Literature DB >> 35354014

Reduction in Emergency Department Presentations in a Regional Health System during the Covid-19 Pandemic.

Edana Mann1, Daniel Swedien1, Jonathan Hansen1, Susan Peterson1,2, Mustapha Saheed1, Eili Klein1, Ajit Munjuluru1, James Scheulen1, Gabor Kelen1,3,2.   

Abstract

INTRODUCTION: Nationally, there has been more than a 40% decrease in Emergency Department (ED) patient volume during the coronavirus disease 2019 (Covid-19) crisis, with reports of decreases in presentations of time-sensitive acute illnesses. We analyzed ED clinical presentations in a Maryland/District of Columbia regional hospital system while health mitigation measures were instituted.
METHODS: We conducted a retrospective observational cohort study of all adult ED patients presenting to five Johns Hopkins Health System (JHHS) hospitals comparing visits from March 16 through May 15, in 2019 and 2020. We analyzed de-identified demographic information, clinical conditions, and ICD-10 diagnosis codes for year-over-year comparisons.
RESULTS: There were 36.7% fewer JHHS ED visits in 2020 compared to 2019 (43,088 vs. 27,293, P<.001). Patients 75+ had the greatest decline in visits (-44.00%, P<.001). Both genders had significant decreases in volume (-41.9%, P<.001 females vs -30.6%, P<.001 males). Influenza like illness (ILI) symptoms increased year-over-year including fever (640 to 1253, 95.8%, P<.001) and shortness of breath (2504 to 2726, 8.9%, P=.002). ICD-10 diagnoses for a number of time-sensitive illnesses decreased including deep vein thrombosis (101 to 39, -61%, P<.001), acute myocardial infarction (157 to 105, -33%, P=.002), gastrointestinal bleeding (290 to 179, -38.3%, P<.001), and strokes (284 to 234, -17.6%, P=0.03).
CONCLUSION: ED visits declined significantly among JHHS hospitals despite offsetting increases in ILI complaints. Decreases in presentations of time-sensitive illnesses were of particular concern. Efforts should be taken to inform patients that EDs are safe, otherwise preventable morbidity and mortality will remain a problem.

Entities:  

Mesh:

Year:  2021        PMID: 35354014      PMCID: PMC8328168          DOI: 10.5811/westjem.2020.10.49759

Source DB:  PubMed          Journal:  West J Emerg Med        ISSN: 1936-900X


INTRODUCTION

According to the Johns Hopkins Coronavirus Resource Center, the United States experienced over 1.6 million coronavirus disease 2019 (COVID-19) infections and more than 125,000 deaths as of June 29, 2020.1 The pandemic has created a public health emergency due to a combination of factors including high transmissibility, asymptomatic infectious carriers, and without widespread testing, a difficult-to-calculate infection fatality rate (IFR).2 Nationally, there has been a greater than 40% decrease in emergency department (ED) patient volume during this crisis.3–5 Reports have suggested that certain time sensitive presentations requiring immediate medical attention, have decreased as well.6–8 Investigators in Italy reported an increase in out-of-hospital-cardiac arrests (OHCA) that appears strongly correlated with an increasing incidence of COVID-19 in the community.9 Similarly, in California, EMS reported sudden increases in out of hospital cardiac arrests (OHCA) in COVID-19 negative patients, as well as patients arriving too late to receive tissue plasminogen activator for ischemic strokes.4 Another Italian report highlights a significant decrease in ischemic stroke presentations at hospitals.10 While each of these is a concern in and of itself, there has been few detailed analyses characterizing the variance in the multiplicity of patient conditions associated with the ED volume loss. We sought to determine and characterize the change in ED presentations during a period while public health mitigation orders were in effect in Maryland and D.C. (March 16, 2020 school closures to May 15, 2020 non-essential businesses reopen in Maryland; March 24, 2020 non-essential business closures to May 29, 2020 Phase One re-opening in D.C.).11–15 We compared patient volumes, demographics and clinical conditions from March 16th through May 15, 2020 to corresponding dates in 2019 for five regionally dispersed EDs in our health system.

METHODS

Study Design and Setting

We conducted a multi-center retrospective observational cohort study of all registered adult ED patients presenting to any of our five Johns Hopkins Health System hospitals in the mid-Atlantic region. Four of the hospitals are in Maryland and one is in the District of Columbia. The regional hospitals include: a large inner-city academic medical center, an urban community-oriented teaching affiliate, and three community-based non-teaching hospitals. (Figure 1) The study was accepted by the Johns Hopkins Institutional Review Board.
Figure 1

Johns Hopkins Health System (JHHS). Hospital Emergency Departments in Red. Adapted from google map.16

Study Population

All patients aged 15 years or older who presented to each of our five health-system adult EDs from March 16 through May 15, in 2019 and 2020, respectively, were included. Patients who registered but left without being seen were included. Patients younger than 15 years were excluded from the data set.

Data Collection, Outcomes, and Analysis

To identify historical patterns, patient volumes for the 2-month period of interest were obtained for the years 2016–2020 for all sites. All data were abstracted from the EPIC electronic medical records (EMR) of our institutions by an experienced data analyst. For 2019 and 2020, we collected de-identified demographic information such as age, sex, race, ethnicity, as well as presenting chief complaints, dispositions, triage assessments (Emergency Severity Index, HopScore), and primary ICD-10 codes. HopScore is an outcomes-based emergency triage system.17 What do we already know about this issue? During the first wave of the coronavirus disease 2019 (COVID-19) pandemic in the US, there were dramatic decreases in the number of patients presenting to emergency departments. What was the research question? Were there any changes in the clinical conditions presenting to a regional health system during the Covid-19 pandemic? What was the major finding of the study? At the onset of the Covid-19 pandemic, many patients with critical and even fatal illnesses failed to seek emergency care. How does this improve population health? This study highlights the need for widespread communication to the public regarding the safety of emergency departments and the serious implications of avoiding emergency care. Chief complaints with fewer than 15 occurrences were compiled into the “General” category. This included the autoimmune, cancer, dialysis, endocrine metabolic, mass, and transplant categories. Trends over time in visits were calculated for each hospital. For both study periods (2019 and 2020), differences in results across all JHHS EDs was judged as relatively minor. Accordingly, aggregated data was used to identify generalizable trends and to make specific year-over-year comparisons. Decreases from year to year were calculated both as absolute reductions and percentage changes. As the rate of visits to EDs typically follows a Poisson distribution we used the two-sided Poisson test of two means to assess whether the rate of visits over the two-month study period in 2020 was statistically discernable from 2019.18–20

RESULTS

Patient volumes from 2016 to 2019 averaged 42,775 and no year deviated by more than 1.5% over the corresponding two-month study timeframe in any other year, until 2020. In 2019, there were in aggregate 43,088 visits in all five EDs, and 27,293 for the same study time period in 2020, representing a 37% decrease (P<.001). Decreases across all five EDs ranged from 27.7% to 40.3%. (Figure 2). Similar decreases were seen across almost all demographic groups. There was a decline in visits across all age groups, with the largest decrease in those over the age of 75 (−44.00%, P<.001). During the same time period, there was a greater decrease in patients identifying as females (−41.9%, P<.001) than males (−30.6%, P<.001). There were decreases in all self-identified racial groups who had more than 30 visits. There was no appreciable difference in visits amongst those identifying as Hispanic or Latinx 0.7% (P=0.79) compared to significant declines amongst other self-identified ethnicities (Table 1).
Figure 2

Johns Hopkins Health System ED Visits, March 16 – May 15, 2016 – 2020, respectively.

Table 1

Patient demographics by age, gender, race, and ethnicity for time period, March 16 to May 15; 2019 compared with 2020.

03/16/19 to 05/15/1903/16/20 to 05/15/20Change in patient visits, 2019 to 2020P -Value
N =N =N =(% =) *
Total43,08827,293−15,795(−36.7%)<.001
Age
 15–244,2332,395−1,838(−43.4%)<.001
 25–347,7054,970−2,735(−35.5%)<.001
 35–446,5524,525−2,027(−30.9%)<.001
 45–546,6074,327−2,280(−34.5%)<.001
 55–646,6914,508−2,183(−32.6%)<.001
 65–745,0353,050−1,985(−39.4%)<.001
 75+6,2463,498−2,748(−44%)<.001
 Unknown19201(5.3%)1.00
Sex
 Male19,91713,814−6,103(−30.6%)<.001
 Female23,16413,462−9,702(−41.9%)<.001
 Other or not specified71710(142.9%)0.06
Race (self-identified)
 American Indian or Alaska Native6034−26(−43.3%)0.01
 Asian1,492930−562(−37.7%)<.001
 Black or African American16,88910,918−5,971(−35.4%)<.001
 Native Hawaiian or Pacific Islander27281(3.7%)1.00
 White or Caucasian19,56210,989−8,573(−43.8%)<.001
 Two or more races699485−214(−30.6%)<.001
 Other or not specified4,3593,909−450(−10.3%)<.001
 Ethnicity (self-identified)
 Hispanic or Latino3,2533,27522(0.7%)0.79
 Not Hispanic or Latino39,23523,693−15,542(−39.6%)<.001
 Other or not specified600325−275(−45.8%)<.001

Represents change in percent within column category.

Most clinical conditions, with the exception of pulmonary, influenza-like illness (ILI) and penetrating trauma decreased. Conditions decreasing 60% or greater year-over-year were allergy (311 to 108, −65.3%, P<.001), back pain (1192 to 435, −63.5%, P<.001), cardiovascular (69 to 15, −78.3%, P<.001), collision (1117 to 416, −62.8%, P<.001), dizziness (865 to 335, −61.3%, <.001), edema (501 to 193, −61.5%, <.001), head trauma (248 to 95, −61.7%, <.001), isolated musculoskeletal trauma (961 to 347, −63.9%, P<.001), skin/nail/hair (587 to 175, −70.2%, P<.001) as well as surgical wound (319 to 94, −70.5%, P<.001). Clinical conditions related to pulmonary complaints and ILI increased during the comparison periods: fever (640 to 1253, 95.8%, P<.001), lower respiratory infectious symptoms (609 to 1260, 106.9%, P<.001), shortness of breath (2504 to 2726, 8.9%, P=.002) and upper respiratory infectious symptoms (827 to 1825, 120.7%, P<.001) (Table 2).
Table 2

Patients’ chief complaints for time period, March 16 – May 15; 2019 compared with 2020.

03/16/19 – 05/15/1903/16/20 – 05/15/20Change in volume, 2019 to 2020P-value
N =N =Percent change =
Abdominal pain4,7422,512−47.0%<.001
Abnormal finding456271−40.6%<.001
Abscess250110−56.0%<.001
Allergic311108−65.3%<.001
Altered mental status628508−19.1%<.001
Arrest (cardiac and/or respiratory)7851−34.6%0.02
Back pain1,192435−63.5%<.001
Blunt trauma2,5251,399−44.6%<.001
Burn14491−36.8%<.001
Cardiovascular (general)6915−78.3%<.001
Chest pain3,1022,042−34.2%<.001
Collision1,117416−62.8%<.001
Constitutional symptoms264169−36.0%<.001
Dental352176−50.0%<.001
Device224129−42.4%<.001
Dizziness865335−61.3%<.001
Dysrhythmia526283−46.2%<.001
Edema501193−61.5%<.001
Ear, nose and throat symptoms (not epistaxis)338109−67.8%<.001
Environmental4824−50.0%0.01
Epistaxis13763−54.0%<.001
Fever6401,25395.8%<.001
General580399−31.0%<.001
Genitourinary1,415713−49.6%<.001
Gastrointestinal (including bleeding)459222−49.4%<.001
Glucose, abnormal281133−52.7%<.001
Head trauma24895−61.7%<.001
Headache1,165542−53.5%<.001
Hematologic2921−27.6%#N/A
Hypertension383189−50.7%<.001
Hypotension8536−57.6%<.001
Lower respiratory infectious symptoms6091,260106.9%<.001
Medication management15996−39.6%<.001
Musculoskeletal (isolated trauma)961347−63.9%<.001
Musculoskeletal (non-traumatic)3,3231,359−59.1%<.001
Neurologic657422−35.8%<.001
Nausea, vomiting and diarrhea1,244630−49.4%<.001
Ophthalmologic754343−54.5%<.001
Penetrating trauma70757.1%0.74
Pregnancy-related447214−52.1%<.001
Psychiatric2,0521,295−36.9%<.001
Referral9266−28.3%0.05
Seizures375247−34.1%<.001
Shortness of breath2,5042,7268.9%0.002
Sickle cell196103−47.4%<.001
Skin, nails and hair587175−70.2%<.001
Social issues12381−34.1%0.00
Substance abuse1,170674−42.4%<.001
Syncope591308−47.9%<.001
Upper respiratory infectious symptoms8271,825120.7%<.001
Weakness830537−35.3%<.001
Wound677343−49.3%<.001
Wound check404263−34.9%<.001
Wound surgery31994−70.5%<.001
Blank, null, or missing (not mapped)963768−20.2%<.001
TOTAL43, 08827, 293−36.7%<.001
Year-over-year comparisons of time-sensitive illness based on ICD-10 codes ranged from a decrease of 11.9% (P=0.53) for Acute Cholecystitis, to a drop of 61.4% (P<.001) for Deep Vein Thrombosis (DVT). The diagnosis of Acute Myocardial Infarction (MI) including Acute Coronary Syndrome (ACS), ST-elevation MI, and Non-ST elevation MI) decreased 33% (157 to 105, P=.002). Diagnoses of Cardiac Arrest decreased 39.0% (59 to 36, P=0.02), Gastrointestinal Bleeding by 38.3% (290 to 179, P<.001), all stroke syndromes (hemorrhagic and ischemic) by 17.6% (284 to 234, P=0.03), Pulmonary Embolism (PE) decreased 18.3% (115 to 94, P=0.17), Appendicitis by 15.1% percent (126 to 107, P=0.24) and Seizures diagnoses by 22.0% (41 to 32, P=0.35) (Table 3).
Table 3

Comparison of emergency department visits for severe illness across Johns Hopkins Health System for time period, March 16 to May 15; 2019 compared with 2020.

ICD10 Code03/16/19 to 05/15/1903/16/20 to 05/15/20Change in patient visits, 2019 to 2020P-Value
N =N =N =(% =)*
Acute myocardial infarction (MI)
 ST- elevation MII21.02–I21.34833−15(−31.3%)0.12
 Non-ST-elevation MII21.48959−30(−33.7%)0.02
 Acute coronary syndromeI21.9, I24.92013−7(−35%)0.30
 Total acute for MI157105−52(−33.1%)0.002
 Cardiac arrestI46.8–I46.95936−23(−39%)0.02
Stroke
 HemorrhagicI60.0–I62.98370−13(−15.7%)0.33
 IschemicI63.0–I63.9201164−37(−18.4%)0.06
 TOTAL FOR STROKE284234−50(−17.6%)0.03
AppendicitisK35–K37126107−19(−15.1%)0.24
Venous thromboembolism
 Deep venous thrombosisI82.4–I82.610139−62(−61.4%)<.001
 Pulmonary embolismI2611594−21(−18.3%)0.17
 TOTAL FOR VTE216133−83(−38.4%)<.001
Acute cholecystitisK816759−8(−11.9%)0.53
SeizuresG404132−9(−22%)0.35
Gastrointestinal bleedK92290179−111(−38.3%)<.001

Represents change in percent within column category.

DISCUSSION

Our study underscores the disturbing finding that patients with time-sensitive and critical conditions such as AMI, cardiac arrest, stroke, venous thrombotic events, and GI bleeding failed to seek emergency medical care during the period of time when public health mitigation measures were in force in Maryland and D.C. While others have highlighted a few specific conditions and general disease categories, our study included all patient clinical presentations and focused on year-over-year trends of a number of the most common time-sensitive illnesses.3,5,7–9 The rapid onset of the Covid-19 pandemic caused hospital emergency department patient volumes to plummet throughout the nation, and this trend was evident in the Maryland and Washington, D.C. metro area as well.3 Others have provided general evidence of increased morbidity and mortality not attributable to Covid-19, including out of hospital arrest.4–9 Based on our results, it appears likely that these previous observations were not isolated occurrences. During the month of March, 2020, public health emergencies were declared in both Maryland and D.C., and executive stay-at-home orders closing all schools and non-essential businesses were put in place.11–13 Declines in ED patient volumes were subsequently seen across all age groups and genders, with the greatest decline among those 75+. Some of this decrease likely reflected public awareness of reports of increased morbidity and mortality with increasing age.21 Additionally, in Maryland, a Johns Hopkins disaster response program called Go Team partnered with the National Guard, Maryland Department of Health, and the University of Maryland to provide stabilizing care to COVID-19 infected nursing home patients in situ which resulted in a reduction in the number of residents who required transport to local EDs for treatment. While patient volumes fell across most racial and ethnic categories, there was no decrease seen in Hispanic or Latinx visits presenting to JHHS EDs. This is not entirely surprising since Hispanic communities in the US and our region have been found to suffer disproportionately higher rates of COVID-19 infection. Despite significant barriers to healthcare access, low rates of medical insurance, and reluctance to seek care, it should be expected that many in this community would turn to emergency care when symptomatic with a possible COVID-19 infection.22–24 Corresponding to an overall volume decline, was a decrease in most clinical conditions presenting to emergency departments. The exceptions to these downward trends were increased presentations of conditions likely related to COVID-19 such as fever, shortness of breath, and respiratory infections. These complaints, which are potentially indicative of COVID-19 infection, essentially doubled during our study, further accentuating the profound decrease in virtually all other conditions. Our most worrisome finding, however, relates to the significant declines in time-sensitive disease diagnoses. Other researchers have noted similar findings and, indeed, there may be some reasonable explanations for reductions in certain, potentially life-threatening ED presentations.3,7–10,25 For instance, patients in isolated settings may not be exerting themselves or confronting significant stressors and, therefore, incidence of acute cardiac events may have decreased. Additionally, studies have demonstrated that people can survive undiagnosed PEs, and there is even some evidence to suggest that conditions as serious as acute appendicitis are over-treated with surgical intervention.26–29 Taken together, these explanations may elucidate a portion of the decrease in ED volumes of life-threatening conditions. Yet, such possibilities could not reasonably account for the reductions across the numerous time-sensitive illnesses noted in this study. A more likely explanation is that people suffered serious medical crises and failed to seek appropriate care. A recent article noted that emergency medical services (EMS) in Lodi, CA reported a 45% increase in field cardiac arrest calls, and patients with strokes were arriving too late to receive tissue plasminogen activator (tPA).4 Even serious, COVID-19 related complications may have presented to EDs too late for lifesaving care, or patients may have died at home. In Italy, for instance, it was found that a significant percentage of patients who had out-of-hospital cardiac arrests, were also COVID-19+.9 Researchers looking at data from the initial COVID-19 outbreak in China, observed that the inflammatory response to the virus can lead to increased rates of thrombosis.30 This COVID-19 induced coagulopathy has likely resulted in acute myocardial infarctions, pulmonary embolisms and strokes that did not make it to an ED. It is highly probable that public health mitigation measures substantially reduced conditions and behaviors that often result in ED visits for occupational injuries, motor vehicle collisions, non-violent trauma, and complications from elective surgeries.31 What is more, the expansion of telemedicine services during the pandemic may have provided opportunities for ready access to medical care that previously resulted in ED visits.32 Fear, however, likely had the greatest impact on patients failing to seek emergency care. It has been observed anecdotally that anxiety about contracting the Covid-19 infection has caused a significant number of patients to delay or avoid seeking medical care.4,29,33 What our study has clarified is the extent to which ED patients have not sought emergency treatment for time-sensitive, potentially-fatal, medical conditions during the Covid-19 pandemic.

LIMITATIONS

There are several limitations to our study. First, although the data included all adult patients presenting to our regional hospitals during the prescribed time periods, as with all clinical studies, some data misclassification may have occurred. Second, data from other health systems in the State of Maryland were not analyzed and, therefore, the results of this study may not be generalizable across the state or region. While there was wide geographic distribution amongst the study sites, all hospitals were located within relatively populous areas, the Eastern Shore and Western Maryland may have had different experiences.

CONCLUSION

ED visits in our health system by patients with time-sensitive conditions that should not have been influenced by the pandemic or public health orders, decreased substantially compared to a previous similar time period. We experienced a significant decline in volumes despite doubling of presentations consistent with Covid-19 symptoms. The reasons are likely multifactorial including: public health stay-at-home orders, closure of non-essential businesses and schools, discontinuation of non-emergent surgical procedures, availability of alternative care options and, perhaps the highest contributor, the generalized fear about contracting the illness. Hospitals and public health officials need to find a way to better communicate the serious implications of refusing or avoiding emergency medical care. EDs are safe, certainly safer than congregant locations and general indoor public venues. Until the misperception of the risks associated with seeking care at hospital emergency departments are addressed, it is likely that preventable morbidity and mortality will remain a problem.
  14 in total

1.  Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy.

Authors:  Graziano Onder; Giovanni Rezza; Silvio Brusaferro
Journal:  JAMA       Date:  2020-05-12       Impact factor: 56.272

2.  The Covid-19 Pandemic and the Incidence of Acute Myocardial Infarction.

Authors:  Matthew D Solomon; Edward J McNulty; Jamal S Rana; Thomas K Leong; Catherine Lee; Sue-Hee Sung; Andrew P Ambrosy; Stephen Sidney; Alan S Go
Journal:  N Engl J Med       Date:  2020-05-19       Impact factor: 91.245

3.  SARS-CoV-2 Positivity Rate for Latinos in the Baltimore-Washington, DC Region.

Authors:  Diego A Martinez; Jeremiah S Hinson; Eili Y Klein; Nathan A Irvin; Mustapha Saheed; Kathleen R Page; Scott R Levin
Journal:  JAMA       Date:  2020-07-28       Impact factor: 56.272

Review 4.  The Global Incidence of Appendicitis: A Systematic Review of Population-based Studies.

Authors:  Mollie Ferris; Samuel Quan; Belle S Kaplan; Natalie Molodecky; Chad G Ball; Greg W Chernoff; Nij Bhala; Subrata Ghosh; Elijah Dixon; Siew Ng; Gilaad G Kaplan
Journal:  Ann Surg       Date:  2017-08       Impact factor: 12.969

5.  Autopsy-proven untreated previous pulmonary thromboembolism: frequency and distribution in the pulmonary artery and correlation with patients' clinical characteristics.

Authors:  A Ro; N Kageyama; T Tanifuji; M Sakuma
Journal:  J Thromb Haemost       Date:  2011-05       Impact factor: 5.824

6.  Estimating The Infection Fatality Rate Among Symptomatic COVID-19 Cases In The United States.

Authors:  Anirban Basu
Journal:  Health Aff (Millwood)       Date:  2020-05-07       Impact factor: 6.301

7.  Impact of the COVID-19 Pandemic on Emergency Department Visits - United States, January 1, 2019-May 30, 2020.

Authors:  Kathleen P Hartnett; Aaron Kite-Powell; Jourdan DeVies; Michael A Coletta; Tegan K Boehmer; Jennifer Adjemian; Adi V Gundlapalli
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-06-12       Impact factor: 17.586

8.  Out-of-Hospital Cardiac Arrest during the Covid-19 Outbreak in Italy.

Authors:  Enrico Baldi; Giuseppe M Sechi; Claudio Mare; Fabrizio Canevari; Antonella Brancaglione; Roberto Primi; Catherine Klersy; Alessandra Palo; Enrico Contri; Vincenza Ronchi; Giorgio Beretta; Francesca Reali; Pierpaolo Parogni; Fabio Facchin; Davide Bua; Ugo Rizzi; Daniele Bussi; Simone Ruggeri; Luigi Oltrona Visconti; Simone Savastano
Journal:  N Engl J Med       Date:  2020-04-29       Impact factor: 91.245

9.  Reduced Rate of Hospital Admissions for ACS during Covid-19 Outbreak in Northern Italy.

Authors:  Ovidio De Filippo; Fabrizio D'Ascenzo; Filippo Angelini; Pier Paolo Bocchino; Federico Conrotto; Andrea Saglietto; Gioel Gabrio Secco; Gianluca Campo; Guglielmo Gallone; Roberto Verardi; Luca Gaido; Mario Iannaccone; Marcello Galvani; Fabrizio Ugo; Umberto Barbero; Vincenzo Infantino; Luca Olivotti; Marco Mennuni; Sebastiano Gili; Fabio Infusino; Matteo Vercellino; Ottavio Zucchetti; Gianni Casella; Massimo Giammaria; Giacomo Boccuzzi; Paolo Tolomeo; Baldassarre Doronzo; Gaetano Senatore; Walter Grosso Marra; Andrea Rognoni; Daniela Trabattoni; Luca Franchin; Andrea Borin; Francesco Bruno; Alessandro Galluzzo; Alfonso Gambino; Annamaria Nicolino; Alessandra Truffa Giachet; Gennaro Sardella; Francesco Fedele; Silvia Monticone; Antonio Montefusco; Pierluigi Omedè; Mauro Pennone; Giuseppe Patti; Massimo Mancone; Gaetano M De Ferrari
Journal:  N Engl J Med       Date:  2020-04-28       Impact factor: 91.245

10.  Emergency hospital services utilization in Lleida (Spain): A cross-sectional study of immigrant and Spanish-born populations.

Authors:  Montserrat Rué; Xavier Cabré; Jorge Soler-González; Anna Bosch; Mercè Almirall; Maria Catalina Serna
Journal:  BMC Health Serv Res       Date:  2008-04-10       Impact factor: 2.655

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