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Effectiveness of a standardized electronic admission order set for acute exacerbation of chronic obstructive pulmonary disease

Overview of attention for article published in BMC Pulmonary Medicine, May 2018
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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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
twitter
8 tweeters

Citations

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8 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Effectiveness of a standardized electronic admission order set for acute exacerbation of chronic obstructive pulmonary disease
Published in
BMC Pulmonary Medicine, May 2018
DOI 10.1186/s12890-018-0657-x
Pubmed ID
Authors

Sachin R. Pendharkar, Maria B. Ospina, Danielle A. Southern, Naushad Hirani, Jim Graham, Peter Faris, Mohit Bhutani, Richard Leigh, Christopher H. Mody, Michael K. Stickland

Abstract

Variation in hospital management of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) may prolong length of stay, increasing the risk of hospital-acquired complications and worsening quality of life. We sought to determine whether an evidence-based computerized AECOPD admission order set could improve quality and reduce length of stay. The order set was designed by a provincial COPD working group and implemented voluntarily among three physician groups in a Canadian tertiary-care teaching hospital. The primary outcome was length of stay for patients admitted during order set implementation period, compared to the previous 12 months. Secondary outcomes included length of stay of patients admitted with and without order set after implementation, all-cause readmissions, and emergency department visits. There were 556 admissions prior to and 857 admissions after order set implementation, for which the order set was used in 47%. There was no difference in overall length of stay after implementation (median 6.37 days (95% confidence interval 5.94, 6.81) pre-implementation vs. 6.02 days (95% confidence interval 5.59, 6.46) post-implementation, p = 0.26). In the post-implementation period, order set use was associated with a 1.15-day reduction in length of stay (95% confidence interval - 0.5, - 1.81, p = 0.001) compared to patients admitted without the order set. There was no difference in readmissions. Use of a computerized guidelines-based admission order set for COPD exacerbations reduced hospital length of stay without increasing readmissions. Interventions to increase order set use could lead to greater improvements in length of stay and quality of care.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 20%
Student > Master 7 15%
Librarian 4 9%
Student > Postgraduate 4 9%
Unspecified 3 7%
Other 9 20%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 20 43%
Unspecified 3 7%
Engineering 3 7%
Nursing and Health Professions 2 4%
Computer Science 2 4%
Other 6 13%
Unknown 10 22%

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 20 February 2019.
All research outputs
#4,029,768
of 22,919,505 outputs
Outputs from BMC Pulmonary Medicine
#271
of 1,934 outputs
Outputs of similar age
#79,718
of 330,417 outputs
Outputs of similar age from BMC Pulmonary Medicine
#8
of 51 outputs
Altmetric has tracked 22,919,505 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 1,934 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 330,417 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 75% 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 done well, scoring higher than 86% of its contemporaries.