NHAMCS Validation of Emergency Severity Index as an Indicator of Emergency Department Resource Utilization

Impact of Medical Trainees on Efficiency and Productivity in the Emergency Department: Systematic Review and Narrative Synthesis

Introduction

Effective medical education must balance clinical service demands for institutions and learning needs of trainees. The question of whether these are competing demands or can serve complementary roles has profound impacts on graduate medical education, ranging from funding decisions to the willingness of community-based hospitals and physicians to include learners at their clinical sites. Our objective in this article was to systematically review the evidence on the impact of medical trainees on productivity and efficiency in the emergency department (ED).

Methods

We queried PubMed, Embase, Scopus, and Web of Science from earliest available dates to March 2023. We identified all studies evaluating the impact of medical students and/or residents in the ED on commonly used productivity and efficiency metrics. Only studies in EDs in the United States were included. No additional filters were used. We assessed the risk of bias of included studies using the Risk of Bias in Non-randomized Studies - of Interventions (ROBINS-I) tool. Certainty of evidence was rated using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Study findings were combined in a narrative synthesis and reported according to PRISMA guidelines.

Results

The literature search yielded 3,390 unique articles for abstract screening. Eighty-one abstracts were identified as relevant to our PICO question (population, intervention, control, and outcomes), 76 of which had retrievable full-text articles and the themes of which were discussed in a narrative synthesis. We selected 13 of the full-text articles for final inclusion in a systematic review. Studies were roughly split between observational (6) and quasi-experimental (7) designs. The majority of studies (11) were single-site studies. Only two studies could be graded as low risk of bias per the ROBINS-I tool.

Conclusion

Low-GRADE evidence suggests that students and residents decrease ED efficiency by a statistically small effect size of debatable clinical importance. Residents provide a moderate boost to ED productivity. Students do not produce a statistically or clinically significant impact on ED productivity. Residents increase emergency department relative value units revenue by $26.30 an hour, while students have no impact. Both types of learners decrease efficiency.

Acuity-based rotational patient-to-physician assignment in an emergency department using electronic health records in triage

Emergency department (ED) operational metrics generated by a new acuity-based rotational patient-to-physician assignment (ARPA) algorithm are compared with those obtained with a simple rotational patient assignment (SRPA) system aimed only at an equitable patient distribution. The new ARPA method theoretically guarantees that no two physicians' assigned patient loads can differ by more than one, either partially (by acuity levels) or in total; whereas SRPA guarantees only the latter. The performance of the ARPA method was assessed in practice in the ED of the main public hospital (Hospital Compound of Navarra) in the region of Navarre in Spain. This ED attends over 140 000 patients every year. Data analysis was conducted on 9,063 ED patients in the SRPA cohort, and 8,892 ED patients in the ARPA cohort. The metrics of interest are related both to patient access to healthcare and physician workload distribution: patient length of stay; arrival-to-provider time; ratio of patients exceeding the APT target threshold; and range of assigned patients across physicians by priority levels. The transition from SRPA to ARPA is associated with improvements in all ED operational metrics. This research demonstrates that ARPA is a simple and useful strategy for redesigning front-end ED processes.

A Comparative Analysis of Hospital Triage Systems in the Geriatric Adult Trauma Patients: A Quality Improvement Pilot Study

BACKGROUND

The objective of our study is to compare the predicted hospital admission disposition based on the level of risk as determined by the modified Trauma-Specific Frailty Index (mTSFI) score with those determined by arbitrary decisions made based on the Emergency Severity Index (ESI) severity level.

METHODS

We surveyed 100 trauma patients ages 50 and older, admitted to a level 1 trauma center between April 2019 and July 2019. We retrospectively reviewed the hospital admission disposition of each patient under the ESI, which was then compared to the mTSFI-predicted hospital admission disposition. The mTSFI scores were calculated by surveying each patient. Statistical analysis was performed to identify any statistical significance of concordance and discordance when comparing the mTSFI and ESI.

RESULTS

The average age was 57.6 ± 4.2 years old in the non-geriatric group vs 76.3 ± 7.3 years old in the geriatric group. There was a male predominance in both groups (61% vs 69.5%). The mTSFI identified a higher percentage of triage discordance in the non-geriatric group (73%) compared to the geriatric cohort (53%) (95% difference CI, [39.6-40], P = .05).

DISCUSSION

Non-geriatric patients have higher recorded rate of frailty than previously recognized and screening should begin at age 50, not 65. The mTSFI may be an effective tool to appropriately triage adult trauma patients at increased risk due to frailty and may reduce in-hospital complications.

A dangerously underrated entity? Non-specific complaints at emergency department presentation are associated with utilisation of less diagnostic resources

BACKGROUND

Patients presenting with non-specific complaints (NSC), such as generalised weakness, or feeling unwell, constitute about 20% of emergency care consultations. In contrast to patients presenting with specific symptoms, these patients experience more hospitalisations, longer stays in hospital and even higher mortality. However, little is known about the actual resources spent on patients with NSC in the emergency department (ED).

METHODS

We have conducted a retrospective analysis from January 1st, 2013 until December 31st, 2017 in a Swiss tertiary care ED to assess the impact of NSC on the utilisation of diagnostic resources in adult patients with highlyurgent or urgent medical complaints.

RESULTS

We randomly selected 1500 medical consultations from our electronic health record database: The majority of patients (n = 1310, 87.3%) presented with a specific complaint; n = 190 (12.7%) with a NSC. Univariate analysis showed no significant difference in the utilisation of total diagnostic resources in the ED [specific complaints: 844 (577-1313) vs. NSC: 778 (551-1183) tax points, p = 0.092, median (interquartile range)]. A backward selection logistic regression model was adjusted for the identified covariates (age, diabetes, cerebrovascular and liver disease, malignancy, past myocardial infarction, antihypertensive, antithrombotic or antidiabetic medication, night or weekend admission and triage category). This identified a significant association of NSC with lower utilisation of ED diagnostic resources [geometric mean ratio (GMR) 0.91, 95% CI: 0.84-0.99, p = 0.042].

CONCLUSIONS

Non-specific complaints (NSC) are a frequent reason for emergency medicine consultations and are associated with lower utilisation of diagnostic resources during ED diagnostic testing than with specific complaints.

A descriptive study of demographics, triage allocations and patient outcomes at a private emergency centre in Pretoria

BACKGROUND

Triage aims to detect critically ill patients and to prioritise those with time-sensitive needs, whilst contributing to the efficiency of an emergency centre (EC). International systems have been relatively well researched; however, little data exists on the use of the South African Triage Scale (SATS) in private healthcare settings in South Africa (SA).

METHODS

A retrospective descriptive study was undertaken. Data relating to demographics, application of triage, time in EC and disposition were collected on all patients presenting to the EC from 1st January to 31st December 2018.

RESULTS

A total of 29 055 patients' data were included. The mean age was 41 years. Most patients were triaged yellow (73.5%); 17.4% were triaged as red and orange. Patients were seen by a doctor in a mean time of 28 min. Delays to be seen exceeded standards for red and orange patients at 8 min and 18 min, respectively. Most patients (76.1%) were discharged; 5.6% were admitted to intensive care unit (ICU)/high care, and 14.4% to general wards. Of patients triaged red and orange, 11.1% and 49.3% were discharged, respectively, whereas 81.7% of yellow patients were discharged home.

CONCLUSION

This study found that most patients were triaged into low acuity categories and were discharged home. High acuity patients were usually admitted to ICU/high care; however, these patients experienced delays in receiving treatment. The causes of these issues, and the implications, remain unknown. Large numbers of high acuity patients were discharged home. Further studies are needed to understand the influence of triage accuracy on these patients' outcomes.

Worsening of emergency department length of stay during the COVID-19 pandemic

OBJECTIVE

Our study sought to determine whether there was a change in emergency department (ED) length of stay (LOS) during the coronavirus disease 2019 (COVID-19) pandemic compared to prior years.

METHODS

We performed a retrospective analysis using ED performance data 2018-2020 from 56 EDs across the United States. We used a generalized estimating equation (GEE) model to assess differences in ED LOS for admitted (LOS-A) and discharged (LOS-D) patients during the COVID-19 pandemic period compared to prior years.

RESULTS

GEE modeling showed that LOS-A and LOS-D were significantly higher during the COVID-19 period compared to the pre-COVID-19 period. LOS-A during the COVID-19 period was 10.3% higher compared to the pre-COVID-19 time period, which represents a higher geometric mean of 28 minutes. LOS-D during the COVID-19 period was 2.8% higher compared to the pre-COVID-19 time period, which represents a higher geometric mean of 2 minutes.

CONCLUSIONS

ED LOS-A and LOS-D were significantly higher in the COVID-19 period compared to the pre-COVID-19 period despite a lower volume of patients in the COVID-19 period.

Resource utilisation among patients with syncope presenting to the emergency department

BACKGROUND

Syncope is a common problem encountered in the emergency department (ED) and a significant source of ED resource utilisation, including advanced imaging modalities. Current guidelines do not recommend routine Computed Tomography (CT) imaging of the head for patients seen in the ED due to syncope.

OBJECTIVE

In this study, we investigate resource allocation in the ED for syncope-related visits, including advanced imaging modalities using a large national database.

OUTCOMES ANALYSIS

Data from the CDC's National Hospital Ambulatory Medical Care Survey (NHAMCS) for years 2008-2017 were compiled and analysed. Intrinsic survey and constructed variables were utilised to identify and investigate all syncope-related ED visits in the United States during the study period that met study criteria. Appropriate bivariate and multivariate statistical analyses were applied in order to identify and compare the resource utilisation, demographics, and ED visit dynamics of syncope and non-syncope-related ED visits.

RESULTS

During the study period, there were over 15 million ED visits for syncope. A high percentage of syncope visits received head CT compared with non-syncope visits (34% vs. 4.5%, P > .001). When investigated by age-grouping utilisation of head CT ranged from 26.5 (95% CI 18.9-27.5) for ages 18-40 to as high as 40.2% (95% CI 33.8-47.1) for ages 80 and higher. Compared with non-syncope ED visits, syncope-related ED visits were older and more likely to have Medicare or private insurance.

CONCLUSION

Syncope continues to be a large and growing share of visits to US EDs. Despite well-supported, evidence-based recommendations that do not recommend routine utilisation of head CT in syncope-related ED visits, these data suggest that emergency physicians routinely over-utilise this modality. More specific guidelines may be required to help reduce the use of imaging studies for patients who present to the ED with syncope.

Radiographic findings of SARS-CoV-2 infection

STUDY OBJECTIVE

The 2019-20 coronavirus pandemic is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19). This study was undertaken to identify and compare findings of chest radiography and computed tomography among patients with SARS-CoV-2 infection.

METHODS

This retrospective study was undertaken at a tertiary care center. Eligible subjects included consecutive patients age 18 and over with documented SARS-CoV-2 infection between March and July 2020. The primary outcome measures were results of chest radiography and computed tomography among patients with documented SARS-CoV-2 infection.

RESULTS

Among 724 subjects, most were admitted to a medical floor (46.4%; N = 324) or admitted to an ICU (10.9%; N = 76). A substantial number of subjects were intubated during the emergency department visit or inpatient hospitalization (15.3%; N = 109). The majority of patients received a chest radiograph (80%; N = 579). The most common findings were normal, bilateral infiltrates, ground-glass opacities, or unilateral infiltrate. Among 128 patients who had both chest radiography and computed tomography, there was considerable disagreement between the 2 studies (52.3%; N = 67; 95% confidence interval: 43.7% to 61.0%).). The presence of bilateral infiltrates (infiltrates or ground-glass opacities) was associated with clinical factors including older age, ambulance arrivals, more urgent triage levels, higher heart rate, and lower oxygen saturation. Bilateral infiltrates were associated with poorer outcomes, including higher rate of intubation, greater number of inpatient days, and higher rate of death.

CONCLUSIONS

Common radiographic findings of SARS-CoV-2 infection include infiltrates or ground-glass opacities. There was considerable disagreement between chest radiography and computed tomography. Computed tomography was more accurate in defining the extent of involved lung parenchyma. The presence of bilateral infiltrates was associated with morbidity and mortality.

The development and validation of a resource consumption score of an emergency department consultation

Background

Emergency Department (ED) visits and health care costs are increasing globally, but little is known about contributing factors of ED resource consumption. This study aims to analyse and to predict the total ED resource consumption out of the patient and consultation characteristics in order to execute performance analysis and evaluate quality improvements.

Methods

Characteristics of ED visits of a large Swiss university hospital were summarized according to acute patient condition factors (e.g. chief complaint, resuscitation bay use, vital parameter deviations), chronic patient conditions (e.g. age, comorbidities, drug intake), and contextual factors (e.g. night-time admission). Univariable and multivariable linear regression analyses were conducted with the total ED resource consumption as the dependent variable.

Results

In total, 164,729 visits were included in the analysis. Physician resources accounted for the largest proportion (54.8%), followed by radiology (19.2%), and laboratory work-up (16.2%). In the multivariable final model, chief complaint had the highest impact on the total ED resource consumption, followed by resuscitation bay use and admission by ambulance. The impact of age group was small. The multivariable final model was validated (R² of 0.54) and a scoring system was derived out of the predictors.

Conclusions

More than half of the variation in total ED resource consumption can be predicted by our suggested model in the internal validation, but further studies are needed for external validation. The score developed can be used to calculate benchmarks of an ED and provides leaders in emergency care with a tool that allows them to evaluate resource decisions and to estimate effects of organizational changes.

What determines diagnostic resource consumption in emergency medicine: patients, physicians or context?

OBJECTIVES

A major cause for concern about increasing ED visits is that ED care is expensive. Recent research suggests that ED resource consumption is affected by patients' health status, varies between physicians and is context dependent. The aim of this study is to determine the relative proportion of characteristics of the patient, the physician and the context that contribute to ED resource consumption.

METHODS

Data on patients, physicians and the context were obtained in a prospective observational cohort study of patients hospitalised to an internal medicine ward through the ED of the University Hospital Bern, Switzerland, between August and December 2015. Diagnostic resource consumption in the ED was modelled through a multilevel mixed effects linear regression.

RESULTS

In total, 473 eligible patients seen by one of 38 physicians were included in the study. Diagnostic resource consumption heavily depends on physicians' ratings of case difficulty (p<0.001, z-standardised regression coefficient: 147.5, 95% CI 87.3 to 207.7) and-less surprising-on patients' acuity (p<0.001, 126.0, 95% CI 65.5 to 186.6). Neither the physician per se, nor their experience, the patients' chronic health status or the context seems to have a measurable impact (all p>0.05).

CONCLUSIONS

Diagnostic resource consumption in the ED is heavily affected by physicians' situational confidence. Whether we should aim at altering physician confidence ultimately depends on its calibration with accuracy.

A Method for Grouping Emergency Department Visits by Severity and Complexity

INTRODUCTION

Triage functions to quickly prioritize care and sort patients by anticipated resource needs. Despite widespread use of the Emergency Severity Index (ESI), there is still no universal standard for emergency department (ED) triage. Thus, it can be difficult to objectively assess national trends in ED acuity and resource requirements. We sought to derive an ESI from National Hospital Ambulatory Medical Care Survey (NHAMCS) survey items (NHAMCS-ESI) and to assess the performance of this index with respect to stratifying outcomes, including hospital admission, waiting times, and ED length of stay (LOS).

METHODS

We used data from the 2010-2015 NHAMCS, to create a measure of ED visit complexity based on variables within NHAMCS. We used NHAMCS data on chief complaint, vitals, resources used, interventions, and pain level to group ED visits into five levels of acuity using a stepwise algorithm that mirrored ESI. In addition, we examined associations of NHAMCS-ESI with typical indicators of acuity such as waiting time, LOS, and disposition. The NHAMCS-ESI categorization was also compared against the "immediacy" variable across all of these outcomes. Visit counts used weighted scores to estimate national levels of ED visits.

RESULTS

The NHAMCS ED visits represent an estimated 805,726,000 ED visits over this time period. NHAMCS-ESI categorized visits somewhat evenly, with most visits (42.5%) categorized as a level 3. The categorization pattern is distinct from that of the "immediacy" variable within NHAMCS. Of admitted patients, 89% were categorized as NHAMCS-ESI level 2-3. Median ED waiting times increased as NHAMCS-ESI levels decreased in acuity (from approximately 14 minutes to 25 minutes). Median LOS decreased as NHAMCS-ESI decreased from almost 200 minutes for level 1 patients to nearly 80 minutes for level 5 patients.

CONCLUSION

We derived an objective tool to measure an ED visit's complexity and resource use. This tool can be validated and used to compare complexity of ED visits across hospitals and regions, and over time.

Misdiagnosis and failure to diagnose in emergency care: Causes and empathy as a solution

Diagnostic error is the most frequent cause of allegations of negligence in emergency care in the United States and is estimated to contribute to the death of hundreds of thousands of patients worldwide each year. In this special contribution, we elucidate the cognitive mechanisms that emergency physicians use to make decisions and identify how these mechanisms can become sources of diagnostic error. The discussion centers on the appraisal of proposed methods to reduce the risk of diagnostic error, including debiasing strategies and a brief discussion of the theoretical basis for interventions to improve clinician empathy.

Obstetric and fetal triage

Triage in healthcare is sorting patients by acuity to prioritize them for full evaluation. Standardizing this process with the use of triage acuity classification tools has been shown to improve patient flow and quality of care in the emergency department. The American College of Obstetricians and Gynecologists recommends that pregnant women be triaged based on acuity, rather than time of arrival, and that obstetric triage acuity scales can serve as templates for use at the facility level. Three obstetric triage acuity scales developed in North America are reviewed and the implementation of one in a system with 40 birth hospitals is described. Use of obstetric triage acuity scales resulted in timelier initial assessment and decreased wait times. Acuity, volume, and trends data helped improve nurse and provider staffing in triage units. These findings support the promise of obstetric triage acuity scales to promote efficient care.

Two-step predictive model for early detection of emergency department patients with prolonged stay and its management implications

OBJECTIVE

To develop a novel model for predicting Emergency Department (ED) prolonged length of stay (LOS) patients upon triage completion, and further investigate the benefit of a targeted intervention for patients with prolonged ED LOS.

MATERIALS AND METHODS

A two-step model to predict patients with prolonged ED LOS (>16 h) was constructed. This model was initially used to predict ED resource usage and was subsequently adapted to predict patient ED LOS based on the number of ED resources using binary logistic regressions and was validated internally with accuracy. Finally, a discrete event simulation was used to move patients with predicted prolonged ED LOS directly to a virtual Clinical Decision Unit (CDU). The changes of ED crowding status (Overcrowding, Crowding, and Not-Crowding) and savings of ED bed-hour equivalents were estimated as the measures of the efficacy of this intervention.

RESULTS

We screened a total of 123,975 patient visits with final enrollment of 110,471 patient visits. The overall accuracy of the final model predicting prolonged patient LOS was 67.8%. The C-index of this model ranges from 0.72 to 0.82. By implementing the proposed intervention, the simulation showed a 12% (1044/8760) reduction of ED overcrowded status - an equivalent savings of 129.3 ED bed-hours per day.

CONCLUSIONS

Early prediction of prolonged ED LOS patients and subsequent (simulated) early CDU transfer could lead to more efficiently utilization of ED resources and improved efficacy of ED operations. This study provides evidence to support the implementation of this novel intervention into real healthcare practice.

Refusal of emergency medical care: An analysis of patients who left without being seen, eloped, and left against medical advice

OBJECTIVE

Emergency department (ED) patients may elect to refuse any aspect of medical care. They may leave prior to physician evaluation, elope during treatment, or leave against medical advice during treatment. This study was undertaken to identify patient perspectives and reasons for refusal of care.

METHODS

This prospective study was conducted at an urban Level 1 Trauma Center. This study examined ED patients who left without being seen (LWBS), eloped during treatment, or left against medical advice during September to December 2018. This project included both chart review and a prospective patient survey.

RESULTS

Among 298 participants, the majority were female (54%). Most participants were White (61%) or African American (36%). Thirty-eight percent of participants left against medical advice, 23% eloped, and 39% left without being seen by a provider. When compared to the general ED population, patients who refused care were significantly younger (p < 0.001). When comparing by groups, patients who left AMA were significantly older than those who eloped or left without being seen (p < 0.001). Among 68 patients interviewed by telephone, the most common stated reasons for refusal of care included wait time (23%), unmet expectations (23%), and negative interactions with ED staff (15%).

CONCLUSION

ED patients who refused care were significantly younger than the general ED population. Common reasons cited by patients for refusal of care included wait time, unmet expectations, and negative interactions with ED staff.