Evidence map›Paper›PMID 39875768›Full record

ArticleJournal of general internal medicine2025

Monitoring Use of Language Interpreting Services for Patients with Limited English Proficiency: Methods to Match Patient Medical Records with Interpreter Billing Logs.

Neha Mukherjee, Roy Lee, Nhat Ngyuen, Nina Bickell, Lynne D Richardson, Ka Ming Ngai

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Neha MukherjeeMount Sinai Health System/Icahn School of Medicine at Mount Sinai, New York City, NY, USA. Neha.mukherjee@icahn.mssm.edu.ORCID 0009-0000-5816-9966
Roy LeeIcahn School of Medicine at Mount Sinai, Institute for Health Equity Research, New York, USA.
Nhat NgyuenTouro College of Osteopathic Medicine, Touro University, New York, USA.
Nina BickellIcahn School of Medicine at Mount Sinai, Institute for Health Equity Research, New York, USA.
Lynne D RichardsonIcahn School of Medicine at Mount Sinai, Institute for Health Equity Research, New York, USA.
Ka Ming NgaiIcahn School of Medicine at Mount Sinai, Institute for Health Equity Research, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver 60 million patients in the USA have limited English proficiency (LEP) and experience barriers in care. Still, there exists no standardized method of monitoring the utilization of language interpreting services (LIS).

objectiveTo introduce a methodological approach to systematically monitor utilization of LIS for LEP patients.

designWe utilized a One-To-Many Match algorithm to align inpatient visits of LEP patients from the electronic health record (EHR) with corresponding calls from LIS billing logs, using a unique patient identifier (MRN) and LIS call dates within patient's admit and discharge dates. Due to error when MRNs are recorded by LIS, the FuzzyWuzzy Probabilistic String-Matching technique was utilized to enhance match accuracy where exact matches were unattainable, addressing inherent complexities in language data matching.

participantsThe study involved 5823 inpatient encounters with a non-English preference in an urban hospital system in 2020, representing a linguistically diverse patient base, and attempted to match these against 183,655 LIS call logs. MAIN MEASURES: Our approach successfully matched 83.1% (4389 out of 5823) of inpatient encounters to an LIS call. KEY

resultsWe observed significant language-specific disparities in LIS usage, with Spanish leading in call volume at 2737 calls (exact matches) and 845 (probabilistic matches). Concordance rates varied, exceeding 94% for all languages in exact matches and ranging from 53.9% for Arabic to 71.6% for Russian in probabilistic matches. The average frequency of LIS calls was about one call per day per language group in the inpatient setting.

conclusionsThe study provides vital insights into language service preferences, frequency, and duration. These findings emphasize the need for standard methods in monitoring LIS usage to enhance patient outcomes for LEP patients.

Indexed as

Communication BarriersElectronic Health RecordsLimited English ProficiencyTranslatingAdultFemaleHumansLanguageMaleMiddle Ageddisparitieslanguage interpreting servicelimited english proficiency

Identifiers

PMID39875768
PMCPMC12405149

What OpenQuestion holds

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Registered trials

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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.