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Implementing a QCancer risk tool into general practice consultations: an exploratory study using simulated consultations with Australian general practitioners

Overview of attention for article published in British Journal of Cancer, March 2015
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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1 news outlet
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4 X users

Citations

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49 Dimensions

Readers on

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154 Mendeley
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Title
Implementing a QCancer risk tool into general practice consultations: an exploratory study using simulated consultations with Australian general practitioners
Published in
British Journal of Cancer, March 2015
DOI 10.1038/bjc.2015.46
Pubmed ID
Authors

P P-C Chiang, D Glance, J Walker, F M Walter, J D Emery

Abstract

Background:Reducing diagnostic delays in primary care by improving the assessment of symptoms associated with cancer could have significant impacts on cancer outcomes. Symptom risk assessment tools could improve the diagnostic assessment of patients with symptoms suggestive of cancer in primary care. We aimed to explore the use of a cancer risk tool, which implements the QCancer model, in consultations and its potential impact on clinical decision making.Methods:We implemented an exploratory 'action design' method with 15 general practitioners (GPs) from Victoria, Australia. General practitioners applied the risk tool in simulated consultations, conducted semi-structured interviews based on the normalisation process theory and explored issues relating to implementation of the tool.Results:The risk tool was perceived as being potentially useful for patients with complex histories. More experienced GPs were distrustful of the risk output, especially when it conflicted with their clinical judgement. Variable interpretation of symptoms meant that there was significant variation in risk assessment. When a risk output was high, GPs were confronted with numerical risk outputs creating challenges in consultation.Conclusions:Significant barriers to implementing electronic cancer risk assessment tools in consultation could limit their uptake. These relate not only to the design and integration of the tool but also to variation in interpretation of clinical histories, and therefore variable risk outputs and strong beliefs in personal clinical intuition.British Journal of Cancer advance online publication, 3 March 2015; doi:10.1038/bjc.2015.46 www.bjcancer.com.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 152 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 38 25%
Researcher 19 12%
Student > Master 16 10%
Student > Ph. D. Student 15 10%
Other 12 8%
Other 23 15%
Unknown 31 20%
Readers by discipline Count As %
Medicine and Dentistry 76 49%
Nursing and Health Professions 13 8%
Psychology 7 5%
Computer Science 4 3%
Social Sciences 3 2%
Other 17 11%
Unknown 34 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 July 2015.
All research outputs
#2,429,268
of 22,794,367 outputs
Outputs from British Journal of Cancer
#1,398
of 10,417 outputs
Outputs of similar age
#32,572
of 256,959 outputs
Outputs of similar age from British Journal of Cancer
#68
of 142 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,417 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 86% 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 256,959 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 87% of its contemporaries.
We're also able to compare this research output to 142 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 52% of its contemporaries.