Biomaterial Database

United States' Performance on Emergency Department Throughput, 2006 to 2016. 2021

Abubakar Sadiq Bouda Abdulai, and Fahad Mukhtar, and Michael Ehrlich

Martin Tuchman School of Management, New Jersey Institute of Technology, Newark, NJ; New Jersey Innovation Institute Healthcare Delivery Systems iLab, Newark, NJ. Electronic address: aba38@njit.edu.

Studies of early data found that US emergency departments (EDs) were characterized by prolonged patient waiting, long visit times, frequent and prolonged boarding (ie, patients kept waiting in ED hallways or other space outside the ED on admission to the hospital), and patients leaving without receiving or completing treatment. We sought to assess recent trends in ED throughput nationally. This was a retrospective cross-sectional analysis of data from the National Hospital Ambulatory Medical Care Survey from 2006 to 2016. We used survey-weighted generalized linear models to assess changes over time. The primary outcome variables were the number of visits, wait time to consult a physician, length of visit (time from arrival to leaving for home or hospital ward), boarding time, the proportion of patients leaving without being seen, the proportion treated within recommended waiting times, and the proportion dispositioned within 4, 6, and 8 hours. Between 2006 and 2016, the number of ED visits increased from 119.2 million to 145.6 million. During this period, annual median wait time decreased from 31 minutes (interquartile range 14 to 67) to 17 minutes (interquartile range 6 to 45). The proportion of patients who left without being seen declined from 2.0% (95% confidence interval [CI] 1.7% to 2.4%) to 1.1% (95% CI 0.8% to 1.4%). The proportion treated by a qualified practitioner within recommended waiting times increased from 75.5% (95% CI 72.7% to 78.3%) to 80.8% (95% CI 77.2% to 84.4%). Overall, there was no statistically significant change in median length of visit. However, over time, decreased proportions of the sickest patients were discharged within 4, 6, and 8 hours, whereas increased proportions of low-acuity patients were discharged within 4 hours. The distribution of patient boarding time remained fairly unchanged from 2009 to 2015, with a median of approximately 75 minutes. Overall, there was improvement in ED timeliness from 2006 to 2016. However, we observed a decrease in the proportion of the sickest patients discharged within 8 hours of arrival, although this may be due to increased ancillary testing or specially consultation over time.

UI	MeSH Term	Description	Entries
D007902	Length of Stay	The period of confinement of a patient to a hospital or other health facility.	Hospital Stay,Hospital Stays,Stay Length,Stay Lengths,Stay, Hospital,Stays, Hospital
D011795	Surveys and Questionnaires	Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions.	Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D003430	Cross-Sectional Studies	Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.	Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D004636	Emergency Service, Hospital	Hospital department responsible for the administration and provision of immediate medical or surgical care to the emergency patient.	Emergency Outpatient Unit,Emergency Services Utilization,Hospital Emergency Room,Hospital Emergency Service,Hospital Emergency Services Utilization,Accident and Emergency Department,Emergency Departments,Emergency Hospital Service,Emergency Room,Emergency Units,Emergency Ward,Hospital Service Emergency,Service, Hospital Emergency,Department, Emergency,Departments, Emergency,Emergencies, Hospital Service,Emergency Department,Emergency Hospital Services,Emergency Outpatient Units,Emergency Room, Hospital,Emergency Rooms,Emergency Rooms, Hospital,Emergency Services, Hospital,Emergency Unit,Emergency Wards,Emergency, Hospital Service,Hospital Emergency Rooms,Hospital Emergency Services,Hospital Service Emergencies,Hospital Service, Emergency,Hospital Services, Emergency,Outpatient Unit, Emergency,Outpatient Units, Emergency,Room, Emergency,Room, Hospital Emergency,Rooms, Emergency,Rooms, Hospital Emergency,Service Emergencies, Hospital,Service Emergency, Hospital,Service, Emergency Hospital,Services Utilization, Emergency,Services Utilizations, Emergency,Services, Emergency Hospital,Services, Hospital Emergency,Unit, Emergency,Unit, Emergency Outpatient,Units, Emergency,Units, Emergency Outpatient,Utilization, Emergency Services,Ward, Emergency,Wards, Emergency
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012189	Retrospective Studies	Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.	Retrospective Study,Studies, Retrospective,Study, Retrospective
D014481	United States	A country in NORTH AMERICA between CANADA and MEXICO.
D014850	Waiting Lists	Prospective patient listings for appointments or treatments.	List, Waiting,Lists, Waiting,Waiting List
D016312	Treatment Refusal	Patient or client refusal of or resistance to medical, psychological, or psychiatric treatment. (APA, Thesaurus of Psychological Index Terms, 8th ed.)	Avoidance of Health Care,Avoidance of Healthcare,Avoided Health Care,Avoided Healthcare,Health Care Avoidance,Healthcare Avoidance,Patient Refusal of Treatment,Refusal of Treatment,Anesthesia Refusal,Patient Elopement,Anesthesia Refusals,Elopement, Patient,Refusal, Anesthesia,Refusals, Anesthesia,Treatment Refusals