Evidence map›Paper›PMID 41308403›Full record

ArticleInternational journal of obstetric anesthesia2026

Patient-reported postoperative pain and stigmatizing language in anesthesia notes: a cross-sectional study (2017-2019).

S E Harkins, C D Thomas, I I Hulchafo, M Topaz, R Landau, V Barcelona

Abstract read
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Article in International journal of obstetric anesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

S E HarkinsColumbia University Irving Medical Center, Department of Obstetrics & Gynecology, New York, NY, United States.
C D ThomasColumbia University Vagelos College of Physicians and Surgeons, New York, NY, United States.
I I HulchafoColumbia University School of Nursing, New York, NY, United States.
M TopazColumbia University School of Nursing, New York, NY, United States.
R LandauColumbia University Irving Medical Center, Department of Anesthesia, New York, NY, United States.
V BarcelonaColumbia University School of Nursing, New York, NY, United States. Electronic address: vb2534@cumc.columbia.edu.

Funding

Policy solutions for addressing structural racism in maternal health disparitiesU54HD113172 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Sevonna Brown, Madeleine Dorval-Moller · 2023 to 2026
$11.6M
Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Reducing Racial and Ethnic Disparities in Maternal Health through Policy InterventionsR01MD018410 · NIMHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Jean R Guglielminotti · 2023 to 2026
$1.6M
NICHD NIH HHS U54 HD113172NIMHD NIH HHS R01 MD018410NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

backgroundStigmatizing language reflects provider bias. Researchers found that documentation of stigmatizing language in obstetric clinical notes differed by patient race and ethnicity. The purpose of this study was to examine associations between postoperative pain and stigmatizing language documented by anesthesiologists.

methodsWe studied the electronic health records of obstetric patients at two hospitals between 2017 and 2019 (n = 4383). Pain was defined as a verbal numerical pain score (VNPS) ≥ 1 following cesarean delivery or other operative procedure during the delivery hospitalization. Stigmatizing language was identified in the free-text narratives of postoperative anesthesia notes using a well-performing natural language processing algorithm. Multivariable logistic regression was employed to examine associations between pain and stigmatizing language.

resultsStigmatizing language was found in 9.9% of postoperative notes. Patients with documented pain were significantly more likely to have any stigmatizing language documented by anesthesiologists compared with patients with no pain (adjusted odds ratio [aOR], 1.64; 95% confidence interval [CI], 1.26-2.13). Patients with pain were also significantly more likely to have language labeling them as 'difficult' (aOR, 1.81; 95% CI, 1.34-2.45). There were no significant differences between patients with and without postoperative pain in language related to marginalized language/identities, unilateral/authoritarian decisions, or questioning patient credibility categories.

conclusionsIn this cross-sectional study, postpartum patients with pain had increased odds of stigmatizing language. Findings suggest anesthesiologists may perceive patients who report pain as being 'difficult.' Quality improvement studies should track inequities in pain management as patient-centered, bias-free care is crucial for improving perinatal equity.

Indexed as

Anesthesia, ObstetricalElectronic Health RecordsLanguagePostoperative PainStereotypingAdultCross-Sectional StudiesFemaleHumansPregnancyClinician biasHealth equityNatural language processingPostpartum painStigmatizing language

Identifiers

PMID41308403
PMCPMC12771282

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