scholarly journals Cross-Sectional Analysis of the Complaints and Emergency Department Attendances During COVID-19 Pandemic

Cureus ◽  
2020 ◽  
Author(s):  
Ali Ghaffar ◽  
Rajendar Garlapati
Keyword(s):  
Emergency Department ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Trends in Emergency Department Visits and Charges for Gout in the United States between 2006 and 2012

2016 ◽  
Vol 43 (8) ◽  
pp. 1589-1592 ◽  
Author(s):  
Sadao Jinno ◽  
Kohei Hasegawa ◽  
Tuhina Neogi ◽  
Tadahiro Goto ◽  
Maureen Dubreuil
Keyword(s):  
United States ◽  
Emergency Department ◽  
Temporal Trends ◽  
The United States ◽  
Emergency Department Visits ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Ed Visits ◽  
Sectional Analysis

Objective.To examine temporal trends in the rate of gout emergency department (ED) visits and charges in the United States between 2006 and 2012.Methods.A serial cross-sectional analysis of the Nationwide Emergency Department Sample.Results.The rate of ED visits for gout in adults overall increased from 75.0 to 85.4 per 100,000 persons over the study period (14% increase, p < 0.001), and increased 29% for those aged 45–54 years. Nationwide ED charges increased from $156 million to $281 million (80% increase, p < 0.001).Conclusion.Between 2006 and 2012, the rate of gout ED visits increased among US adults, most notably in those aged 45–54 years.

scholarly journals Missed diagnosis of stroke in the emergency department: a cross-sectional analysis of a large population-based sample

Diagnosis ◽  
2014 ◽  
Vol 1 (2) ◽  
pp. 155-166 ◽  
Author(s):  
David E. Newman-Toker ◽  
Ernest Moy ◽  
Ernest Valente ◽  
Rosanna Coffey ◽  
Anika L. Hines
Keyword(s):  
Emergency Department ◽  
Large Population ◽  
Population Based ◽  
Teaching Hospitals ◽  
Older Individuals ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Cerebrovascular Events ◽  
Asian Pacific ◽  
Sectional Analysis

AbstractSome cerebrovascular events are not diagnosed promptly, potentially resulting in death or disability from missed treatments. We sought to estimate the frequency of missed stroke and examine associations with patient, emergency department (ED), and hospital characteristics.Cross-sectional analysis using linked inpatient discharge and ED visit records from the 2009 Healthcare Cost and Utilization Project State Inpatient Databases and 2008–2009 State ED Databases across nine US states. We identified adult patients admitted for stroke with a treat-and-release ED visit in the prior 30 days, considering those given a non-cerebrovascular diagnosis as probable (benign headache or dizziness diagnosis) or potential (any other diagnosis) missed strokes.There were 23,809 potential and 2243 probable missed strokes representing 12.7% and 1.2% of stroke admissions, respectively. Missed hemorrhages (n=406) were linked to headache while missed ischemic strokes (n=1435) and transient ischemic attacks (n=402) were linked to headache or dizziness. Odds of a probable misdiagnosis were lower among men (OR 0.75), older individuals (18–44 years [base]; 45–64:OR 0.43; 65–74:OR 0.28; ≥75:OR 0.19), and Medicare (OR 0.66) or Medicaid (OR 0.70) recipients compared to privately insured patients. Odds were higher among Blacks (OR 1.18), Asian/Pacific Islanders (OR 1.29), and Hispanics (OR 1.30). Odds were higher in non-teaching hospitals (OR 1.45) and low-volume hospitals (OR 1.57).We estimate 15,000–165,000 misdiagnosed cerebrovascular events annually in US EDs, disproportionately presenting with headache or dizziness. Physicians evaluating these symptoms should be particularly attuned to the possibility of stroke in younger, female, and non-White patients.

scholarly journals Diagnosed and Undiagnosed COVID-19 in US Emergency Department Healthcare Personnel: A Cross-Sectional Analysis

2020 ◽  
Author(s):  
Nicholas M. Mohr ◽  
Karisa K. Harland ◽  
Anusha Krishnadasan ◽  
Patrick Ten Eyck ◽  
William R. Mower ◽  
...  
Keyword(s):  
Emergency Department ◽  
Healthcare Personnel ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis
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