Evidence map›Paper›PMID 37579100›Full record

ArticleJournal of addiction medicine

The Incidence and Disparities in Use of Stigmatizing Language in Clinical Notes for Patients With Substance Use Disorder.

Scott G Weiner, Ying-Chih Lo, Aleta D Carroll, Li Zhou, Ashley Ngo, David B Hathaway, Claudia P Rodriguez, Sarah E Wakeman

Abstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Understanding Stigmatizing Language Lexicons: A Comparative Analysis in Clinical Contexts.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Scott G WeinerFrom the Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts (SGW); Harvard Medical School, Boston, Massachusetts (SGW, LZ, DBH, CPR, SEW); Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts (YCL, LZ); Mass General Brigham, Enterprise Analytics, Boston, Massachusetts (ADC, AN); Department of Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts (CPR); Department of Medicine, Massachusetts General Hospital, Boston, MA (SEW); and Mass General Brigham, Office of the Chief Medical Officer, Boston, Massachusetts (SEW).
Ying-Chih Lo
Aleta D Carroll
Li Zhou
Ashley Ngo
David B Hathaway
Claudia P Rodriguez
Sarah E Wakeman

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
Prescribing of opioids at hospital discharge and associated adverse patient outcomesR01HS026753 · AHRQ · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2019 to 2023
$1.9M
AHRQ HHS R01 HS026753NIDA NIH HHS R01 DA044167
6 · The paper itself

Abstract

objectiveThe language used to describe people with substance use disorder impacts stigma and influences clinical decision making. This study evaluates the presence of stigmatizing language (SL) in clinical notes and detects patient- and provider-level differences.

methodsAll free-text notes generated in a large health system for patients with substance-related diagnoses between December 2020 and November 2021 were included. A natural language processing algorithm using the National Institute on Drug Abuse's "Words Matter" list was developed to identify use of SL in context.

resultsThere were 546,309 notes for 30,391 patients, of which 100,792 (18.4%) contained SL. A total of 18,727 patients (61.6%) had at least one note with SL. The most common SLs used were "abuse" and "substance abuse." Nurses were least likely to use SL (4.1%) while physician assistants were most likely (46.9%). Male patients were more likely than female patients to have SL in their notes (adjusted odds ratio [aOR], 1.17; 95% confidence internal [CI], 1.11-1.23), younger patients aged 18 to 24 were less likely to have SL than patients 45 to 54 years (aOR, 0.55; 95% CI, 0.50-0.61), Asian patients were less likely to have SL than White patients (aOR, 0.45; 95% CI, 0.36-0.56), and Hispanic patients were less likely to have SL than non-Hispanic patients (aOR, 0.88; 95% CI, 0.80-0.98).

conclusionsThe majority of patients with substance-related diagnoses had at least one note containing SL. There were also several patient characteristic disparities associated with patients having SL in their notes. The work suggests that more clinician interventions about use of SL are needed.

Indexed as

LanguageSubstance-Related DisordersFemaleHealthcare DisparitiesHumansIncidenceMale

Identifiers

PMID37579100
PMCPMC10387497

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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.