Evidence map›Paper›PMID 37214539›Full record

ArticlePEC innovation2023

Simulated anesthesia consent discussions demonstrate high level of comprehension and education requirements for patients: A pilot study.

George Tewfik, Patrick Hesketh, Lawrence Chinn, Nivetha Srinivasan, Andrew Abdelmalek

Abstract read
In one paragraph

Article in PEC innovation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

George TewfikDepartment of Anesthesiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Patrick HeskethDepartment of Anesthesiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Lawrence ChinnDepartment of Anesthesiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Nivetha SrinivasanDepartment of Anesthesiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
Andrew AbdelmalekDepartment of Anesthesiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patient comprehension of informed consent and demonstration of procedural understanding is often lacking in anesthesiology. The purpose of this study was to determine if patient communication in anesthesiology is being conducted effectively, and in a manner that ensures adequate communication between anesthesia professionals and their patients regarding procedures with associated risks and benefits. Methods: Anesthesia professionals were recorded in a simulated setting explaining anesthesia procedures of increasing complexity with one control scenario. Score means were calculated, and statistical comparisons made between discussion of anesthesia procedures and the control scenario. Results: Calculation of means for 6 readability tests demonstrated the grade level required to understand the medical practitioners' verbal communication was high and increased with complexity of the anesthesia procedure described. The control scenario required a statistically significant lower level of comprehension for the recipient of the information. Conclusion: In simulated settings, anesthesia professionals regularly communicate procedural details in a manner that is difficult for the general public to understand. Subjects could communicate in simple terms when discussing a control. Innovation: This pilot study demonstrated effective methodology, using artificial intelligence technology for transcription, to assess patient comprehension of verbal communication.

Indexed as

Informed consentPatient education

Identifiers

PMID37214539
PMCPMC10194181

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.