Evidence map›Paper›PMID 37067893›Full record

ArticleJMIR nursing2023

Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study.

Maxim Topaz, Jiyoun Song, Anahita Davoudi, Margaret McDonald, Jacquelyn Taylor, Scott Sittig, Kathryn Bowles

Open access · goldAbstract read
In one paragraph

Article in JMIR nursing, 2023. 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
3.9field-weighted citation impact, top 7% 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, 9 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Maxim TopazColumbia University School of Nursing, New York, NY, United States.ORCID https://orcid.org/0000-0002-2358-9837
Jiyoun SongColumbia University School of Nursing, New York, NY, United States.ORCID https://orcid.org/0000-0003-0362-0670
Anahita DavoudiCenter for Home Care Policy & Research, VNS Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-4345-3889
Margaret McDonaldCenter for Home Care Policy & Research, VNS Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-1045-0956
Jacquelyn TaylorColumbia University School of Nursing, New York, NY, United States.ORCID https://orcid.org/0000-0002-0858-7358
Scott SittigDepartment of Health Sciences, University of Louisiana at Lafayette, Lafayette, LA, United States.ORCID https://orcid.org/0000-0002-7179-152X
Kathryn BowlesCenter for Home Care Policy & Research, VNS Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-7740-5725
Columbia University · USUniversity of Louisiana at Lafayette · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA clinician's biased behavior toward patients can affect the quality of care. Recent literature reviews report on widespread implicit biases among clinicians. Although emerging studies in hospital settings show racial biases in the language used in clinical documentation within electronic health records, no studies have yet investigated the extent of judgment language in home health care.

objectiveWe aimed to examine racial differences in judgment language use and the relationship between judgment language use and the amount of time clinicians spent on home visits as a reflection of care quality in home health care.

methodsThis study is a retrospective observational cohort study. Study data were extracted from a large urban home health care organization in the Northeastern United States. Study data set included patients (N=45,384) who received home health care services between January 1 and December 31, 2019. The study applied a natural language processing algorithm to automatically detect the language of judgment in clinical notes.

resultsThe use of judgment language was observed in 38% (n=17,141) of the patients. The highest use of judgment language was found in Hispanic (7,167/66,282, 10.8% of all clinical notes), followed by Black (7,010/65,628, 10.7%), White (10,206/107,626, 9.5%), and Asian (1,756/22,548, 7.8%) patients. Black and Hispanic patients were 14% more likely to have notes with judgment language than White patients. The length of a home health care visit was reduced by 21 minutes when judgment language was used.

conclusionsRacial differences were identified in judgment language use. When judgment language is used, clinicians spend less time at patients' homes. Because the language clinicians use in documentation is associated with the time spent providing care, further research is needed to study the impact of using judgment language on quality of home health care. Policy, education, and clinical practice improvements are needed to address the biases behind judgment language.

Indexed as

cohort studyhealth disparityhome health carejudgment languagelanguage barriernatural language processingnursing informaticsracial biasesracial differencestigmatizing language

Identifiers

PMID37067893
PMCPMC10152333
OpenAlexW4327660727

What OpenQuestion holds

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LicenceCC BY
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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.