A National Assessment of EMS Performance at the Response and Agency Level.

BACKGROUND: In 2019, the National EMS Quality Alliance (NEMSQA) established a suite of 11 evidence-based EMS quality measures, yet little is known regarding EMS performance on a national level. Our objective was to describe EMS performance at a response and agency level using the National EMS Information System (NEMSIS) dataset. METHODS: The 2019 NEMSIS research dataset of all EMS 9-1-1 responses in the United States was utilized to calculate 10 of 11 NEMSQA quality measures. Measure criteria and pseudocode was implemented to calculate the proportion meeting measure criteria and 95% confidence intervals across all encounters and for each anonymized agency. We omitted Pediatrics-03b because the NEMSIS national dataset does not report patient weight. Agency level analysis was subsequently stratified by call volume and urbanicity. RESULTS: Records from 9,679 agencies responding to 26,502,968 9-1-1 events were analyzed. Run-level average performance ranged from 12% for Safety-01 (encounter documented as initial response without the use of lights and siren to 82% for Pediatrics-02 (documented respiratory assessment in pediatric patients with respiratory distress) At the agency level, significant variation in measure performance existed by agency size and by urbanicity. At the individual agency performance analysis, Trauma-04 (trauma patients transported to trauma center) had the lowest agency-level performance with 47% of agencies reporting 0% of eligible runs with documented transport to a trauma center. CONCLUSION: There is a wide range of performance in key EMS quality measures across the United States that demonstrate a need to identify strategies to improve quality and equity of care in the prehospital environment, system performance and data collection.

Expanding Health Information Exchange Improves Identification of Frequent Emergency Department Users.

STUDY OBJECTIVE: Frequent emergency department (ED) users are of interest to policymakers and hospitals. The objective of this study is to examine the effect of health information exchange size on the identification of frequent ED users. METHODS: We retrospectively analyzed data from Healthix, a health information exchange in New York that previously included 10 hospitals and then grew to 31 hospitals. We divided patients into 3 cohorts: high-frequency ED users with 4 or more visits in any 30-day period, medium-frequency ED users with 4 or more visits in any year, and infrequent ED users with fewer than 4 visits in any year. For both the smaller (10-hospital) and larger (31-hospital) health information exchanges, we compared the identification rate of frequent ED users that was based on hospital-specific data with the corresponding rates that were based on health information exchange data. RESULTS: The smaller health information exchange (n=1,696,279 unique ED patients) identified 11.4% more high-frequency users (33,467 versus 30,057) and 9.5% more medium-frequency users (109,497 versus 100,014) than the hospital-specific data. The larger health information exchange (n=3,684,999) identified 19.6% more high-frequency patients (52,727 versus 44,079) and 18.2% more medium-frequency patients (222,574 versus 192,541) than the hospital-specific data. Expanding from the smaller health information exchange to the larger one, we found an absolute increase of 8.2% and 8.7% identified high- and medium-frequency users, respectively. CONCLUSION: Increasing health information exchange size more accurately reflects how patients access EDs and ultimately improves not only the total number of identified frequent ED users but also their identification rate.

National Assessment of Quality Programs in Emergency Medical Services.

OBJECTIVE: This study aims to understand the adoption of clinical quality measurement throughout the United States on an EMS agency level, the features of agencies that do participate in quality measurement, and the level of physician involvement. It also aims to barriers to implementing quality improvement initiatives in EMS. METHODS: A 46-question survey was developed to gather agency level data on current quality improvement practices and measurement. The survey was distributed nationally via State EMS Offices to EMS agencies nation-wide using Surveymonkey©. A convenience sample of respondents was enrolled between August and November, 2015. Univariate, bivariate and multiple logistic regression analyses were conducted to describe demographics and relationships between outcomes of interest and their covariates using SAS 9.3©. RESULTS: A total of 1,733 surveys were initiated and 1,060 surveys had complete or near-complete responses. This includes agencies from 45 states representing over 6.23 million 9-1-1 responses annually. Totals of 70.5% (747) agencies reported dedicated QI personnel, 62.5% (663) follow clinical metrics and 33.3% (353) participate in outside quality or research program. Medical director hours varied, notably, 61.5% (649) of EMS agencies had <5 hours of medical director time per month. Presence of medical director time was correlated with tracking of QI measures. Air medical [OR 9.64 (1.13, 82.16)] and hospital-based EMS agencies [OR 2.49 (1.36, 4.59)] were more likely to track quality measures compared to fire-based agencies. Agencies in rural only environments were less likely to follow clinical quality metrics. (OR 0.47 CI 0.31 -0.72 p < 0.0004). For those that track QI measures, the most common are; Response Time (Emergency) (68.3%), On-Scene Time (66.4%), prehospital stroke screen (64.6%), aspirin administration (64.5%), and 12 lead ECG in chest pain patients (63.0%). CONCLUSIONS: EMS agencies in the United States have significant practice variability with regard to quality improvement resources, medical direction and specific clinical quality measures. More research is needed to understand the impact of this variation on patient care outcomes.

Bouncing Back Elsewhere: Multilevel Analysis of Return Visits to the Same or a Different Hospital After Initial Emergency Department Presentation.

STUDY OBJECTIVE: Analyses of 72-hour emergency department (ED) return visits are frequently used for quality assurance purposes and have been proposed as a means of measuring provider performance. These analyses have traditionally examined only patients returning to the same hospital as the initial visit. We use a health information exchange network to describe differences between ED visits resulting in 72-hour revisits to the same hospital and those resulting in revisits to a different site. METHODS: We examined data from a 31-hospital health information exchange of all ED visits during a 5-year period to identify 72-hour return visits and collected available encounter, patient, and hospital variables. Next, we used multilevel analysis of encounter-level, patient-level, and hospital-level data to describe differences between initial ED visits resulting in different-site and same-site return visits. RESULTS: We identified 12,621,159 patient visits to the 31 study EDs, including 841,259 same-site and 107,713 different-site return visits within 72 hours of initial ED presentation. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for the initial-visit characteristics' predictive relationship that any return visit would be at a different site: daytime visit (OR 1.10; 95% CI 1.07 to 1.12), patient-hospital county concordance (OR 1.40; 95% CI 1.36 to 1.44), male sex (OR 1.27; 95% CI 1.24 to 1.30), aged 65 years or older (OR 0.55; 95% CI 0.53 to 0.57), sites with an ED residency (OR 0.41; 95% CI 0.40 to 0.43), sites at an academic hospital (OR 1.12; 95% CI 1.08 to 1.15), sites with high density of surrounding EDs (OR 1.73; 95% CI 1.68 to 1.77), and sites with a high frequency of same-site return visits (OR 0.10; 95% CI 0.10 to 0.11). CONCLUSION: This analysis describes how ED encounters with early revisits to the same hospital differ from those with revisits to a second hospital. These findings challenge the use of single-site return-visit frequency as a quality measure, and, more constructively, describe how hospitals can use health information exchange to more accurately identify early ED return visits and to support programs related to these revisits.

Patient Perspectives on EMS Alternate Destination Models.

INTRODUCTION: Studies have shown that a large number of ambulance transports to emergency departments (ED) could have been safely treated in an alternative environment, prompting interest in the development of more patient-centered models for prehospital care. We examined patient attitudes, perspectives, and agreement/comfort with alternate destinations and other proposed innovations in Emergency Medical Services (EMS) care delivery and determined whether demographic, socioeconomic, acuity, and EMS utilization history factors impact levels of agreement. METHODS: We conducted a cross-sectional study on a convenience sample of patients and caregivers presenting to an urban academic ED between July 2012 and May 2013. Respondents were surveyed on levels of agreement with 13 statements corresponding to various aspects of a proposed patient-centered emergency response system including increased EMS access to healthcare records, shared decision making with the patient and/or primary care physician, transport to alternative destinations, and relative importance of EMS assessment versus transportation. Information on demographic and socioeconomic factors, level of acuity, and EMS utilization history were also determined via survey and chart review. Responses were analyzed descriptively and compared across patient characteristics using chi-square and regression analyses. RESULTS: A total of 621 patients were enrolled. The percentage of patients who agreed or strongly agreed with each of the 13 statements ranged from 48.2 to 93.8%. About 86% agreed with increased EMS access to healthcare records; approximately 72% agreed with coordinating disposition decisions with a primary physician; and about 58% supported transport to alternative destinations for low acuity conditions. No association was found between levels of agreement and the patient's level of acuity or EMS utilization history. Only Black or Hispanic race showed isolated associations with lower rates of agreement with some aspects of an innovative EMS care delivery model. CONCLUSION: A substantial proportion of patients surveyed in this cross sectional study agreed with a more patient-centered approach to prehospital care where a 9-1-1 call could be met with a variety of treatment and transportation options. Agreement was relatively consistent among a diverse group of patients with varying demographics, levels of acuity and EMS utilization history. MeSH Key words: emergency medical services; triage; telemedicine; surveys and questionnaires; transportation of patients.