Evidence map›Paper›PMID 41068762›Full record

Observational studyBMC public health2025

Protocol for an observational prospective study on the use and impact of over-the-phone interpretation in 911 calls with language discordance.

Hendrika Meischke, Camille A Fogel, Michelle M Garrison, Mei-Po Yip, Angelica Loza-Gomez, Anne M Turner, Magaly Ramirez, Nicole Stankovic

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2025. 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

8 authors.

Hendrika MeischkeDepartment of Health Services and Population Health, University of Washington, 1959 NE Pacific St, Box 357660, Seattle, WA, 98195, USA. hendrika@uw.edu.
Camille A FogelDepartment of Health Services and Population Health, University of Washington, 1959 NE Pacific St, Box 357660, Seattle, WA, 98195, USA.
Michelle M GarrisonDepartment of Public Health, Purdue University, 812 W State St, West Lafayette, IN, 47907, USA.
Mei-Po YipDepartment of Health Services and Population Health, University of Washington, 1959 NE Pacific St, Box 357660, Seattle, WA, 98195, USA.
Angelica Loza-GomezLos Angeles General Medical Center, 1200 N State St, Los Angeles, CA, 90033, USA.
Anne M TurnerDepartment of Health Services and Population Health, University of Washington, 1959 NE Pacific St, Box 357660, Seattle, WA, 98195, USA.
Magaly RamirezDepartment of Health Services and Population Health, University of Washington, 1959 NE Pacific St, Box 357660, Seattle, WA, 98195, USA.
Nicole StankovicDepartment of Health Services and Population Health, University of Washington, 1959 NE Pacific St, Box 357660, Seattle, WA, 98195, USA.

Funding

Improving linguistic health equity in prehospital emergency careR01MD019120 · NIMHD · UNIVERSITY OF WASHINGTON · PI HENDRIKA W. MEISCHKE · 2023 to 2026
$2.2M
NIMHD NIH HHS R01 MD019120NIMHD NIH HHS R01MD019120
6 · The paper itself

Abstract

backgroundThere are more than 25.9 million people in the U.S. who experience limited English proficiency (LEP). Compared with English-speaking callers, LEP individuals contacting 911 are less likely to receive and perform prearrival instructions and are more likely to experience delays and adverse health outcomes. While we know that using interpreters in clinics improves care delivery, patient satisfaction, and health outcomes, no similar gold standard has been established for overcoming language barriers in emergency 911 calls. The objective of this study is to examine the relationships between the use of over-the-phone interpretation (OPI) and various call characteristics, communication strategies, and dispatch outcomes to better inform public safety telecommunicator (PST) decision making on when and when not to connect to OPI.

methodsThis is an observational prospective study based on the Feldman-Stewart Framework of Patient-Provider communication. Through meticulous coding, we will transform linguistic data from a sample of 660 real-life LEP 911 calls collected from four Emergency Communication Centers (ECCs) into quantitative data which will be used to examine the relationships between caller characteristics, OPI use, and associated communication and dispatch outcomes. Primary outcome measures are the time to first dispatch, the time to delivering medically relevant prearrival instructions, and triage errors. Primary analyses will use multilevel linear and logistic regression models to examine the relationships between the outcome variables and various predictors, including the use of and time to accessing OPI, in addition to alternative strategies for establishing language concordance (e.g., asking for a lay interpreter). Secondary analyses will explore possible mediators and effect modifiers including but not limited to caller emotionality, the severity and complexity of the primary complaint, and other caller- and context-specific characteristics. DISCUSSION: The results of this study will shed light on the call characteristics that are associated with the use of OPI and better dispatch outcomes for LEP callers. Our findings will inform future training and policy for 911 PSTs and LEP language communities, with the goal of reducing delays and disparities that result from language barriers in the context of emergency dispatch.

Indexed as

Communication BarriersEmergency Medical Service Communication SystemsLimited English ProficiencyTelephoneTranslatingFemaleHumansLanguageProspective StudiesResearch DesignUnited StatesDispatchLimited english proficiencyOver-the-phone interpreterPrehospital emergency care

Identifiers

PMID41068762
PMCPMC12512811

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.