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Variation in Mentions of Race and Ethnicity in Notes in Intensive Care Units Across a Health Care System.
- Source :
- American Journal of Critical Care; Nov2024, Vol. 33 Issue 6, p462-466, 5p
- Publication Year :
- 2024
-
Abstract
- Background: Social constructs like race can affect how patients are perceived and impact care. This study investigated whether mentions of race in notes for critically ill patients differed according to patients' race. Methods: This retrospective cohort study included intensive care unit notes for adults (≥18 years old) admitted to any of 6 intensive care units at University of California, San Francisco, from 2012 through 2020. Notes were linked to National Provider Identifier records to obtain note writer characteristics. Logistic regression analysis with robust SEs clustered on note writers was adjusted for patient-, note- and clinician-level characteristics. Any race or ethnicity mention was the outcome of interest. Results: Among 5573 patients with 292 457 notes by 9742 unique note writers, 3225 patients (57.9%) self-reported their race as White, 997 (17.9%) as Asian, 860 (15.4%) as Latinx, and 491 (8.8%) as Black. Note writers documented race/ethnicity for 20.8% of Black, 10.9% of Latinx, 9.1% of White, and 4.4% of Asian patients. Black patients were more likely than White patients to have race mentioned in notes (adjusted odds ratio, 2.05 [95% CI, 1.49-2.82]). Conclusions: Black patients were more than twice as likely as White patients to have race mentioned in notes. Note language containing information on social constructs has consequences for clinicians and patients reading notes and for algorithms trained on clinical notes. [ABSTRACT FROM AUTHOR]
- Subjects :
- SELF-evaluation
HEALTH services accessibility
CONTINUING education units
SOCIAL determinants of health
LOGISTIC regression analysis
CATASTROPHIC illness
RETROSPECTIVE studies
DESCRIPTIVE statistics
PATIENT care
EVALUATION of medical care
HOSPITALS
RACE
LONGITUDINAL method
ODDS ratio
INTENSIVE care units
MEDICAL records
ACQUISITION of data
HEALTH equity
COMPARATIVE studies
CONFIDENCE intervals
SOCIODEMOGRAPHIC factors
DATA analysis software
CRITICAL care medicine
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 10623264
- Volume :
- 33
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- American Journal of Critical Care
- Publication Type :
- Academic Journal
- Accession number :
- 180583242
- Full Text :
- https://doi.org/10.4037/ajcc2024422