Investigating racial disparities within an emergency department rapid-triage system

Race and Ethnicity and Diagnostic Testing for Common Conditions in the Acute Care Setting

Importance

Overuse of diagnostic testing is pervasive, but the extent to which it varies by race and ethnicity in the acute care setting is poorly understood.

Objective

To use a previously validated diagnostic intensity index to evaluate differences in diagnostic testing rates by race and ethnicity in the acute care setting, which may serve as a surrogate for diagnostic test overuse.

Design, Setting, and Participants

This was a cross-sectional study of emergency department (ED) discharges, hospital observation stays, and hospital admissions using administrative claims among EDs and acute care hospitals in Kentucky, Maryland, North Carolina, and New Jersey, from 2016 through 2018. The diagnostic intensity index pairs nonspecific principal discharge diagnoses (nausea and vomiting, abdominal pain, chest pain, and syncope) with related diagnostic tests to estimate rates of nondiagnostic testing. Adults with an acute care encounter with a principal discharge diagnosis of interest were included. Data were analyzed from January to February 2024.

Exposure

Race and ethnicity (Asian, Black, Hispanic, White, other [including American Indian, multiracial, and multiethnic], and missing).

Main Outcomes and Measures

Receipt of a diagnostic test. Generalized linear models with a hospital-specific indicator variable were estimated to calculate the adjusted odds ratio of receiving a test related to the principal discharge diagnosis by race and ethnicity, controlling for primary payer and zip code income quartile.

Results

Of 3 683 055 encounters (1 055 575 encounters [28.7%] for Black, 300 333 encounters [8.2%] for Hispanic, and 2 140 335 encounters [58.1%] for White patients; mean [SD] age of patients with encounters, 47.3 [18.8] years; 2 233 024 encounters among females [60.6%]), most (2 969 974 encounters [80.6%]) were ED discharges. Black compared with White patients discharged from the ED with a diagnosis of interest had an adjusted odds ratio of 0.74 (95% CI, 0.72-0.75) of having related diagnostic testing. No other racial or ethnic disparities of a similar magnitude were observed in any acute care settings.

Conclusions and Relevance

In this study, White patients discharged from the ED with a nonspecific diagnosis of interest were significantly more likely than Black patients to receive related diagnostic testing. The extent to which this represents diagnostic test overuse in White patients vs undertesting and missed diagnoses in Black patients deserves further study.

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.

The Impact of Health Care Algorithms on Racial and Ethnic Disparities : A Systematic Review

BACKGROUND

There is increasing concern for the potential impact of health care algorithms on racial and ethnic disparities.

PURPOSE

To examine the evidence on how health care algorithms and associated mitigation strategies affect racial and ethnic disparities.

DATA SOURCES

Several databases were searched for relevant studies published from 1 January 2011 to 30 September 2023.

STUDY SELECTION

Using predefined criteria and dual review, studies were screened and selected to determine: 1) the effect of algorithms on racial and ethnic disparities in health and health care outcomes and 2) the effect of strategies or approaches to mitigate racial and ethnic bias in the development, validation, dissemination, and implementation of algorithms.

DATA EXTRACTION

Outcomes of interest (that is, access to health care, quality of care, and health outcomes) were extracted with risk-of-bias assessment using the ROBINS-I (Risk Of Bias In Non-randomised Studies - of Interventions) tool and adapted CARE-CPM (Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models) equity extension.

DATA SYNTHESIS

Sixty-three studies (51 modeling, 4 retrospective, 2 prospective, 5 prepost studies, and 1 randomized controlled trial) were included. Heterogenous evidence on algorithms was found to: a) reduce disparities (for example, the revised kidney allocation system), b) perpetuate or exacerbate disparities (for example, severity-of-illness scores applied to critical care resource allocation), and/or c) have no statistically significant effect on select outcomes (for example, the HEART Pathway [history, electrocardiogram, age, risk factors, and troponin]). To mitigate disparities, 7 strategies were identified: removing an input variable, replacing a variable, adding race, adding a non-race-based variable, changing the racial and ethnic composition of the population used in model development, creating separate thresholds for subpopulations, and modifying algorithmic analytic techniques.

LIMITATION

Results are mostly based on modeling studies and may be highly context-specific.

CONCLUSION

Algorithms can mitigate, perpetuate, and exacerbate racial and ethnic disparities, regardless of the explicit use of race and ethnicity, but evidence is heterogeneous. Intentionality and implementation of the algorithm can impact the effect on disparities, and there may be tradeoffs in outcomes.

PRIMARY FUNDING SOURCE

Agency for Healthcare Quality and Research.

Racial Disparities in Opioid Administration Practices Among Undifferentiated Abdominal Pain Patients in the Emergency Department

OBJECTIVES

The purpose of this study was to examine racial disparities in opioid prescribing practices for patients presenting to the emergency department (ED) with a common chief complaint of abdominal pain.

METHODS

Treatment outcomes were compared for non-Hispanic White (NH White), non-Hispanic Black (NH Black), and Hispanic patients seen over 12 months in three emergency departments in the Minneapolis/St. Paul metropolitan area. Multivariable logistic regression models were used to estimate odds ratios (OR) with 95% confidence intervals (CI) to measure the associations between race/ethnicity and outcomes of opioid administration during ED visits and discharge opioid prescriptions.

RESULTS

A total of 7309 encounters were included in the analysis. NH Black (n = 1988) and Hispanic patients (n = 602) were more likely than NH White patients (n = 4179) to be in the 18-39 age group (p < 0. 001). NH Black patients were more likely to report public insurance than NH White or Hispanic patients (p < 0.001). After adjusting for confounders, patients who identified as NH Black (OR: 0.64, 95% CI: 0.56-0.74) or Hispanic (OR: 0.78, 95% CI: 0.61-0.98) were less likely to be given opioids during their ED encounter when compared to NH White patients. Similarly, NH Black patients (OR: 0.62, 95% CI: 0.52-0.75) and Hispanic patients (OR: 0.66, 95% CI: 0.49-0.88) were less likely to receive a discharge opioid prescription.

CONCLUSIONS

These results confirm that racial disparities exist in the ED opioid administration within the department as well as at discharge. Future studies should continue to examine systemic racism as well as interventions to alleviate these health inequities.

Investigating Racial Disparities in Chemical and Physical Restraint of Mental Health Patients in the Emergency Department

The primary aim of this study is to examine whether racial disparities exist in the use of physical or chemical restraints in the emergency department (ED). The secondary aim is to explore if there are disparities in type or intensity of restraint. We examined ED encounters for acute mental health crises from a single health system over a 3-year period. Univariate and multivariate logistic regression models were used to examine associations of race/ethnicity with primary outcomes of physical and/or chemical restraint and a measure of restraint intensity among patients physically restrained. The study sample included 18,938 ED encounters with completed psychiatric consultations representing 13,316 unique patients. Restraint use was experienced by one-third of the sample (32.6%): 27.9% chemical restraint, 0.8% physical restraint, 3.9% both physical and chemical. In adjusted logistic regression models, odds of chemical restraint were lower for non-Hispanic (NH) Black (OR 0.83, 95% CI: 0.74, 0.93), NH Asian (OR 0.63, 95% CI: 0.47, 0.83), and Hispanic (OR 0.79, 95% CI: 0.65, 0.95) patients relative to NH White, with no difference for NH American Indian and multiracial. In the models assessing physical restraint use, there were no statistically significant differences by race/ethnicity. Among patients who were physically restrained, there were no differences in the adjusted models of high versus low intensity of the restraint type used. Among ED patients at high risk for restraint, patients of minority race/ethnicity were not found to have increased likelihood of restraint or intensity of restraint.