Julien Cobert, Edie Espejo, John Boscardin, Hunter Mills, Deepshikha Ashana, Karthik Raghunathan, Timothy A Heintz, Allyson Cook Chapman, Alex K Smith, Sei Lee
{"title":"医疗保健系统重症监护室笔记中提及种族和民族的差异。","authors":"Julien Cobert, Edie Espejo, John Boscardin, Hunter Mills, Deepshikha Ashana, Karthik Raghunathan, Timothy A Heintz, Allyson Cook Chapman, Alex K Smith, Sei Lee","doi":"10.4037/ajcc2024422","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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]).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":7607,"journal":{"name":"American Journal of Critical Care","volume":"33 6","pages":"462-466"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variation in Mentions of Race and Ethnicity in Notes in Intensive Care Units Across a Health Care System.\",\"authors\":\"Julien Cobert, Edie Espejo, John Boscardin, Hunter Mills, Deepshikha Ashana, Karthik Raghunathan, Timothy A Heintz, Allyson Cook Chapman, Alex K Smith, Sei Lee\",\"doi\":\"10.4037/ajcc2024422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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]).</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":7607,\"journal\":{\"name\":\"American Journal of Critical Care\",\"volume\":\"33 6\",\"pages\":\"462-466\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Critical Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4037/ajcc2024422\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Critical Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4037/ajcc2024422","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
Variation in Mentions of Race and Ethnicity in Notes in Intensive Care Units Across a Health Care System.
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.
期刊介绍:
The editors of the American Journal of Critical Care
(AJCC) invite authors to submit original manuscripts
describing investigations, advances, or observations from
all specialties related to the care of critically and acutely ill
patients. Papers promoting collaborative practice and
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