Identifying Patterns of Stigmatizing Language Use in the Safety Net - Report - MDSpire

Identifying Patterns of Stigmatizing Language Use in the Safety Net

  • By

  • Kriti Gogia

  • Zeyu Li

  • Kara Simpson

  • Nichola J. Davis

  • Remle Newton-Dame

  • June 24, 2026

  • 0 min

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Clinical Report: Recognizing Trends in the Use of Stigmatizing Language

Overview

This study identifies the prevalence of stigmatizing language in clinical notes within NYC Health + Hospitals, highlighting significant disparities based on patient demographics.

Background

Stigmatizing language can adversely affect clinical care and patient trust, particularly in safety net systems serving low-income and historically marginalized communities. NYC Health + Hospitals, as the largest municipal safety net system in the U.S., provides a critical context for examining these issues.

Data Highlights

MeasureValue
Total Patients Seen851,130
Total Notes Generated15,006,940
Notes with Stigmatizing Language93,107 (0.6%)
Unique Patients with Stigmatizing Language26,052 (3.1%)
Prevalence in IP Notes1.0%
Prevalence in ED Notes0.9%
Prevalence in OP Notes0.1%

Key Findings

  • Stigmatizing language was found in 0.6% of medical notes, affecting 3.1% of unique patients.
  • Prevalence was highest among notes authored by Social Workers, Counselors, or Psychologists (1.7%).
  • Patients with homelessness (15.9%) and substance use disorders (15.3%) had the highest prevalence of stigmatizing terms.
  • Racial disparities were evident, with Non-Hispanic White (4.7%) and Black (4.1%) patients experiencing higher rates of stigmatizing language compared to Hispanic/Latinx patients (2.1%).
  • Factors influencing stigmatizing language included having two or more chronic conditions, Medicare insurance, and homelessness.

Clinical Implications

The findings highlight the need for healthcare systems to address the use of stigmatizing language, particularly among vulnerable populations. Implementing training and interventions to promote respectful communication can enhance patient trust and care quality.

Conclusion

This study reveals significant patterns of stigmatizing language in clinical notes, emphasizing the importance of targeted interventions to mitigate bias and improve care for marginalized populations.

Related Resources & Content

  1. Frontiers in Psychiatry, 2026 -- Diversity of words and words for diversity
  2. Open Forum Infectious Diseases -- Evaluating the Effectiveness of Natural Language Processing in Identifying Hospitalized Individuals with Substance Use Disorders
  3. Frontiers in Psychiatry, 2026 -- Making individuals and needs visible: exploring the stigmatization against adolescents with mental health problems in photovoice practices
  4. American Journal of Epidemiology -- Sealy-Jefferson et al. Address Joseph et al.'s Commentary on Identifying Accountability for Racial Disparities in Black Maternal Mental Health
  5. CDC -- Communicating With and About People with Disabilities | Disability and Health
  6. JAMA Network Open -- Language in Birth Clinical Notes Associated With Race and Ethnicity
  7. ScienceDirect -- Words matter: A campaign to reduce stigmatizing substance use language at an urban health system
  8. Communicating With and About People with Disabilities | Disability and Health | CDC
  9. Language in Birth Clinical Notes Associated With Race and Ethnicity
  10. Words matter: A campaign to reduce stigmatizing substance use language at an urban health system - ScienceDirect

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