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Judgement analysis of case severity and future risk of disability regarding chronic low back pain by general practitioners in Ireland

Overview of attention for article published in PLOS ONE, March 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Judgement analysis of case severity and future risk of disability regarding chronic low back pain by general practitioners in Ireland
Published in
PLOS ONE, March 2018
DOI 10.1371/journal.pone.0194387
Pubmed ID
Authors

Christopher P. Dwyer, Pádraig MacNeela, Hannah Durand, Andrea Gibbons, Bronagh Reynolds, Edel Doherty, Sinéad Conneely, Brian W. Slattery, Andrew W. Murphy, Brian E. McGuire

Abstract

Chronic low back pain is a major healthcare burden that has wide ranging effects on the individual, their family, society and the workplace. However, appropriate management and treatment is often difficult, as a majority of cases are non-specific in terms of underlying pathology. As a result, there are extensive differences in both individual patient preferences for treatment and treatment decisions amongst general practitioners. The current study examined the clinical judgements of GPs in Ireland, regarding fictional patients' case severity and future risk of disability, through judgement analysis. Judgement analysis (JA) is an idiographic regression modelling technique that has been utilised in extant healthcare research for the purpose of allocating weighting to judgement criteria, or cues, observed by professionals in their clinical decision-making. The primary aim of the study was to model two critical information utilisation tasks performed by GPs with regard to CLBP-in combining information cues to form a judgement about current case severity and a judgement about the same patient's risk of future disability. It was hypothesised that the judgement weighting would differ across the two judgements and that judgements regarding future risk of disability would be less consistent among GPs than judgements about case severity. Results from the regression-based judgement analysis and subsequent follow-up statistical analysis provided support for both study hypotheses. Study findings are discussed in light of theory and research on judgement, clinical decision-making and chronic low back pain.

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The data shown below were collected from the profiles of 7 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 22%
Researcher 6 15%
Student > Master 5 12%
Student > Doctoral Student 5 12%
Librarian 1 2%
Other 2 5%
Unknown 13 32%
Readers by discipline Count As %
Nursing and Health Professions 9 22%
Medicine and Dentistry 5 12%
Sports and Recreations 4 10%
Social Sciences 3 7%
Business, Management and Accounting 2 5%
Other 5 12%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 July 2018.
All research outputs
#6,781,599
of 24,874,764 outputs
Outputs from PLOS ONE
#91,963
of 215,427 outputs
Outputs of similar age
#110,516
of 335,634 outputs
Outputs of similar age from PLOS ONE
#1,269
of 3,547 outputs
Altmetric has tracked 24,874,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 215,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 57% 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 335,634 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 66% of its contemporaries.
We're also able to compare this research output to 3,547 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 64% of its contemporaries.