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Association of Descriptors of Breathlessness With Diagnosis and Self-Reported Severity of Breathlessness in Patients With Advanced Chronic Obstructive Pulmonary Disease or Cancer

Overview of attention for article published in Journal of Pain & Symptom Management, August 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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6 tweeters

Citations

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3 Dimensions

Readers on

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23 Mendeley
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Title
Association of Descriptors of Breathlessness With Diagnosis and Self-Reported Severity of Breathlessness in Patients With Advanced Chronic Obstructive Pulmonary Disease or Cancer
Published in
Journal of Pain & Symptom Management, August 2016
DOI 10.1016/j.jpainsymman.2016.01.014
Pubmed ID
Authors

Sarah Chowienczyk, Shagayegh Javadzadeh, Sara Booth, Morag Farquhar

Abstract

Verbal descriptors are important in understanding patients' experience of breathlessness. To examine the association between selection of breathlessness descriptors, diagnosis, self-reported severity of breathlessness and self-reported distress due to breathlessness. We studied 132 patients grouped according to their diagnosis advanced COPD (n=69) or advanced cancer (n=63), self-reported severity of breathlessness: mild breathlessness (Numerical Rating Scale (NRS) ≤3, n=53), moderate breathlessness (4≤NRS≥6, n=59) or severe breathlessness (NRS ≥7, n=20), and distress due to breathlessness: mild distress (NRS ≤3, n=31), moderate distress (4≤NRS≥6, n= 44) or severe distress (NRS ≥7, n=57). Patients selected three breathlessness descriptors. The relationship between descriptors selected and patient groups was evaluated by cluster analysis. Different combinations of clusters were associated with each diagnostic group; the cluster chest tightness was associated with cancer patients. The association of clusters with patient groups differed depending on their severity of breathlessness and their distress due to breathlessness. The air hunger cluster was associated with patients with moderate or severe breathlessness, the chest tightness cluster was associated with patients with mild breathlessness. The air hunger cluster was associated with patients with severe distress due to breathlessness. The relationship between clusters and diagnosis is not robust enough to use the descriptors to identify the primary cause of breathlessness. Further work exploring how use of breathlessness descriptors reflects the severity of breathlessness and distress due to breathlessness could enable the descriptors to evaluate patient status and target interventions.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Doctoral Student 3 13%
Other 3 13%
Student > Ph. D. Student 3 13%
Student > Postgraduate 2 9%
Other 5 22%
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Psychology 4 17%
Nursing and Health Professions 4 17%
Social Sciences 3 13%
Unspecified 2 9%
Other 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 August 2016.
All research outputs
#3,398,567
of 12,809,841 outputs
Outputs from Journal of Pain & Symptom Management
#806
of 2,215 outputs
Outputs of similar age
#76,523
of 264,361 outputs
Outputs of similar age from Journal of Pain & Symptom Management
#16
of 51 outputs
Altmetric has tracked 12,809,841 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,215 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 63% 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 264,361 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 70% of its contemporaries.
We're also able to compare this research output to 51 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 68% of its contemporaries.