Larger anesthesia practitioner per operating room ratios are needed to prevent unnecessary non-operative time than to mitigate patient risk: A narrative review.

When choosing the anesthesia practitioner to operating room (OR) ratio for a hospital, objectives are applied to mitigate patient risk: 1) ensuring sufficient anesthesiologists to meet requirements for presence during critical intraoperative events (e.g., anesthesia induction) and 2) ensuring sufficient numbers to cover emergencies outside the ORs (e.g., emergent reintubation in the post-anesthesia care unit). At a 24-OR suite with each anesthesiologist supervising residents in 2 ORs, because critical events overlapped among ORs, ≥14 anesthesiologists were needed to be present for all critical events on >90% of days. The suitable anesthesia practitioner to OR ratio would be 1.58, where 1.58 = (24 + 14)/24. Our narrative review of 22 studies from 17 distinct hospitals shows that the practitioner to OR ratio needed to reduce non-operative time is reliably even larger. Activities to reduce non-operative times include performing preoperative evaluations, making prompt evidence-based decisions at the OR control desk, giving breaks during cases (e.g., lunch or lactation sessions), and using induction and block rooms in parallel to OR cases. The reviewed articles counted the frequency of these activities, finding them much more common than urgent patient-care events. Our review shows, also, that 1 anesthesiologist per OR, working without assistants, is often more expensive, from a societal perspective, than having a few more anesthesia practitioners (i.e., ratio > 1.00). These results are generalizable among hundreds of hospitals, based on managerial epidemiology studies. The implication of our narrative review is that existing studies have already shown, functionally, that artificial intelligence and monitoring technologies based on increasing the safety of intraoperative care have little to no potential to influence anesthesia or OR productivity. There are, in contrast, opportunities to use sensor data and decision-support to facilitate communication among anesthesiologists outside of ORs to choose optimal task sequences that reduce non-operative times, thereby increasing production and OR efficiency.

Preventing Prolonged Times to Awakening While Mitigating the Risk of Patient Awareness: Gas Man Computer Simulations of Sevoflurane Consumption From Brief, High Fresh Gas Flow Before the End of Surgery.

Prolonged times to tracheal extubation are associated with adverse patient and economic outcomes. We simulated awakening patients from sevoflurane after long-duration surgery at 2% end-tidal concentration, 1.0 minimum alveolar concentration (MAC) in a 40-year-old. Our end-of-surgery target was 0.5 MAC, the Michigan Awareness Control Study's threshold for intraoperative alerts. Consider an anesthetist who uses a 1 liter/minute gas flow until surgery ends. During surgical closure, the inspired sevoflurane concentration is reduced from 2.05% to 0.62% (i.e., MAC-awake). The estimated time to reach 0.5 MAC is 28 minutes. From a previous study, 28 minutes exceeded ≥95% of surgical closure times for all 244 distinct surgical procedures (N=23,343 cases). Alternatively, the anesthetist uses 8 liters/minute gas flow with the vaporizer at MAC-awake for 1.8 minutes, which reduces the end-tidal concentration to 0.5 MAC. The anesthetist then increases the vaporizer to keep end-tidal 0.5 MAC until the surgery ends. An additional simulation shows that, compared with simulated end-tidal agent feedback control, this approach consumed 0.45 mL extra agent. Simulation results are the same for an 80-year-old patient. The extra 0.45 mL has a global warming potential comparable to driving 26 seconds at 40 kilometers (25 miles) per hour, comparable to route modification to avoid potential roadway hazards.

Nasal cannula and face mask gas flow rates when connecting to the Y-piece of the anesthesia circuit.

STUDY OBJECTIVE: To determine the relationship between the delivered gas flows via nasal cannulas and face masks and the set gas flow and the breathing circuit pressure when connecting to the Y-adapter of the anesthesia breathing circuit and using the oxygen blender on the anesthesia machine, relevant to surgery when there is concern for causing a fire. The flow rates that are delivered at various flow rates and circuit pressures have not been previously studied. DESIGN: Laboratory investigation. SETTING: Academic medical center. PATIENTS: None. INTERVENTIONS: The gas flows from each of 3 anesthesia machines from the same manufacturer were systematically increased from 1 to 15 L/min with changes to the adjustable pressure limiting valve to maintain 0-40 cm water pressure in the breathing circuit for nasal cannula testing and at 20-30 cm water circuit pressure for face masks. MEASUREMENTS: The delivered gas flows to the cannula were determined using a float-ball flowmeter for combinations of set gas flows and circuit pressures after connecting the cannula tubing to the Y-piece of the anesthesia circuit via a tracheal tube adapter. Decreasing the supply tubing length on the delivered flow rates was evaluated. MAIN RESULTS: There was a highly linear relationship between the anesthesia circuit pressure and the delivered nasal cannula flow rates, with 0 flow observed when the APL valve was fully open (i.e., 0 cm water). However, even under maximum conditions (40 cm water and 15 L/min), the delivered nasal cannula flow rate was 3.5 L/min. Shortening the 6.5-ft cannula tubing increased the flow at 20 and 30 cm water by approximately 0.12 L/min/ft. The estimated FiO2 assuming a minute ventilation of 5 L/min and 30% FiO2 ranged from 21.7% to 27.0% at nasal cannula flow rates of 0.5 to 4.0 L/min. When using a face mask and the APL fully closed, delivered flow rates were 0.25 L/min less than the set flow rate between 1 and 3 L/min and equal to the set flow rate between 4 and 8 L/min. CONCLUSIONS: When using a nasal cannula adapted to the Y-piece of the anesthesia circuit, the delivery system is linearly dependent on the pressure in the circuit and uninfluenced by the flow rate set on the anesthesia machine. However, only modest flow rates (≤ 3.5 L/min) and a limited increase in the inspired FiO2 are possible when using this delivery method. When using a face mask and the anesthesia circuit, flow rates close to the set flow rate are possible with the APL valve fully closed. Patients scheduled for sedation for head and neck procedures with increased fire risk who require more than a marginal increase in the FiO2 to maintain an acceptable pulse oximetry saturation may need general anesthesia with tracheal intubation.

Lack of Validity of Absolute Percentage Errors in Estimated Operating Room Case Durations as a Measure of Operating Room Performance: A Focused Narrative Review.

Commonly reported end points for operating room (OR) and surgical scheduling performance are the percentages of estimated OR times whose absolute values differ from the actual OR times by ≥15%, or by various intervals from ≥5 to ≥60 minutes. We show that these metrics are invalid assessments of OR performance. Specifically, from 19 relevant articles, multiple OR management decisions that would increase OR efficiency or productivity would also increase the absolute percentage error of the estimated case durations. Instead, OR managers should check the mean bias of estimated OR times (ie, systematic underestimation or overestimation), a valid and reliable metric.

Evaluation of a Course to Teach Medical Students Latent Hazard Identification in the Operating Room.

INTRODUCTION: To improve situational awareness in the operating room (OR), a virtual online operating room of hazards (ROH) with deliberately placed risks was created. We hypothesized that subjects first participating in the virtual online ROH would identify more hazards during an in-person ROH exercise in a physical OR than those in the control group who only received didactic training. METHODS: We conducted a randomized controlled trial at a major academic medical center, enrolling 48 pre-clinical medical students with no previous OR exposure during their classes. Control and experimental group subjects participated in a brief, online didactic orientation session conducted live over Zoom (Zoom Video Communications, Inc., San Jose, CA) to learn about latent hazards in the OR. Experimental group subjects further interacted with a virtual online operating ROH in which latent hazards were present. The fraction of deliberately created latent hazards placed in a physical, in-person OR identified by subjects was calculated. RESULTS: Experimental group subjects identified a significantly larger fraction of the created hazards (41.3%) than the control group (difference = 16.4%, 95% CI: 11.3% to 21.4%, P < 0.0001). There was no difference in the number of non-hazards misidentified as hazards between the groups. CONCLUSIONS: Participation in the virtual online environment resulted in greater recognition of latent operating room hazards during a simulation conducted in a physical, in-person OR than in a didactic experience alone. Because creating an in-room experience to teach the identification of latent hazards in an OR is resource-intensive and requires removing the OR from clinical use, we recommend the virtual online approach described for training purposes. Adding items most misidentified as hazards is suggested for future implementation.

Corrigendum to "Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study" [BJA Open 8 (2023) 100236].

[This corrects the article DOI: 10.1016/j.bjao.2023.100236.].

Bibliometric Analysis of Contributions of Anesthesiology Journals and Anesthesiologists to Operating Room Management Science.

BACKGROUND: Anesthesiology journals appear to have been progressively publishing a smaller percentage of operating room (OR) management studies. Similarly, non-anesthesiologists have increasingly been authors of these publications. Five hypotheses were formulated to evaluate these impressions based on 2 of the authors' curation of an online, comprehensive bibliography of OR management articles and corresponding referenced course materials. METHODS: We studied all 2938 publications having Scopus' SciVal topic T.6319 (OR management) more than 28 years from 1996 through May 2023, including 8608 distinct authors. RESULTS: Half (50%) of the publications were absent from PubMed, and the percentage absent has been increasing progressively (Kendall's τ = 0.71; P < .0001). Fewer than half were published in journals including anesthesiology as the sole classification (20%) or as one of the classifications (27%). The anesthesiology journals have been publishing a progressively decreasing fraction (τ = -0.61; P < .0001). Among the 11 authors each contributing at least 1% of the OR management science publications, 9 were anesthesiologists and the other 2 had anesthesiologists as coauthors on all these publications. Only 3% of authors had at least 10 OR management publications from earlier years. There were 75% of authors with no such earlier publications and 85% with 0 or 1. There was a progressive increase in the number of authors publishing OR management annually and with at most 1 such earlier publication (τ = 0.90; P < .0001). Only 20% of publications had any author with at least 10 earlier OR management publications, 48% had every author with no such earlier publications, and 60% had all authors with 0 or 1. CONCLUSIONS: Although most of the authors with the greatest production of OR management science were anesthesiologists, the percentage of publications in anesthesiology journals has been decreasing progressively. Anesthesiologists cannot rely solely on anesthesiology journals to keep up with the field. For most publications, every author had few or no earlier publications on the topic. Clinicians and managers relying on OR management science will continue to need to apply more information when judging whether published results can reliably be applied to their facilities.

External validation of a predictive model for reintubation after cardiac surgery: A retrospective, observational study.

STUDY OBJECTIVE: Explore validation of a model to predict patients' risk of failing extubation, to help providers make informed, data-driven decisions regarding the optimal timing of extubation. DESIGN: We performed temporal, geographic, and domain validations of a model for the risk of reintubation after cardiac surgery by assessing its performance on data sets from three academic medical centers, with temporal validation using data from the institution where the model was developed. SETTING: Three academic medical centers in the United States. PATIENTS: Adult patients arriving in the cardiac intensive care unit with an endotracheal tube in place after cardiac surgery. INTERVENTIONS: Receiver operating characteristic (ROC) curves and concordance statistics were used as measures of discriminative ability, and calibration curves and Brier scores were used to assess the model's predictive ability. MEASUREMENTS: Temporal validation was performed in 1642 patients with a reintubation rate of 4.8%, with the model demonstrating strong discrimination (optimism-corrected c-statistic 0.77) and low predictive error (Brier score 0.044) but poor model precision and recall (Optimal F1 score 0.29). Combined domain and geographic validation were performed in 2041 patients with a reintubation rate of 1.5%. The model displayed solid discriminative ability (optimism-corrected c-statistic = 0.73) and low predictive error (Brier score = 0.0149) but low precision and recall (Optimal F1 score = 0.13). Geographic validation was performed in 2489 patients with a reintubation rate of 1.6%, with the model displaying good discrimination (optimism-corrected c-statistic = 0.71) and predictive error (Brier score = 0.0152) but poor precision and recall (Optimal F1 score = 0.13). MAIN RESULTS: The reintubation model displayed strong discriminative ability and low predictive error within each validation cohort. CONCLUSIONS: Future work is needed to explore how to optimize models before local implementation.

Association between an anesthesia department development program for junior faculty and long-term production of publications: A longitudinal cohort study.

BACKGROUND: An important mission of academic medical departments is to further the scholarship and education of its junior faculty. In 2013, Hindman et al. described the design and initial outcomes of a faculty development program for junior faculty at the University of Iowa Department of Anesthesia. In the current study, we reassessed whether the program increased the production of publications long-term. We included all department faculty, years before joining the department, and years after leaving the department, to control for the effects of simply being current faculty in the department, benefiting from its resources, and having had progressively more experience working. METHODS: The population studied was the faculty for any period between January 2006 and December 2022. The dependent variable was the count of publications in Scopus each year with the faculty member's Scopus identifier, 1996 through 2022. The two-year faculty development program included non-clinical time, two mentors, defined mentorship plan, didactic program, and financial support for clinical and/or laboratory studies. Statistical analyses were with logistic and Poisson random effect models for panel data, with standard errors estimated using jackknife resampling. RESULTS: Among the 128 distinct faculty in the department from 2006 through 2022, the 10% with the most publications per year accounted for 54% of the total annual publications. The two-year program was completed by 41% (53/128). Completion of the faculty development program was associated with a 17% absolute increase in the predicted marginal probability of one or more publications per year, from 25% to 41%. The 95% confidence interval for the 17% absolute increase was 9% to 24% (P < .0001). The predictive marginal effect of completing the program was 1.7 more publications per year per faculty (95% confidence interval 1.1 to 2.4, P < .0001). The estimate was also 1.7 more publications per year while limiting consideration to the 108 faculty who joined the department after 1996 and including as an independent variable the count of publications the year before joining the department. CONCLUSIONS: A faculty development program for junior faculty can reliably increase the production of publications in an anesthesiology department by at least one per year. However, there is considerable heterogeneity in publication production among faculty.

Validation of a convolutional neural network that reliably identifies electromyographic compound motor action potentials following train-of-four stimulation: an algorithm development experimental study.

Background: International guidelines recommend quantitative neuromuscular monitoring when administering neuromuscular blocking agents. The train-of-four count is important for determining the depth of block and appropriate reversal agents and doses. However, identifying valid compound motor action potentials (cMAPs) during surgery can be challenging because of low-amplitude signals and an inability to observe motor responses. A convolutional neural network (CNN) to classify cMAPs as valid or not might improve the accuracy of such determinations. Methods: We modified a high-accuracy CNN originally developed to identify handwritten numbers. For training, we used digitised electromyograph waveforms (TetraGraph) from a previous study of 29 patients and tuned the model parameters using leave-one-out cross-validation. External validation used a dataset of 19 patients from another study with the same neuromuscular block monitor but with different patient, surgical, and protocol characteristics. All patients underwent ulnar nerve stimulation at the wrist and the surface electromyogram was recorded from the adductor pollicis muscle. Results: The tuned CNN performed highly on the validation dataset, with an accuracy of 0.9997 (99% confidence interval 0.9994-0.9999) and F1 score=0.9998. Performance was equally good for classifying the four individual responses in the train-of-four sequence. The calibration plot showed excellent agreement between the predicted probabilities and the actual prevalence of valid cMAPs. Ten-fold cross-validation using all data showed similar high performance. Conclusions: The CNN distinguished valid cMAPs from artifacts after ulnar nerve stimulation at the wrist with >99.5% accuracy. Incorporation of such a process within quantitative electromyographic neuromuscular block monitors is feasible.

Development and Validation of an Automated Tool to Retrieve and Curate Faculty Publications of Academic Departments.

Introduction Academic departments need to monitor their faculty's academic productivity for various purposes, such as reporting to the medical school dean, assessing the allocation of non-clinical research time, evaluating for rank promotion, and reporting to the Accreditation Council for Graduate Medical Education (ACGME). Our objective was to develop and validate a simple method that automatically generates query strings to identify and process distinct department faculty publications listed in PubMed and Scopus. Methods We created a macro-enabled Excel workbook (Microsoft, Redmond, WA) to automate the retrieval of faculty publications from the PubMed and Scopus bibliometric databases (available at https://bit.ly/get-pubs). Where the returned reference includes the digital object identifier (doi), a link is provided in the workbook. Duplicate publications are removed automatically, and false attributions are managed. Results At the University of Miami, between 2020 and 2021, there were 143 anesthesiology faculty-authored publications with a PubMed identifier (PMID), 95.8% identified by the query and 4.2% missed. At Vanderbilt University Medical Center, between 2019 and 2021, there were 760 anesthesiology faculty-authored publications with a PMID, 94.3% identified by the query and 5.7% missed. Recall, precision, and the F1 score were all above 93% at both medical centers. Conclusions We developed a highly accurate, simple, transportable, scalable method to identify publications in PubMed and Scopus authored by anesthesiology faculty. Manual checking and faculty feedback are required because not all names can be disambiguated, and some references are missed. This process can greatly reduce the burden of curating a list of faculty publications. The methodology applies to other academic departments that track faculty publications.

Associations Between Fresh Gas Flow and Duration of Anesthetic on the Maximum Potential Benefit of Anesthetic Gas Capture in Operating Rooms and in Postanesthesia Care Units to Capture Waste Anesthetic Gas.

BACKGROUND: Sevoflurane and desflurane are halogenated hydrocarbons with global warming potential. We examined the maximum potential benefit assuming 100% efficiency of waste gas capture technology used in operating rooms and recovery locations. METHODS: We performed computer simulations of adult patients using the default settings of the Gas Man software program, including the desflurane vaporizer setting of 9% and the sevoflurane vaporizer setting of 3.7%. We performed 21 simulations with desflurane and 21 simulations with sevoflurane, the count of 21 = 1 simulation with 0-hour maintenance + (1, 2, 3, 4, or 5 hours of maintenance) × (0.5, 1, 2, or 4 L per minute fresh gas flow during maintenance). RESULTS: (1) A completely efficient gas capture system could recover a substantive amount of agent even when the case is managed with low flows. All simulations had at least 22 mL agent recovered per case, considerably greater than the 12 mL that we considered the minimum volume of economic and environmental importance. (2) All 42 simulations had at least 73% recovery of the total agent administered, considerably greater than the median 52% recovery measured during an experimental study with one gas capture technology and desflurane. (3) The maximum percentage desflurane (or sevoflurane) that could be captured decreased substantively with progressively longer duration anesthetics for low-flow anesthetics but not for higher-flow anesthetics. However, for all 8 combinations of drug and liters per minute simulated, there was a substantively greater recovery in milliliters of agent for longer duration anesthetics. In other words, if gas capture could be near perfectly efficient, it would have greater utility per case for longer duration anesthetics. (4) Even using a 100% efficient gas capture process, at most 6 mL liquid desflurane or 3 mL sevoflurane per case would be exhaled during the patient's stay in the postanesthesia care unit. Therefore, the volume of agent exhaled during the first 1 hour postoperatively is not a substantial amount from an environmental and economic perspective to warrant consideration of agent capture by having all these patients in the postanesthesia care unit, or equivalent locations, using the specialized anesthetic gas scavenging masks with access to the hospital scavenging system at each bed. CONCLUSIONS: Simulations with Gas Man show a strong rationale based on agent uptake and distribution for using volatile anesthetic agent capture in operating rooms if the technology can be highly efficient at volatile agent recovery.

Most hospital patients at risk for bacterial infection undergo an anesthetic: implications for infection control practices related to the anesthesia workspace.

PURPOSE: Even with nearly 100% compliance with prophylactic antibiotic protocols, many surgical patients (> 5%) develop surgical site infections, some caused by pathogens transmitted from the anesthesia workspace (e.g., anesthesia machine), including multidrug-resistant Staphylococcus aureus. Reducing contamination of the anesthesia workspace substantively reduces the risk of surgical site infections. We estimated the percentage of hospital patients at risk for health care-associated infections who may benefit from the application of basic preventive measures under the control of anesthesia practitioners (e.g., their hand hygiene). METHODS: We conducted a retrospective cohort study which included every patient admitted to the University of Miami Health System from April 2021 through March 2022 for hospitalization, surgery, emergency department visits, or outpatient visits. Lists were created for the start date and times of every parenteral antibiotic administered and every anesthetic. RESULTS: Among 28,213 patient encounters including parenteral antibiotic(s), more than half (64.3%) also included an anesthetic (99% confidence interval, 62.2 to 66.6). The hypothesis that most antibiotics were administered during encounters when a patient underwent an anesthetic was accepted (P < 0.001). This observation may seem counterintuitive because parenteral antibiotics were administered for fewer than half of the 53,235 anesthetics (34.2%). The result was a consequence of most anesthetics (63.5%) at the health system being conducted in nonoperating room locations, and only 7.2% of such patients received a parenteral antibiotic. CONCLUSIONS: Because approximately two-thirds of patients who receive an intravenous antibiotic also undergo an anesthetic, greater use of effective infection control measures in the anesthesia operating room workspace has the potential to substantively reduce overall rates of hospital infections.

RéSUMé: OBJECTIF: Même avec un respect de près de 100 % des protocoles antibiotiques prophylactiques, bon nombre de patients et patientes en chirurgie (> 5 %) développent des infections du site opératoire, dont certaines sont causées par des agents pathogènes transmis par l'espace de travail anesthésique (p. ex. appareil d'anesthésie), y compris un staphylocoque doré multirésistant. La réduction de la contamination de l'espace de travail anesthésique réduit considérablement le risque d'infections du site opératoire. Nous avons estimé le pourcentage de patientes et patients hospitalisé·es à risque d'infections associées aux soins de santé qui pourraient bénéficier de l'application de mesures préventives de base sous le contrôle de praticiens et praticiennes d'anesthésie (par exemple, leur hygiène des mains). MéTHODE: Nous avons mené une étude de cohorte rétrospective qui comprenait toutes les personnes admises au Système de santé de l'Université de Miami d'avril 2021 à mars 2022 pour une hospitalisation, une intervention chirurgicale, des visites aux urgences ou des consultations externes. Des listes ont été créées pour la date et l'heure de début de chaque antibiotique parentéral administré et de chaque anesthésique. RéSULTATS: Parmi les 28 213 consultations avec les patient·es comprenant des antibiotiques parentéraux, plus de la moitié (64,3 %) comportaient également un anesthésique (intervalle de confiance à 99 %, 62,2 à 66,6). L'hypothèse selon laquelle la plupart des antibiotiques étaient administrés lors de rencontres lorsqu'une personne bénéficiait d'une anesthésie a été acceptée (P < 0,001). Cette observation peut sembler contre-intuitive, car des antibiotiques parentéraux ont été administrés pour moins de la moitié des 53 235 anesthésiques (34,2 %). En effet, la plupart des anesthésies (63,5 %) ont été administrées en dehors de la salle d'opération, et seulement 7,2 % de cette patientèle a reçu un antibiotique parentéral. CONCLUSION: Étant donné qu'environ les deux tiers des patientes et patients qui reçoivent un antibiotique par voie intraveineuse bénéficient également d'une anesthésie, une plus grande utilisation de mesures efficaces de contrôle des infections dans l'espace de travail anesthésique de la salle d'opération pourrait réduire considérablement les taux globaux d'infections hospitalières.

Evaluation of Activated Clotting Times With a Heparin Reversal Protocol Designed to Conserve Protamine During Drug Shortages: A Retrospective, Cohort Study.

OBJECTIVE: To retrospectively evaluate a protamine conservation approach to heparin reversal implemented during times of critical shortages. This approach was aimed at maintaining access to cardiac surgical services. SETTING: In-patient hospital setting. PARTICIPANTS: Eight hundred-one cardiac surgical patients>18 years old. INTERVENTIONS: Patients undergoing cardiac surgery who received >30,000 U of heparin were given a single fixed vial protamine dose of 250 mg or a standard 1 mg of protamine to 100 U of heparin ratio-based dose to reverse heparin. MEASUREMENTS AND MAIN RESULTS: The primary endpoint was differences in post-reversal activated clotting times between the 2 groups. The secondary endpoint was differences in the number of protamine vials used between the 2 reversal strategies. The first activated clotting times values measured after initial protamine administration were not different between the Low Dose and Conventional Dose groups (122.3 s v 120.6 s, 1.47 s, 99% CI -1.47 to 4.94, p = 0.16). The total amount of protamine administered in the Low Dose group was less than that in the Conventional Dose group (-100.5 mg, 99% CI -110.0 to -91.0, p < 0.0001), as were the number of 250 mg vials used per case (-0.69, 99% CI -0.75 to -0.63, p < 0.0001). The mean initial protamine doses between groups were 250 mg and 352 mg, p < 0.0001. The mean protamine vials used were 1.33 v 2.02, p < 0.0001. When the calculations were based on 50 mg vials, the number of vials used per case in the Low Dose group was even less (-2.16, 99% CI -2.36 to -1.97, p < 0.0001).) CONCLUSIONS: Conservation measures regarding critical medications and supplies during times of shortages can maintain access to important services within a community.

Quantifying and Interpreting Inequality in Surgical Site Infections per Quarter Among Anesthetizing Locations and Specialties.

Background Earlier studies have shown that prevention of surgical site infection can achieve net cost savings when targeted to operating rooms with the most surgical site infections. Methodology This retrospective cohort study included all 231,057 anesthetics between May 2017 and June 2022 at a large teaching hospital. The anesthetics were administered in operating rooms, procedure rooms, radiology, and other sites. The 8,941 postoperative infections were identified from International Classification of Diseases diagnosis codes relevant to surgical site infections documented during all follow-up encounters over 90 days postoperatively. To quantify the inequality in the counts of infections among anesthetizing locations, the Gini index was used, with the Gini index being proportional to the sum of the absolute pairwise differences among anesthetizing locations in the counts of infections. Results The Gini index for infections among the 112 anesthetizing locations at the hospital was 0.64 (99% confidence interval = 0.56 to 0.71). The value of 0.64 is so large that, for comparison, it exceeds nearly all countries' Gini index for income inequality. The 50% of locations with the fewest infections accounted for 5% of infections. The 10% of locations with the most infections accounted for 40% of infections and 15% of anesthetics. Among the 57 operating room locations, there was no association between counts of cases and infections (Spearman correlation coefficient r = 0.01). Among the non-operating room locations (e.g., interventional radiology), there was a significant association (Spearman r = 0.79). Conclusions Targeting specific anesthetizing locations is important for the multiple interventions to reduce surgical site infections that represent fixed costs irrespective of the number of patients (e.g., specialized ventilatory systems and nightly ultraviolet-C disinfection).

A Novel Approach to the Room of Errors (ROE): A Three-Dimensional Virtual Tour Activity to Spotlight Patient Safety Threats.

BACKGROUND: Live simulation-based activities are effective tools in teaching situational awareness to improve patient safety training in healthcare settings. The coronavirus disease 2019 (COVID-19) pandemic forced the discontinuation of these in-person sessions. We describe our solution to this challenge: an online interactive activity titled the "Virtual Room of Errors." The aim of this activity is to create an accessible and feasible method of educating healthcare providers about situational awareness in the hospital.  Materials and Methods: We applied existing three-dimensional virtual tour technology used in the real estate sector to a hospital patient room with a standardized patient and 46 intentionally placed hazards. Healthcare providers and students from our institution accessed the room online through a link where they independently navigate, and document observed safety hazards.  Results: In 2021 and 2022, a total of 510 learners completed the virtual Room of Errors (ROE). The virtual ROE increased annual participation in the activity, as compared to the in-person Room, and demonstrated learner satisfaction.  Conclusions: The virtual ROE is an accessible, feasible, and cost-effective method of educating healthcare workers on situational awareness of preventable hazards. Furthermore, the activity is a sustainable way to reach a larger number of learners from multiple disciplines, even as in-person activities resume.

Patients Undergoing Elective Inpatient Major Therapeutic Procedures in Florida Had No Significant Change in Hospital Mortality or Mortality-Related Comorbidities Between 2007 and 2019.

BACKGROUND: In a recent study, rapid response team implementation at 1 hospital was associated with only a 0.1% reduction in inpatient mortality from 2005 to 2018, characterized in the accompanying editorial as a "tepid" improvement. The editorialist postulated that an increase in the degree of illness of hospitalized patients might have masked a larger reduction that otherwise might have occurred. Impressions of greater patient acuity during the studied period might have been an artifact of efforts to document more comorbidities and complications, possibly facilitated by the change in diagnosis coding from the International Classification of Diseases , Ninth Revision ( ICD-9 ) to the Tenth Revision ( ICD-10 ). METHODS: We used inpatient data from every nonfederal hospital in Florida from the last quarter of 2007 through 2019. We studied hospitalizations for major therapeutic surgical procedures with lengths of stay ≥2 days. Using logistic regression with clustering by the Clinical Classification Software (CCS) code of the primary surgical procedure, we evaluated the trends for decreased mortality, changes in the prevalence of Medicare Severity Diagnosis Related Groups (MS-DRG) with complications or comorbidities (CC) or major complications or major comorbidities (MCC), and changes in the van Walraven index (vWI), a measure of patient comorbidities associated with increased inpatient mortality. Also incorporated in the modeling was the change from ICD-9 to ICD-10 . RESULTS: There were 3,151,107 hospitalizations comprising 130 distinct CCS codes and 453 MS-DRG groups among 213 hospitals. Despite a progressive increase of 4.1% per year in the odds of a CC or MCC ( P = .001), there were no significant changes in the marginal estimates of in-house mortality over time (net estimated decrease, 0.036%; 99% confidence interval [CI], -0.168% to 0.097%; P = .49). There was also absence of a significantly greater fraction of discharges with vWI >0 attributable to the year of the study (odds ratio, 1.017 per year; 99% CI, 0.995-1.041). The changes in MS-DRG to those with CC or MCC were not increased significantly from either the ICD-10 coding change or the number of years after the change. CONCLUSIONS: Consistent with the previous study, there was at most a small decrease in the mortality rate over a 12-year period. We found no reliable evidence that patients undergoing elective inpatient surgical procedures were any sicker in 2019 than in 2007. There were substantively more comorbidities and complications documented over time, but this was unrelated to the change to ICD-10 coding.

Overall anesthesia department quality of clinical supervision of trainees over a year evaluated using mixed effects models.

BACKGROUND: Earlier studies of supervision in anesthesiology focused on how to evaluate the quality of individual anesthesiologist's clinical supervision of trainees. What is unknown is how to evaluate clinical supervision collectively, as provided by the department's faculty anesthesiologists. This information can be a metric that departments report annually or use to evaluate the effect of programs on the quality of clinical supervision over time. METHODS: This retrospective cohort study used all 48,788 evaluations of the 115 faculty anesthesiologists using the De Oliveira Filho supervision scale completed by 202 residents and fellows over nine academic years at one department. RESULTS: The distributions of mean scores among raters had marked negative skewness and were inconsistent with normal distributions. Consequently, accurate confidence intervals were impracticably wide, and their interpretation suggested lack of validity. In contrast, the logits of the proportions of scores equaling the maximum possible value, calculated for each rater, followed distributions sufficiently close to normal for statistically reliable use in random effects modeling. Parameters and confidence intervals were estimated using the intercept only random effects models, and then inverses computed to convert results from the logit scale to proportions. That approach is analogous to random effect meta-analysis of proportional incidence (or prevalence). Departments that chose to use semi-annual or annual surveys of trainees regarding supervision quality, and report those raw counts, will have far lower estimates of supervision quality versus when calculated accurately using daily evaluations of individual anesthesiologists. CONCLUSIONS: Random effects meta-analysis of percentage incidences of maximum scores is a suitable statistical approach to analyze the daily supervision scores of individual anesthesiologists to evaluate the overall quality of clinical supervision provided to the trainees by the department over a year.