A Dynamic Marketplace for Distributing Anesthesia Call: A Quality Improvement Initiative.

Anesthesiologists have a significant responsibility to provide care at all hours of the day, including nights, weekends, and holidays. This call burden carries a significant lifestyle constraint that can impact relationships, affect provider wellbeing, and has been associated with provider burnout. This quality improvement study analyzes the effects of a dynamic call marketplace, which allows anesthesiologists to specify how much call they would like to take across a spectrum of hypothetical compensation levels, from very low to very high. The system then determines the market equilibrium price such that every anesthesiologist gets exactly the amount of desired call. A retrospective analysis compared percentage participation in adjusting call burden both pre- and post-implementation of a dynamic marketplace during the years of 2017 to 2023. Additionally, a 2023 post-implementation survey was sent out assessing various aspects of anesthesiologist perception of the new system including work-life balance and job satisfaction. The dynamic call marketplace in this study enabled a more effective platform for adjusting call levels, as there was a statistically significant increase in the percentage of anesthesiologists participating in call exchanged during post- compared to pre-implementation (p < 0.0001). The satisfaction survey suggested agreement among anesthesiologists that the dynamic call marketplace positively affected professional satisfaction and work-life balance. Further, the level of agreement with these statements was most prevalent among middle career stage anesthesiologists (11-20 years as attending physician). The present system may target elements with the capacity to increase satisfaction, particularly among physicians most at risk of burnout within the anesthesia workforce.

A Prospective Randomized Controlled Pilot Simulation Study to Investigate the Effect of Audiovisual Decision Support on Diagnosis and Therapeutic Interventions.

INTRODUCTION: Combining audiovisual decision support during perioperative critical events might enhance provider diagnostic and therapeutic accuracy and efficiency. METHODS: This study is a prospective, randomized controlled pilot trial studying the impact of audiovisual decision support on anesthesia professional performance at NorthShore University HealthSystem's high fidelity simulation center. Twenty anesthesia professionals (>2 years of clinical experience in the current role) were randomized to 2 groups (current care model vs. audiovisual assistance) and underwent 3 periprocedural simulation scenarios, where patient deterioration occurs: anaphylaxis, amniotic fluid embolism, and cardiac arrest during dental case. RESULTS: Overall, there was a statistically significant decrease in the mean and median pooled times to diagnosis in both the amniotic fluid embolism and pediatric dental scenarios. There was a statistically significant increase in the number of participants in the intervention group who made diagnosis 3 before the end of the scene (P = 0.03) in the amniotic fluid embolism case. In the pediatric dental case, there was a statistically significant reduction in the median time to diagnosis 1 and diagnosis 3 in the intervention group versus control (P = 0.01 and P = 0.0002). A significant increase in the number of participants in the intervention group versus control made the correct diagnosis 2 before vital sign change 3 (P = 0.03), and more participants in the intervention group made the correct diagnosis 3 before the end of the scene when compared with control (P = 0.001). The median time to start intervention 2 during the dental case was statistically significantly greater in the intervention group versus the control (P = 0.05). All other endpoints were not statistically significant among the 3 simulation scenarios. Six questions were answered by all participants upon immediate completion of the simulation scenarios and revealed that 19 of 20 participants had delivered anesthesia care to patients similar to the 3 simulation scenarios and 18 of 20 participants reported that they would prefer audiovisual assistance to detect abnormalities in vital signs that subsequently provides appropriate diagnostic and therapeutic options. CONCLUSIONS: This pilot study suggested some significant improvement in anesthesia professional time to correct diagnosis and completion of identification of the correct diagnosis before the next vital change in the audiovisual cue group versus control, particularly in the outpatient dental case. In addition, the mean and median pooled times to diagnosis were significantly reduced by approximately 1 minute in both evaluated simulation scenarios. The postsimulation survey responses also suggest the desirability of an audiovisual decision support tool among the current anesthesia professional participants. However, overall, there were no significant differences in the time to intervention between groups in all simulation scenarios.

A Retrospective Pilot Comparison Trial Investigating Clinical Outcomes in Cardiac Surgical Patients Who Received Sugammadex Reversal During 2018 to 2021.

OBJECTIVES: To compare the number of eligible urgent and elective cardiac surgical patients who could be extubated successfully within 6 hours of surgery and who received sugammadex versus those who did not. DESIGN: This retrospective pilot study compared outcomes in cardiac surgical patients undergoing cardiopulmonary bypass between 2018 to 2021 who received sugammadex versus those who did not. SETTING: At a tertiary-care hospital in the Northshore of Chicago. PARTICIPANTS: A total of 358 elective or urgent cardiac surgical patients who underwent cardiopulmonary bypass (by 1 cardiac surgeon) and were extubated within 24 hours of the end of surgery at Evanston Hospital in Evanston, IL, were included. INTERVENTIONS: Data were examined in the following 2 groups of patients: those who were administered sugammadex and those who were not. MEASUREMENTS AND MAIN RESULTS: After performing propensity matching for age, sex, body mass index, kidney or liver disease, the number of preoperative conditions (defined as the sum of the presence of the following medical conditions: diabetes, immunosuppressive disease, on home oxygen, on inhaled bronchodilator, or sleep apnea), number of patients who underwent elective or urgent surgery in each group, surgery time, cardiopulmonary bypass duration, number of intraoperative blood products, use of intraoperative midazolam and propofol, a statistically significant increase in the percentage of patients in the sugammadex group were extubated within 6 hours of the end of surgery versus those who did not receive sugammadex (96.67% v 81.33%, p = 0.0428). In addition, there was a statistically significant reduction in time to extubation (hours) (4.72 ± 2.92) v (3.57± 1.96 p = 0.0098) in the sugammadex group. All other outcomes did not meet statistical significance. CONCLUSION: This retrospective study suggested that using sugammadex reversal in cardiac surgical patients undergoing cardiopulmonary bypass may result in more patients meeting the Society of Thoracic Surgery benchmark extubation criteria within 6 hours of the end of surgery.

A Quality Improvement Study Designed to Optimize Scheduling Geographic/Site Preferences Among Anesthesia Professionals Utilizing Decision Support Tool Assistance.

This is a quality improvement pilot study comparing percentages of anesthesia professionals receiving their first choice of workplace location both pre-, and post-implementation of an electronic decision support tool for anesthesia-in-charge schedulers. The study evaluates anesthesia professionals who use the electronic decision support tool and scheduling system at four hospitals and two surgical centers within NorthShore University HealthSystem. The subjects in the study are those anesthesia professionals that work at NorthShore University HealthSystem and are subject to being placed in their desired location by anesthesia schedulers who use the electronic decision support tool. The primary author developed the current software system enabling the electronic decision support tool implementation into clinical practice. All anesthesia-in-charge schedulers were educated during a three-week time period via administrative discussions and demonstrations on how to effectively operate the tool in real time. The total numbers and percentage of 1st choice of location selection by anesthesia professionals were summarized each week using interrupted time series Poisson regression. Slope before intervention, slope after intervention, level change, and slope change were all measured over 14-week pre- and post- implementation periods. The level of change (difference in percentage of anesthesia professionals who received their first choice) was statistically (P<0.0001) and clinically significant when comparing the historical cohorts of 2020 and 2021 to the 2022 intervention group weeks. Therefore, the implementation of an electronic decision support scheduling tool resulted in a statistically significant increase in those anesthesia professionals receiving their first-choice workplace location. This study provides the basis for further investigating whether this specific tool may improve anesthesia professional satisfaction within their work-life balance by enhancing workplace geographic/site choice.