California hospitals serving large minority populations were more likely than others to employ ambulance diversion

Race and Ethnicity Disparities in Management and Outcomes of Critically Ill Adults with Acute Respiratory Failure

This article reviews the current evidence base for racial and ethnic disparities related to acute respiratory failure. It discusses the prevailing and most studied mechanisms that underlay these disparities, analytical challenges that face the field, and then uses this discussion to frame future directions to outline next steps for developing disparities-mitigating solutions.

Disparities in access to and timing of interventional therapies for pulmonary embolism across the United States

BACKGROUND

Interventional therapies (ITs) are an emerging treatment modality for pulmonary embolism (PE); however, the degree of racial, sex-based, and sociodemographic disparities in access and timing is unknown.

OBJECTIVES

To investigate barriers to access and timing of ITs for PE across the United States.

METHODS

A retrospective cohort study utilizing the Nationwide Inpatient Sample from 2016-2020 included adult patients with PE. The use of ITs (mechanical thrombectomy and catheter-directed thrombolysis) was identified via International Classification of Diseases 10th revision codes. Early IT was defined as procedure performed within the first 2 days after admission.

RESULTS

A total of 27 805 273 records from the 2016-2020 Nationwide Inpatient Sample database were examined. There were 387 514 (1.4%) patients with PE, with 14 249 (3.6%) of them having undergone IT procedures (11 115 catheter-directed thrombolysis, 2314 thrombectomy, and 780 both procedures). After multivariate adjustment, factors associated with less use of IT included Black race (odds ratio [OR], 0.90; 95% CI, 0.86-0.94; P < .01), Hispanic race (OR, 0.73; 95% CI, 0.68-0.79; P < .01), female sex (OR, 0.88; 95% CI, 0.85-0.91; P < .01), treatment in a rural hospital (OR, 0.49; 95% CI, 0.44-0.54; P < .01), and lack of private insurance (Medicare OR, 0.77; 95% CI, 0.73-0.80; P < .01; Medicaid OR, 0.65; 95% CI, 0.61-0.69; P < .01; no coverage OR, 0.87; 95% CI, 0.82-0.93; P < .01). Among the patients who received IT, 11 315 (79%) procedures were conducted within 2 days of admission and 2934 (21%) were delayed. Factors associated with delayed procedures included Black race (OR, 1.12; 95% CI, 1.01-1.26; P = .04), Hispanic race (OR, 1.52; 95% CI, 1.28-1.80; P < .01), weekend admission (OR, 1.37; 95% CI, 1.25-1.51; P < .01), Medicare coverage (OR, 1.24; 95% CI, 1.10-1.40; P < .01), and Medicaid coverage (OR, 1.29; 95% CI, 1.12-1.49; P < .01).

CONCLUSION

Significant racial, sex-based, and geographic barriers exist in overall access to IT for PE in the United States.

Association of Ambulance Diversion Policy on EMS Transport and Ambulance Patient Offload Times: A Comparison of Three Strategies

OBJECTIVES

Despite limited supporting data, hospitals continue to apply ambulance diversion (AD). Thus, we examined the impact of three different diversion policies on diversion hours, transport time (TT; leaving scene to arrival at the hospital), and ambulance patient offload time (APOT; arrival at the hospital to patient turnover to hospital staff) for 9-1-1 transports in a 22-hospital county Emergency Medical Services (EMS) system.

METHODS

This retrospective study evaluated metrics during periods of three AD policies, each 27 days long: hospital-initiated (Period 1), complete suspension (Period 2), and County EMS-initiated (Period 3). We described the median transports and diversion hours, and compared the daily average and daily 90th percentile TT and APOT during the three study periods.

RESULTS

Over the study period, there were 50,992 total transports in the county; Period 3 had fewer median transports per day than Period 1 (581 vs 623, p < 0.001), while Period 2 was similar to Period 1 (606 vs 623, p = 0.108). Median average daily diversion hours decreased from 98.1 h during Period 1 to zero hours during both Periods 2 (p < 0.001) and 3 (p < 0.001). Median daily average TT decreased from 18.3 min in Period 1 to 16.9 min in both Periods 2 (p < 0.001) and 3 (p < 0.001). Median daily 90th percentile TT showed a similar decrease from 30.2 min in Period 1 to 27.5 in Period 2 (p < 0.001), and to 28.1 in Period 3 (p = 0.001). Median average daily APOT was 26.0 min during Period 1, similar at 25.2 min during Period 2 (p = 0.826) and decreased to 20.4 min during Period 3 (p < 0.001). The median daily 90th percentile APOT was 53.9 min during Period 1, similar at 51.7 min during Period 2 (p = 0.553) and decreased to 40.3 min during Period 3 (p < 0.001).

CONCLUSIONS

Compared to hospital-initiated AD, enacting no AD or County EMS-initiated AD was associated with less diversion time; TT and APOT showed statistically significant improvement without hospital-initiated AD but were of unclear clinical significance. EMS-initiated AD was difficult to interpret as that period had significantly fewer transports. EMS systems should consider these findings when developing strategies to improve TT, APOT, and system use of diversion.

Racial and ethnic disparities in emergency department transfers to public hospitals

OBJECTIVE

To examine racial/ethnic differences in emergency department (ED) transfers to public hospitals and factors explaining these differences.

DATA SOURCES AND STUDY SETTING

ED and inpatient data from the Healthcare Cost and Utilization Project for Florida (2010-2019); American Hospital Association Annual Survey (2009-2018).

STUDY DESIGN

Logistic regression examined race/ethnicity and payer on the likelihood of transfer to a public hospital among transferred ED patients. The base model was controlled for patient and hospital characteristics and year fixed effects. Models II and III added urbanicity and hospital referral region (HRR), respectively. Model IV used hospital fixed effects, which compares patients within the same hospital. Models V and VI stratified Model IV by payer and condition, respectively. Conditions were classified as emergency care sensitive conditions (ECSCs), where transfer is protocolized, and non-ECSCs. We reported marginal effects at the means.

DATA COLLECTION/EXTRACTION METHODS

We examined 1,265,588 adult ED patients transferred from 187 hospitals.

PRINCIPAL FINDINGS

Black patients were more likely to be transferred to public hospitals compared with White patients in all models except ECSC patients within the same initial hospital (except trauma). Black patients were 0.5-1.3 percentage points (pp) more likely to be transferred to public hospitals than White patients in the same hospital with the same payer. In the base model, Hispanic patients were more likely to be transferred to public hospitals compared with White patients, but this difference reversed after controlling for HRR. Hispanic patients were - 0.6 pp to -1.2 pp less likely to be transferred to public hospitals than White patients in the same hospital with the same payer.

CONCLUSIONS

Large population-level differences in whether ED patients of different races/ethnicities were transferred to public hospitals were largely explained by hospital market and the initial hospital, suggesting that they may play a larger role in explaining differences in transfer to public hospitals, compared with other external factors.

A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks

Policy Points Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities. No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks. The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism.

CONTEXT

Emergency care includes two key components: initial stabilization and transfer to a higher level of care. Significant work has focused on ensuring that local facilities can stabilize patients. However, less is understood about transfers for definitive care. To better understand how transfer network structure impacts population health and equity in emergency care, we proposea conceptual framework, the hospital transfer network equity-quality model (NET-EQUITY). NET-EQUITY can help optimize population outcomes, decrease disparities, and enhance planning by supporting a framework for understanding emergency department transfers.

METHODS

To develop the NET-EQUITY framework, we synthesized work on health systems and quality of health care (Donabedian, the Institute of Medicine, Ferlie, and Shortell) and the research framework of the National Institute on Minority Health and Health Disparities with legal and empirical research.

FINDINGS

The central thesis of our framework is that the structure of hospital transfer networks influences patient outcomes, as defined by the Institute of Medicine, which includes equity. The structure of hospital transfer networks is shaped by internal and external factors. The four main external factors are the regulatory, economic environment, provider, and sociocultural and physical/built environment. These environments all implicate issues of equity that are important to understand to foster an equitable population-based system of emergency care. The framework highlights external and internal factors that determine the structure of hospital transfer networks, including structural racism and inequity.

CONCLUSIONS

The NET-EQUITY framework provides a patient-centered, equity-focused framework for understanding the health of populations and how the structure of hospital transfer networks can influence the quality of care that patients receive.

Emergency department condition acuity, length of stay, and revisits among deaf and hard-of-hearing patients: A retrospective chart review

OBJECTIVE

Deaf and hard-of-hearing (DHH) patients are understudied in emergency medicine health services research. Theory and limited evidence suggest that DHH patients are at higher risk of emergency department (ED) utilization and poorer quality of care. This study assessed ED condition acuity, length of stay (LOS), and acute ED revisits among DHH patients. We hypothesized that DHH patients would experience poorer ED care outcomes.

METHODS

We conducted a retrospective chart review of a single health care system using data from a large academic medical center in the southeast United States. Data were received from the medical center's data office, and we sampled patients and encounters from between June 2011 and April 2020. We compared DHH American Sign Language (ASL) users (n = 108), DHH English speakers (n = 358), and non-DHH English speakers (n = 302). We used multilevel modeling to assess the differences among patient segments in outcomes related to ED use and care.

RESULTS

As hypothesized, DHH ASL users had longer ED LOS than non-DHH English speakers, on average 30 min longer. Differences in ED condition acuity, measured through Emergency Severity Index and triage pain scale, were not statistically significant. DHH English speakers represented a majority (61%) of acute ED revisit encounters.

CONCLUSIONS

Our study identified that DHH ASL users have longer ED LOS than non-DHH English speakers. Additional research is needed to further explain the association between DHH status and ED care outcomes (including ED LOS and acute revisit), which may be used to identify intervention targets to improve health equity.

Ambulance diversion and ED destination by race/ethnicity: evaluation of Massachusetts' ambulance diversion ban

Background

The impact of ambulance diversion on potentially diverted patients, particularly racial/ethnic minority patients, is largely unknown. Treating Massachusetts’ 2009 ambulance diversion ban as a natural experiment, we examined if the ban was associated with increased concordance in Emergency Medical Services (EMS) patients of different race/ethnicity being transported to the same emergency department (ED).

Methods

We obtained Medicare Fee for Service claims records (2007–2012) for enrollees aged 66 and older. We stratified the country into patient zip codes and identified zip codes with sizable (non-Hispanic) White, (non-Hispanic) Black and Hispanic enrollees. For a stratified random sample of enrollees from all diverse zip codes in Massachusetts and 18 selected comparison states, we identified EMS transports to an ED. In each zip code, we identified the most frequent ED destination of White EMS-transported patients (“reference ED”). Our main outcome was a dichotomous indicator of patient EMS transport to the reference ED, and secondary outcome was transport to an ED serving lower-income patients (“safety-net ED”). Using a difference-in-differences regression specification, we contrasted the pre- to post-ban changes in each outcome in Massachusetts with the corresponding change in the comparison states.

Results

Our study cohort of 744,791 enrollees from 3331 zip codes experienced 361,006 EMS transports. At baseline, the proportion transported to the reference ED was higher among White patients in Massachusetts and comparison states (67.2 and 60.9%) than among Black (43.6 and 46.2%) and Hispanic (62.5 and 52.7%) patients. Massachusetts ambulance diversion ban was associated with a decreased proportion transported to the reference ED among White (− 2.7 percentage point; 95% CI, − 4.5 to − 1.0) and Black (− 4.1 percentage point; 95% CI, − 6.2 to − 1.9) patients and no change among Hispanic patients. The ban was associated with an increase in likelihood of transport to a safety-net ED among Hispanic patients (3.0 percentage points, 95% CI, 0.3 to 5.7) and a decreased likelihood among White patients (1.2 percentage points, 95% CI, − 2.3 to − 0.2).

Conclusion

Massachusetts ambulance diversion ban was associated with a reduction in the proportion of White and Black EMS patients being transported to the most frequent ED destination for White patients, highlighting the role of non-proximity factors in EMS transport destination.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08358-8.

Conceptual Model of Emergency Department Utilization among Deaf and Hard-of-Hearing Patients: A Critical Review

Deaf and hard-of-hearing (DHH) populations are understudied in health services research and underserved in healthcare systems. Existing data indicate that adult DHH patients are more likely to use the emergency department (ED) for less emergent conditions than non-DHH patients. However, the lack of research focused on this population’s ED utilization impedes the development of health promotion and quality improvement interventions to improve patient health and quality outcomes. The purpose of this study was to develop a conceptual model describing patient and non-patient (e.g., community, health system, provider) factors influencing ED utilization and ED care processes among DHH people. We conducted a critical review and used Andersen’s Behavioral Model of Health Services Use and the PRECEDE-PROCEED Model to classify factors based on their theoretical and/or empirically described role. The resulting Conceptual Model of Emergency Department Utilization Among Deaf and Hard-of-Hearing Patients provides predisposing, enabling, and reinforcing factors influencing DHH patient ED care seeking and ED care processes. The model highlights the abundance of DHH patient and non-DHH patient enabling factors. This model may be used in quality improvement interventions, health services research, or in organizational planning and policymaking to improve health outcomes for DHH patients.

Treatment in disproportionately minority hospitals is associated with an increased mortality in end-stage liver disease

BACKGROUND

Racial and ethnic disparities are a barrier in delivery of healthcare across the USA. Care for minority patients tends to be clustered into a small number of providers at minority hospitals, which has been associated with worse clinical outcomes in several conditions. However, the outcomes of treatment in patients with end-stage liver disease (ESLD) at predominately minority hospitals are unknown. We investigated the burden of the problem.

METHODS

We utilized the nationwide in-patient sample (NIS) to conduct a retrospective nationwide cohort analysis. All patients >18 years of age admitted with ESLD were included in the analysis. A multivariate logistic regression model was used to study the mortality rate among patients with ESLD treated at minority hospitals compared to nonminority hospitals.

RESULTS

A total of 53 281 467 hospitalizations from the 2008 to 2014 NIS were analyzed. There were 163 470 patients with ESLD that met inclusion criteria. In-hospital mortality rates for all races were 8.0 and 8.1% in black and Hispanic minority hospitals, respectively, compared to 7.3% in nonminority hospitals (P < 0.01). On multivariate analysis, treatment of ESLD in black and Hispanic minority hospitals was associated with 11% [odds ratio (OR), 1.11; 95% confidence interval (CI), 1.03-1.20; P < 0.01] and 22% (OR, 1.22; 95% CI, 1.09-1.37; P < 0.01) increased odds of death, respectively, compared to treatment in nonminority hospitals regardless of patient's race.

CONCLUSION

Patients with ESLD treated at minority hospitals are faced with an increased mortality rate regardless of patient's race. This study highlights another quality gap that needs improvement to affect overall survival among patients with ESLD.

Does waiting times decrease or increase operational costs in short and long-term? Evidence from Portuguese public hospitals

The Portuguese National Health System is composed of all public entities offering health services. There has been a successive increase in expenditure in recent years due to various factors that have contributed to a high degree of uncertainty about the evolution of operating costs in Public Business Hospitals. This research's main objective is to study the relationship between operational costs and waiting times as well as costs with healthcare professionals and waiting times in both external consultations and hospital surgeries. Furthermore, we will empirically assess the presence of U-shaped behaviour in both of these two relationships. We have included a sample of 38 hospitals considered in the Portuguese National Health System. We also included, in our analysis, five groups of public business hospitals, according to the Administrative Central Agency of Portugal's Health Service, considering the period between January 2015 and December 2019. To validate the two relationships proposed, the Autoregressive Distributed Lag panel model was used. This study highlights that longer waiting times for external consultation and surgery significantly affect hospital costs and suggest that longer waiting times do not merely increase absence rates. The study also proves that there are long-term effects that last beyond the short-term waiting period.

Centralized Ambulance Destination Determination: A Retrospective Data Analysis to Determine Impact on EMS System Distribution, Surge Events, and Diversion Status

Introduction

Emergency medical services (EMS) systems can become impacted by sudden surges that can occur throughout the day, as well as by natural disasters and the current pandemic. Because of this, emergency department crowding and ambulance “bunching,” or surges in ambulance-transported patients at receiving hospitals, can have a detrimental effect on patient care and financial implications for an EMS system. The Centralized Ambulance Destination Determination (CAD-D) project was initially created as a pilot project to look at the impact of an active, online base hospital physician and paramedic supervisor to direct patient destination and distribution, as a way to improve ambulance distribution, decrease surges at hospitals, and decrease diversion status.

Methods

The project was initiated March 17, 2020, with a six-week baseline period; it had three additional study phases where the CAD-D was recommended (Phase 1), mandatory (Phase 2), and modified (Phase 3), respectively. We used coefficients of variation (CV) statistical analysis to measure the relative variability between datasets (eg, CAD-D phases), with a lower variation showing better and more even distribution across the different hospitals. We used analysis of co-variability for the CV to determine whether level loading was improved systemwide across the three phases against the baseline period. The primary outcomes of this study were the following: to determine the impact of ambulance distribution across a geographical area by using the CV; to determine whether there was a decrease in surge rates at the busiest hospital in this area; and the effects on diversion.

Results

We calculated the CV of all ratios and used them as a measure of EMS patient distribution among hospitals. Mean CV was lower in Phase 2 as compared to baseline (1.56 vs 0.80 P < 0.05), and to baseline and Phase 3 (1.56 vs. 0.93, P <0.05). A lower CV indicates better distribution across more hospitals, instead of the EMS transports bunching at a few hospitals. Furthermore, the proportion of surge events was shown to be lower between baseline and Phase 1 (1.43 vs 0.77, P <0.05), baseline and Phase 2 (1.43 vs. 0.33, P < 0.05), and baseline and Phase 3 (1.43 vs 0.42, P < 0.05). Diversion was shown to increase over the system as a whole, despite decreased diversion rates at the busiest hospital in the system.

Conclusion

In this retrospective study, we found that ambulance distribution increased across the system with the implementation of CAD-D, leading to better level loading. The surge rates decreased at some of the most impacted hospitals, while the rates of hospitals going on diversion paradoxically increased overall. Specifically, the results of this study showed that there was an improvement when comparing the CAD-D implementation vs the baseline period for both the ambulance distribution across the system (level loading/CV), and for surge events at three of the busiest hospitals in the system.

Prolonged In-hospital Time to Appendectomy is Associated With Increased Complicated Appendicitis in Children

OBJECTIVE

To examine the association between prolonged in-hospital time to appendectomy (TTA) and the risk of complicated appendicitis.

SUMMARY BACKGROUND DATA

Historically, acute appendicitis was treated with emergency appendectomy. More recently, practice patterns have shifted to urgent appendectomy, with acceptable in-hospital delays of up to 24 hours. However, the consequences of prolonged TTA remain poorly understood. Herein, we present the largest individual analysis to date of outcomes associated with prolonged in-hospital delay before appendectomy in children.

METHODS

Data from patients who underwent appendectomy within 24 hours of hospital presentation were obtained from the American College of Surgeons Pediatric National Surgical Quality Improvement Program Procedure Targeted Appendectomy database from 2016 to 2018. Appendectomy within 16 hours of presentation was considered early, whereas those between 16 to 24 hours were defined as late. The primary outcome was operative findings of complicated appendicitis. Secondary outcomes included 30-day complications and resource utilization.

RESULTS

This study consisted of 18,927 patients, with 20.6% undergoing late appendectomy. The rate of complicated appendicitis was significantly higher in the late group (Early: 26.3%, Late: 30.3%, P < 0.05). Additionally, the late group had longer operative times, increased need for postoperative percutaneous drainage, antibiotics at discharge, parenteral nutrition, and an extended hospital length of stay (P < 0.05). On multivariate analysis, late appendectomy remained a predictor of complicated disease (odds ratio 1.17 [95% confidence interval, 1.08-1.27]).

CONCLUSIONS

A significant proportion of pediatric patients with acute appendicitis experience prolonged in-hospital delays before appendectomy, which are associated with modestly increased rates of complicated appendicitis. Although this does not indicate appendectomy needs to be done emergently, prolonged in-hospital TTA should be avoided whenever possible.

Treatment in Disproportionately Minority Hospitals Is Associated With Increased Risk of Mortality in Sepsis: A National Analysis

OBJECTIVES

Treatment in a disproportionately minority-serving hospital has been associated with worse outcomes in a variety of illnesses. We examined the association of treatment in disproportionately minority hospitals on outcomes in patients with sepsis across the United States.

DESIGN

Retrospective cohort analysis. Disproportionately minority hospitals were defined as hospitals having twice the relative minority patient population than the surrounding geographical mean. Minority hospitals for Black and Hispanic patient populations were identified based on U.S. Census demographic information. A multivariate model employing a validated algorithm for mortality in sepsis using administrative data was used.

SETTING

The National Inpatient Sample from 2008 to 2014.

PATIENTS

Patients over 18 years of age with sepsis.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 4,221,221 patients with sepsis were identified. Of these, 612,217 patients (14.5%) were treated at hospitals disproportionately serving the black community (Black hospitals), whereas 181,141 (4.3%) were treated at hospitals disproportionately serving the Hispanic community (Hispanic hospitals). After multivariate analysis, treatment in a Black hospital was associated with a 4% higher risk of mortality compared to treatment in a nonminority hospital (odds ratio, 1.04; 95% CI, 1.03-1.05; p < 0.01). Treatment in a Hispanic hospital was associated with a 9% higher risk of mortality (odds ratio, 1.09; 95% CI, 1.07-1.11; p < 0.01). Median hospital length of stay was almost 1 day longer at each of the disproportionately minority hospitals (nonminority hospitals: 5.9 d; interquartile range, 3.1-11.0 d vs Hispanic: 6.9 d; interquartile range, 3.6-12.9 d and Black: 6.7 d, interquartile range, 3.4-13.2 d; both p < 0.01).

CONCLUSIONS

Patients with sepsis regardless of race who were treated in disproportionately high minority hospitals suffered significantly higher rates of in-hospital mortality.

Ambulance diversions following public hospital emergency department closures

OBJECTIVE

To examine whether hospitals are more likely to temporarily close their emergency departments (EDs) to ambulances (through ambulance diversions) if neighboring diverting hospitals are public vs private.

DATA SOURCES/STUDY SETTING

Ambulance diversion logs for California hospitals, discharge data, and hospital characteristics data from California's Office of Statewide Health Planning and Development and the American Hospital Association (2007).

STUDY DESIGN

We match public and private (nonprofit or for-profit) hospitals by distance and size. We use random-effects models examining diversion probability and timing of private hospitals following diversions by neighboring public vs matched private hospitals.

DATA COLLECTION/EXTRACTION METHODS

N/A.

PRINCIPAL FINDINGS

Hospitals are 3.6 percent more likely to declare diversions if neighboring diverting hospitals are public vs private (P < 0.001). Hospitals declaring diversions have lower ED occupancy (P < 0.001) after neighboring public (vs private) hospitals divert. Hospitals have 4.2 percent shorter diversions if neighboring diverting hospitals are public vs private (P < 0.001). When the neighboring hospital ends its diversion first, hospitals terminate diversions 4.2 percent sooner if the neighboring hospital is public vs private (P = 0.022).

CONCLUSIONS

Sample hospitals respond differently to diversions by neighboring public (vs private) hospitals, suggesting that these hospitals might be strategically declaring ambulance diversions to avoid treating low-paying patients served by public hospitals.

A US National Study of the Association Between Income and Ambulance Response Time in Cardiac Arrest

IMPORTANCE

Emergency medical services (EMS) provide critical prehospital care, and disparities in response times to time-sensitive conditions, such as cardiac arrest, may contribute to disparities in patient outcomes.

OBJECTIVES

To investigate whether ambulance 9-1-1 times were longer in low-income vs high-income areas and to compare response times with national benchmarks of 4, 8, or 15 minutes across income quartiles.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective cross-sectional study was performed of the 2014 National Emergency Medical Services Information System data in June 2017 using negative binomial and logistic regressions to examine the association between zip code-level income and EMS response times. The study used ambulance 9-1-1 response data for out-of-hospital cardiac arrest from 46 of 50 state repositories (92.0%) in the United States. The sample included 63 600 cardiac arrest encounters of patients who did not die on scene and were transported to the hospital.

MAIN OUTCOMES AND MEASURES

Four time measures were examined, including response time, on-scene time, transport time, and total EMS time. The study compared response times with EMS response time benchmarks for responding to cardiac arrest calls within 4, 8, and 15 minutes.

RESULTS

The study sample included 63 600 cardiac arrest encounters of patients (mean [SD] age, 60.6 [19.0] years; 57.9% male), with 37 550 patients (59.0%) from high-income areas and 8192 patients (12.9%) from low-income areas. High-income areas had greater proportions of white patients (70.1% vs 62.2%), male patients (58.8% vs 54.1%), privately insured patients (29.4% vs 15.9%), and uninsured patients (15.3% vs 7.9%), while low-income areas had a greater proportion of Medicaid-insured patients (38.3% vs 15.8%). The mean (SD) total EMS time was 37.5 (13.6) minutes in the highest zip code income quartile and 43.0 (18.8) minutes in the lowest. After controlling for urban zip code, weekday, and time of day in regression analyses, total EMS time remained 10% longer (95% CI, 9%-11%; P < .001), translating to 3.8 minutes longer in the poorest zip codes. The EMS response time to patients in high-income zip codes was more likely to meet 8-minute and 15-minute cutoffs compared with low-income zip codes.

CONCLUSIONS AND RELEVANCE

Patients with cardiac arrest from the poorest neighborhoods had longer EMS times compared with those from the wealthiest, and response times were less likely to meet national benchmarks in low-income areas, which may lead to increased disparities in prehospital delivery of care over time.

Statewide Method of Measuring Ambulance Patient Offload Times

OBJECTIVE

Ambulance patient offload time (APOT) also known colloquially as "Wall time" has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem.

METHODS

An Ambulance Offload Delay Task Force in California developed a set of standard definitions and methodology to measure APOT for transported 9-1-1 patients. It is defined as the time "interval between the arrival of an ambulance at an emergency department and the time that the patient is transferred to an ED gurney, bed, chair or other acceptable location and the ED assumes responsibility for care of the patient." Local EMS agencies voluntarily reported data according to the standard methodology to the California EMS Authority (State agency).

RESULTS

Data were reported for 9-1-1 transports during 2017 from 9 of 33 local EMS Agencies in California that comprise 37 percent of the state population. These represent 830,637 ambulance transports to 126 hospitals. APOT shows significant variation by EMS agency with half of the agencies demonstrating significant delays. Offload times vary markedly by hospital as well as by region. Three-fourths of hospitals detained EMS crews more than one hour, 40% more than two hours, and one-third delayed EMS return to service by more than three hours.

CONCLUSION

This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 9-1-1 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.

Impact Of Ambulance Diversion: Black Patients With Acute Myocardial Infarction Had Higher Mortality Than Whites

This study investigated whether emergency department crowding affects blacks more than their white counterparts and the mechanisms behind which this might occur. Using a nonpublic database of patients in California with acute myocardial infarction between 2001 and 2011 and hospital-level data on ambulance diversion, we found that hospitals treating a high share of black patients with acute myocardial infarction were more likely to experience diversion and that black patients fared worse compared to white patients experiencing the same level of emergency department crowding as measured by ambulance diversion. The ninety-day and one-year mortality rates among blacks exposed to high diversion levels were 2.88 and 3.09 percentage points higher, respectively, relative to whites, representing a relative increase of 19 percent and 14 percent for ninety-day and one-year death, respectively. Interventions that decrease the need for diversion in hospitals serving a high volume of blacks could reduce these disparities.

Do patients hospitalised in high-minority hospitals experience more diversion and poorer outcomes? A retrospective multivariate analysis of Medicare patients in California

OBJECTIVE

We investigated the association between crowding as measured by ambulance diversion and differences in access, treatment and outcomes between black and white patients.

DESIGN

Retrospective analysis.

SETTING

We linked daily ambulance diversion logs from 26 California counties between 2001 and 2011 to Medicare patient records with acute myocardial infarction and categorised patients according to hours in diversion status for their nearest emergency departments on their day of admission: 0, <6, 6 to <12 and ≥ 12 h. We compared the amount of diversion time between hospitals serving high volume of black patients and other hospitals. We then use multivariate models to analyse changes in outcomes when patients faced different levels of diversion, and compared that change between black and white patients.

PARTICIPANTS

29,939 Medicare patients from 26 California counties between 2001 and 2011.

MAIN OUTCOME MEASURES

(1) Access to hospitals with cardiac technology; (2) treatment received; and (3) health outcomes (30-day, 90-day, and 1-year death and 30-day readmission).

RESULTS

Hospitals serving high volume of black patients spent more hours in diversion status compared with other hospitals. Patients faced with the highest level of diversion had the lowest probability of being admitted to hospitals with cardiac technology compared with those facing no diversion, by 4.4% for cardiac care intensive unit, and 3.4% for catheterisation laboratory and coronary artery bypass graft facilities. Patients experiencing increased diversion also had a 4.3% decreased likelihood of receiving catheterisation and 9.6% higher 1-year mortality.

CONCLUSIONS

Hospitals serving high volume of black patients are more likely to be on diversion, and diversion is associated with poorer access to cardiac technology, lower probability of receiving revascularisation and worse long-term mortality outcomes.

High-intensity emergency department visits increased in California, 2002-09

Increasing use of the emergency department (ED) is well documented, but little is known about the type and severity of ED visits or their distribution across safety-net and non-safety-net hospitals. We examined the rates of high-intensity ED visits--characterized by their use of advanced imaging, consultations with specialists, the evaluation of multiple systems, and highly complex medical decision making--by patients with a severe, potentially life-threatening illness in California from 2002 through 2009. Total annual ED visits increased by 25 percent, from 9.0 million to 11.3 million, but high-intensity ED visits nearly doubled, increasing 87 percent from 778,000 to 1.5 million per year. The percentage of ED visits with high-intensity care increased from 9 percent to 13 percent (a relative increase of 44 percent). Annual ED admissions increased by 39 percent overall; most of this increase was attributable to high-intensity ED admissions, which increased by 88 percent. Safety-net EDs experienced an increase in high-intensity visits of 157 percent, compared to an increase of 61 percent at non-safety-net EDs. These findings suggest a trend toward intensification of ED care, particularly at safety-net hospitals, whose patients may have limited access to care outside the ED.

Association of emergency department and hospital characteristics with elopements and length of stay

BACKGROUND

As the Centers for Medicare & Medicaid Services (CMS) core measures in 2013 compare Emergency Department (ED) treatment time intervals, it is important to identify ED and hospital characteristics associated with these metrics to facilitate accurate comparisons.

STUDY OBJECTIVES

The objective of this study is to assess differences in operational metrics by ED and hospital characteristics. ED-level characteristics included annual ED volume, percentage of patients admitted, percentage of patients presenting by ambulance, and percentage of pediatric patients. Hospital-level characteristics included teaching hospital status, trauma center status, hospital ownership (nonprofit or for-profit), inpatient bed capacity, critical access status, inpatient bed occupancy, and rural vs. urban location area.

METHODS

Data from the ED Benchmarking Alliance from 2004 to 2009 were merged with the American Hospital Association's Annual Survey Database to include hospital characteristics that may impact ED throughput. Overall median length of stay (LOS) and left before treatment is complete (LBTC) were the primary outcome variables, and a linear mixed model was used to assess the association between outcome variables and ED and hospital characteristics, while accounting for correlations among multiple observations within each hospital. All data were at the hospital level on a yearly basis.

RESULTS

There were 445 EDs included in the analysis, from 2004 to 2009, with 850 observations over 6 years. Higher-volume EDs were associated with higher rates of LBTC and LOS. For-profit hospitals had lower LBTC and LOS. Higher inpatient bed occupancies were associated with a higher LOS. Increasing admission percentages were positively associated with overall LOS for EDs, but not with rates of LBTC.

CONCLUSIONS

Higher-volume EDs are associated with higher LBTC and LOS, and for-profit hospitals appear more favorably in these metrics compared with their nonprofit counterparts. It is important to appreciate that hospitals have different baselines for performance that may be more tied to volume and capacity, and less to quality of care.

Is emergency department crowding associated with increased "bounceback" admissions?

OBJECTIVE

Emergency department (ED) crowding is linked with poor quality of care and worse outcomes, including higher mortality. With the growing emphasis on hospital performance measures, there is additional concern whether inadequate care during crowded periods increases a patient's likelihood of subsequent inpatient admission. We sought to determine if ED crowding during the index visit was associated with these "bounceback" admissions.

METHODS

We used comprehensive, nonpublic, statewide ED and inpatient discharge data from the California Office of Statewide Health Planning and Development from 2007 to identify index outpatient ED visits and bounceback admissions within 7 days. We further used ambulance diversion data collected from California local emergency medical services agencies to identify crowded days using intrahospital daily diversion hour quartiles. Using a hierarchical logistic regression model, we then determined if patients visiting on crowded days were more likely to have a subsequent bounceback admission.

RESULTS

We analyzed 3,368,527 index visits across 202 hospitals, of which 596,471 (17.7%) observations were on crowded days. We found no association between ED crowding and bounceback admissions. This lack of relationship persisted in both a discrete (high/low) model (OR, 1.01; 95% CI, 0.99, 1.02) and a secondary model using ambulance diversion hours as a continuous predictor (OR, 1.00; 95% CI, 1.00, 1.00).

CONCLUSIONS

Crowding as measured by ambulance diversion does not have an association with hospitalization within 7 days of an ED visit discharge. Therefore, bounceback admission may be a poor measure of delayed or worsened quality of care due to crowding.