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Association between patient age, geographical location, Indigenous status and hospitalisation for oral and dental conditions in Queensland, Australia

Overview of attention for article published in Australian Journal of Primary Health, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 policy source
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Citations

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11 Dimensions

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53 Mendeley
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Title
Association between patient age, geographical location, Indigenous status and hospitalisation for oral and dental conditions in Queensland, Australia
Published in
Australian Journal of Primary Health, July 2016
DOI 10.1071/py15105
Pubmed ID
Authors

Liam Caffery, Natalie Bradford, Maria Meurer, Anthony Smith

Abstract

A retrospective analysis of hospitalisation due to oral and dental conditions (ODC) was performed for patients in Queensland. The aim was to identify the rate and cost of hospitalisation and to examine the association between hospitalisation and age, geographical location and Indigenous status. There were 81528 admissions to Queensland's hospitals due to ODC during the 3-year study period (2011-2013). The annual cost of ODC-related hospitalisation was estimated to be AU$87million. Indigenous infants (Z=4.08, P<0.001) and primary school children (Z=2.01, P=0.046) were significantly more likely to be hospitalised than their non-Indigenous counterparts. A non-Indigenous high school child was almost fourfold more likely to be hospitalised. There was no significant difference in the rate of hospitalisation for adults. Infants (Z=6.70, P<0.001) and primary school children (Z=8.73, P<0.001) from remote areas were significantly more likely to be hospitalised than their age-matched metropolitan counterparts. Whereas high school children (Z=2.74, P=0.006) and adults (Z=6.02, P<0.001) from remote areas were significantly less likely to be hospitalised. Our findings suggest that there is a need for alternative models of primary dental care to service remote areas of Queensland and Indigenous populations. Strategies that enable Indigenous Health Workers to provide dental care, and the use of teledentistry, are models of care that may reduce potentially preventable hospitalisations and lead to cost savings and better health outcomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 9%
Student > Bachelor 5 9%
Librarian 4 8%
Professor 3 6%
Researcher 3 6%
Other 10 19%
Unknown 23 43%
Readers by discipline Count As %
Medicine and Dentistry 18 34%
Social Sciences 3 6%
Psychology 2 4%
Environmental Science 1 2%
Decision Sciences 1 2%
Other 3 6%
Unknown 25 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 June 2020.
All research outputs
#6,275,904
of 25,373,627 outputs
Outputs from Australian Journal of Primary Health
#142
of 627 outputs
Outputs of similar age
#98,889
of 372,256 outputs
Outputs of similar age from Australian Journal of Primary Health
#4
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 77% 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 372,256 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.