Evidence map›Paper›PMID 35984653›Full record

ArticleIEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)2022

Association Between Operating Room Noise and Team Cognitive Workload in Cardiac Surgery.

Lauren R Kennedy-Metz, Maria Arshanskiy, Sandra Keller, David Arney, Roger D Dias, Marco A Zenati

Open access · greenAbstract read
In one paragraph

Article in IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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 at 5 institutions in 2 countries.

Lauren R Kennedy-MetzDepartment of Surgery, Harvard Medical School, VA Boston Healthcare System, West Roxbury, MA, USA.
Maria ArshanskiyDivision of Cardiac Surgery, VA Boston Healthcare System, West Roxbury, MA, USA.
Sandra KellerDepartment of Visceral Surgery and Medicine, Bern University Hospital, Bern, Switzerland.
David ArneyDepartment of Anaesthesia, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
Roger D DiasDepartment of Emergency Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Marco A ZenatiDepartment of Surgery, Harvard Medical School, VA Boston Healthcare System, West Roxbury, MA, USA.
Harvard University · USBrigham and Women's Hospital · USMassachusetts General Hospital · USUniversity Hospital of Bern · CHVA Boston Healthcare System · US

Funding

Developing Standardized Intraoperative Process Models to Enhance Surgical SafetyR01HL126896 · NHLBI · HARVARD MEDICAL SCHOOL · PI ZENATI, MARCO A. · 2016 to 2023
$3.7M
NHLBI NIH HHS R01 HL126896
6 · The paper itself

Abstract

Excessive intra-operative noise in cardiac surgery has the potential to serve as source of distraction and additional cognitive workload for the surgical team, and may interfere with optimal performance. The separation from bypass phase is a technically complex phase of surgery, making it highly susceptible to communication breakdowns due to high cognitive demands and requiring tightly coupled team coordination. The objective of this study was to investigate team cognitive workload levels and communication in relation to intra-operative time periods representative of infrequent vs. frequent peaks in ambient noise. Compared to 5-minute segments with no peaks in noise at all, segments with the highest percentage of noise peaks (≥10%) were significantly associated with higher team members' heart rate before, during, and after noise segments analyzed. These noisier segments were also associated with a significantly higher level of case-irrelevant communication events. These data suggest that case-irrelevant conversations associated with a greater degree of excessive peaks in noise may be associated with team workload levels, warranting further investigation into efforts to standardize communication during critical surgical phases.

Indexed as

cardiac surgerycognitive workloadheart ratenoise levelteams

Identifiers

PMID35984653
PMCPMC9382699
OpenAlexW4286572105

What OpenQuestion holds

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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.