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Cited by 1,566

The DOI matches its Crossref record.

National Hospital Ambulatory Medical Care Survey: 2007 Emergency Department Summary: (587172010-001)

Niska, Richard, Bhuiya, Farida, Xu, Jianmin·2010·PsycEXTRA Dataset

Abstract

OBJECTIVE: This report presents data on U.S. emergency department (ED) visits in 2007, with statistics on hospital, patient, and visit characteristics. METHODS: Data are from the 2007 National Hospital Ambulatory Medical Care Survey, which uses a national probability sample of visits to emergency departments of nonfederal general and short-stay hospitals in the United States. Sample data were weighted to produce annual national estimates. RESULTS: In 2007, there were about 117 million ED visits in the United States. About 25 percent of visits were covered by Medicaid or the State Children's Health Insurance Program (SCHIP). About one-fifth of ED visits by children younger than 15 years of age were to pediatric EDs. There were 121 ED visits for asthma per 10,000 children under 5 years of age. The leading injury-related cause of ED visits was unintentional falls. Two percent of visits resulted in admission to an observation unit. Electronic medical records were used in 62 percent of EDs.

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Metadata

Authors
Niska, R., Bhuiya, F., & Xu, J.
Venue
PsycEXTRA Dataset
Published
2010
Issue
26
Pages
1-31
OpenAlex
W2133440648
Cited by
1,566
References
0
Type
dataset
Language
en
Open access
closed

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CoChat. (2026). Citation check: National Hospital Ambulatory Medical Care Survey: 2007 Emergency Department Summary: (587172010-001). https://app.cochat.ai/papers/10.1037/e587172010-001
The paper
Niska, R., Bhuiya, F., & Xu, J. (2010). National Hospital Ambulatory Medical Care Survey: 2007 Emergency Department Summary: (587172010-001). PsycEXTRA Dataset. https://doi.org/10.1037/e587172010-001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.