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Differences in test ordering between nurse practitioners and attending emergency physicians when acting as Provider in Triage

Overview of attention for article published in American Journal of Emergency Medicine, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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12 X users
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4 Redditors

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63 Mendeley
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Article details
Title
Differences in test ordering between nurse practitioners and attending emergency physicians when acting as Provider in Triage
Published in
American Journal of Emergency Medicine, April 2017
DOI 10.1016/j.ajem.2017.04.027
Pubmed ID
Authors
Abstract

To compare diagnostic test ordering practices of NPs with those of physicians in the role of Provider in Triage (PIT). This was a secondary analysis of data from a prospective RCT of waiting room diagnostic testing, where 770 patients had diagnostic studies ordered from the waiting room. The primary outcome was the number of test categories ordered by provider type. Other outcomes included total tests ordered by the end of ED stay, and time in an ED bed. We compared variables between groups using t-test and chi-square, constructed logistic regression models for individual test categories, and univariate and multivariate negative binomial models. Physicians ordered significantly more diagnostic test categories than NPs (1.75 vs. 1.54, p<0.001). By the end of their ED stay, there was no significant difference in total test categories ordered between provider type: physician 2.67 vs. NP 2.53 (p=0.08), using a nonbinomial model, incidence rate ratio (IRR) 1.07 (0.98-1.17). Patient time in an ED bed was not significantly different between physicians and NPs (NP 244min, SD=133, Physicians 248min, SD=152) difference 4min (-24.3-16.1) p=0.688. NPs in the PIT role ordered slightly less diagnostic tests than attending physicians. This slight difference did not affect time spent in an ED bed. By the end of the ED stay, there was no significant difference in total test categories ordered between provider types. PIT staffing with NPs does not appear to be associated with excess test ordering or prolonged ED patient stays.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 14%
Researcher 6 10%
Other 4 6%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 11 17%
Unknown 27 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 19 30%
Nursing and Health Professions 15 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 26 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 December 2024.
All research outputs
#4,938,870
of 34,518,147 outputs
Outputs from American Journal of Emergency Medicine
#1,669
of 7,604 outputs
Outputs of similar age
#65,837
of 353,472 outputs
Outputs of similar age from American Journal of Emergency Medicine
#26
of 129 outputs
Altmetric has tracked 34,518,147 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 78% 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 353,472 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 81% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.