Understanding Contributors to Racial/Ethnic Disparities in Emergency Department Throughput Times: a Sequential Mixed Methods Analysis

Antibiotic Overtreatment of Presumed Urinary Tract Infection among Children with Spina Bifida

OBJECTIVE

To identify factors associated with overtreatment of presumed urinary tract infection (UTI) among children with spina bifida using such criteria.

STUDY DESIGN

A retrospective review of children with spina bifida (age < 21 years) evaluated in the Emergency Department (ED) at a single institution was performed. Patients with a urinalysis (UA) performed who were reliant on assisted bladder emptying were included. The primary outcome was overtreatment, defined as receiving antibiotics for presumed UTI but ultimately not meeting spina bifida UTI criteria (≥ 2 urologic symptoms plus pyuria and urine culture growing >100k CFU/mL). The primary exposure was whether the components of the criteria available at the time of the ED visit (≥ 2 urologic symptoms plus pyuria) were met when antibiotics were initiated.

RESULTS

Among 236 ED encounters, overtreatment occurred in 80% of cases in which antibiotics were initiated (47% of the entire cohort). Pyuria with <2 urologic symptoms was the most important factor associated with overtreatment (OR 9.6). Non-Hispanic White race was associated with decreased odds of overtreatment (OR 0.3).

CONCLUSIONS

Overtreatment of presumed UTI among patients with spina bifida was common. Pyuria, which is not specific to UTI in this population, was the main driver of overtreatment. Symptoms are a cornerstone of UTI diagnosis among children with spina bifida, should be collected in a standardized manner, and considered in a decision to treat.

Triage Accuracy of Emergency Nurses: An Evidence-Based Review

INTRODUCTION

Accurate triage assessment by emergency nurses is essential for prioritizing patient care and providing appropriate treatment. Undertriage and overtriage remain an ongoing issue in care of patients who present to the emergency department. The purpose of this literature review was to examine factors associated with triage accuracy in the emergency department.

METHODS

We conducted an evidence-based literature review using the Cumulative Index to Nursing and Allied Health Literature, PubMed, and Embase. The search focused on peer-reviewed articles in English, available in full text, published between January 2011 and December 2021.

RESULTS

A total of 14 articles met inclusion criteria and revealed the following 3 themes for triage accuracy: triage nurse characteristics, patient characteristics, and work environment. Triage nurses' accuracy rates ranged from 59.3% to 82%, with experience in triage associated with higher accuracy. Patient characteristics influenced triage accuracy, with nontrauma patients being undertriaged and trauma patients often overtriaged. The work environment played a role, as accuracy rates varied based on shift time and patient volume. Competing systems between prehospital and ED triage posed challenges and affected accuracy during fluctuations in patient volumes.

DISCUSSION

This review underscores the complex nature of ED triage accuracy. It highlights the importance of nurse experience, training programs, patient characteristics, and the work environment in enhancing triage decision making. Enhanced understanding of these factors can inform strategies to optimize triage accuracy and improve patient outcomes.

Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage

Objective

To investigate how missing data in the patient problem list may impact racial disparities in the predictive performance of a machine learning (ML) model for emergency department (ED) triage.

Materials and Methods

Racial disparities may exist in the missingness of EHR data (eg, systematic differences in access, testing, and/or treatment) that can impact model predictions across racialized patient groups. We use an ML model that predicts patients' risk for adverse events to produce triage-level recommendations, patterned after a clinical decision support tool deployed at multiple EDs. We compared the model's predictive performance on sets of observed (problem list data at the point of triage) versus manipulated (updated to the more complete problem list at the end of the encounter) test data. These differences were compared between Black and non-Hispanic White patient groups using multiple performance measures relevant to health equity.

Results

There were modest, but significant, changes in predictive performance comparing the observed to manipulated models across both Black and non-Hispanic White patient groups; c-statistic improvement ranged between 0.027 and 0.058. The manipulation produced no between-group differences in c-statistic by race. However, there were small between-group differences in other performance measures, with greater change for non-Hispanic White patients.

Discussion

Problem list missingness impacted model performance for both patient groups, with marginal differences detected by race.

Conclusion

Further exploration is needed to examine how missingness may contribute to racial disparities in clinical model predictions across settings. The novel manipulation method demonstrated may aid future research.

Disparities in access to specialty care and emergency department use after hospital discharge to a skilled nursing facility

BACKGROUND

Patterns in access to specialists among patients in skilled nursing facilities (SNFs) have not been previously described.

OBJECTIVE

To measure access to outpatient specialty follow-up and subsequent emergency department (ED) visits by patient characteristics, including race/ethnicity and those who received specialty care during the hospitalization that preceded the SNF stay.

DESIGN, SETTINGS, AND PARTICIPANTS

This retrospective cohort study used the minimum data set and 100% Medicare fee-for-service claims for beneficiaries admitted to an SNF between 2012 and 2014. Hospital stays for surgical procedures were excluded.

MAIN OUTCOME AND MEASURES

The associations between ED visits, follow-up, and race/ethnicity were measured using logistic and linear regression, adjusting for patient demographic and clinical characteristics.

RESULTS

The sample included 1,117,632 hospitalizations by Medicare beneficiaries ≥65 with a consult by a medical subspecialist followed by discharge to SNF. Of the sample, 85.4% were non-Hispanic White (NHW) and 14.6% were Black, indigenous, and people of color (BIPOC), according to Medicare beneficiary records. During the SNF stay, BIPOC patients had lower odds of specialty follow-up compared to NHW patients (odds ratio [OR]: 0.96, 95% confidence intervals [CI]: 0.94-0.99, p = .004). BIPOC patients had higher rates of ED visits compared to NHW patients (with follow-up: 24.1% vs. 23.4%, and without follow-up: 27.4% vs. 25.9%, p < .001). Lack of follow-up was associated with a 0.8 percentage point difference in ED visits between BIPOC and NHW patients (95% CI: 0.3-1.3, p = .003).

CONCLUSIONS

There is a racial/ethnic disparity in subspecialty follow-up after hospital discharge to SNF that is associated with a higher rate of subsequent ED visits by BIPOC patients.

A Quality Framework to Address Racial and Ethnic Disparities in Emergency Department Care

The emergency department serves as a vital source of health care for residents in the United States, including as a safety net. However, patients from minoritized racial and ethnic groups have historically experienced disproportionate barriers to accessing health care services and lower quality of services than White patients. Quality measures and their application to quality improvement initiatives represent a critical opportunity to incentivize health care systems to advance health equity and reduce health disparities. Currently, there are no nationally recognized quality measures that track the quality of emergency care delivery by race and ethnicity and no published frameworks to guide the development and prioritization of quality measures to reduce health disparities in emergency care. To address these gaps, the American College of Emergency Physicians (ACEP) convened a working group of experts in quality measurement, health disparities, and health equity to develop guidance on establishing quality measures to address racial and ethnic disparities in the provision of emergency care. Based on iterative discussion over 3 working group meetings, we present a summary of existing emergency medicine quality measures that should be adapted to track racial and ethnic disparities, as well as a framework for developing new measures that focus on disparities in access to emergency care, care delivery, and transitions of care.