Racial/Ethnic Disparities in Triage Scores Among Pediatric Emergency Department Fever Patients

Racial inequities in point-of-care ultrasound for pregnancy

STUDY OBJECTIVE

Racial inequities are pervasive throughout healthcare. We sought to assess if race and ethnicity are associated with emergency department (ED) point-of-care ultrasound (POCUS) usage compared with radiology-ordered ultrasounds as our primary outcome and a secondary outcome of nurse-driven ultrasound ordering for early pregnancy.

METHODS

In this retrospective, observational cohort study between June 2015 and December 2021, we assessed ED physician POCUS use in relation to Radiology (RADUS) ultrasound for first trimester pregnancy with race and ethnicity as our primary variable. A secondary outcome assessed if race and ethnicity impacted nursing-driven ultrasound ordering. Univariate and multivariate logistic regression models were created to test relationships and interactions with clinical variables. Given the overlap of language and race/ethnicity, a multivariate model with language as the primary variable was included.

RESULTS

No significant differences based on race and ethnicity were found for the selection of POCUS versus RADUS (n = 2337: χ2 = 5.25, p = 0.155). For the secondary outcome, 1694 of 7662 (22.1 %) patients received a nurse ultrasound order. Hispanic/Latino patients had increased odds of receiving a nurse-driven order (aOR 1.25, 95 % CI 1.009-1.549) and those of other or unknown race/ethnicity (aOR 1.357, 95 %CI 1.043-1.765) when language was excluded; in addition to Non-English speakers (OR 1.213, 95 %CI 1.072-1.372) with race excluded.

CONCLUSIONS

For first trimester pregnancy complaints, race and ethnicity did not alter POCUS usage by ED physicians. Secondary analysis showed race and ethnicity differences in nurse-driven orders, however collinearity between the primary outcome and language makes it difficult to assess the magnitude of these factors.

Triage Discordance in an Academic Pediatric Emergency Department and Disparities by Race, Ethnicity, and Language for Care

BACKGROUND

Minoritized patients are disproportionately represented in low-acuity emergency department (ED) visits in the United States in part caused by lack of timely access to primary and urgent care. However, there is also the possibility that implicit bias during triage could contribute to disproportionate representation of minority groups in low-acuity ED visits. Triage discordance, defined as when ED resources used are different from initial triage score predictions, can be used as a proxy for triage accuracy. Recent data suggest that discordant triage may be common, although little is known about the interaction with race, ethnicity, and language for care.

OBJECTIVES

This study aims to determine the prevalence of discordant triage among moderate- and low-acuity pediatric ED encounters and the interaction with patient race, ethnicity, and language for care.

METHODS

We performed a retrospective analysis of pediatric ED encounters from 2019 with Emergency Severity Index (ESI) scores of 3, 4, or 5 at an academic referral hospital. The primary outcome was triage discordance, encompassing overtriage (ESI 3 and 4) and undertriage (ESI 4 and 5). Logistic and multinomial regressions were used to assess discordant triage by race, ethnicity, and language group.

RESULTS

Triage discordance occurred in 47% (n = 18,040) of encounters. Black and Hispanic patients had higher likelihood of undertriage for ESI 5 (adjusted odds ratio 1.21, 95% confidence interval [CI] 1.01-1.46 and 1.27, 95% CI 1.07-1.52, respectively), and Black patients were more likely to be overtriaged in ESI 3 (1.18, 95% CI 1.09-1.27). Those with a language other than English for care had higher proportions of overtriage for ESI 3 (1.08, 95% CI 1.04-1.12) and undertriage for ESI 5 (1.23, 95% CI 1.11-1.37).

CONCLUSIONS

We found high rates of triage discordance in our pediatric ED, with significant associations with race, ethnicity, and language for care. Future research should evaluate the source of triage discordance and develop quality improvement efforts to improve equitable care.

Emergency Severity Index Version 4 and Triage of Pediatric Emergency Department Patients

Importance

Most emergency departments (EDs) across the US use the Emergency Severity Index (ESI) to predict acuity and resource needs. A comprehensive assessment of ESI accuracy among pediatric patients is lacking.

Objective

To assess the frequency of mistriage using ESI (version 4) among pediatric ED visits using automated measures of mistriage and identify characteristics associated with mistriage.

Design, Setting, and Participants

This cohort study used operational measures for each ESI level to classify encounters as undertriaged, overtriaged, or correctly triaged to assess the accuracy of the ESI and identify characteristics of mistriage. Participants were pediatric patients at 21 EDs within Kaiser Permanente Northern California from January 1, 2016, to December 31, 2020. During that time, version 4 of the ESI was in use by these EDs. Visits with missing ESI, incomplete ED time variables, patients transferred from another ED, and those who left against medical advice or without being seen were excluded. Data were analyzed between January 2022 and June 2023.

Exposures

Assigned ESI level.

Main Outcomes and Measures

Rates of undertriage and overtriage by assigned ESI level based on mistriage algorithm, patient and visit characteristics associated with undertriage and overtriage.

Results

This study included 1 016 816 pediatric ED visits; the mean (SD) age of patients was 7.3 (5.6) years, 479 610 (47.2%) were female, and 537 206 (52.8%) were male. Correct triage occurred in 346 918 visits (34.1%; 95% CI, 34.0%-34.2%), while overtriage and undertriage occurred in 594 485 visits (58.5%; 95% CI, 58.4%-58.6%) and 75 413 visits (7.4%; 95% CI, 7.4%-7.5%), respectively. In adjusted analyses, undertriage was more common among children at least 6 years old compared with those younger 6 years; male patients compared with female patients; patients with Asian, Black, or Hispanic or other races or ethnicities compared with White patients; patients with comorbid illnesses compared with those without; and patients who arrived by ambulance compared with nonambulance patients.

Conclusions and Relevance

This multicenter retrospective study found that mistriage with ESI version 4 was common in pediatric ED visits. There is an opportunity to improve pediatric ED triage, both in early identification of critically ill patients (limit undertriage) and in more accurate identification of low-acuity patients with low resource needs (limit overtriage). Future research should include assessments based on version 5 of the ESI, which was released after this study was completed.

Racial differences in triage assessment at rural vs urban Maine emergency departments

Data continue to accumulate demonstrating that those belonging to racialized groups face implicit bias in the emergency care delivery system across many indices, including triage assessment. The Emergency Severity Index (ESI) was developed and widely implemented across the US to improve the objectivity of triage assessment and prioritization of care delivery; however, research continues to support the presence of subjective bias in triage assessment. We sought to assess the relationship between perceived race and/or need for translator and assigned ESI score and whether this was impacted by hospital geography. We performed retrospective EMR-based review of patients presenting to urban and rural emergency departments of a health system in Maine with one of the top ten most common chief complaints (CC) across a 5-year period, excluding psychiatric CCs. We used multivariable regression to analyze the relationships between perceived race, need for translator, and gender with ESI score, wait time, and hallway bed assignments. We found that patients perceived as non-white were more likely to receive lower acuity ESI scores and have longer wait times as compared to patients perceived as white. Patients perceived as female were more likely to receive lower acuity scores and wait longer to be seen than patients perceived as male. The need for an interpreter was associated with increased wait times but not significantly associated with ESI score. After stratification by hospital geography, evidence of subjective bias was limited to urban emergency departments and was not evident in rural emergency departments. Further investigation of subjective bias in emergency departments in Maine, particularly in urban settings, is warranted.

A qualitative study on the Virtual Emergency Department care experiences of equity-deserving populations

Patients from equity-deserving populations, such as those who are from racialized communities, the 2SLGBTQI+ community, who are refugees or immigrants, and/or who have a disability, may experience a unique set of challenges accessing virtual models of care. The objective of this qualitative study was to describe the experiences of patients from equity-deserving communities and their family members who received care from a Virtual Emergency Department (ED) in Toronto, Canada. Forty-three participants (36 patients and 7 family caregivers) with different and intersecting identities who used the Virtual ED participated in the study. Semi-structured interviews were conducted to explore reasons for accessing the Virtual ED, barriers to access, and how the Virtual ED met their care needs and expectations, including ways their experience could have been improved. Thematic analysis was used to identify themes from the data. Patients from equity-deserving populations described negative past experiences with ED in-person care, which included recounts of discrimination or culturally insensitive care while waiting to see the ED physician or nurse. Conversely, participants found the Virtual ED to be a socially and culturally safe space since they could now by-pass the waiting room experience. However, virtual care could not replace in-person care for certain issues (e.g., physical exam), and there was a need for greater promotion of the service to specific communities that might benefit from having access to the Virtual ED. Targeted outreach to help raise awareness of the service to equity-deserving communities is an important future direction.

Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing

OBJECTIVES

The study aims to assess racial and language disparities in pediatric emergency department (ED) triage using analytical techniques and provide insights into the extent and nature of the disparities in the ED setting.

MATERIALS AND METHODS

The study analyzed a cross-sectional dataset encompassing ED visits from January 2019 to April 2021. The study utilized analytical techniques, including K-mean clustering (KNN), multivariate adaptive regression splines (MARS), and natural language processing (NLP) embedding. NLP embedding and KNN were employed to handle the chief complaints and categorize them into clusters, while the MARS was used to identify significant interactions among the clinical features. The study also explored important variables, including age-adjusted vital signs. Multiple logistic regression models with varying specifications were developed to assess the robustness of analysis results.

RESULTS

The study consistently found that non-White children, especially African American (AA) and Hispanic, were often under-triaged, with AA children having >2 times higher odds of receiving lower acuity scores compared to White children. While the results are generally consistent, incorporating relevant variables modified the results for specific patient groups (eg, Asians).

DISCUSSION

By employing a comprehensive analysis methodology, the study checked the robustness of the analysis results on racial and language disparities in pediatric ED triage. The study also recognized the significance of analytical techniques in assessing pediatric health conditions and analyzing disparities.

CONCLUSION

The study's findings highlight the significant need for equal and fair assessment and treatment in the pediatric ED, regardless of their patients' race and language.

Pediatric Blunt Splenic Trauma: Disparities in Management and Outcomes

INTRODUCTION

While nonoperative management has become widely accepted, whether nonoperative management of blunt splenic trauma is standardized across pediatric trauma centers and different racial groups warrants further investigation. Using the National Trauma Database, the purpose of this study was to quantify the differences in the management of pediatric splenic trauma across different pediatric trauma centers, with respect to injury severity, race, ethnicity, and insurance.

METHODS

Patients under 20 y of age with blunt splenic trauma reported to the 2018 and 2019 National Trauma Data Bank were identified. Primary outcomes were splenectomy, embolization, transfusion, mortality, injury severity score (ISS), and length of hospital stay (LOS) and length of intensive care unit stay. Continuous data and categorical data were analyzed using ANOVA and Chi-squared test, respectively. Nearest 1:1 neighbor matching was performed between minority patients and White patients. P < 0.05 for all comparative analyses was considered statistically significant.

RESULTS

Of the total cohort (n = 1919), 70.3% identified as White, while 21.6% identified as Black or Hispanic. The mortality rate was 0.3%. Among different race categories, the frequency of spleen embolization (P = 0.99), splenectomy (P = 0.99), blood transfusion (P = 1), and mortality (P = 1), were not significantly different. After controlling for ISS and age with propensity score matching, the mean hospital LOS remained significantly higher in minority patients, with a mean of 5.44 d compared to 4.72 d (P = 0.05). Mean length of intensive care unit stay was not significantly different after propensity matching, with a mean of 1.79 d and 1.56 spent in the ICU for minority and White patients respectively (P = 0.17). While propensity score matching preserved statistical significance, the ISS for the minority group remained 1.12 times higher than the ISS of the Caucasian group. There was no statistically significant difference among races with respect to different payment methods and insurance status, although Black and Hispanic patients were proportionally underinsured.

CONCLUSIONS

While minority patients had a relatively higher number of operative interventions and longer hospital and ICU stays, after propensity score matching, mean ISS remained higher in the minority group. Our findings suggest that injury severity is likely to influence the difference in LOS between the two groups. Furthermore, our data highlight how nonoperative management is not standardized across pediatric trauma centers.

Racial and ethnic inequities in the quality of paediatric care in the USA: a review of quantitative evidence

Racial and ethnic inequities in paediatric care have received increased research attention over the past two decades, particularly in the past 5 years, alongside an increased societal focus on racism. In this Series paper, the first in a two-part Series focused on racism and child health in the USA, we summarise evidence on racial and ethnic inequities in the quality of paediatric care. We review studies published between Jan 1, 2017 and July 31, 2022, that are adjusted for or stratified by insurance status to account for group differences in access, and we exclude studies in which differences in access are probably driven by patient preferences or the appropriateness of intervention. Overall, the literature reveals widespread patterns of inequitable treatment across paediatric specialties, including neonatology, primary care, emergency medicine, inpatient and critical care, surgery, developmental disabilities, mental health care, endocrinology, and palliative care. The identified studies indicate that children from minoritised racial and ethnic groups received poorer health-care services relative to non-Hispanic White children, with most studies drawing on data from multiple sites, and accounting for indicators of family socioeconomic position and clinical characteristics (eg, comorbidities or condition severity). The studies discussed a range of potential causes for the observed disparities, including implicit biases and differences in site of care or clinician characteristics. We outline priorities for future research to better understand and address paediatric treatment inequities and implications for practice and policy. Policy changes within and beyond the health-care system, discussed further in the second paper of this Series, are essential to address the root causes of treatment inequities and to promote equitable and excellent health for all children.

Research Priorities for Pediatric Emergency Care to Address Disparities by Race, Ethnicity, and Language

Importance

Health care disparities are well-documented among children based on race, ethnicity, and language for care. An agenda that outlines research priorities for disparities in pediatric emergency care (PEC) is lacking.

Objective

To investigate research priorities for disparities in PEC among medical personnel, researchers, and health care-affiliated community organizations.

Design, Setting, and Participants

In this survey study, a modified Delphi approach was used to investigate research priorities for disparities in PEC. An initial list of research priorities was developed by a group of experienced PEC investigators in 2021. Partners iteratively assessed the list through 2 rounds of electronic surveys using Likert-type responses in late 2021 and early 2022. Priorities were defined as achieving consensus if they received a score of highest priority or priority by at least 60% of respondents. Asynchronous engagement of participants via online web-conferencing platforms and email correspondence with electronic survey administration was used. Partners were individuals and groups involved in PEC. Participants represented interest groups, research and medical personnel organizations, health care partners, and laypersons with roles in community and family hospital advisory councils. Participants were largely from the US, with input from international PEC research networks.

Outcome

Consensus agenda of research priorities to identify and address health care disparities in PEC.

Results

PEC investigators generated an initial list of 27 potential priorities. Surveys were completed by 38 of 47 partners (80.6%) and 30 of 38 partners (81.1%) in rounds 1 and 2, respectively. Among 30 respondents who completed both rounds, there were 7 family or community partners and 23 medical or research partners, including 4 international PEC research networks. A total of 12 research priorities achieved the predetermined consensus threshold: (1) systematic efforts to reduce disparities; (2) race, ethnicity, and language data collection and reporting; (3) recognizing and mitigating clinician implicit bias; (4) mental health disparities; (5) social determinants of health; (6) language and literacy; (7) acute pain-management disparities; (8) quality of care equity metrics; (9) shared decision-making; (10) patient experience; (11) triage and acuity score assignment; and (12) inclusive research participation.

Conclusions and Relevance

These results suggest a research priority agenda that may be used as a guide for investigators, research networks, organizations, and funding agencies to engage in and support high-priority disparities research topics in PEC.

Race and Ethnicity and Primary Language in Emergency Department Triage

Importance

Emergency department (ED) triage substantially affects how long patients wait for care but triage scoring relies on few objective criteria. Prior studies suggest that Black and Hispanic patients receive unequal triage scores, paralleled by disparities in the depth of physician evaluations.

Objectives

To examine whether racial disparities in triage scores and physician evaluations are present across a multicenter network of academic and community hospitals and evaluate whether patients who do not speak English face similar disparities.

Design, Setting, and Participants

This was a cross-sectional, multicenter study examining adults presenting between February 28, 2019, and January 1, 2023, across the Mass General Brigham Integrated Health Care System, encompassing 7 EDs: 2 urban academic hospitals and 5 community hospitals. Analysis included all patients presenting with 1 of 5 common chief symptoms.

Exposures

Emergency department nurse-led triage and physician evaluation.

Main Outcomes and Measures

Average Triage Emergency Severity Index [ESI] score and average visit work relative value units [wRVUs] were compared across symptoms and between individual minority racial and ethnic groups and White patients.

Results

There were 249 829 visits (149 861 female [60%], American Indian or Alaska Native 0.2%, Asian 3.3%, Black 11.8%, Hispanic 18.8%, Native Hawaiian or Other Pacific Islander <0.1%, White 60.8%, and patients identifying as Other race or ethnicity 5.1%). Median age was 48 (IQR, 29-66) years. White patients had more acute ESI scores than Hispanic or Other patients across all symptoms (eg, chest pain: Hispanic, 2.68 [95% CI, 2.67-2.69]; White, 2.55 [95% CI, 2.55-2.56]; Other, 2.66 [95% CI, 2.64-2.68]; P < .001) and Black patients across most symptoms (nausea/vomiting: Black, 2.97 [95% CI, 2.96-2.99]; White: 2.90 [95% CI, 2.89-2.91]; P < .001). These differences were reversed for wRVUs (chest pain: Black, 4.32 [95% CI, 4.25-4.39]; Hispanic, 4.13 [95% CI, 4.08-4.18]; White 3.55 [95% CI, 3.52-3.58]; Other 3.96 [95% CI, 3.84-4.08]; P < .001). Similar patterns were seen for patients whose primary language was not English.

Conclusions and Relevance

In this cross-sectional study, patients who identified as Black, Hispanic, and Other race and ethnicity were assigned less acute ESI scores than their White peers despite having received more involved physician workups, suggesting some degree of mistriage. Clinical decision support systems might reduce these disparities but would require careful calibration to avoid replicating bias.

Automated analysis of unstructured clinical assessments improves emergency department triage performance: A retrospective deep learning analysis

Objectives

Efficient and accurate emergency department (ED) triage is critical to prioritize the sickest patients and manage department flow. We explored the use of electronic health record data and advanced predictive analytics to improve triage performance.

Methods

Using a data set of over 5 million ED encounters of patients 18 years and older across 21 EDs from 2016 to 2020, we derived triage models using deep learning to predict 2 outcomes: hospitalization (primary outcome) and fast-track eligibility (exploratory outcome), defined as ED discharge with <2 resource types used (eg, laboratory or imaging studies) and no critical events (eg, resuscitative medications use or intensive care unit [ICU] admission). We report area under the receiver operator characteristic curve (AUC) and 95% confidence intervals (CI) for models using (1) triage variables alone (demographics and vital signs), (2) triage nurse clinical assessment alone (unstructured notes), and (3) triage variables plus clinical assessment for each prediction target.

Results

We found 12.7% of patients were hospitalized (n = 673,659) and 37.0% were fast-track eligible (n = 1,966,615). The AUC was lowest for models using triage variables alone: AUC 0.77 (95% CI 0.77-0.78) and 0.70 (95% CI 0.70-0.71) for hospitalization and fast-track eligibility, respectively, and highest for models incorporating clinical assessment with triage variables for both hospitalization and fast-track eligibility: AUC 0.87 (95% CI 0.87-0.87) for both prediction targets.

Conclusion

Our findings highlight the potential to use advanced predictive analytics to accurately predict key ED triage outcomes. Predictive accuracy was optimized when clinical assessments were added to models using simple structured variables alone.

Evaluation of the Emergency Severity Index in US Emergency Departments for the Rate of Mistriage

Importance

Accurate emergency department (ED) triage is essential to prioritize the most critically ill patients and distribute resources appropriately. The most used triage system in the US is the Emergency Severity Index (ESI).

Objectives

To derive and validate an algorithm to assess the rate of mistriage and to identify characteristics associated with mistriage.

Design, Setting, and Participants

This retrospective cohort study created operational definitions for each ESI level that use ED visit electronic health record data to classify encounters as undertriaged, overtriaged, or correctly triaged. These definitions were applied to a retrospective cohort to assess variation in triage accuracy by facility and patient characteristics in 21 EDs within the Kaiser Permanente Northern California (KPNC) health care system. All ED encounters by patients 18 years and older between January 1, 2016, and December 31, 2020, were assessed for eligibility. Encounters with missing ESI or incomplete ED time variables and patients who left against medical advice or without being seen were excluded. Data were analyzed between January 1, 2021, and November 30, 2022.

Exposures

Assigned ESI level.

Main Outcomes and Measures

Rate of undertriage and overtriage by assigned ESI level based on a mistriage algorithm and patient and visit characteristics associated with undertriage and overtriage.

Results

A total of 5 315 176 ED encounters were included. The mean (SD) patient age was 52 (21) years; 44.3% of patients were men and 55.7% were women. In terms of race and ethnicity, 11.1% of participants were Asian, 15.1% were Black, 21.4% were Hispanic, 44.0% were non-Hispanic White, and 8.5% were of other (includes American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multiple races or ethnicities), unknown, or missing race or ethnicity. Mistriage occurred in 1 713 260 encounters (32.2%), of which 176 131 (3.3%) were undertriaged and 1 537 129 (28.9%) were overtriaged. The sensitivity of ESI to identify a patient with high-acuity illness (correctly assigning ESI I or II among patients who had a life-stabilizing intervention) was 65.9%. In adjusted analyses, Black patients had a 4.6% (95% CI, 4.3%-4.9%) greater relative risk of overtriage and an 18.5% (95% CI, 16.9%-20.0%) greater relative risk of undertriage compared with White patients, while Black male patients had a 9.9% (95% CI, 9.8%-10.0%) greater relative risk of overtriage and a 41.0% (95% CI, 40.0%-41.9%) greater relative risk of undertriage compared with White female patients. High relative risk of undertriage was found among patients taking high-risk medications (30.3% [95% CI, 28.3%-32.4%]) and those with a greater comorbidity burden (22.4% [95% CI, 20.1%-24.4%]) and recent intensive care unit utilization (36.7% [95% CI, 30.5%-41.4%]).

Conclusions and Relevance

In this retrospective cohort study of over 5 million ED encounters, mistriage with ESI was common. Quality improvement should focus on limiting critical undertriage, optimizing resource allocation by patient need, and promoting equity.

Race, racism, and antiracism in emergency medicine: A scoping review of the literature and research agenda for the future

OBJECTIVES

The objective was to conduct a scoping review of the literature and develop consensus-derived research priorities for future research inquiry in an effort to (1) identify and summarize existing research related to race, racism, and antiracism in emergency medicine (EM) and adjacent fields and (2) set the agenda for EM research in these topic areas.

METHODS

A scoping review of the literature using PubMed and EMBASE databases, as well as review of citations from included articles, formed the basis for discussions with community stakeholders, who in turn helped to inform and shape the discussion and recommendations of participants in the Society for Academic Emergency Medicine (SAEM) consensus conference. Through electronic surveys and two virtual meetings held in April 2021, consensus was reached on terminology, language, and priority research questions, which were rated on importance or impact (highest, medium, lower) and feasibility or ease of answering (easiest, moderate, difficult).

RESULTS

A total of 344 articles were identified through the literature search, of which 187 met inclusion criteria; an additional 34 were identified through citation review. Findings of racial inequities in EM and related fields were grouped in 28 topic areas, from which emerged 44 key research questions. A dearth of evidence for interventions to address manifestations of racism in EM was noted throughout.

CONCLUSIONS

Evidence of racism in EM emerged in nearly every facet of our literature. Key research priorities identified through consensus processes provide a roadmap for addressing and eliminating racism and other systems of oppression in EM.

First Nations status and emergency department triage scores in Alberta: a retrospective cohort study

BACKGROUND

Previous studies have found that race is associated with emergency department triage scores, raising concerns about potential health care inequity. As part of a project on quality of care for First Nations people in Alberta, we sought to understand the relation between First Nations status and triage scores.

METHODS

We conducted a population-based retrospective cohort study of health administrative data from April 2012 to March 2017 to evaluate acuity of triage scores, categorized as a binary outcome of higher or lower acuity score. We developed multivariable multilevel logistic mixed-effects regression models using the levels of emergency department visit, patient (for patients with multiple visits) and facility. We further evaluated the triage of visits related to 5 disease categories and 5 specific diagnoses to better compare triage outcomes of First Nations and non-First Nations patients.

RESULTS

First Nations status was associated with lower odds of receiving higher acuity triage scores (odds ratio [OR] 0.93, 95% confidence interval [CI] 0.92-0.94) compared with non-First Nations patients in adjusted models. First Nations patients had lower odds of acute triage for all 5 disease categories and for 3 of 5 diagnoses, including long bone fractures (OR 0.82, 95% CI 0.76-0.88), acute upper respiratory infection (OR 0.90, 95% CI 0.84-0.98) and anxiety disorder (OR 0.67, 95% CI 0.60-0.74).

INTERPRETATION

First Nations status was associated with lower odds of higher acuity triage scores across a number of conditions and diagnoses. This may reflect systemic racism, stereotyping and potentially other factors that affected triage assessments.

We are part of the problem: the role of children's hospitals in addressing health inequity

Racism is an ongoing public health crisis that undermines health equity for all children in hospitals across our nation. The presence and impact of institutionalized racism contributes to health inequity and is under described in the medical literature. In this review, we focus on key interdependent areas to foster inclusion, diversity, and equity in Children's Hospitals, including 1) promotion of workforce diversity 2) provision of anti-racist, equitable hospital patient care, and 3) prioritization of academic scholarship focused on health equity research, quality improvement, medical education, and advocacy. We discuss the implications for clinical and academic practice.Plain Language Summary: Racism in Children's Hospitals harms children. We as health-care providers and hospital systems are part of the problem. We reviewed the literature for the best ways to foster inclusion, diversity, and equity in hospitals. Hospitals can be leaders in improving child health equity by supporting a more diverse workforce, providing anti-racist patient care, and prioritizing health equity scholarship.

Racial/ethnic disparities in emergency department wait times in the United States, 2013-2017

BACKGROUND

Previous research shows that Black and Hispanic patients have longer ED wait times than White patients, but these data do not reflect recent changes such as the Affordable Care Act. In addition, previous research does not account for the non-normal distribution of wait times, wherein a sizable subgroup of patients seen promptly and those not seen promptly experience long wait times.

METHODS

We utilized National Hospital Ambulatory Medical Care Survey (NHAMCS) datasets (2013-2017) to examine mean ED wait time comparing visits by Black, Hispanic, and Asian patients to White patients. Using a two-part regression model, we adjusted for patient, hospital, and health system factors, and estimated differences, for each of five triage levels, in (a) likelihood of waiting at least 5 min and (b) difference in wait time among those not seen promptly.

RESULTS

Our cohort included 38,800 White, 14,838 Black, 10,619 Hispanic, and 1257 Asian patient visits. Black (triage level 3) and Hispanic (triage levels 3 and 4) patients had longer mean wait times than White patients. Adjusted likelihood of not being seen promptly was lower among Blacks (triage levels 3, 4 and 5), Hispanics (triage level 5) and Asians (triage level 5) compared to Whites. Among those waiting at least 5 min, adjusted wait time was longer among Blacks in triage level 3 (5.2 min, 95% CI, 1.3 to 9.0) and level 4 (2.5 min, 95% CI, 0.2 to 4.9), Hispanics in triage level 4 (4.7 min, 95% CI, 1.7 to 7.7) and Asians in triage level 5 (16.3 min, 95% CI, 0.6 to 31.9) compared to Whites.

CONCLUSIONS

Minority patients were less likely to wait to be seen, but waited longer if not seen promptly. These data exhibit that ED wait time disparities persist for African American and Hispanic patients and extend this observation to Asian patients.