Evidence map›Paper›PMID 28776233›Full record

ArticleJournal of medical systems2017

After-hour Versus Daytime Shifts in Non-Operating Room Anesthesia Environments: National Distribution of Case Volume, Patient Characteristics, and Procedures.

Rodney A Gabriel, Brittany N Burton, Mitchell H Tsai, Jesse M Ehrenfeld, Richard P Dutton, Richard D Urman

Abstract read
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In one paragraph

Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rodney A GabrielDepartment of Anesthesiology, University of California, San Diego, San Diego, CA, USA.
Brittany N BurtonDepartment of Anesthesiology, University of California, San Diego, San Diego, CA, USA.
Mitchell H TsaiDepartment of Anesthesiology, Department of Orthopaedics and Rehabilitation (by courtesy), University of Vermont Larner College of Medicine, Burlington, VT, USA.
Jesse M EhrenfeldVanderbilt University Medical Center, Nashville, TN, 37232, USA.
Richard P DuttonUS Anesthesia Partners, Dallas, TX, USA.
Richard D UrmanDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, 02115, USA. rurman@bwh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to characterize workload during all hours of the day in the non-operating room anesthesia (NORA) environment and identify what type of patients and procedures were more likely to occur during after-hours. By investigating data from the National Anesthesia Clinical Outcomes Registry, we characterized the total number of ongoing NORA cases per hour of the day (0 - 23 h). Results were presented as the mean hour and standard error (SE). Multivariable logistic regression was applied to assess the association of various patient, procedural, and facility characteristics with time of day (after-hours = 17:01-06:59 local time versus day-time). Included in this analysis, there were a total of 4,948,634 cases performed on non-holiday weekdays. The mean hour for ongoing cases for gastroenterology, cardiac, radiology and "other" were: 10.8 with standard error (SE) of 0.002, 11.5 (SE of 0.005), 11.2 (SE of 0.005), and 10.8 (SE of 0.002), respectively. Pairwise differences between means for each NORA specialty were all statistically significant (p < 0.0001). During after-hour shifts (4.3% of cases), patients with higher American Society of Anesthesiologists physical status classification scores had increased odds for undergoing a NORA procedure, while procedures that were more physiologically complex had decreased odds. With the increasing demand for NORA services, it is prudent that we fully understand the challenges of providing safe and efficient anesthetic services particularly in locations where fewer resources are available.

Indexed as

AnesthesiaHumansOperating RoomsWorkloadCaseloadCase volumeEfficiencyNon-OR anesthesiaNORAScheduling

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.