their evaluations of nurse anesthetists, the maximum possible reduction would be 7.1% fewer requests (4794/67,274). However, because most evaluations were completed after the day of the request (71%, 96,451/136,694), there would be fewer requests only if the evaluation were completed before or on the day of the next pairing. Consequently, in actual practice, there would have been only 2.4% fewer evaluation requests to trainees and 1.5% fewer to anesthesiologists, both decreases being significantly less than 5% (both adjusted P <0.0001). Among the trainees' evaluations of faculty anesthesiologists, there were 1.4% with very low scores, specifically, a mean score of less than three out of four (708/41,778). Using Bernoulli cumulative sum (CUSUM) among successive evaluations, 72 flags were raised over the 10 years. Among those, there were 36% with more than one rater giving an exceptionally low score during the same week (26/72). There were 97% (70/72) with at least one rater contributing more than one score to the recent cumulative sum. Conclusion Conceptually, evaluation requests could be skipped if a rater has already evaluated the ratee that week during an earlier day working together. Our results show that the opportunity for reductions in evaluation requests is significantly less than 5%. There may also be impaired monitoring for the detection of sudden major decreases in ratee performance. Thus, the simpler strategy of requesting evaluations daily after working together is warranted.

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.

Using Simulation to Improve and Maintain Obstetrical Skills in Rural Hospitals.

Rural obstetric providers have differing educational needs, compared with those in large urban settings based on challenges faced when delivering maternal health care. There are 2 groups of rural obstetric providers, those with and without previous obstetric training, which dictates for each group, differing goals for skills improvement and maintenance. Training in rural hospitals should focus on infrequent high-risk events, constrained by systems deficiencies, all which are ideally addressed with in-situ simulation. Using a mobile simulation approach, visiting each facility with a single set of high-fidelity equipment and experts seems a cost-effective way to provide education to rural obstetric providers.

Comparison of Percentage Prolonged Times to Tracheal Extubation Between a Japanese Teaching Hospital and One in the United States, Without and With a Phase I Postanesthesia Care Unit.

BACKGROUND: Prolonged times to tracheal extubation are those from end of surgery (dressing on the patient) to extubation 15 minutes or longer. They are so long that others in the operating room (OR) generally have exhausted whatever activities can be done. They cause delays in the starts of surgeons' to-follow cases and are associated with longer duration workdays. Anesthesiologists rate them as being inferior quality. We compare prolonged times to extubation between a teaching hospital in the United States with a phase I postanesthesia care unit (PACU) and a teaching hospital in Japan without a PACU. Our report is especially important during the coronavirus disease 2019 (COVID-19) pandemic. Anesthesiologists with some patients undergoing general anesthetics and having initial PACU recovery in the ORs where they had surgery can learn from the Japanese anesthesiologists with all patients recovering in ORs. METHODS: The historical cohort study included all patients undergoing gynecological surgery at a US hospital (N = 785) or Japanese hospital (N = 699), with the time from OR entrance to end of surgery of at least 4 hours. RESULTS: The mean times from end of surgery to OR exit were slightly longer at the US hospital than at the Japanese hospital (mean difference 1.9 minutes, P < .0001). The mean from end of surgery to discharge to surgical ward at the US hospital also was longer (P < .0001), mean difference 2.2 hours. The sample standard deviations of times from end of surgery until tracheal extubation was 40 minutes for the US hospital versus 4 minutes at the Japanese hospital (P < .0001). Prolonged times to tracheal extubation were 39% of cases at the US hospital versus 6% at the Japanese hospital; relative risk 6.40, 99% confidence interval (CI), 4.28-9.56. Neither patient demographics, case characteristics, surgeon, anesthesiologist, nor anesthesia provider significantly revised the risk ratio. There were 39% of times to extubation that were prolonged among the patients receiving neither remifentanil nor desflurane (all such patients at the US hospital) versus 6% among the patients receiving both remifentanil and desflurane (all at the Japanese hospital). The relative risk 7.12 (99% CI, 4.59-11.05) was similar to that for the hospital groups. CONCLUSIONS: Differences in anesthetic practice can facilitate major differences in patient recovery soon after anesthesia, useful when the patient will recover initially in the OR or if the phase I PACU is expected to be unable to admit the patient.

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.

Unintentionally Retained Guidewires: A Descriptive Study of 73 Sentinel Events.

BACKGROUND: Unintentionally retained foreign objects remain the sentinel events most frequently reported to The Joint Commission. Many of these objects are guidewires used to facilitate placement of catheters, tubes, and other devices. The purpose of this study was to describe reports of unintentionally retained guidewires in order to make recommendations to improve patient safety. METHODS: A retrospective review was undertaken of unintentionally retained guidewires voluntarily reported to The Joint Commission from October 2012 through March 2018. Reports included the type of catheter or device, location of insertion, department, contributing factors, discovery period, patient harm, and a narrative description of the event. RESULTS: A total of 73 reports of retained guidewires or parts of guidewires were reviewed. Retention occurred during insertion of vascular catheters, devices used during surgery, and drainage tubes. A total of 285 contributing factors were identified, most frequently within the categories of human factors, leadership, and communication. In the cases in which the discovery period was known, 39.3% were identified after hospital discharge. In 76.7% of reports, the harm was categorized as unexpected additional care or extended stay. Four patients died as a result of the retained guidewire. CONCLUSION: Unintentionally retained guidewires remain a significant patient safety issue. This study describes retained guidewires used to insert a variety of vascular catheters and devices, in different departments within hospitals. The large number of contributing factors demonstrates the complexity of care and provides new knowledge that can be used for designing interventions for prevention.

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.

Large Variability in the Diversity of Physiologically Complex Surgical Procedures Exists Nationwide Among All Hospitals Including Among Large Teaching Hospitals.

BACKGROUND: Multiple previous studies have shown that having a large diversity of procedures has a substantial impact on quality management of hospital surgical suites. At hospitals with substantial diversity, unless sophisticated statistical methods suitable for rare events are used, anesthesiologists working in surgical suites will have inaccurate predictions of surgical blood usage, case durations, cost accounting and price transparency, times remaining in late running cases, and use of intraoperative equipment. What is unknown is whether large diversity is a feature of only a few very unique set of hospitals nationwide (eg, the largest hospitals in each state or province). METHODS: The 2013 United States Nationwide Readmissions Database was used to study heterogeneity among 1981 hospitals in their diversities of physiologically complex surgical procedures (ie, the procedure codes). The diversity of surgical procedures performed at each hospital was quantified using a summary measure, the number of different physiologically complex surgical procedures commonly performed at the hospital (ie, 1/Herfindahl). RESULTS: A total of 53.9% of all hospitals commonly performed <10 physiologically complex procedures (lower 99% confidence limit [CL], 51.3%). A total of 14.2% (lower 99% CL, 12.4%) of hospitals had >3-fold larger diversity (ie, >30 commonly performed physiologically complex procedures). Larger hospitals had greater diversity than the small- and medium-sized hospitals (P < .0001). Teaching hospitals had greater diversity than did the rural and urban nonteaching hospitals (P < .0001). A total of 80.0% of the 170 large teaching hospitals commonly performed >30 procedures (lower 99% CL, 71.9% of hospitals). However, there was considerable variability among the large teaching hospitals in their diversity (interquartile range of the numbers of commonly performed physiologically complex procedures = 19.3; lower 99% CL, 12.8 procedures). CONCLUSIONS: The diversity of procedures represents a substantive differentiator among hospitals. Thus, the usefulness of statistical methods for operating room management should be expected to be heterogeneous among hospitals. Our results also show that "large teaching hospital" alone is an insufficient description for accurate prediction of the extent to which a hospital sustains the operational and financial consequences of performing a wide diversity of surgical procedures. Future research can evaluate the extent to which hospitals with very large diversity are indispensable in their catchment area.

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.

Effect of mannitol and furosemide on plasma osmolality and brain water.

BACKGROUND: Mannitol and furosemide are used to reduce increased intracranial pressure (ICP) and to reduce brain bulk during neurosurgery. One mechanism by which these changes might occur is via a reduction in brain water content. Although mannitol and furosemide are commonly used in combination, there has been no formal evaluation of the interactive effects of these two drugs on brain water. The effect of mannitol and furosemide alone and in combination on water content of normal rat brain was examined. METHODS: The lungs of rats anesthetized with halothane were mechanically ventilated to maintain normal physiologic parameters. After baseline measurement of plasma osmolality, mannitol (1, 4, or 8 g/kg), furosemide (2, 4, or 8 mg/kg), or a combination of furosemide (8 mg/kg) and mannitol (1, 4, or 8 g/kg) was administered intravenously over approximately 15 min. One hour later, plasma osmolality was measured, the animals were killed, and brain water content was determined by wet and dry weight measurements. RESULTS: Mannitol produced a dose-dependent increase in plasma osmolality and reduction of brain water content. There was a linear relation between plasma osmolality and brain water content. Furosemide alone did not affect plasma osmolality or brain water at any dose. The combination of furosemide with mannitol resulted in a greater increase in plasma osmolality than seen with mannitol alone and a greater decrease in brain water at 4 and 8 g/kg of mannitol. CONCLUSIONS: The doses of mannitol and furosemide utilized were much larger than clinically applicable doses and were selected to maximize the ability to detect effect on brain water. The combination of mannitol and furosemide resulted in greater reduction of brain water content than did mannitol alone. Furosemide enhanced the effect of mannitol on plasma osmolality, resulting in a greater reduction of brain water content. Potential interaction (if any) of smaller, clinically used doses of mannitol and furosemide cannot be surmised from the current study.