In 2022, emergency department visit rate was highest among infants under the age of one. Adults 75 years and over had the second-highest ED visit rate, while the average for all ages was 47 visits per 100 people in 2022.

Emergency room visit rates across the United States show significant variation, with a national average of 422 visits per 1,000 population in 2023. This average masks considerable differences between states, ranging from 596 visits per 1,000 population in West Virginia to just 226 in Nevada. Wait times in emergency rooms While ER visit rates provide insight into utilization, wait times offer a glimpse into the efficiency of emergency care delivery. In 2022, ER patients waited an average of 38.1 minutes to see a healthcare provider in emergency departments nationwide. Interestingly, the COVID-19 pandemic temporarily reduced wait times in 2020, but they rebounded to pre-pandemic levels by 2021. Most patients, roughly 70 percent, spend less than an hour in the emergency department before being seen by a medical professional. These figures suggest that despite high utilization in some areas, many emergency departments manage to process patients relatively quickly. Demographic disparities in emergency care Emergency department usage varies significantly across different demographic groups, revealing important healthcare access disparities. Infants under one-year-old and adults 75 years and over have the highest ED visit rates among all age groups. Additionally, racial disparities in ED rates are evident, with non-Hispanic Black individuals having double the ED visit rate of non-Hispanic White individuals. These patterns underscore the need for targeted healthcare interventions and improved access to acute care for vulnerable populations.

In 2019, around **** percent of adults in the United States had one or more emergency department visits during the preceding 12 months. This statistic represents the age-adjusted percentage of U.S. adults with emergency department visits within the preceding year from 1997 to 2019.

Frequent users, or individuals with more than 4 emergency department (ED) visits in a year, constitute 10% of all ED users but account for 30% of all visits. Individuals with adverse childhood experiences (ACE) are known to have worse health than the general population and may be more likely to utilize EDs. Resilience, the ability to adapt to adversity, is a modifiable variable. Low resilience is associated with increased healthcare utilization. The relationship between ACE and resilience has not been examined in the ED. This study examines the impact of ACE on the frequency of ED use and how resilience modifies this relationship.

For patients aged 20 to 24 years, 15.4 percent of emergency department visits for sports and recreational injuries in the U.S. were due to basketball. This statistic shows the distribution of emergency department visits for sports and recreational activity injuries for patients aged 20 to 24 years in the United States from 2010 to 2016, by activity type.

Age-adjusted Emergency department visit rate among adults for diabetes, Office of Statewide Health Planning and Development, 2014 Patient Discharge Data; State of California, Department of Finance, State and County Population Projection, 2010-2060. Sacramento, California, February, 2017METADATA:Notes (String): Lists table title, notes and source.Year (Numeric): Year of data.Category (String): Lists the category representing the data: SCC adults is for total adult residents, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only) and age groups (18-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+).Rate per 100,000 people (Numeric): Age-adjusted emergency department visit rate among adults for diabetes, 2014.

Introduction: The crowding of emergency departments (ED) has been a growing problem for years, putting the care of critically ill patients increasingly at risk. The INDEED project's overall aim is to get a better understanding of ED utilization and to evaluate corresponding primary health care use patterns before and after an ED visit while driving forward processes and methods of cross-sectoral data merging. We aim to identify adequate utilization of EDs and potentially avoidable patient contacts as well as subgroups and clusters of patients with similar care profiles.Methods: INDEED is a joint endeavor bringing together research institutions and hospitals with EDs in Germany. It is headed by the Charité–Universitätsmedizin Berlin, collaborating with Otto von Guericke University Magdeburg, Technische Universität Berlin, the Central Research Institute of Ambulatory/Outpatient Health Care in Germany (Zi), and the AOK Research Institute as part of the Federal Association of AOK, as well as experts in the technological, legal, and regulatory aspects of medical research (TMF). The Institute for Information Technology (OFFIS) was involved as the trusted third party of the project. INDEED is a retrospective study of approximately 400,000 adult patients with statutory health insurance who visited the ED of one of 16 participating hospitals in 2016. The routine hospital data contain information about treatment in the ED and, if applicable, about the subsequent hospital stay. After merging the patients' hospital data from 2016 with their outpatient billing data from 2 years before to 1 year after the ED visit (years 2014–2017), a harmonized dataset will be generated for data analyses. Due to the complex data protection challenges involved, first results will be available in 2021.Discussion: INDEED will provide knowledge on extracting and harmonizing large scale data from varying routine ED and hospital information systems in Germany. Merging these data with the corresponding outpatient care data of patients offers the opportunity to characterize the patient's treatment in outpatient care before and after ED use. With this knowledge, appropriate interventions may be developed to ensure adequate patient care and to avoid adverse events such as ED crowding.

Rate: Number of emergency room visits per 100,000 persons age 5 - 64 years old.

Definition: Rate of emergency room visits due to asthma (primary diagnosis of asthma, defined by ICD-9 code 493 for January 2000 through September 2015; and ICD-10 codes J44 and J45 for the last quarter of 2015).

Source: New Jersey Uniform Billing Patient Summary Data (Hospital Discharges), Office of Health Care Quality and Assessment, New Jersey Department of Health

Introduction Older adults with multi-morbidities have the highest rate of ED usage. These patients are typically on numerous medications, may have underlying dementia, and often present with falls and delirium. Identifying these high-risk older adults for possible intervention is challenging in the ED setting since available screening methods are manual and resource-intensive. The objective is to study the feasibility of using the Electronic Medical Record (EMR) for identifying high-risk older adults in Emergency Department (ED). Study Setting Academic ED with 67,000 total and 24% geriatric (age ≥ 65 years) annual visits, American College of Emergency Physician (ACEP) accredited Level 1 Geriatric Emergency Department with ED-based geriatric consultation program. Materials and Methods This is a feasibility study incorporating criteria from existing manual geriatric screening instruments and the 4M framework into an automated EMR screen to identify high-risk geriatric patients. ED provide...

BackgroundThe geriatric and health characteristics of older adults make them more susceptible to the effects of opioids than younger groups. The number of older adults in the United States visiting the emergency department (ED) and overusing opioids has increased in recent years. Research examining their relationship is, however, limited.MethodsUsing information from the 2020 National Health Interview Survey (NHIS), we included older adults aged 65 and older. To investigate the relationship between prescribed opioid use and 12-months ED visits and hospitalizations, linear regression and logistic regression models were built while adjusting for age, sex, ethnicity, education, employment, general health status, history of depression, and living arrangement.ResultsOur study population consisted of 8,631 participants (mean age 74.3). Most of them were females (58.3%) and Caucasian (81.6%). About 16% of the participants used prescribed opioids over the past 12 months. Of the participants with prescribed opioid use, 65.1% of them did so to treat chronic pain. The adjusted regression models revealed that prescribed opioid use was independently and positively associated with 12-months ED visits (β = 0.22, 95% confidence interval [CI] 0.18, 0.26) and hospitalizations (Odds ratio [OR] = 3.78, 95% CI 3.29, 4.35). Other risk factors for 12-months ED visits and/or hospitalizations included advanced age, male gender, unemployment/retirement, African American ethnicity, living alone, fair or poor general health status, and history of depression.DiscussionsClinicians should screen older adults at high risk for ED visits and hospitalizations and explore multimodal pain management with them to help them reduce/stop using opioids. These efforts may decrease their chronic pain, opioid use, opioid use-related adverse health outcomes, ED visits, as well as hospitalizations.

Objectives: Older adults are more likely to experience drug-related problems (DRP), which could lead to medication-related emergency department visits (MRED). To properly evaluate MRED, the entire history of drug use should be evaluated in a structured manner. However, limited studies have identified MRED with complete prescription records. We aimed to evaluate the prevalence and risk factors of MRED among community-dwelling older patients by linking national claims data and electronic medical records using a standardized medication related admission identification method.Methods: We included older patients who visited the emergency departments of four participating hospitals in 2019. Among the 54,034 emergency department (ED) visitors, we randomly selected 6,000 patients and structurally reviewed their medical records using a standardized MRED identification method after linking national claims data and electronic medical records. We defined and categorized MRED as ED visits associated with adverse drug events and those caused by the underuse of medication, including treatment omission and noncompliance and assessed as having probable or higher causality. We assessed preventability using Schumock and Thornton criteria.Results: MRED was observed in 14.3% of ED visits, of which 76% were preventable. In addition, 32.5% of MRED cases were related to underuse or noncompliance, and the rest were related to adverse drug events. Use of antipsychotics, benzodiazepines, anticoagulants, traditional nonsteroidal anti-inflammatory drugs without the use of proton pump inhibitors, P2Y12 inhibitors, insulin, diuretics, and multiple strong anticholinergic drugs were identified as predictors of MRED.Conclusion: One in seven cases of ED visits by older adults were medication related and over three-quarters of them were preventable. These findings suggest that DRPs need to be systemically screened and intervened in older adults who visit ED.

This project was an investigation into the natural course of service needs, use, and trajectories among high-risk youth and young adults with drug use who presented to an inner-city Emergency Department with multiple risk behaviors (with and without acute violent injury). Eligible participants included youth/young adults (ages 14-24) who sought care at the Hurley Medical Center (HMC) Emergency Department (ED) located in Flint, Michigan between December 19, 2009 and September 7, 2011. Consenting youth completed a self-administered computerized screening survey. All participants who self-reported past year drug use were recruited for the longitudinal study. For a comparison group, a randomly selected sample of drug using youth seeking ED care for other reasons (e.g. abdominal pain, motor vehicle crash) were selected for longitudinal study (equilibrated monthly proportionally for age/gender with the acute violent injury group). Participants in the violent injury and comparison group completed a baseline assessment during their ED visit. Dataset 1 (DS1) contains the Baseline Screener Data of both young adults and youth. This data file has 1,448 cases and 253 variables. Each case represents an individual seeking treatment in the emergency department. Dataset 2 (DS2) contains the Baseline Youth Data. This data file has 89 cases and 363 variables. Of these 89 cases, 51 of the youths (ages 14-17) presented to the Emergency Department with a violent injury. The remaining 38 respondents reported to the Emergency Department for non-violent injury and are part of the comparison group. Dataset 3 (DS3) contains the Baseline Young Adult Data. This file contains 511 cases and 380 variables. Of these 511 cases, 299 of the young adults (ages 18-24) presented to the Emergency Department with a violent injury. The remaining 212 respondents reported to the Emergency Department for non-violent injury and are part of the comparison group. The Baseline Screener Data includes demographics and information about public assistance, income, work, marital status, insurance, the injury visit, school/grades, retaliation attitudes, fights, violence, gang affiliation, weapons, partner violence, nicotine use, alcohol use, drug use, HIV risk-taking behaviors, needle use, sexual behavior, STD/HIV, past adolescent injuries, age on onset of drug use, and current conflict and aggression. The Baseline Youth and Young Adult Data include brief sexual behavior, threat of retaliation, brief symptom inventory, drug and alcohol refusal efficacy, drinking and driving (DUI), community involvement, peer influences, non-partner aggression, parental support, parent influence on drug and alcohol use, family conflict, mentors, fight self-efficacy, community violence, medical care, alcohol dependence/abuse, drug dependence/abuse, substance abuse service utilization, post traumatic stress disorder (PTSD), conduct disorder (youth) or antisocial personality disorder (young adult), legal system involvement, major depressive episodes, and mental health service utilization.

Emergency Medicine Market Outlook

The global emergency medicine market is experiencing significant growth, with a market size valued at approximately USD 28 billion in 2023, projected to reach over USD 50 billion by 2032, highlighting a robust compound annual growth rate (CAGR) of around 6.5% during the forecast period. This growth is primarily driven by increasing incidences of trauma and chronic diseases, the rising demand for urgent care services, and advancements in medical technology. The sustained increase in healthcare expenditures and the growing emphasis on improving emergency healthcare infrastructure are further accelerating market expansion. As awareness about emergency medical services (EMS) continues to rise, both developed and developing regions are seeing a surge in investments aimed at enhancing the efficiency and accessibility of emergency care services.

One of the key growth factors propelling the emergency medicine market is the rising prevalence of chronic and acute health conditions that lead to frequent emergency department visits. Conditions such as cardiovascular diseases, respiratory disorders, and traumatic injuries necessitate immediate care, significantly contributing to the demand for emergency medicine. The aging global population is another crucial factor as older adults are more susceptible to sudden health issues requiring urgent medical attention. Furthermore, increased awareness about the benefits of timely emergency care and the expansion of healthcare insurance coverage have made emergency medical services more accessible to a broader population base. This confluence of factors is driving market growth and encouraging innovations in emergency medicine.

Technological advancements in emergency medical equipment and solutions are also significantly contributing to the growth of the emergency medicine market. Innovations such as portable diagnostic devices, telemedicine, and advanced critical care equipment have revolutionized emergency medical services, allowing for faster diagnosis and treatment of patients. The integration of artificial intelligence and data analytics in EMS is enhancing decision-making processes, improving patient outcomes, and optimizing resource allocation in emergency departments. As these technologies continue to evolve, they are expected to further expand the capabilities and efficiency of emergency medicine, attracting more investments and fostering market growth.

The global economic environment and healthcare policies also play a pivotal role in driving the emergency medicine market forward. Governments and private healthcare providers across various regions are increasingly focusing on improving emergency care infrastructure, especially in rural and underserved areas. Initiatives aimed at training and expanding the pool of emergency medical professionals are gaining momentum, addressing the growing demand for skilled personnel in emergency departments. Additionally, economic growth in emerging markets is leading to better healthcare funding, which is further boosting the demand for advanced emergency medical services. These efforts are expected to create a robust foundation for the continued expansion of the emergency medicine market over the coming years.

Regionally, North America currently dominates the emergency medicine market due to its well-established healthcare infrastructure, high healthcare expenditure, and the presence of major market players. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by rapid urbanization, increasing healthcare investments, and a rising burden of chronic diseases. Latin America and Europe are also emerging as significant markets due to improvements in healthcare systems and the increasing adoption of advanced medical technologies. Meanwhile, the Middle East & Africa are experiencing moderate growth, as countries in these regions are gradually investing in enhancing their healthcare infrastructure and emergency response systems.

Product Type Analysis

The emergency medicine market is segmented by product type into medications, equipment, and software solutions, each playing a crucial role in delivering efficient emergency care. Medications constitute a significant portion of the market, as they are essential for the immediate treatment of various conditions encountered in emergency settings, such as acute pain, cardiovascular emergencies, and infections. The development of novel drugs and formulations specifically designed for emergency use is driving this segment. Pharmaceutical companies are investing heavily in research and development to crea

Urolithiasis is a disease that effects 12% of the population and its incidence is growing. In the US there are over 1.1 million visits annually to Emergency Departments for renal colic. The disease is extremely painful, often requiring large amounts of narcotic analgesia, and results in lost work days. Moreover, up to 30% of patients may eventually require lithotripsy or surgical removal of the stone. Currently there are no medical interventions other than analgesia which are offered to patients.

Based on encouraging results from several small European clinical studies, the researchers hypothesize that the administration of tamsulosin to patients with symptomatic urolithiasis will enhance stone passage, and reduce both the time to recovery and the need for surgical intervention or lithotripsy. The researchers will conduct a study by identifying and recruiting patients presenting with urolithiasis in the emergency departments of four institutions.

A total of 500 consenting subjects will be randomly assigned to one of two groups:

1. tamsulosin for a maximum of 28 days;

2. placebo for a maximum of 28 days.

   In addition, both groups will receive standard analgesic therapy.

   The study team, which will be blinded to treatment status, will monitor each subject's clinical progress and outcome. The primary objectives of this study are:

3. to determine if tamsulosin is effective, and

4. to evaluate the safety of the therapy.

   Another objective is to identify the most appropriate clinical subgroup(s) for treatment.

   If the therapeutic benefits observed in smaller clinical studies are replicated, administration of these medications should produce several benefits, including:

5. a reduction in time to pain free recovery and hence a more rapid return to employment;

6. decreased requirements for narcotic analgesia;

7. less need for urological out-patient clinic follow-up;

8. decreased need for surgical intervention or lithotripsy; and

9. substantial cost savings.

   If this therapy is beneficial, it will represent a major advance in the treatment of urolithiasis. This objective is a major stated goal of the NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) Clinical Urology Program, which has a stated mission to improve the treatment of urolithiasis.

   Kidney stones are a major public health issue, and one person in eight will be affected by the disease. If the hypothesis is verified, the researchers will provide the first medical therapy ever for this disease. This therapy, if effective, will reduce the amount of time a patient is off work because of the pain from the disease, and may also reduce the need for expensive and time-consuming surgical treatments.

In 2016, there were an estimated 45.7 urban emergency department visits by adults aged 65 years and older per 100 population in the U.S. This statistic shows the rate of urban emergency department visits in the U.S. in 2005 and 2016, by age group.

Objective: Inappropriate use of the emergency department (ED) represents a major worldwide issue both in pediatric and adult age. Herein, we aim to describe features of pediatric visits to the ED of Salerno University Hospital and to evaluate parental reasons behind the decision to walk in.Materials and Methods: We performed a retrospective observational study evaluating ED encounters for children from January 2014 to December 2019. The appropriateness of visits was measured with a national tool assessing every ED encounter, namely, “the Mattoni method,” which consists of the combination of the triage code assigned, the diagnostic resources adopted, and the consultation outcomes. Moreover, 64 questionnaires were collected from a sample of parents in the waiting rooms in January 2020.Results: A total number of 42,507 visits were recorded during the study period (19,126 females; mean age ± SD: 4.3 ± 3.8 years), the majority of whom were inappropriate (75.8% over the considered period; 73.6% in 2014; 74.6% in 2015; 76.3% in 2016; 76.7% in 2017; 77.9% in 2018; 75.5% in 2019). Most of the inappropriate consultations arrived at the ED by their own vehicle (94.4%), following an independent decision of the parents (97.2%), especially in the evening and at night on Saturdays/Sundays/holidays (69.7%). A multivariate analysis revealed the following: patients of younger age (OR: 1.11, 95% C.I. 1.06–1.16; p < 0.0019), night visits (OR 1.39; 95% C.I.: 1.32–1.47; p < 0.001), patients living in the municipality of Salerno (OR 1.28; 95% C.I.: 1.22–1.34; p < 0.001), weekend day visits (OR 1.48; 95% C.I.: 1.41–1.56; p < 0.001), and independent parental decision without previous contact with primary care pediatrician (OR 3.01; 95% C.I.: 2.64–3.44; p < 0.001) were all significant independent predictors of inappropriate consultation. The most frequent trigger of ED encounters was fever (51.4%). Hospital admission made up 17.6% of all consultations. The questionnaire showed that most parents were aware of the lack of urgency (20.3%) or minor urgency (53.1%) of the visit. The reasons for walking in were the impossibility to receive a home consultation (70%), the difficulty of contacting their family pediatrician during weekends and holidays (54.4%), as well as the search for a quick, effective, diagnosis and therapy (48.4%).Conclusions: The study suggests a highly inappropriate use of ED for children in our region. This issue deserves considerable attention by health care system leaders in order to optimally integrate hospitals and primary care.

This map service includes the acute and non-acute care hospitals in Massachusetts.Acute care hospitals are those licensed under MGL Chapter 111, section 51 and which contain a majority of medical-surgical, pediatric, obstetric, and maternity beds, as defined by the Massachusetts Department of Public Health (DPH). The features in this layer are based on database information provided to MassGIS from the DPH, Office of Emergency Medical Services (OEMS) and the Center for Health Information and Analysis (CHIA).All hospitals in the state that have a 24-hour emergency department are included in this layer, but not all facilities in this layer have an emergency department (the ER_STATUS field stores this data). Other attributes include cohort, adult and pediatric trauma levels, and special public funding. See CHIA's Massachusetts Acute Hospital Profiles page for more information. CHIA reviewed the final revision in November 2018.Non-acute care hospitals in Massachusetts are typically identified as psychiatric, rehabilitation, and chronic care facilities, along with some non-acute specialty hospitals, using the Massachusetts Department of Public Health (DPH) and Department of Mental Health (DMH) license criteria as well as a listing on the state's Bureau of Hospitals website. The non-acute care hospitals are based on database information provided by the DPH and the Center for Health Information and Analysis (CHIA). CHIA reviewed this layer in November 2018.Non-acute care hospitals in this layer do not contain 24/7 emergency departments.See the full data layer descriptions:Acute care hospitalsNon-acute care hospitalsMap service also available

BackgroundLittle is known about the in-hospital cardiac arrest (IHCA) in the US emergency department (ED). This study aimed to describe the incidence and mortality of ED-based IHCA visits and to investigate the factors associated with higher incidence and poor outcomes of IHCA.Materials and MethodsData were obtained from the National Hospital Ambulatory Medical Care Survey (NHAMCS) between 2010 and 2018. Adult ED visits with IHCA were identified using the cardiopulmonary resuscitation code, excluding those with out-of-hospital cardiac arrest. We used descriptive statistics and multivariable logistic regression accounting for NHAMCS’s complex survey design. The primary outcome measures were ED-based IHCA incidence rates and ED-based IHCA mortality.ResultsOver the 9-year study period, there were approximately 1,114,000 ED visits with IHCA. The proportion of IHCA visits in the entire ED population (incidence rate, 1.2 per 1,000 ED visits) appeared stable. The mean age of patients who visited the ED with IHCA was 60 years, and 65% were men. Older age, male, arrival by ambulance, and being uninsured independently predicted a higher incidence of ED-based IHCA. Approximately 51% of IHCA died in the ED, and the trend remained stable. Arrival by ambulance, nighttime, or weekend arrival, and being in the non-Northeast were independently associated with a higher mortality rate after IHCA.ConclusionThe high burden of ED visits with IHCA persisted through 2010–2018. Additionally, ED-based IHCA survival to hospital admission remained poor. Some patients were disproportionately affected, and certain contextual factors were associated with a poorer outcome.

This statistic shows the percentage of adults with at least one hospital emergency room visit in the past twelve months in the U.S. in 2017, by metropolitan statistical area (MSA) status. In 2017, **** percent of adults who did not live in an MSA indicated that they had visited a hospital emergency department at least once in the past twelve months.

IntroductionPotentially inappropriate medications (PIM) and resulting adverse health outcomes in older adults are a common occurrence. However, PIM prescriptions are still frequent for vulnerable older adults. Here, we sought to estimate the risk of hospitalization and emergency department (ED) visits associated with PIM prescriptions over different exposure periods and PIM drug categories.MethodsWe used the National Health Insurance Service-Elderly Cohort Database (NHIS-ECDB) to construct the cohort and implemented a Self-Controlled Case Series (SCCS) method. Hospitalization or ED visits during the exposure and post-exposure periods were compared to those during the non-exposure period, and six PIM drug categories were evaluated. A conditional Poisson regression model was applied, and the risk of outcomes was presented as the incidence rate ratio (IRR). All potential time-varying covariates were adjusted by year. A total of 43,942 older adults aged ≥65 y who had at least one PIM prescription and the events of either hospitalization or ED visits between Jan 2016 and Dec 2019 were selected..ResultsMean days of each exposure period was 46 d (±123); risk was highest in exposure1 (1–7 d, 37.8%), whereas it was similar during exposure2 (15–28 d), and exposure3 (29–56 d) (16.6%). The mean number of total PIM drugs administered during the study period was 7.34 (±4.60). Both hospitalization and ED visits were significantly higher in both exposure (adjusted IRR 2.14, 95% Confidence Interval (CI):2.11–2.17) and post-exposure periods (adjusted IRR 1.41, 95% CI:1.38–1.44) in comparison to non-exposure period. The risk of adverse health outcomes was highest during the first exposure period (1–14 d), but decreased gradually over time. Among the PIM categories, pain medication was used the most, followed by anticholinergics. All PIM categories significantly increased the risk of hospitalization and ED visits, ranging from 1.18 (other PIM) to 2.85 (pain medication). Sensitivity analyses using the first incidence of PIM exposure demonstrated similar results. All PIM categories significantly increased the risk of hospitalization and ED visits, with the initial period of PIM prescriptions showing the highest risk. In subgroup analysis stratified by the number of medications, PIM effects on the risk of hospitalization and ED visits remained significant but gradually attenuated by the increased number of medications.DiscussionTherefore, the development of deprescribing strategies to control PIM and polypharmacy collectively is urgent and essential.