Evidence map›Paper›PMID 39949150›Full record

ReviewJournal of perioperative practice2025

Language-specific approaches to reduce perioperative stress and anxiety related to anaesthesia for patients with limited English proficiency: A narrative review.

Kanwarpreet Kaur Dhaliwal, Sherry Sandhu, Nitasha Puri, Amolpreet Toor

Abstract readReview
In one paragraph

Review in Journal of perioperative practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kanwarpreet Kaur DhaliwalFaculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0009-0008-2150-6146
Sherry SandhuFraser Health Authority, Surrey, British Columbia, Canada.
Nitasha PuriFaculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-4567-2885
Amolpreet ToorDepartment of Anesthesiology, Pharmacology, and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many patients experience perioperative anxiety due to a variety of different reasons. Essential processes of shared decision-making and informed consent may help to mitigate anxiety, yet language barriers may hinder this particularly in diverse patient populations. As such, language-specific approaches in anaesthesia care play a crucial role in reducing perioperative stress and anxiety among patients with limited English proficiency. This review examines which methods during anaesthetic assessments and shared decision-making processes enable anaesthetists to communicate effectively with patients who have limited English proficiency and thereby reduce perioperative stress. Findings suggest that collaborating with patients in their native language significantly reduces anxiety and improves understanding, while transcreation - culturally adapted translation - enhances the effectiveness of communication. To decrease perioperative anxiety among populations with limited English proficiency and improve surgical outcomes, it is important to enhance anaesthesia-focused training for interpreters, increase diversity in the anaesthesia field, and develop culturally relevant patient education materials.

Indexed as

AnesthesiaAnxietyCommunication BarriersLanguageLimited English ProficiencyPerioperative CareStress, PsychologicalFemaleHumansAnaesthesiaInformed consentLanguage-specific approachesPerioperative anxiety

Identifiers

PMID39949150
PMCPMC12446688

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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.