PapersFlow Research Brief
Emergency and Acute Care Studies
Research Guide
What is Emergency and Acute Care Studies?
Emergency and Acute Care Studies is a field in medicine that examines causes, effects, and solutions for emergency department crowding, patient satisfaction, health care utilization, triage systems, geriatric care, hospital overcrowding, ambulance diversion, primary care access, and health policy implications.
This field encompasses 76,567 works focused on clinical outcomes in emergency settings. Key areas include severity scoring systems like APACHE II and SAPS II for predicting patient risks. Studies also address sepsis incidence, with severe sepsis causing as many annual deaths as acute myocardial infarction in the United States.
Topic Hierarchy
Research Sub-Topics
Emergency Department Crowding
This sub-topic analyzes causes, metrics, and impacts of patient overcrowding in emergency departments on wait times and outcomes. Researchers develop models for throughput optimization and evaluate interventions like fast-track systems.
Triage Systems in Emergency Care
This sub-topic evaluates triage algorithms like ESI and Manchester Triage for risk stratification and resource allocation. Researchers validate tools, assess accuracy, and study inter-rater reliability in high-volume settings.
Geriatric Emergency Care
This sub-topic focuses on frailty assessment, delirium management, and tailored protocols for elderly patients in acute settings. Researchers investigate outcomes, polypharmacy risks, and geriatric ED innovations.
Ambulance Diversion
This sub-topic examines policies and impacts of diverting ambulances from overcrowded hospitals on prehospital delays and mortality. Researchers model alternatives like surge capacity and regional coordination.
Health Care Utilization Patterns
This sub-topic studies factors driving ED overuse, such as primary care access gaps and social determinants. Researchers use econometric models to predict demand and inform policy reforms.
Why It Matters
Emergency and Acute Care Studies inform triage and resource allocation to reduce hospital overcrowding and ambulance diversion. Charlson et al. (1987) developed a comorbidity index validated across studies, enabling risk adjustment in longitudinal research on over 2,000 patients. Angus et al. (2001) analyzed severe sepsis, reporting high costs and elderly prevalence equivalent to myocardial infarction deaths annually. Jencks et al. (2009) found rehospitalizations prevalent and costly among Medicare beneficiaries, guiding policy to cut readmissions by 20% in targeted programs. Baker et al. (1974) introduced the Injury Severity Score using hospital data from more than 2,000 persons to evaluate emergency care for multiple injuries.
Reading Guide
Where to Start
"A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation" by Charlson et al. (1987), as it provides foundational risk adjustment applicable across emergency and acute care contexts.
Key Papers Explained
Charlson et al. (1987) established the comorbidity index, which Quan et al. (2011) updated and validated using data from 6 countries for hospital abstracts. Knaus et al. (1985) introduced APACHE II for severity scoring, complemented by Le Gall (1993) SAPS II for diagnosis-independent mortality estimates. Baker et al. (1974) Injury Severity Score evaluates trauma care, while Fine et al. (1997) rule aids pneumonia triage, and Jencks et al. (2009) quantifies Medicare rehospitalizations.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Studies emphasize policy implications for emergency crowding and geriatric care, with no recent preprints or news available. Focus remains on validating scores like APACHE II and Charlson for current utilization patterns.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | A new method of classifying prognostic comorbidity in longitud... | 1987 | Journal of Chronic Dis... | 48.6K | ✕ |
| 2 | APACHE II | 1985 | Critical Care Medicine | 13.3K | ✕ |
| 3 | Epidemiology of severe sepsis in the United States: Analysis o... | 2001 | Critical Care Medicine | 8.5K | ✕ |
| 4 | The injury severity score: a method for describing patients wi... | 1974 | PubMed | 8.0K | ✕ |
| 5 | A new Simplified Acute Physiology Score (SAPS II) based on a E... | 1993 | JAMA | 6.3K | ✕ |
| 6 | Infectious Diseases Society of America/American Thoracic Socie... | 2007 | Clinical Infectious Di... | 6.2K | ✓ |
| 7 | Updating and Validating the Charlson Comorbidity Index and Sco... | 2011 | American Journal of Ep... | 5.6K | ✓ |
| 8 | Rehospitalizations among Patients in the Medicare Fee-for-Serv... | 2009 | New England Journal of... | 5.1K | ✕ |
| 9 | External review and validation of the Swedish national inpatie... | 2011 | BMC Public Health | 4.9K | ✓ |
| 10 | A Prediction Rule to Identify Low-Risk Patients with Community... | 1997 | New England Journal of... | 4.6K | ✓ |
Frequently Asked Questions
What is the Charlson Comorbidity Index?
The Charlson Comorbidity Index classifies prognostic comorbidity in longitudinal studies. Mary E. Charlson, Peter Pompei, Kathy L. Aleš, and C. Ronald MacKenzie (1987) developed and validated it using hospital and medical examiner data. Quan et al. (2011) updated it for risk adjustment in hospital discharge abstracts across 6 countries.
How does APACHE II assess patient severity?
APACHE II is a severity of disease classification system. William A. Knaus, Elizabeth A. Draper, Douglas P. Wagner, and Jack E. Zimmerman (1985) based it on 12 physiologic measurements, age, and prior health status. It provides a point score for general risk measurement in critical care.
What did studies find about severe sepsis epidemiology?
Severe sepsis is common, expensive, and fatal, with U.S. annual deaths matching acute myocardial infarction. Derek C. Angus et al. (2001) analyzed incidence, outcomes, and costs, noting higher rates in the elderly. Incidence is projected to rise with population aging.
What is the Injury Severity Score?
The Injury Severity Score describes patients with multiple injuries and evaluates emergency care. Susan P. Baker, Brian O’Neill, William F. Haddon, and William B. Long (1974) developed it using Abbreviated Injury Scale data from over 2,000 persons. It correlates injury severity with survival for comparing death rates.
How does SAPS II predict mortality?
SAPS II is a Simplified Acute Physiology Score from a European/North American multicenter study. J. R. Le Gall (1993) designed it to estimate death risk without primary diagnosis specification. It supports intensive care unit efficiency evaluation.
What predicts low-risk community-acquired pneumonia patients?
A prediction rule identifies low-risk patients for death or adverse outcomes. Michael J. Fine et al. (1997) validated it to guide hospitalization decisions. It accurately stratifies community-acquired pneumonia cases.
Open Research Questions
- ? How can updated comorbidity indices like Charlson improve predictions for aging populations with emergency crowding?
- ? What refinements to APACHE II and SAPS II would better account for modern health care utilization patterns?
- ? How do triage systems mitigate rehospitalizations in Medicare patients during hospital overcrowding?
- ? Which factors most influence ambulance diversion and primary care access in geriatric emergency care?
- ? How effective are severity scores in reducing clinical outcome disparities from severe sepsis in elderly patients?
Recent Trends
The field holds at 76,567 works with no specified 5-year growth rate.
High-citation papers from 1974-2011 dominate, including Charlson et al. at 48,571 citations and Knaus et al. (1985) APACHE II at 13,331 citations.
1987No recent preprints or news indicate steady reliance on established severity and comorbidity tools.
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