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Anesthesia Workload Nationally During Regular Workdays and Weekends

Overview of attention for article published in Anesthesia and analgesia, December 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Article details
Title
Anesthesia Workload Nationally During Regular Workdays and Weekends
Published in
Anesthesia and analgesia, December 2015
DOI 10.1213/ane.0000000000000773
Pubmed ID
Authors
Abstract

We analyze data from the American Society of Anesthesiologist's (ASA) Anesthesia Quality Institute (AQI) to report the U.S. anesthesia workload by time of day and day of the week. We consider the extent to which first case starts, rather than durations of workdays and weekend cases, influence the number of anesthesia providers nationally. The ASA AQI data were from all the U.S. anesthesia groups that submitted cases to the National Anesthesia Clinical Outcomes Registry (NACOR) for all 12 months of 2013. For each of the n = 2,075,188 cases, we identified the local date and time of the start of anesthesia care, duration of anesthesia care, and the local time zone. Anesthesia workload was measured as the time from the start to the end of continuous anesthesia care. Data are reported as mean ± SEM with 95% confidence intervals (CIs). Half (53.0% ± 0.6%) of the ASA AQI-reported weekly anesthesia workload was completed by 1:00 PM, local time, on regular workdays. The busiest 8-hour interval was from 7:30 AM to 3:30 PM and accounted for 70.3% ± 0.7% of anesthetic minutes. Although most facilities completed the majority of their weekly anesthesia workload in the mornings of regular workdays (P < 0.0001; 62.3%; CI, 58.6%-66.1%), just 24.4% of the University and large community hospitals did so (P = 0.0008 relative to half; CI, 13.8%-38.4%). The results are inconsistent with widespread use of surgical facilities (i.e., anesthesia providers) in mornings only, especially at University and large community hospitals. The observed national work hours match with what would be expected if most anesthesiologists work at least 8 hours on regular workdays. Opportunity for greater use of the capital (building and equipment) probably would involve the use of additional anesthesia providers representing a second shift or use of weekends.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 15%
Student > Postgraduate 3 11%
Lecturer > Senior Lecturer 1 4%
Librarian 1 4%
Other 1 4%
Other 4 15%
Unknown 13 48%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 9 33%
Arts and Humanities 1 4%
Environmental Science 1 4%
Engineering 1 4%
Unknown 15 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2020.
All research outputs
#10,723,504
of 34,410,315 outputs
Outputs from Anesthesia and analgesia
#4,152
of 10,901 outputs
Outputs of similar age
#126,269
of 443,557 outputs
Outputs of similar age from Anesthesia and analgesia
#33
of 84 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,901 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 443,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.