Improving intraoperative handoffs for ambulatory anesthesia: challenges and solutions for the anesthesiologist

Patient and Operational Factors Do Not Substantively Affect the Annual Departmental Quality of Anesthesiologists' Clinical Supervision and Nurse Anesthetists' Work Habits

INTRODUCTION

Although safety climate, teamwork, and other non-technical skills in operating rooms probably influence clinical outcomes, direct associations have not been shown, at least partially due to sample size considerations. We report data from a retrospective cohort of anesthesia evaluations that can simplify the design of prospective observational studies in this area. Associations between non-technical skills in anesthesia, specifically anesthesiologists' quality of clinical supervision and nurse anesthetists' work habits, and patient and operational factors were examined.

METHODS

Eight fiscal years of evaluations and surgical cases from one hospital were included. Clinical supervision by anesthesiologists was evaluated daily using a nine-item scale. Work habits of nurse anesthetists were evaluated daily using a six-item scale. The dependent variables for both groups of staff were binary, whether all items were given the maximum score or not. Associations were tested with patient and operational variables for the entire day.

RESULTS

There were 40,718 evaluations of faculty anesthesiologists by trainees, 53,772 evaluations of nurse anesthetists by anesthesiologists, and 296,449 cases that raters and ratees started together. Cohen's d values were small (≤0.10) for all independent variables, suggesting a lack of any clinically meaningful association between patient and operational factors and evaluations given the maximum scores. For supervision quality, the day's count of orthopedic cases was a significant predictor of scores (P = 0.0011). However, the resulting absolute marginal change in the percentage of supervision scores equal to the maximum was only 0.8% (99% confidence interval: 0.2% to 1.4%), i.e., too small to be of clinical or managerial importance. Neurosurgical cases may have been a significant predictor of work habits (P = 0.0054). However, the resulting marginal change in the percentage of work habits scores equal to the maximum, an increase of 0.8% (99% confidence interval: 0.1% to 1.6%), which was again too small to be important.

CONCLUSIONS

When evaluating the effect of assigning anesthesiologists and nurse anesthetists with different clinical performance quality on clinical outcomes, supervision quality and work habits scores may be included as independent variables without concern that their effects are confounded by association with the patient or case characteristics. Clinical supervision and work habits are measures of non-technical skills. Hence, these findings suggest that non-technical performance can be judged by observing the typical small sample size of cases. Then, associations can be tested with administrative data for a far greater number of patients because there is unlikely to be a confounding association between patient and case characteristics and the clinicians' non-technical performance.

The efficacy of spinal anaesthesia with fentanyl supplementation for arthroscopic knee surgery: A meta-analysis of randomized controlled studies

INTRODUCTION

The efficacy of spinal anaesthesia with fentanyl supplementation for arthroscopic knee surgery remains controversial. We conducted a systematic review and meta-analysis to explore the influence of fentanyl supplementation for arthroscopic knee surgery.

METHODS

We searched PubMed, Embase, Web of Science, EBSCO and Cochrane Library databases through May 2019 for randomized controlled trials (RCTs) assessing the efficacy and safety of fentanyl supplementation for arthroscopic knee surgery. This meta-analysis is performed using the random-effects model.

RESULTS

Five RCTs are included in the meta-analysis. Overall, compared with the control group for knee arthroscopy, fentanyl supplementation is associated with decreased time for sensory block regression to S1 (mean difference (MD) = -47.38; 95% confidence interval (CI) = -56.74 to -38.02; p < 0.00001), first ambulation (MD = -41.65; 95% CI = -65.11 to -18.19; p = 0.0005), first urination (MD = -23.45; 95% CI = -32.16 to -14.74; p < 0.00001) and hospital discharge (MD = -29.39; 95% CI = -44.73 to -14.06; p = 0.0002) but has no substantial influence on onset time of anaesthesia (MD = 0.50; 95% CI = -1.71 to 2.70; p = 0.66), duration for motor blockade (MD = -42.56; 95% CI = -119.18 to 34.07; p = 0.28), pruritus (risk ratio (RR) = 2.17; 95% CI = 0.28 to 16.90; p = 0.46) or nausea (RR = 0.42; 95% CI = 0.10 to 1.81; p = 0.25).

CONCLUSIONS

Fentanyl supplementation benefits postoperative recovery after knee arthroscopy.

Sustained management of the variability in work hours among anesthesiologists providing patient care in operating rooms and not on call to work late if necessary

STUDY OBJECTIVE

We evaluated a department's long-term (6.5-year) success of achieving an overall and individual incidence of anesthesiologists working late of approximately 20% of days when not on call to work late, if necessary, and providing care in operating rooms.

DESIGN

Historical cohort study, January 2014 through September 2020.

SETTING

Inpatient surgical suite of large teaching hospital.

MAIN RESULTS

The percentage of days worked past 5:00 PM was mean (standard deviation) 17.7% (5.0%) of days, 99% confidence interval (CI) 15.0% to 20.4%. There was considerable variability among quarters, the coefficient of variation being 28% (99% CI 20% to 45%). This was caused, in part, by anesthesiologists less often working late during January-March versus July-September (14.0% [4.5%] versus 21.6% [3.2%]; P = 0.0031; N = 7 years each). The N = 67 anesthesiologists not on call differed in their percentages of workdays finishing after 5:00 PM (P < 0.0001). While the mean was 18% (6%), the coefficient of variation was 37% (29% to 49%). There were no significant outliers. In contrast, not only were there differences among anesthesiologists in the relative risks of working late when receiving relief versus when not handing off a case (P < 0.0001), there were outliers.

CONCLUSIONS

An anesthesia department aiming for a 20% incidence of anesthesiologists having to work late when not on call can achieve this objective, long-term, within a few percent (e.g., 2%). Seasonal variation can contribute to variability among quarters in the overall departmental incidence. Individual anesthesiologists can have variability among themselves, though, and that is caused by large heterogeneity in their relative risks of working late when receiving relief versus when not handing off a case. For departments choosing to provide information to anesthesiologists to increase predictability, factors to consider should include season of the year and the individual anesthesiologist.