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Modeling factors influencing the demand for emergency department services in ontario: a comparison of methods

Overview of attention for article published in BMC Emergency Medicine, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
200 Mendeley
citeulike
1 CiteULike
Title
Modeling factors influencing the demand for emergency department services in ontario: a comparison of methods
Published in
BMC Emergency Medicine, August 2011
DOI 10.1186/1471-227x-11-13
Pubmed ID
Authors

Rahim Moineddin, Christopher Meaney, Mohammad Agha, Brandon Zagorski, Richard Henry Glazier

Abstract

Emergency departments are medical treatment facilities, designed to provide episodic care to patients suffering from acute injuries and illnesses as well as patients who are experiencing sporadic flare-ups of underlying chronic medical conditions which require immediate attention. Supply and demand for emergency department services varies across geographic regions and time. Some persons do not rely on the service at all whereas; others use the service on repeated occasions. Issues regarding increased wait times for services and crowding illustrate the need to investigate which factors are associated with increased frequency of emergency department utilization. The evidence from this study can help inform policy makers on the appropriate mix of supply and demand targeted health care policies necessary to ensure that patients receive appropriate health care delivery in an efficient and cost-effective manner. The purpose of this report is to assess those factors resulting in increased demand for emergency department services in Ontario. We assess how utilization rates vary according to the severity of patient presentation in the emergency department. We are specifically interested in the impact that access to primary care physicians has on the demand for emergency department services. Additionally, we wish to investigate these trends using a series of novel regression models for count outcomes which have yet to be employed in the domain of emergency medical research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
New Zealand 1 <1%
United States 1 <1%
Unknown 194 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 26%
Researcher 25 13%
Student > Ph. D. Student 15 8%
Student > Bachelor 14 7%
Student > Doctoral Student 12 6%
Other 33 17%
Unknown 49 25%
Readers by discipline Count As %
Medicine and Dentistry 67 34%
Nursing and Health Professions 24 12%
Social Sciences 19 10%
Business, Management and Accounting 9 5%
Economics, Econometrics and Finance 7 4%
Other 18 9%
Unknown 56 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2019.
All research outputs
#2,630,681
of 22,649,029 outputs
Outputs from BMC Emergency Medicine
#114
of 742 outputs
Outputs of similar age
#13,689
of 123,837 outputs
Outputs of similar age from BMC Emergency Medicine
#1
of 6 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 742 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 123,837 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them