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Forecasting COPD hospitalization in the clinic: optimizing the chronic respiratory questionnaire

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
twitter
7 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
62 Mendeley
Title
Forecasting COPD hospitalization in the clinic: optimizing the chronic respiratory questionnaire
Published in
International Journal of Chronic Obstructive Pulmonary Disease, October 2015
DOI 10.2147/copd.s87469
Pubmed ID
Authors

Roberto Benzo, Beatriz Abascal-Bolado, Paul Novotny, Jeffery Sloan, Craig Karpman, Megan Dulohery

Abstract

Forecasting hospitalization in patients with COPD has gained significant interest in the field of COPD care. There is a need to find simple tools that can help clinicians to stratify the risk of hospitalization in these patients at the time of care. The perception of quality of life has been reported to be independently associated with hospitalizations, but questionnaires are impractical for daily clinical use. Individual questions from valid questionnaires can have robust predictive abilities, as has been suggested in previous reports, as a way to use patient-reported outcomes to forecast important events like hospitalizations in COPD. Our primary aim was to assess the predictive value of individual questions from the Chronic Respiratory Questionnaire Self-Assessment Survey (CRQ-SAS) on the risk of hospitalization and to develop a clinically relevant and simple algorithm that clinicians can use in routine practice to identify patients with an increased risk of hospitalization. A total of 493 patients with COPD prospectively recruited from an outpatient pulmonary clinic completed the CRQ-SAS, demographic information, pulmonary function testing, and clinical outcomes. The cohort had a mean age of 70 years, was 54% male, with forced expiratory volume in 1 second percentage predicted 42.8±16.7, and modified Medical Research Council dyspnea scale score of 2±1.13. Our analysis validated the original CRQ-SAS domains. Importantly, recursive partitioning analysis identified three CRQ-SAS items regarding fear or panic of breathlessness, dyspnea with basic activities of daily living, and depressive symptoms that were highly predictive of hospitalization. We propose a robust (area under the curve =0.70) but short and easy algorithm for daily clinical care to forecast hospitalizations in patients with COPD. We identified three themes - fear of breathlessness, dyspnea with basic activities of daily living, and depressive symptoms - as important patient-reported outcomes to predict hospitalizations, and propose a short and easy algorithm to forecast hospitalizations in patients with COPD.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 19%
Student > Bachelor 10 16%
Student > Ph. D. Student 10 16%
Student > Doctoral Student 4 6%
Researcher 4 6%
Other 9 15%
Unknown 13 21%
Readers by discipline Count As %
Medicine and Dentistry 17 27%
Psychology 11 18%
Nursing and Health Professions 7 11%
Social Sciences 4 6%
Engineering 2 3%
Other 7 11%
Unknown 14 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 05 December 2018.
All research outputs
#3,530,909
of 19,820,231 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#422
of 2,126 outputs
Outputs of similar age
#59,810
of 298,332 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#22
of 84 outputs
Altmetric has tracked 19,820,231 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,126 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 80% 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 298,332 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 79% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.