Evidence map›Paper›PMID 37147211›Full record

ArticlePain management nursing : official journal of the American Society of Pain Management Nurses2023

Pain Assessment Disparities by Race, Ethnicity, and Language in Adult Hospitalized Patients.

Aksharananda Rambachan, Hamedullah Noorulhuda, Margaret C Fang, Marilyn Bazinski, Solmaz Manuel, Colin Hubbard, Priya Prasad

Open access · hybridAbstract read
In one paragraph

Article in Pain management nursing : official journal of the American Society of Pain Management Nurses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. From patient notes to prognostication: The revolutionary potential of event-based foundation models in orthopaedics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
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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 1 institution in 1 country.

Aksharananda RambachanDivision of Hospital Medicine, University of California, San Francisco, California. Electronic address: aksharananda.rambachan@ucsf.edu.
Hamedullah NoorulhudaSchool of Medicine, University of California, San Francisco, California.
Margaret C FangDivision of Hospital Medicine, University of California, San Francisco, California.
Marilyn BazinskiSchool of Nursing, University of California, San Francisco, California.
Solmaz ManuelDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, California.
Colin HubbardDivision of Hospital Medicine, University of California, San Francisco, California.
Priya PrasadDivision of Hospital Medicine, University of California, San Francisco, California.
University of California, San Francisco · US

Funding

Use and outcomes of anticoagulants for the treatment and prevention of thrombosis among hospitalized patientsK24HL141354 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FANG, MARGARET C. · 2018 to 2022
$731k
NHLBI NIH HHS K24 HL141354
6 · The paper itself

Abstract

aimNurses assess patients' pain using several validated tools. It is not known what disparities exist in pain assessment for medicine inpatients. Our purpose was to measure differences in pain assessment across patient characteristics, including race, ethnicity, and language status.

methodsRetrospective cohort study of adult general medicine inpatients from 2013 to 2021. The primary exposures were race/ethnicity and limited English proficiency (LEP) status. The primary outcomes were 1) the type and odds of which pain assessment tool nursing used and 2) the relationship between pain assessments and daily opioid administration.

resultsOf 51,602 patient hospitalizations, 46.1% were white, 17.4% Black, 16.5% Asian, and 13.2% Latino. 13.2% of patients had LEP. The most common pain assessment tool was the Numeric Rating Scale (68.1%), followed by the Verbal Descriptor Scale (23.7%). Asian patients and patients with LEP were less likely to have their pain documented numerically. In multivariable logistic regression, patients with LEP (OR 0.61, 95% CI 0.58-0.65) and Asian patients (OR 0.74, 95% CI 0.70-0.78) had the lowest odds of numeric ratings. Latino, Multi-Racial, and patients classified as Other also had lower odds than white patients of numeric ratings. Asian patients and patients with LEP received the fewest daily opioids across all pain assessment categories.

conclusionsAsian patients and patients with LEP were less likely than other patient groups to have a numeric pain assessment and received the fewest opioids. These inequities may serve as the basis for the development of equitable pain assessment protocols.

Indexed as

Analgesics, OpioidEthnicityAdultHumansLanguagePainPain MeasurementRetrospective StudiesAnalgesics, Opioid

Identifiers

PMID37147211
PMCPMC10954313
OpenAlexW4367857479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.